{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Introduction: loading, slicing, dicing model output\n", "\n", "This tutorial is designed to help new users get to grips with the COSIMA Cookbook.\n", "\n", "The COSIMA Cookbook is collection of recipes for analysing ocean and sea ice model output, using a common method of loading the output.\n", "\n", "The tutorial requires:\n", " * Access to the ACCESS-NRI Intake Catalog (through project `xp65`).\n", " * Ability to open a Jupyter notebook on the NCI's Gadi HPC (e.g., via the ARE).\n", " * Access an appropriate set of `conda` packages to load the appropriate python libraries (such as through the `xp65` conda packages)." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Before starting,** load in some standard libraries that you are likely to need:" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "# To start a dask cluster\n", "from dask.distributed import Client\n", "# For plotting\n", "import matplotlib.pyplot as plt\n", "# For oceanographic colormaps\n", "import cmocean as cm\n", "# For numerical operations\n", "import numpy as np" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Start a cluster with multiple cores" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Client

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Client-8cd8f7c6-bf7b-11f0-95b3-000003c1fe80

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Connection method: Cluster objectCluster type: distributed.LocalCluster
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Cluster Info

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LocalCluster

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f8aeb0da

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Status: runningUsing processes: True
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Scheduler Info

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Scheduler

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Scheduler-66952877-86e7-4706-99e2-1cf4bb485574

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\n", " Comm: tcp://127.0.0.1:41137\n", " \n", " Workers: 0 \n", "
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Workers

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Worker: 0

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\n", " Comm: tcp://127.0.0.1:41421\n", " \n", " Total threads: 1\n", "
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\n", " Nanny: tcp://127.0.0.1:35345\n", "
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Worker: 1

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Worker: 2

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\n", " Nanny: tcp://127.0.0.1:42867\n", "
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Worker: 3

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\n", " Nanny: tcp://127.0.0.1:43415\n", "
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Worker: 4

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Worker: 5

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Worker: 6

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Worker: 7

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Worker: 8

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Worker: 9

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Worker: 10

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Worker: 11

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Worker: 12

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Worker: 13

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Worker: 14

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Worker: 15

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Worker: 16

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Worker: 17

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Worker: 18

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Worker: 19

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Worker: 20

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Worker: 21

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Worker: 22

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Worker: 23

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Worker: 24

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Worker: 25

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Worker: 26

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Worker: 27

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" ], "text/plain": [ "" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "client = Client(threads_per_worker=1)\n", "client" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In addition, you **always** need to load the `intake` module. \n", "This provides functions that we use to load data via the ACCESS-NRI Intake Catalog:" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "import intake" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 1. The Cookbook Philosophy\n", "The COSIMA Cookbook is a framework for analysing ocean-sea ice model output.\n", "It is designed to:\n", "\n", "* Provide examples of commonly used analyses;\n", "* Write efficient, well-documented, openly accessible code;\n", "* Encourage community contributions to the code;\n", "* Ensure analyses results are reproducible;\n", "* Carry out analysis using directly the model output, minimising creation of intermediate files;\n", "* Find methods to deal with the memory limitations when analysing high-resolution model output.\n", "\n", "### 1.1 A database of experiments\n", "The COSIMA Cookbook relies on a database of experiments (let's call it a datastore) in order to load model output. This datastore effectively holds metadata for each experiment, as well as variable names, data ranges and so on. \n", "\n", "**NCI Projects**: Access to COSIMA ocean-sea ice model output requires that you are a member of NCI projects `xp65`, `ik11`, `cj50`, and `ol01`.\n", "\n", "With that sorted out, there are three different ways for you to access the datastore:\n", "\n", "1. Use the default ACCESS-NRI catalog, which is periodically refreshed automatically. This datastore includes many experiments stored in the COSIMA data directories on NCI under the projects mentioned above. The examples in this tutorial use this datastore.\n", "\n", "2. Use another datastore that someone has made for you.\n", "\n", "3. Make your own catalog, which is stored in your own path and includes only the experiments you are interested in. Please refer to the [`Make_Your_Own_Intake_Datastore`](https://cosima-recipes.readthedocs.io/en/latest/01-Cooking-Tutorials/02-Advanced/Make_Your_Own_Intake_Datastore.html) tutorial for instructions on how to create this datastore.\n", "\n", "To access the default datastore, you need to load it each time you fire up a notebook:" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "catalog = intake.cat.access_nri" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 1.2 Inbuilt Catalog Functions\n", "\n", "We have constructed a few functions to help you operate the cookbook and to access the datasets. The following functions query and display the data available in the datastore, without loading the data itself." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "`catalog` lists all of the experiments and variables that are included in the datastore. The format is mostly self-explanatory, but the list is huge (and noth particularly useful):" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "text/html": [ "

access_nri catalog with 120 source(s) across 2569 rows:

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modeldescriptionrealmfrequencyvariable
name
01deg_jra55_ryf_Control{ACCESS-OM2-01}{0.1° ACCESS-OM2 repeat year forcing control run for the simulations performed in Huguenin et al. (2024, GRL)}{ocean, seaIce}{1mon, fx}{shear_m, xt_ocean, total_ocean_evap, temp_yflux_adv, total_ocean_calving, tarea, temp_surface_ave, ty_trans, sw_heat_on_nrho, temp_tendency, temp_vdiffuse_diff_cbt, mass_pmepr_on_nrho, evap, TLON...
01deg_jra55_ryf_ENFull{ACCESS-OM2}{0.1° ACCESS-OM2 El Níño run for the simulations performed in Huguenin et al. (2024, GRL)}{ocean, seaIce}{1mon, fx}{shear_m, xt_ocean, total_ocean_evap, tarea, total_ocean_calving, temp_surface_ave, ty_trans, temp_tendency, temp_vdiffuse_diff_cbt, TLON, evap, st_edges_ocean, grid_xu_ocean, average_DT, salt_sur...
01deg_jra55_ryf_LNFull{ACCESS-OM2}{0.1° ACCESS-OM2 La Níña run for the simulations performed in Huguenin et al. (2024, GRL)}{ocean, seaIce}{1mon, fx}{shear_m, xt_ocean, total_ocean_evap, tarea, total_ocean_calving, temp_surface_ave, ty_trans, temp_tendency, temp_vdiffuse_diff_cbt, TLON, evap, st_edges_ocean, grid_xu_ocean, average_DT, salt_sur...
01deg_jra55v13_ryf9091{ACCESS-OM2-01}{0.1 degree ACCESS-OM2 global model configuration with JRA55-do v1.3 RYF9091 repeat year forcing (May 1990 to Apr 1991)}{ocean, seaIce}{fx, 3mon, 3hr, 1day, 1mon}{shear_m, xt_ocean, total_ocean_evap, temp_yflux_adv, total_ocean_calving, tarea, temp_surface_ave, ty_trans, temp_tendency, TLON, evap, yt_ocean_sub01, st_edges_ocean, grid_xu_ocean, average_DT, ...
01deg_jra55v13_ryf9091_easterlies_down10{ACCESS-OM2-01}{0.1 degree ACCESS-OM2 global model configuration with JRA55-do v1.3 RYF9091 repeat year forcing (May 1990 to Apr 1991) and zonal/meridional wind speed around Antarctica decreased by 10%.}{ocean, seaIce}{1day, 1mon, fx}{shear_m, xt_ocean, total_ocean_evap, temp_yflux_adv, total_ocean_calving, tarea, temp_surface_ave, ty_trans, TLON, evap, st_edges_ocean, grid_xu_ocean, average_DT, salt_surface_ave, yt_ocean, geo...
01deg_jra55v13_ryf9091_easterlies_up10{ACCESS-OM2-01}{0.1 degree ACCESS-OM2 global model configuration with JRA55-do v1.3 RYF9091 repeat year forcing (May 1990 to Apr 1991) and zonal/meridional wind speed around Antarctica increased by 10%.}{ocean, seaIce}{1day, 1mon, fx}{shear_m, xt_ocean, total_ocean_evap, temp_yflux_adv, total_ocean_calving, tarea, temp_surface_ave, ty_trans, TLON, evap, st_edges_ocean, grid_xu_ocean, average_DT, salt_surface_ave, yt_ocean, geo...
01deg_jra55v13_ryf9091_easterlies_up10_meridional{ACCESS-OM2-01}{0.1 degree ACCESS-OM2 global model configuration with JRA55-do v1.3 RYF9091 repeat year forcing (May 1990 to Apr 1991) and meridional wind speed around Antarctica increased by 10%.}{ocean, seaIce}{1day, 1mon, fx}{shear_m, xt_ocean, total_ocean_evap, temp_yflux_adv, total_ocean_calving, tarea, temp_surface_ave, ty_trans, TLON, evap, st_edges_ocean, grid_xu_ocean, average_DT, salt_surface_ave, yt_ocean, geo...
01deg_jra55v13_ryf9091_easterlies_up10_zonal{ACCESS-OM2-01}{0.1 degree ACCESS-OM2 global model configuration with JRA55-do v1.3 RYF9091 repeat year forcing (May 1990 to Apr 1991) and zonal wind speed around Antarctica increased by 10%.}{ocean, seaIce}{1day, 1mon, fx}{shear_m, xt_ocean, total_ocean_evap, temp_yflux_adv, total_ocean_calving, tarea, temp_surface_ave, ty_trans, TLON, evap, st_edges_ocean, grid_xu_ocean, average_DT, salt_surface_ave, yt_ocean, geo...
01deg_jra55v13_ryf9091_qian_wthmp{ACCESS-OM2}{Future perturbations with wind, thermal and meltwater forcing, branching off 01deg_jra55v13_ryf9091, as described in Li et al. 2023, https://www.nature.com/articles/s41586-023-05762-w}{ocean, seaIce}{1mon, fx}{shear_m, xt_ocean, total_ocean_evap, tarea, total_ocean_calving, temp_surface_ave, ty_trans, temp_tendency, temp_vdiffuse_diff_cbt, TLON, evap, st_edges_ocean, grid_xu_ocean, average_DT, salt_sur...
01deg_jra55v13_ryf9091_qian_wthp{ACCESS-OM2}{Future perturbation with wind and thermal forcing, branching off 01deg_jra55v13_ryf9091, as described in Li et al. 2023, https://www.nature.com/articles/s41586-023-05762-w}{ocean, seaIce}{1mon, fx}{shear_m, xt_ocean, total_ocean_evap, tarea, total_ocean_calving, temp_surface_ave, ty_trans, temp_tendency, temp_vdiffuse_diff_cbt, TLON, evap, st_edges_ocean, grid_xu_ocean, average_DT, salt_sur...
01deg_jra55v13_ryf9091_weddell_down2{ACCESS-OM2-01}{Weddell Sea decreased meltwater perturbation experiment, branched off 01deg_jra55v13_ryf9091. }{ocean, seaIce}{1day, 1mon, fx}{shear_m, xt_ocean, total_ocean_evap, temp_yflux_adv, total_ocean_calving, tarea, temp_surface_ave, ty_trans, TLON, evap, st_edges_ocean, grid_xu_ocean, average_DT, salt_surface_ave, yt_ocean, geo...
01deg_jra55v13_ryf9091_weddell_up1{ACCESS-OM2-01}{Weddell Sea increased meltwater perturbation experiment, branched off 01deg_jra55v13_ryf9091. }{ocean, seaIce}{1day, 1mon, fx}{shear_m, xt_ocean, total_ocean_evap, temp_yflux_adv, total_ocean_calving, tarea, temp_surface_ave, ty_trans, TLON, evap, st_edges_ocean, grid_xu_ocean, average_DT, salt_surface_ave, yt_ocean, geo...
01deg_jra55v140_iaf{ACCESS-OM2-01}{Cycle 1 of 0.1 degree ACCESS-OM2 global model configuration with JRA55-do v1.4.0 OMIP2 interannual forcing}{ocean, seaIce}{1day, 1mon, fx}{shear_m, xt_ocean, total_ocean_evap, temp_yflux_adv, total_ocean_calving, tarea, dvidtt, temp_surface_ave, ty_trans, TLON, evap, st_edges_ocean, average_DT, salt_surface_ave, yt_ocean, geolon_t, ...
01deg_jra55v140_iaf_cycle2{ACCESS-OM2-01}{Cycle 2 of 0.1 degree ACCESS-OM2 global model configuration with JRA55-do v1.4.0 OMIP2 interannual forcing}{ocean, seaIce}{1day, 1mon, fx}{sea_level_max, shear_m, xt_ocean, total_ocean_evap, temp_yflux_adv, tarea, dvidtt, temp_surface_ave, VGRDi, ty_trans, TLON, evap, st_edges_ocean, fsurf_ai, average_DT, salt_surface_ave, yt_ocean,...
01deg_jra55v140_iaf_cycle3{ACCESS-OM2-01}{Cycle 3 of 0.1 degree ACCESS-OM2 global model configuration with JRA55-do v1.4.0 OMIP2 interannual forcing}{ocean, seaIce}{1day, 1mon, fx}{sea_level_max, shear_m, xt_ocean, total_ocean_evap, temp_yflux_adv, tarea, dvidtt, temp_surface_ave, VGRDi, ty_trans, TLON, evap, st_edges_ocean, grid_xu_ocean, fsurf_ai, salt_yflux_adv, average_...
01deg_jra55v140_iaf_cycle4{ACCESS-OM2-01}{Cycle 4 of 0.1 degree ACCESS-OM2 global model configuration with JRA55-do v1.4.0 OMIP2 interannual forcing}{ocean, seaIce}{6hr, fx, 3hr, 1day, 1mon}{det_intmld, alvdr_ai, temp_surface_ave, aice_h, ml_Nit_m, skl_Nit_m, fsurf_ai, geolon_t, u, fe_int100, bottom_temp_max, flatn_ai_m, total_ocean_river_heat, ty_trans_int_z, surface_fe, total_ocean...
01deg_jra55v140_iaf_cycle4_jra55v150_extension{ACCESS-OM2-01}{Extensions of cycle 4 of 0.1 degree ACCESS-OM2 + WOMBAT BGC global model configuration with JRA55-do v1.5.0 and v1.5.0.1 interannual forcing}{ocean, seaIce}{1day, 1mon, subhr, fx}{det_intmld, temp_surface_ave, ml_Nit_m, skl_Nit_m, fsurf_ai, geolon_t, u, fe_int100, bottom_temp_max, flatn_ai_m, total_ocean_river_heat, ty_trans_int_z, surface_fe, total_ocean_heat, alidr_ai_m,...
01deg_jra55v150_iaf_cycle1{ACCESS-OM2}{Cycle 1 of 0.1 degree ACCESS-OM2 global model configuration with JRA55-do v1.5.0 OMIP2 interannual forcing}{ocean, seaIce}{1day, 1mon, fx}{xt_ocean, ty_trans, TLON, evap, st_edges_ocean, average_DT, geolon_t, yt_ocean, dzt, evap_heat, fprec_melt_heat, st_ocean, xu_ocean, u, pbot_t, runoff, mh_flux, wfimelt, ty_trans_int_z, nv, grid_...
025deg_era5_iaf{ACCESS-OM2}{0.25 degree ACCESS-OM2 global model configuration with ERA5 interannual\\nforcing (1980-2021)}{ocean, seaIce}{1day, 1mon, fx}{sea_level_max, shear_m, xt_ocean, total_ocean_evap, tarea, dvidtt, temp_surface_ave, strtlty_m, snow_ai_m, TLON, evap, st_edges_ocean, fcondtopn_ai_m, average_DT, salt_surface_ave, yt_ocean, geol...
025deg_era5_ryf{ACCESS-OM2}{0.25 degree ACCESS-OM2 global model configuration with ERA5 RYF9091 repeat\\nyear forcing (May 1990 to Apr 1991)}{ocean, seaIce}{1day, 1mon, fx}{shear_m, xt_ocean, total_ocean_evap, tarea, dvidtt, temp_surface_ave, strtlty_m, snow_ai_m, TLON, evap, st_edges_ocean, fcondtopn_ai_m, average_DT, salt_surface_ave, yt_ocean, geolon_t, uvel_m, d...
025deg_jra55_iaf_era5comparison{ACCESS-OM2}{0.25 degree ACCESS-OM2 global model configuration with JRA55-do v1.5.0\\ninterannual forcing (1980-2019)}{ocean, seaIce}{1day, 1mon, fx}{sea_level_max, shear_m, xt_ocean, total_ocean_evap, tarea, dvidtt, temp_surface_ave, strtlty_m, snow_ai_m, TLON, evap, st_edges_ocean, fcondtopn_ai_m, average_DT, salt_surface_ave, yt_ocean, geol...
025deg_jra55_iaf_omip2_cycle1{ACCESS-OM2}{Cycle 1/6 of 0.25 degree ACCESS-OM2 physics-only global configuration with JRA55-do v1.4 OMIP2 interannual forcing (1958-2019)}{ocean, seaIce}{1day, 1yr, 1mon, fx}{ty_trans_gm, temp_surface_ave, usq, snow_ai_m, fcondtopn_ai_m, aiso_bih, fsurf_ai, geolon_t, patm_t, liceht, u, flatn_ai_m, total_ocean_river_heat, ty_trans_int_z, total_ocean_heat, alidr_ai_m, s...
025deg_jra55_iaf_omip2_cycle2{ACCESS-OM2}{Cycle 1/6 of 0.25 degree ACCESS-OM2 physics-only global configuration with JRA55-do v1.4 OMIP2 interannual forcing (1958-2019)}{ocean, seaIce}{1day, 1yr, 1mon, fx}{ty_trans_gm, temp_surface_ave, usq, snow_ai_m, fcondtopn_ai_m, aiso_bih, fsurf_ai, geolon_t, patm_t, liceht, u, flatn_ai_m, total_ocean_river_heat, ty_trans_int_z, total_ocean_heat, alidr_ai_m, s...
025deg_jra55_iaf_omip2_cycle3{ACCESS-OM2}{Cycle 3/6 of 0.25 degree ACCESS-OM2 physics-only global configuration with JRA55-do v1.4 OMIP2 interannual forcing (1958-2019)}{ocean, seaIce}{1day, 1yr, 1mon, fx}{ty_trans_gm, temp_surface_ave, usq, snow_ai_m, fcondtopn_ai_m, aiso_bih, fsurf_ai, geolon_t, patm_t, liceht, u, flatn_ai_m, total_ocean_river_heat, ty_trans_int_z, total_ocean_heat, alidr_ai_m, s...
025deg_jra55_iaf_omip2_cycle4{ACCESS-OM2}{Cycle 4/6 of 0.25 degree ACCESS-OM2 physics-only global configuration with JRA55-do v1.4 OMIP2 interannual forcing (1958-2019)}{ocean, seaIce}{1day, 1yr, 1mon, fx}{ty_trans_gm, temp_surface_ave, usq, snow_ai_m, fcondtopn_ai_m, aiso_bih, fsurf_ai, geolon_t, patm_t, liceht, u, flatn_ai_m, total_ocean_river_heat, ty_trans_int_z, total_ocean_heat, alidr_ai_m, s...
025deg_jra55_iaf_omip2_cycle5{ACCESS-OM2}{Cycle 5/6 of 0.25 degree ACCESS-OM2 physics-only global configuration with JRA55-do v1.4 OMIP2 interannual forcing (1958-2019)}{ocean, seaIce}{1day, 1yr, 1mon, fx}{ty_trans_gm, temp_surface_ave, usq, snow_ai_m, fcondtopn_ai_m, aiso_bih, fsurf_ai, geolon_t, patm_t, liceht, u, flatn_ai_m, total_ocean_river_heat, ty_trans_int_z, total_ocean_heat, alidr_ai_m, s...
025deg_jra55_iaf_omip2_cycle6{ACCESS-OM2}{Cycle 6/6 of 0.25 degree ACCESS-OM2 physics-only global configuration with JRA55-do v1.4 OMIP2 interannual forcing (1958-2019)}{ocean, seaIce}{1day, 1mon, fx}{ty_trans_gm, temp_surface_ave, usq, snow_ai_m, fcondtopn_ai_m, aiso_bih, fsurf_ai, geolon_t, patm_t, liceht, u, bottom_temp_max, flatn_ai_m, total_ocean_river_heat, ty_trans_int_z, total_ocean_he...
025deg_jra55_ryf9091_gadi{ACCESS-OM2}{0.25 degree ACCESS-OM2 physics-only global configuration with JRA55-do v1.3 RYF9091 repeat year forcing (May 1990 to Apr 1991)}{ocean, seaIce}{1yr, 1mon, fx}{shear_m, xt_ocean, total_ocean_evap, tarea, total_ocean_calving, temp_surface_ave, strtlty_m, ty_trans, snow_ai_m, TLON, st_edges_ocean, fcondtopn_ai_m, average_DT, salt_surface_ave, yt_ocean, ge...
025deg_jra55_ryf_era5comparison{ACCESS-OM2}{0.25 degree ACCESS-OM2 global model configuration with JRA55-do v1.4.0\\nRYF9091 repeat year forcing (May 1990 to Apr 1991)}{ocean, seaIce}{1day, 1mon, fx}{sea_level_max, shear_m, xt_ocean, total_ocean_evap, tarea, dvidtt, temp_surface_ave, strtlty_m, snow_ai_m, TLON, evap, st_edges_ocean, fcondtopn_ai_m, average_DT, salt_surface_ave, yt_ocean, geol...
1deg_era5_iaf{ACCESS-OM2}{1 degree ACCESS-OM2 global model configuration with ERA5 interannual\\nforcing (1960-2019)}{ocean, seaIce}{1day, 1mon, fx}{sea_level_max, shear_m, xt_ocean, total_ocean_evap, tau_x_min, temp_yflux_adv, ty_trans_gm, tarea, temp_surface_ave, dvidtt, strtlty_m, ty_trans, snow_ai_m, TLON, evap, st_edges_ocean, fcondtopn_...
1deg_era5_ryf{ACCESS-OM2}{1 degree ACCESS-OM2 global model configuration with ERA5 RYF9091 repeat\\nyear forcing (May 1990 to Apr 1991)}{ocean, seaIce}{1day, 1mon, fx}{shear_m, xt_ocean, total_ocean_evap, tarea, dvidtt, temp_surface_ave, strtlty_m, snow_ai_m, TLON, evap, st_edges_ocean, fcondtopn_ai_m, average_DT, salt_surface_ave, yt_ocean, geolon_t, uvel_m, d...
1deg_jra55_iaf_era5comparison{ACCESS-OM2}{1 degree ACCESS-OM2 global model configuration with JRA55-do v1.4.0\\ninterannual forcing (1960-2019)}{ocean, seaIce}{1day, 1mon, fx}{sea_level_max, shear_m, xt_ocean, total_ocean_evap, temp_yflux_adv, ty_trans_gm, tarea, dvidtt, temp_surface_ave, strtlty_m, ty_trans, snow_ai_m, TLON, evap, st_edges_ocean, fcondtopn_ai_m, avera...
1deg_jra55_iaf_omip2_cycle1{ACCESS-OM2}{Cycle 1/6 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 interannual forcing (1958-2018)}{ocean, seaIce}{1day, 1yr, 1mon, fx}{ty_trans_gm, temp_surface_ave, usq, snow_ai_m, fcondtopn_ai_m, aiso_bih, geolon_t, patm_t, liceht, u, bottom_temp_max, flatn_ai_m, total_ocean_river_heat, ty_trans_int_z, surface_fe, total_ocean_...
1deg_jra55_iaf_omip2_cycle2{ACCESS-OM2}{Cycle 2/6 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 interannual forcing (1958-2018)}{ocean, seaIce}{1day, 1yr, 1mon, fx}{ty_trans_gm, temp_surface_ave, usq, snow_ai_m, fcondtopn_ai_m, aiso_bih, geolon_t, patm_t, liceht, u, bottom_temp_max, flatn_ai_m, total_ocean_river_heat, ty_trans_int_z, surface_fe, total_ocean_...
1deg_jra55_iaf_omip2_cycle3{ACCESS-OM2}{Cycle 3/6 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 interannual forcing (1958-2018)}{ocean, seaIce}{1day, 1yr, 1mon, fx}{ty_trans_gm, temp_surface_ave, usq, snow_ai_m, fcondtopn_ai_m, aiso_bih, geolon_t, patm_t, liceht, u, bottom_temp_max, flatn_ai_m, total_ocean_river_heat, ty_trans_int_z, surface_fe, total_ocean_...
1deg_jra55_iaf_omip2_cycle4{ACCESS-OM2}{Cycle 4/6 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 interannual forcing (1958-2018)}{ocean, seaIce}{1day, 1yr, 1mon, fx}{ty_trans_gm, temp_surface_ave, usq, snow_ai_m, fcondtopn_ai_m, aiso_bih, geolon_t, patm_t, liceht, u, bottom_temp_max, flatn_ai_m, total_ocean_river_heat, ty_trans_int_z, surface_fe, total_ocean_...
1deg_jra55_iaf_omip2_cycle5{ACCESS-OM2}{Cycle 5/6 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 interannual forcing (1958-2018)}{ocean, seaIce}{1day, 1yr, 1mon, fx}{ty_trans_gm, temp_surface_ave, usq, snow_ai_m, fcondtopn_ai_m, aiso_bih, geolon_t, patm_t, liceht, u, bottom_temp_max, flatn_ai_m, total_ocean_river_heat, ty_trans_int_z, surface_fe, total_ocean_...
1deg_jra55_iaf_omip2_cycle6{ACCESS-OM2}{Cycle 6/6 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 interannual forcing (1958-2018)}{ocean, seaIce}{1day, 1yr, 1mon, fx}{ty_trans_gm, temp_surface_ave, usq, snow_ai_m, fcondtopn_ai_m, aiso_bih, geolon_t, patm_t, liceht, u, bottom_temp_max, flatn_ai_m, total_ocean_river_heat, ty_trans_int_z, surface_fe, total_ocean_...
1deg_jra55_iaf_omip2spunup_cycle1{ACCESS-OM2}{Cycle 1/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}{ocean, seaIce}{1day, 1yr, 1mon, fx}{ty_trans_gm, temp_surface_ave, usq, snow_ai_m, fcondtopn_ai_m, aiso_bih, geolon_t, patm_t, liceht, u, flatn_ai_m, total_ocean_river_heat, ty_trans_int_z, total_ocean_heat, alidr_ai_m, salt_riverm...
1deg_jra55_iaf_omip2spunup_cycle10{ACCESS-OM2}{Cycle 10/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}{ocean, seaIce}{1yr, 1mon}{det, ANGLET, xt_ocean, tarea, fswup_m, temp_surface_ave, HTN, alidf_ai_m, uatm_m, alvdf_ai_m, TLON, scalar_axis, sea_level, st_edges_ocean, no3, total_mass_seawater, dxu, stf09, time, salt_surfac...
1deg_jra55_iaf_omip2spunup_cycle11{ACCESS-OM2}{Cycle 11/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}{ocean, seaIce}{1yr, 1mon}{det, ANGLET, xt_ocean, tarea, fswup_m, temp_surface_ave, HTN, alidf_ai_m, uatm_m, alvdf_ai_m, TLON, scalar_axis, sea_level, st_edges_ocean, no3, total_mass_seawater, dxu, stf09, time, salt_surfac...
1deg_jra55_iaf_omip2spunup_cycle12{ACCESS-OM2}{Cycle 12/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}{ocean, seaIce}{1yr, 1mon}{det, ANGLET, xt_ocean, tarea, fswup_m, temp_surface_ave, HTN, alidf_ai_m, uatm_m, alvdf_ai_m, TLON, scalar_axis, sea_level, st_edges_ocean, no3, total_mass_seawater, dxu, stf09, time, salt_surfac...
1deg_jra55_iaf_omip2spunup_cycle13{ACCESS-OM2}{Cycle 13/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}{ocean, seaIce}{1yr, 1mon}{det, ANGLET, xt_ocean, tarea, fswup_m, temp_surface_ave, HTN, alidf_ai_m, uatm_m, alvdf_ai_m, TLON, scalar_axis, sea_level, st_edges_ocean, no3, total_mass_seawater, dxu, stf09, time, salt_surfac...
1deg_jra55_iaf_omip2spunup_cycle14{ACCESS-OM2}{Cycle 14/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}{ocean, seaIce}{1yr, 1mon}{det, ANGLET, xt_ocean, tarea, fswup_m, temp_surface_ave, HTN, alidf_ai_m, uatm_m, alvdf_ai_m, TLON, scalar_axis, sea_level, st_edges_ocean, no3, total_mass_seawater, dxu, stf09, time, salt_surfac...
1deg_jra55_iaf_omip2spunup_cycle15{ACCESS-OM2}{Cycle 15/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}{ocean, seaIce}{1yr, 1mon}{det, ANGLET, xt_ocean, tarea, fswup_m, temp_surface_ave, HTN, alidf_ai_m, uatm_m, alvdf_ai_m, TLON, scalar_axis, sea_level, st_edges_ocean, no3, total_mass_seawater, dxu, stf09, time, salt_surfac...
1deg_jra55_iaf_omip2spunup_cycle16{ACCESS-OM2}{Cycle 16/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}{ocean, seaIce}{1yr, 1mon}{det, ANGLET, xt_ocean, tarea, fswup_m, temp_surface_ave, HTN, alidf_ai_m, uatm_m, alvdf_ai_m, TLON, scalar_axis, sea_level, st_edges_ocean, no3, total_mass_seawater, dxu, stf09, time, salt_surfac...
1deg_jra55_iaf_omip2spunup_cycle17{ACCESS-OM2}{Cycle 17/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}{ocean, seaIce}{1yr, 1mon}{det, ANGLET, xt_ocean, tarea, fswup_m, temp_surface_ave, HTN, alidf_ai_m, uatm_m, alvdf_ai_m, TLON, scalar_axis, sea_level, st_edges_ocean, no3, total_mass_seawater, dxu, stf09, time, salt_surfac...
1deg_jra55_iaf_omip2spunup_cycle18{ACCESS-OM2}{Cycle 18/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}{ocean, seaIce}{1yr, 1mon}{det, ANGLET, xt_ocean, tarea, fswup_m, temp_surface_ave, HTN, alidf_ai_m, uatm_m, alvdf_ai_m, TLON, scalar_axis, sea_level, st_edges_ocean, no3, total_mass_seawater, dxu, stf09, time, salt_surfac...
1deg_jra55_iaf_omip2spunup_cycle19{ACCESS-OM2}{Cycle 19/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}{ocean, seaIce}{1yr, 1mon}{det, ANGLET, xt_ocean, tarea, fswup_m, temp_surface_ave, HTN, alidf_ai_m, uatm_m, alvdf_ai_m, TLON, scalar_axis, sea_level, st_edges_ocean, no3, total_mass_seawater, dxu, stf09, time, salt_surfac...
1deg_jra55_iaf_omip2spunup_cycle2{ACCESS-OM2}{Cycle 2/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}{ocean, seaIce}{1day, 1yr, 1mon, fx}{ty_trans_gm, temp_surface_ave, usq, snow_ai_m, fcondtopn_ai_m, aiso_bih, geolon_t, patm_t, liceht, u, flatn_ai_m, total_ocean_river_heat, ty_trans_int_z, total_ocean_heat, alidr_ai_m, salt_riverm...
1deg_jra55_iaf_omip2spunup_cycle20{ACCESS-OM2}{Cycle 20/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}{ocean, seaIce}{1yr, 1mon}{det, ANGLET, xt_ocean, tarea, fswup_m, temp_surface_ave, HTN, alidf_ai_m, uatm_m, alvdf_ai_m, TLON, scalar_axis, sea_level, st_edges_ocean, no3, total_mass_seawater, dxu, stf09, time, salt_surfac...
1deg_jra55_iaf_omip2spunup_cycle21{ACCESS-OM2}{Cycle 21/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}{ocean, seaIce}{1yr, 1mon}{det, ANGLET, xt_ocean, tarea, fswup_m, temp_surface_ave, HTN, alidf_ai_m, uatm_m, alvdf_ai_m, TLON, scalar_axis, sea_level, st_edges_ocean, no3, total_mass_seawater, dxu, stf09, time, salt_surfac...
1deg_jra55_iaf_omip2spunup_cycle22{ACCESS-OM2}{Cycle 22/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}{ocean, seaIce}{1yr, 1mon}{det, ANGLET, xt_ocean, tarea, fswup_m, temp_surface_ave, HTN, alidf_ai_m, uatm_m, alvdf_ai_m, TLON, scalar_axis, sea_level, st_edges_ocean, no3, total_mass_seawater, dxu, stf09, time, salt_surfac...
1deg_jra55_iaf_omip2spunup_cycle23{ACCESS-OM2}{Cycle 23/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}{ocean, seaIce}{1yr, 1mon}{det, ANGLET, xt_ocean, tarea, fswup_m, temp_surface_ave, HTN, alidf_ai_m, uatm_m, alvdf_ai_m, TLON, scalar_axis, sea_level, st_edges_ocean, no3, total_mass_seawater, dxu, stf09, time, salt_surfac...
1deg_jra55_iaf_omip2spunup_cycle24{ACCESS-OM2}{Cycle 24/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}{ocean, seaIce}{1yr, 1mon}{det, ANGLET, xt_ocean, tarea, fswup_m, temp_surface_ave, HTN, alidf_ai_m, uatm_m, alvdf_ai_m, TLON, scalar_axis, sea_level, st_edges_ocean, no3, total_mass_seawater, dxu, stf09, time, salt_surfac...
1deg_jra55_iaf_omip2spunup_cycle25{ACCESS-OM2}{Cycle 25/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}{ocean, seaIce}{1yr, 1mon}{det, ANGLET, xt_ocean, tarea, fswup_m, temp_surface_ave, HTN, alidf_ai_m, uatm_m, alvdf_ai_m, TLON, scalar_axis, sea_level, st_edges_ocean, no3, total_mass_seawater, dxu, stf09, time, salt_surfac...
1deg_jra55_iaf_omip2spunup_cycle26{ACCESS-OM2}{Cycle 26/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}{ocean, seaIce}{1yr, 1mon}{det, ANGLET, xt_ocean, tarea, fswup_m, temp_surface_ave, HTN, alidf_ai_m, uatm_m, alvdf_ai_m, TLON, scalar_axis, sea_level, st_edges_ocean, no3, total_mass_seawater, dxu, stf09, time, salt_surfac...
1deg_jra55_iaf_omip2spunup_cycle27{ACCESS-OM2}{Cycle 27/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}{ocean, seaIce}{1yr, 1mon}{det, ANGLET, xt_ocean, tarea, fswup_m, temp_surface_ave, HTN, alidf_ai_m, uatm_m, alvdf_ai_m, TLON, scalar_axis, sea_level, st_edges_ocean, no3, total_mass_seawater, dxu, stf09, time, salt_surfac...
1deg_jra55_iaf_omip2spunup_cycle28{ACCESS-OM2}{Cycle 28/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}{ocean, seaIce}{1yr, 1mon}{det, ANGLET, xt_ocean, tarea, fswup_m, temp_surface_ave, HTN, alidf_ai_m, uatm_m, alvdf_ai_m, TLON, scalar_axis, sea_level, st_edges_ocean, no3, total_mass_seawater, dxu, stf09, time, salt_surfac...
1deg_jra55_iaf_omip2spunup_cycle29{ACCESS-OM2}{Cycle 29/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}{ocean, seaIce}{1yr, 1mon}{det, ANGLET, xt_ocean, tarea, fswup_m, temp_surface_ave, HTN, alidf_ai_m, uatm_m, alvdf_ai_m, TLON, scalar_axis, sea_level, st_edges_ocean, no3, total_mass_seawater, dxu, stf09, time, salt_surfac...
1deg_jra55_iaf_omip2spunup_cycle3{ACCESS-OM2}{Cycle 3/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}{ocean, seaIce}{1day, 1yr, 1mon, fx}{ty_trans_gm, temp_surface_ave, usq, snow_ai_m, fcondtopn_ai_m, aiso_bih, geolon_t, patm_t, liceht, u, flatn_ai_m, total_ocean_river_heat, ty_trans_int_z, total_ocean_heat, alidr_ai_m, salt_riverm...
1deg_jra55_iaf_omip2spunup_cycle30{ACCESS-OM2}{Cycle 30/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}{ocean, seaIce}{1yr, 1mon}{det, ANGLET, xt_ocean, tarea, fswup_m, temp_surface_ave, HTN, alidf_ai_m, uatm_m, alvdf_ai_m, TLON, scalar_axis, sea_level, st_edges_ocean, no3, total_mass_seawater, dxu, stf09, time, salt_surfac...
1deg_jra55_iaf_omip2spunup_cycle31{ACCESS-OM2}{Cycle 31/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}{ocean, seaIce}{1yr, 1mon}{det, ANGLET, xt_ocean, tarea, fswup_m, temp_surface_ave, HTN, alidf_ai_m, uatm_m, alvdf_ai_m, TLON, scalar_axis, sea_level, st_edges_ocean, no3, total_mass_seawater, dxu, stf09, time, salt_surfac...
1deg_jra55_iaf_omip2spunup_cycle32{ACCESS-OM2}{Cycle 32/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}{ocean, seaIce}{1yr, 1mon}{det, ANGLET, xt_ocean, tarea, fswup_m, temp_surface_ave, HTN, alidf_ai_m, uatm_m, alvdf_ai_m, TLON, scalar_axis, sea_level, st_edges_ocean, no3, total_mass_seawater, dxu, stf09, time, salt_surfac...
1deg_jra55_iaf_omip2spunup_cycle33{ACCESS-OM2}{Cycle 33/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}{ocean, seaIce}{1yr, 1mon}{det, ANGLET, xt_ocean, tarea, fswup_m, temp_surface_ave, HTN, alidf_ai_m, uatm_m, alvdf_ai_m, TLON, scalar_axis, sea_level, st_edges_ocean, no3, total_mass_seawater, dxu, stf09, time, salt_surfac...
1deg_jra55_iaf_omip2spunup_cycle34{ACCESS-OM2}{Cycle 34/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}{ocean, seaIce}{1day, 1yr, 1mon, fx}{xt_ocean, total_ocean_evap, ty_trans_gm, temp_yflux_adv, tarea, temp_surface_ave, mld_min, usq, ty_trans, temp_tendency, temp_vdiffuse_diff_cbt, TLON, evap, st_edges_ocean, grid_xu_ocean, aiso_bi...
1deg_jra55_iaf_omip2spunup_cycle35{ACCESS-OM2}{Cycle 35/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}{ocean, seaIce}{1day, 1yr, 1mon, fx}{xt_ocean, total_ocean_evap, ty_trans_gm, temp_yflux_adv, tarea, temp_surface_ave, mld_min, usq, ty_trans, temp_tendency, temp_vdiffuse_diff_cbt, TLON, evap, st_edges_ocean, grid_xu_ocean, aiso_bi...
1deg_jra55_iaf_omip2spunup_cycle36{ACCESS-OM2}{Cycle 36/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}{ocean, seaIce}{1day, 1yr, 1mon, fx}{xt_ocean, total_ocean_evap, ty_trans_gm, temp_yflux_adv, tarea, temp_surface_ave, mld_min, usq, ty_trans, temp_tendency, temp_vdiffuse_diff_cbt, TLON, evap, st_edges_ocean, grid_xu_ocean, aiso_bi...
1deg_jra55_iaf_omip2spunup_cycle37{ACCESS-OM2}{Cycle 37/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}{ocean, seaIce}{1day, 1yr, 1mon, fx}{xt_ocean, total_ocean_evap, ty_trans_gm, temp_yflux_adv, tarea, temp_surface_ave, mld_min, usq, ty_trans, temp_tendency, temp_vdiffuse_diff_cbt, TLON, evap, st_edges_ocean, grid_xu_ocean, aiso_bi...
1deg_jra55_iaf_omip2spunup_cycle38{ACCESS-OM2}{Cycle 38/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}{ocean, seaIce}{1day, 1yr, 1mon, fx}{xt_ocean, total_ocean_evap, ty_trans_gm, temp_yflux_adv, tarea, temp_surface_ave, mld_min, usq, ty_trans, temp_tendency, temp_vdiffuse_diff_cbt, TLON, evap, st_edges_ocean, grid_xu_ocean, aiso_bi...
1deg_jra55_iaf_omip2spunup_cycle39{ACCESS-OM2}{Cycle 39/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}{ocean, seaIce}{1day, 1yr, 1mon, fx}{xt_ocean, total_ocean_evap, ty_trans_gm, temp_yflux_adv, tarea, temp_surface_ave, mld_min, usq, ty_trans, temp_tendency, temp_vdiffuse_diff_cbt, TLON, evap, st_edges_ocean, grid_xu_ocean, aiso_bi...
1deg_jra55_iaf_omip2spunup_cycle4{ACCESS-OM2}{Cycle 4/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}{ocean, seaIce}{1day, 1yr, 1mon, fx}{ty_trans_gm, temp_surface_ave, usq, snow_ai_m, fcondtopn_ai_m, aiso_bih, geolon_t, patm_t, liceht, u, flatn_ai_m, total_ocean_river_heat, ty_trans_int_z, total_ocean_heat, alidr_ai_m, salt_riverm...
1deg_jra55_iaf_omip2spunup_cycle40{ACCESS-OM2}{Cycle 40/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}{ocean, seaIce}{1yr, 1mon}{det, ANGLET, xt_ocean, tarea, fswup_m, temp_surface_ave, HTN, alidf_ai_m, uatm_m, alvdf_ai_m, TLON, scalar_axis, sea_level, st_edges_ocean, no3, total_mass_seawater, dxu, stf09, time, salt_surfac...
1deg_jra55_iaf_omip2spunup_cycle41{ACCESS-OM2}{Cycle 41/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}{ocean, seaIce}{1yr, 1mon}{det, ANGLET, xt_ocean, tarea, fswup_m, temp_surface_ave, HTN, alidf_ai_m, uatm_m, alvdf_ai_m, TLON, scalar_axis, sea_level, st_edges_ocean, no3, total_mass_seawater, dxu, stf09, time, salt_surfac...
1deg_jra55_iaf_omip2spunup_cycle42{ACCESS-OM2}{Cycle 42/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}{ocean, seaIce}{1yr, 1mon}{det, ANGLET, xt_ocean, tarea, fswup_m, temp_surface_ave, HTN, alidf_ai_m, uatm_m, alvdf_ai_m, TLON, scalar_axis, sea_level, st_edges_ocean, no3, total_mass_seawater, dxu, stf09, time, salt_surfac...
1deg_jra55_iaf_omip2spunup_cycle43{ACCESS-OM2}{Cycle 43/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}{ocean, seaIce}{1yr, 1mon}{det, ANGLET, xt_ocean, tarea, fswup_m, temp_surface_ave, HTN, alidf_ai_m, uatm_m, alvdf_ai_m, TLON, scalar_axis, sea_level, st_edges_ocean, no3, total_mass_seawater, dxu, stf09, time, salt_surfac...
1deg_jra55_iaf_omip2spunup_cycle44{ACCESS-OM2}{Cycle 44/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}{ocean, seaIce}{1yr, 1mon}{det, ANGLET, xt_ocean, tarea, fswup_m, temp_surface_ave, HTN, alidf_ai_m, uatm_m, alvdf_ai_m, TLON, scalar_axis, sea_level, st_edges_ocean, no3, total_mass_seawater, dxu, stf09, time, salt_surfac...
1deg_jra55_iaf_omip2spunup_cycle45{ACCESS-OM2}{Cycle 45/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}{ocean, seaIce}{1yr, 1mon}{det, ANGLET, xt_ocean, tarea, fswup_m, temp_surface_ave, HTN, alidf_ai_m, uatm_m, alvdf_ai_m, TLON, scalar_axis, sea_level, st_edges_ocean, no3, total_mass_seawater, dxu, stf09, time, salt_surfac...
1deg_jra55_iaf_omip2spunup_cycle5{ACCESS-OM2}{Cycle 5/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}{ocean, seaIce}{1day, 1yr, 1mon, fx}{xt_ocean, total_ocean_evap, ty_trans_gm, temp_yflux_adv, tarea, temp_surface_ave, mld_min, usq, ty_trans, temp_tendency, temp_vdiffuse_diff_cbt, TLON, evap, st_edges_ocean, grid_xu_ocean, aiso_bi...
1deg_jra55_iaf_omip2spunup_cycle6{ACCESS-OM2}{Cycle 6/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}{ocean, seaIce}{1day, 1yr, 1mon, fx}{xt_ocean, total_ocean_evap, ty_trans_gm, temp_yflux_adv, tarea, temp_surface_ave, mld_min, usq, ty_trans, temp_tendency, temp_vdiffuse_diff_cbt, TLON, evap, st_edges_ocean, grid_xu_ocean, aiso_bi...
1deg_jra55_iaf_omip2spunup_cycle7{ACCESS-OM2}{Cycle 7/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}{ocean, seaIce}{1day, 1yr, 1mon}{shear_m, xt_ocean, tarea, dvidtt, temp_surface_ave, strtlty_m, snow_ai_m, TLON, st_edges_ocean, fcondtopn_ai_m, salt_surface_ave, average_DT, yt_ocean, uvel_m, divu_m, strcorx_m, st_ocean, o2, vv...
1deg_jra55_iaf_omip2spunup_cycle8{ACCESS-OM2}{Cycle 8/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}{ocean, seaIce}{1yr, 1mon}{det, ANGLET, xt_ocean, tarea, fswup_m, temp_surface_ave, HTN, alidf_ai_m, uatm_m, alvdf_ai_m, TLON, scalar_axis, sea_level, st_edges_ocean, no3, total_mass_seawater, dxu, stf09, time, salt_surfac...
1deg_jra55_iaf_omip2spunup_cycle9{ACCESS-OM2}{Cycle 9/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}{ocean, seaIce}{1yr, 1mon}{det, ANGLET, xt_ocean, tarea, fswup_m, temp_surface_ave, HTN, alidf_ai_m, uatm_m, alvdf_ai_m, TLON, scalar_axis, sea_level, st_edges_ocean, no3, total_mass_seawater, dxu, stf09, time, salt_surfac...
1deg_jra55_ryf9091_gadi{ACCESS-OM2}{1 degree ACCESS-OM2 physics-only global configuration with JRA55-do v1.3 RYF9091 repeat year forcing (May 1990 to Apr 1991)}{ocean, seaIce}{1yr, 1mon, fx}{neutral_gm_on_nrho_temp, shear_m, xt_ocean, total_ocean_evap, temp_yflux_adv, total_ocean_calving, ty_trans_gm, tarea, temp_surface_ave, temp_tendency_on_nrho, strtlty_m, ty_trans, sw_heat_on_nrh...
1deg_jra55v14_ryf{ACCESS-OM2}{1 degree ACCESS-OM2 global model configuration with JRA55-do v1.4.0 RYF9091\\nrepeat year forcing (May 1990 to Apr 1991)}{ocean, seaIce}{1day, 1mon, fx}{shear_m, xt_ocean, total_ocean_evap, tarea, dvidtt, temp_surface_ave, strtlty_m, snow_ai_m, TLON, evap, st_edges_ocean, fcondtopn_ai_m, average_DT, salt_surface_ave, yt_ocean, geolon_t, uvel_m, d...
HI_CN_05{ACCESS-ESM1-5}{Historical run using same configuration as CMIP6 ACCESS-ESM1.5 historical r1i1p1f1, but with phosphorus limitation disabled within CASA-CNP}{ocean, seaIce, atmos}{6hr, 1yr, 3hr, 1day, 1mon}{rossby_radius, ty_trans_gm, temp_surface_ave, pseudo_level_0, phynos_raw, evap_ai, fld_s30i208, fsurf_ai, dissicnatos_raw, diff_cbt_kpp_t, geolon_t, fld_s03i868, buoy_freq_ave_submeso, pbot0, pat...
HI_C_05_r1{ACCESS-ESM1-5}{Historical run using same configuration as CMIP6 ACCESS-ESM1.5 historical r1i1p1f1, but with nitrogen and phosphorus limitations disabled within CASA-CNP}{ocean, seaIce, atmos}{1day, 1yr, 1mon}{rossby_radius, ty_trans_gm, temp_surface_ave, pseudo_level_0, phynos_raw, evap_ai, fld_s30i208, fsurf_ai, dissicnatos_raw, diff_cbt_kpp_t, geolon_t, fld_s03i868, buoy_freq_ave_submeso, pbot0, pat...
HI_nl_C_05_r1{ACCESS-ESM1-5}{Historical run using same configuration as CMIP6 ACCESS-ESM1.5 historical r1i1p1f1, but with nitrogen and phosphorus limitations disabled within CASA-CNP, and land-use change disabled}{ocean, seaIce, atmos}{1day, 1yr, 1mon}{rossby_radius, ty_trans_gm, temp_surface_ave, pseudo_level_0, phynos_raw, evap_ai, fld_s30i208, fsurf_ai, dissicnatos_raw, diff_cbt_kpp_t, geolon_t, fld_s03i868, buoy_freq_ave_submeso, pbot0, pat...
HI_noluc_CN_05{ACCESS-ESM1-5}{Historical run using same configuration as CMIP6 ACCESS-ESM1.5 historical r1i1p1f1, but with phosphorus limitation disabled within CASA-CNP, and land-use change disabled}{ocean, seaIce, atmos}{6hr, 1yr, 3hr, 1day, 1mon}{rossby_radius, ty_trans_gm, temp_surface_ave, pseudo_level_0, phynos_raw, evap_ai, fld_s30i208, fsurf_ai, dissicnatos_raw, diff_cbt_kpp_t, geolon_t, fld_s03i868, buoy_freq_ave_submeso, pbot0, pat...
OM4_025.JRA_RYF{MOM6, SIS2}{0.25 degree GFDL-OM4 (MOM6+SIS2) global model configuration under 1990-1991 JRA55-do repeat year forcing.}{ocean, seaIce}{1day, 1yr, 1mon, fx}{wfo, dyCv, heat_content_cond, vo, xTe, geolat, thetao, wet_u, sosga, prsn, wet_c, average_DT, xq, yq, areacello, agessc, hfibthermds, yTe, areacello_cu, so_xyave, zosmin, tosmin, heat_content_mas...
PI_GWL_B2035{ACCESS-ESM1-5}{Climate stabilization run at different global warming levels with zero C02 emissions and pre-industrial aerosols, starting in 2035 }{ocean, seaIce, atmos}{1day, 1yr, 1mon}{rossby_radius, ty_trans_gm, temp_surface_ave, pseudo_level_0, phynos_raw, evap_ai, fld_s30i208, fsurf_ai, dissicnatos_raw, diff_cbt_kpp_t, geolon_t, fld_s03i868, buoy_freq_ave_submeso, pbot0, pat...
PI_GWL_B2040{ACCESS-ESM1-5}{Climate stabilization run at different global warming levels with zero C02 emissions and pre-industrial aerosols, starting in 2040}{ocean, seaIce, atmos}{1day, 1yr, 1mon}{rossby_radius, ty_trans_gm, temp_surface_ave, pseudo_level_0, phynos_raw, evap_ai, fld_s30i208, fsurf_ai, dissicnatos_raw, diff_cbt_kpp_t, geolon_t, fld_s03i868, buoy_freq_ave_submeso, pbot0, pat...
PI_GWL_B2045{ACCESS-ESM1-5}{Climate stabilization run at different global warming levels with zero C02 emissions and pre-industrial aerosols, starting in 2045}{ocean, seaIce, atmos}{1day, 1yr, 1mon}{rossby_radius, ty_trans_gm, temp_surface_ave, pseudo_level_0, phynos_raw, evap_ai, fld_s30i208, fsurf_ai, dissicnatos_raw, diff_cbt_kpp_t, geolon_t, fld_s03i868, buoy_freq_ave_submeso, pbot0, pat...
PI_GWL_B2050{ACCESS-ESM1-5}{Climate stabilization run at different global warming levels with zero C02 emissions and pre-industrial aerosols, starting in 2050}{ocean, seaIce, atmos}{1day, 1yr, 1mon}{rossby_radius, ty_trans_gm, temp_surface_ave, pseudo_level_0, phynos_raw, evap_ai, fld_s30i208, fsurf_ai, dissicnatos_raw, diff_cbt_kpp_t, geolon_t, fld_s03i868, buoy_freq_ave_submeso, pbot0, pat...
PI_GWL_B2055{ACCESS-ESM1-5}{Climate stabilization run at different global warming levels with zero C02 emissions and pre-industrial aerosols, starting in 2055}{ocean, seaIce, atmos}{1day, 1yr, 1mon}{rossby_radius, ty_trans_gm, temp_surface_ave, pseudo_level_0, phynos_raw, evap_ai, fld_s30i208, fsurf_ai, dissicnatos_raw, diff_cbt_kpp_t, geolon_t, fld_s03i868, buoy_freq_ave_submeso, pbot0, pat...
PI_GWL_B2060{ACCESS-ESM1-5}{Climate stabilization run at different global warming levels with zero C02 emissions and pre-industrial aerosols, starting in 2060}{ocean, seaIce, atmos}{1day, 1yr, 1mon}{rossby_radius, ty_trans_gm, temp_surface_ave, pseudo_level_0, phynos_raw, evap_ai, fld_s30i208, fsurf_ai, dissicnatos_raw, diff_cbt_kpp_t, geolon_t, fld_s03i868, buoy_freq_ave_submeso, pbot0, pat...
WOA-13{World Ocean Atlas 2013}{2013 World Ocean Atlas (WOA-13), regridded to various model grids.}{ocean}{fx}{time, GRID_Y_T, GRID_X_T, salt, lon, potential_temperature, lat, ZT, practical_salinity, temp}
WOA23{World Ocean Atlas 2023}{World Ocean Atlas 2023}{ocean}{fx}{n_gp, i_sd, n_oa, i_se, s_sdo, n_ma, s_se, o_ma, n_mn, o_sea, n_se, p_oa, i_mn, i_gp, p_dd, s_sea, o_dd, time, o_mn, t_sd, n_dd, o_an, p_mn, t_oa, n_sd, s_oa, s_an, i_an, s_dd, t_an, i_sea, i_dd,...
barpa_py18{BARPA-R1-NN, BARPA-C, BARPA-R}{Bureau of Meteorology Atmospheric Regional Projections for Australia (BARPA)}{none}{6hr, subhr, fx, 3hr, 1day, 1hr, 1mon}{ua1500m, wap800, hus950, zg250, wa20, ta150m, ua925, va400, tasmin, rsds, snd, hus50, FZL, ta800, hus70, snm, wsgsmax, ta200m, ua150m, ta70, vasmax, qfluxu, twpse, wa700, sfcWind, mrro, prsn, DCP...
bx944{ACCESS-CM2}{Standard CMIP6 historical simulation, control experiment for by473 pacemaker experiment (948d8676-2c56-49db-8ea1-b80572b074c8)}{ocean, seaIce, atmos}{1day, 1mon}{rossby_radius, alvdr_ai, ty_trans_gm, temp_surface_ave, fld_s34i115, pseudo_level_0, siv, fld_s30i296, fld_s30i208, fsurf_ai, diff_cbt_kpp_t, fld_s00i253, geolon_t, buoy_freq_ave_submeso, pbot0, ...
by473{ACCESS-CM2}{Pacemaker variation of CMIP6 historical simulation, Topical Atlantic region replaced with fixed SSTs from observations}{ocean, seaIce, atmos}{1day, 1mon}{rossby_radius, alvdr_ai, ty_trans_gm, temp_surface_ave, fld_s34i115, pseudo_level_0, siv, fld_s30i296, fld_s30i208, fsurf_ai, diff_cbt_kpp_t, fld_s00i253, geolon_t, buoy_freq_ave_submeso, pbot0, ...
by578{ACCESS-CM2}{Pacemaker variation of CMIP6 ssp245 simulation with Tropical Atlantic region replaced with fixed SSTs from observations}{ocean, seaIce, atmos}{1day, 1mon}{rossby_radius, alvdr_ai, ty_trans_gm, temp_surface_ave, fld_s34i115, pseudo_level_0, siv, fld_s30i296, fld_s30i208, fsurf_ai, diff_cbt_kpp_t, fld_s00i253, geolon_t, buoy_freq_ave_submeso, pbot0, ...
by647{ACCESS-CM2}{Standard CMIP6 ssp245 simulation, control experiment for by578 pacemaker experiment (1fd9e682-d393-4b17-a9cd-934c3a48a1f8)}{ocean, seaIce, atmos}{1day, 1mon}{rossby_radius, alvdr_ai, ty_trans_gm, temp_surface_ave, fld_s34i115, pseudo_level_0, siv, fld_s30i296, fld_s30i208, fsurf_ai, diff_cbt_kpp_t, fld_s00i253, geolon_t, buoy_freq_ave_submeso, pbot0, ...
bz687{ACCESS-CM2}{ACCESS-CM2 CMIP6 with 1 degree ocean. Present day atmospheric forcing with 1985-2014 mean GHG, aerosol emissions etc.}{ocean, seaIce, atmos}{1day, 1mon}{rossby_radius, alvdr_ai, ty_trans_gm, temp_surface_ave, fld_s34i115, pseudo_level_0, siv, fld_s30i296, fld_s30i208, fsurf_ai, diff_cbt_kpp_t, fld_s00i253, geolon_t, buoy_freq_ave_submeso, pbot0, ...
cj877{ACCESS-CM2}{ACCESS-CM2 with COSIMA OM2 0.25 degree ocean configuration. Present day atmospheric forcing with 1985-2014 mean GHG, aerosol emissions etc.}{ocean, seaIce, atmos}{1day, 1mon, fx}{alvdr_ai, ty_trans_gm, temp_surface_ave, fld_s34i115, pseudo_level_0, siv, fld_s30i296, fld_s30i208, fsurf_ai, fld_s00i253, geolon_t, fld_s02i301, u, bottom_temp_max, fld_s03i807, sitemptop, fld_...
cmip5_al33{HadREM3-GA7-05, CanRCM4, GFDL-HIRAM-C180, RegCM4-7, HadGEM2-ES, CNRM-CM5-2, CCSM4, MIROC-ESM, FGOALS-s2, RACMO22T, GFDL-ESM2M, CFSv2-2011, CCLM4-8-17, CCLM5-0-6, HIRHAM5, IPSL-CM5A-LR, CRCM5, IPS...{Replicated CMIP5-era datasets catalogued by NCI}{land, landIce, aerosol, ocean, atmos, seaIce, none, ocnBgchem}{6hr, 1yr, subhr, fx, 3hr, 1day, 1mon}{mc, sblsi, od870aer, sootsn, vo, dryso2, msftmrhoz, drydms, sfcWind, prsn, ph, intpdiat, tnsclihencl, va200, tnsclimr, wetnh4, sic, emiso2, cldncl, rldcs, clmcalipso, rlutcs, dpo2, hurs, fsfe, hf...
cmip5_rr3{ACCESS1-3, UNSW-WRF360J, UNSW-WRF360K, CSIRO-CCAM, CSIRO-Mk3L-1-2, CSIRO-CCAM-2008, UQ-DES-CCAM, ACCESS1-0, CSIRO-Mk3-6-0, UNSW-WRF360L, BOM-SDMa-NRM, CSIRO-CCAM-1704}{Australian CMIP5-era datasets catalogued by NCI}{land, landIce, aerosol, ocean, atmos, seaIce, none}{6hr, fx, 3mon, 3hr, 1day, 1hr, 1mon}{concdms, hfxba, mc, wfo, od870aer, sconcdust, dryso2, tasmin, rsds, snd, vo, abs550aer, snm, wap, clw, thetao, sfcWind, prsn, mrro, rsdscs, rsus, ta, wmosq, hfbasinba, tsl, va200, areacello, mrso...
cmip6_fs38{ACCESS-OM2, ACCESS-ESM1-5, ACCESS-OM2-025, ACCESS-CM2}{Australian CMIP6-era datasets catalogued by NCI}{land, landIce, aerosol, ocean, atmos, seaIce, ocnBgchem}{6hr, 1yr, fx, 3hr, 1day, 1mon}{fNleach, mc, vo, intuaw, siv, sfcWind, prsn, rlutcs, nLand, hurs, sivols, sitemptop, siflfwbot, hfrainds, sidmasstrany, vegFrac, sftof, hfbasin, sistryubot, fgco2nat, evs, rlds, mrros, cropFracC3...
cmip6_oi10{EC-Earth3, ECMWF-IFS-HR, ACCESS-OM2, GFDL-AM4, E3SM-1-1-ECA, E3SM-2-0-NARRM, EC-Earth3P-HR, EC-Earth3-Veg-LR, GISS-E2-1-G, BCC-CSM2-HR, HiRAM-SIT-HR, NorESM1-F, NorESM2-LM, ECMWF-IFS-MR, CAS-ESM2...{Replicated CMIP6-era datasets catalogued by NCI}{land, ocean, aerosol, landIce, atmosChem, atmos, seaIce, ocnBgchem}{6hr, 1yr, subhr, fx, 3hr, 1day, 1hr, 1mon}{fNleach, wsgmax10m, vo, intuaw, siv, bldep, sfcWind, prsn, raLut, pastureFracC3, ph, rlutcs, nLand, hurs, sitemptop, nppLut, siflfwbot, lossch4, sidmasstrany, hfrainds, vegFrac, sftof, hfbasin, a...
cordex_ig45{CNRM-CM6-1-HR, ERA5, MRI-ESM2-0, ACCESS-ESM1-5, CMCC-ESM2, ACCESS-CM2, GISS-E2-1-G, EC-Earth3, MPI-ESM1-2-LR, NorESM2-MM, FGOALS-g3, GFDL-ESM4}{20km regional projections for CORDEX-CMIP6 from the Queensland Future Climate Science Program}{none}{1day, 1hr, 1mon, fx}{zg250, ua925, va400, tasmin, rsds, snd, soilt, snm, sfcWind, mrro, prsn, rsus, va200, mrso, cll, hurs, prhmax, zg400, ta500, rlus, pr, zg700, va700, ua1000, va850, prw, ta400, clivi, ta200, vas, ...
era5_rt52{era5-preliminary, era5, era5-derived, era5-1, era5t}{ERA5 fifth generation model reanalysis of global climate from ECMWF}{none}{1day, 1hr, 1mon}{smlt, vipie, mbld, viked, cc, vo, cin, tcwv, viman, msqs, vitoe, tvh, bfi, vigd, mntss, vipile, mlspr, Wind, vimat, mvimd, ltlt, mer, vit, vithed, 100u, tsr, u, blh, vitoed, cvl, dwi, cp, ssr, t,...
esmvaltool-obs-ct11{ESACCI-SOILMOISTURE, GPCP-SG, CMAP, GPCC, GLODAP, CERES-EBAF, OSI-450-sh, ESACCI-OZONE, JRA-55, GHCN, ESACCI-LST, Duveiller2018, Kadow2020, NOAAGlobalTemp, SSMI-MERIS, MODIS-Level, ESACCI-CLOUD, ...{Replicated observational datasets for ESMValTool CT11}{land, landIce, ocean, aerosol, atmos, none}{1day, 1yr, 1mon, fx}{od870aer, tasmin, rsds, taNobs, abs550aer, wap, clw, thetao, husNobs, sfcWind, prsn, ph, rsdscs, ta, rsus, cltStddev, albisccp, areacello, o2, taStderr, sic, clmcalipso, prStderr, rlutcs, hus, hu...
narclim2_zz63{UKESM1-0-LL, ACCESS-ESM1-5, NorESM2-MM, EC-Earth3-Veg, MPI-ESM1-2-HR}{NARCliM2.0 climate pojections, downscaled from ACCESS-ESM1-5 over Australasia at ~18km resolution.}{atmos}{1yr, fx, 3hr, 1day, 1hr, 1mon}{zg250, TX90p, tasmin, rsds, CWD, snd, hus70, snm, HWA, ta70, wa700, sfcWind, mrro, prsn, rsdscs, rsus, WSDI, tsl, SPI03, mrso, SPI12, rlutcs, wa200, hurs, prhmax, CAPEmax, wa400, zg400, TN90p, ta...
panant-0025-zstar-ACCESSyr2{MOM6, SIS2}{0.025 degree (MOM6+SIS2) Pan-Antarctic regional model configuration under 1990-1991 JRA55-do repeat year forcing.}{ocean, seaIce}{1day, 1mon, fx}{precip, wfo, dyCv, xTe, vo, rhopot0, geolat, thetao, wet_u, wet_c, average_DT, xq, yq, xB, areacello, agessc, yTe, areacello_cu, salt_flux, lrunoff, yh, z_l, nv, Coriolis, average_T1, geolon_u, h...
panant-005-zstar-ACCESSyr2{MOM6, SIS2}{0.05 degree (MOM6+SIS2) Pan-Antarctic regional model configuration under 1990-1991 JRA55-do repeat year forcing.}{ocean, seaIce}{1day, 1mon, fx}{precip, wfo, dyCv, xTe, vo, rhopot0, geolat, thetao, wet_u, wet_c, average_DT, xq, yq, xB, areacello, agessc, yTe, areacello_cu, salt_flux, lrunoff, yh, z_l, nv, Coriolis, average_T1, geolon_u, h...
panant-01-hycom1-v13{MOM6, SIS2}{0.1 degree (MOM6+SIS2) Pan-Antarctic regional model configuration under 1990-1991 JRA55-do repeat year forcing with a hybrid (HYCOM1) vertical coordinate..}{ocean, seaIce}{1day, 1mon, fx}{geolon, geolon_v, mlotst, wfo, geolon_u, hmo, hfds, rhopot2, dyCv, xTe, vo, so, geolat_v, dyCu, zos, geolat, areacello_cv, speed, thetao, wet_u, time, geolon_c, wet_c, average_DT, xq, umo, geolat...
panant-01-zstar-ACCESSyr2{MOM6, SIS2}{0.1 degree (MOM6+SIS2) Pan-Antarctic regional model configuration under 1990-1991 JRA55-do repeat year forcing.}{ocean, seaIce}{1day, 1mon, fx}{precip, u_BT_accel, wfo, dyCv, xTe, vo, Kd_salt, rhopot0, geolat, thetao, intz_rvxu_2d, wet_u, gKEu, wet_c, average_DT, xq, yq, xB, areacello, agessc, yTe, intz_gKEv_2d, areacello_cu, salt_flux, ...
panant-01-zstar-v13{MOM6, SIS2}{0.1 degree (MOM6+SIS2) Pan-Antarctic regional model configuration under 1990-1991 JRA55-do repeat year forcing.}{ocean, seaIce}{1day, 1mon, fx}{wfo, hmo, dyCv, xTe, vo, geolat, thetao, intz_rvxu_2d, wet_u, wet_c, average_DT, xq, yq, areacello, yTe, intz_gKEv_2d, areacello_cu, intz_CAu_2d, intz_diffv_2d, yh, z_l, nv, Coriolis, taux_bot, i...
rcm_ccam_hq89{ERA5, CNRM-ESM2-1, ACCESS-ESM1-5, CMCC-ESM2, ACCESS-CM2, EC-Earth3, NorESM2-MM, CESM2}{CMIP6 Regional Climate Model Data from CCAM for Australian Climate Service}{none}{6hr, fx, 1day, 1hr, 1mon}{zg250, ua925, va400, tasmin, rsds, snd, ua150m, wsgsmax, snm, wa700, sfcWind, mrro, prsn, rsus, tsl, va200, mrso, cll, wa200, hurs, prhmax, va200m, wa400, zg400, ta500, rlus, va250m, wa250, pr, v...
shackleton_v4_jk72{ROMSIceShelf}{Shackleton/Denman Ice Shelf-ocean model application built with ROMSIceShelf}{seaIce}{5day}{Zos, M3nudg, Hsbl, ocean_time, nAVG, theta_s, lat_u, y_v, lon_v, h, Akv_bak, svstr, u, el, dtfast, LnudgeM3CLM, zeta, dt, mask_v, sustr, Lm3CLM, Tobc_out, Cs_w, LtracerSponge, dstart, x_v, Tb, M2...
\n", "
" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "catalog" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Each line in the table above references a directory full of netCDF files with model output.\n", "\n", "**The COSIMA cookbook philosophy is that you don't need to know about the directories in which these files are stored to be able to interrogate them or to load the data**.\n", "\n", "However, with thousands of experiments in the datastore, the above table isn't so easy to understand. Luckily, we can refine our search to limit the experiments we see. For example, if we already know the name of the experiment we are after, we can specify it via:" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/html": [ "

Intake dataframe catalog with 1 source(s) across 4 rows:

\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
modeldescriptionrealmfrequencyvariable
name
025deg_jra55_ryf9091_gadi{ACCESS-OM2}{0.25 degree ACCESS-OM2 physics-only global configuration with JRA55-do v1.3 RYF9091 repeat year forcing (May 1990 to Apr 1991)}{ocean, seaIce}{1yr, 1mon, fx}{shear_m, xt_ocean, total_ocean_evap, tarea, total_ocean_calving, temp_surface_ave, strtlty_m, ty_trans, snow_ai_m, TLON, st_edges_ocean, fcondtopn_ai_m, average_DT, salt_surface_ave, yt_ocean, ge...
\n", "
" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "catalog.search(name='025deg_jra55_ryf9091_gadi')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This is more useful, because it focusses just on the experiment I'm interested in -- and provides a list of all the variables available that experiment. It also gives a short description which is a nice way to explore which experiments might be available.\n", "\n", "However, we may notice that the list of variables in the right-most column here is too long for this format. There are other ways to get hold of a list of all of these variables, such as:" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "['shear_m', 'xt_ocean', 'total_ocean_evap', 'tarea', 'total_ocean_calving', 'temp_surface_ave', 'strtlty_m', 'ty_trans', 'snow_ai_m', 'TLON', 'st_edges_ocean', 'fcondtopn_ai_m', 'average_DT', 'salt_surface_ave', 'yt_ocean', 'geolon_t', 'uvel_m', 'divu_m', 'dzt', 'strcorx_m', 'total_ocean_pme_river', 'total_ocean_calving_melt_heat', 'st_ocean', 'vvel_m', 'xu_ocean', 'u', 'fsurfn_ai_m', 'Tair_m', 'frazil_m', 'total_ocean_runoff', 'albsni_m', 'rain_ai_m', 'flatn_ai_m', 'total_ocean_river_heat', 'ty_trans_int_z', 'fmelttn_ai_m', 'total_ocean_heat', 'alidr_ai_m', 'nv', 'total_ocean_salt', 'strintx_m', 'hs_m', 'strairy_m', 'average_T1', 'grid_xt_ocean', 'sea_levelsq', 'sw_edges_ocean', 'time_bounds', 'fsens_ai_m', 'snoice_m', 'ANGLET', 'evap_ai_m', 'kmt', 'sfc_salt_flux_ice', 'scalar_axis', 'flat_ai_m', 'pot_temp', 'ke_tot', 'salt', 'age_global', 'sfc_salt_flux_coupler', 'trsig_m', 'v', 'geolat_c', 'total_ocean_lw_heat', 'fresh_ai_m', 'fswthru_ai_m', 'fhocn_ai_m', 'NCAT', 'frazil_3d_int_z', 'total_ocean_swflx', 'diff_cbt_t', 'dyt', 'mlt_onset_m', 'eta_t', 'mld', 'total_ocean_melt', 'total_ocean_fprec', 'HTE', 'aicen_m', 'fsalt_ai_m', 'daidtd_m', 'potrho_edges', 'fswabs_ai_m', 'frz_onset_m', 'dyu', 'hu', 'frzmlt_m', 'uarea', 'total_ocean_hflux_coupler', 'uocn_m', 'strairx_m', 'total_ocean_evap_heat', 'albice_m', 'alidf_ai_m', 'potrho', 'total_ocean_calving_heat', 'HTN', 'alvdf_ai_m', 'uatm_m', 'dvidtt_m', 'sea_level', 'flwdn_m', 'dxu', 'geolat_t', 'time', 'hi_m', 'pe_tot', 'total_ocean_hflux_evap', 'area_u', 'dxt', 'blkmask', 'strtltx_m', 'strinty_m', 'meltl_m', 'total_ocean_runoff_heat', 'eta_global', 'average_T2', 'meltb_m', 'yu_ocean', 'vatm_m', 'Tsfc_m', 'total_ocean_sens_heat', 'total_ocean_sfc_salt_flux_coupler', 'pot_rho_0', 'ULAT', 'sst_m', 'total_ocean_fprec_melt_heat', 'meltt_m', 'ht', 'strength_m', 'melts_m', 'temp', 'wt', 'salt_global_ave', 'aice_m', 'ice_present_m', 'ty_trans_rho', 'strocnx_m', 'fswup_m', 'tx_trans', 'flwup_ai_m', 'sfc_salt_flux_restore', 'geolon_c', 'TLAT', 'total_ocean_hflux_prec', 'sss_m', 'net_sfc_heating', 'ANGLE', 'temp_global_ave', 'tmask', 'grid_yu_ocean', 'fswfac_m', 'fcondtop_ai_m', 'pme_river', 'albsno_m', 'fswdn_m', 'rhoave', 'strocny_m', 'vocn_m', 'drag_coeff', 'total_ocean_river', 'congel_m', 'total_ocean_lprec', 'daidtt_m', 'total_ocean_swflx_vis', 'sice_m', 'strcory_m', 'alvdr_ai_m', 'sw_ocean', 'area_t', 'vicen_m', 'tx_trans_int_z', 'kmu', 'dvidtd_m', 'ULON']\n" ] } ], "source": [ "variables = catalog.search(name='025deg_jra55_ryf9091_gadi').unique().variable\n", "print(variables)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "See the [`ACCESS-NRI_Intake_Catalog`](https://cosima-recipes.readthedocs.io/en/latest/01-Cooking-Tutorials/01-Basics/02-ACCESS-NRI_Intake_Catalog.html) for additional methods." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 1.3 Loading data from an experiment\n", "\n", "Python has many ways of reading data from a netCDF file... so we thought we would add another way. This is done via the `.to_dask()` function, which is the most commonly used function in the Cookbook. This function takes the output from a `catalog.search()` query to find a specific variable, and loads the files you need to create that variable.\n", "\n", "Let's take now a little while to get to know how to load output. Most times, we need just three arguments: `experiment`, `variable`, and (in most cases) the `frequency` of the variable. " ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/g/data/xp65/public/apps/med_conda/envs/analysis3-25.09/lib/python3.11/site-packages/intake_esm/core.py:321: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n", " records = grouped.get_group(internal_key).to_dict(orient='records')\n" ] } ], "source": [ "experiment = '025deg_jra55_ryf9091_gadi'\n", "variable = 'temp_global_ave'\n", "\n", "ds = catalog[experiment].search(variable=variable).to_dask(xarray_open_kwargs = dict(use_cftime=True))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The above command returns an `xarray` dataset `ds`.\n", "\n", "**Note 1**: it is possible to load several variables at once in this fashion and thus get a dataset with many variables (`variable=[variable_1, variable_2]`)\n", "\n", "**Note 2**: the `xarray_open_kwargs = dict(use_cftime=True)` argument is only needed to suppress warnings for experiments which go outside the range of \"normal\" dates used by `np.datetime`\n", "\n", "It's often easier to work with an `xarray` dataarray instead of a dataset. In that case, we can extract the dataarray that corresponds to the variable of our choice via:" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
<xarray.DataArray 'temp_global_ave' (time: 7800, scalar_axis: 1)> Size: 62kB\n",
       "dask.array<concatenate, shape=(7800, 1), dtype=float64, chunksize=(1, 1), chunktype=numpy.ndarray>\n",
       "Coordinates:\n",
       "  * scalar_axis  (scalar_axis) float64 8B 0.0\n",
       "  * time         (time) object 62kB 1900-01-16 12:00:00 ... 2549-12-16 12:00:00\n",
       "Attributes:\n",
       "    long_name:      Global mean temp in liquid seawater\n",
       "    units:          deg_C\n",
       "    valid_range:    [ -10. 1000.]\n",
       "    cell_methods:   time: mean\n",
       "    time_avg_info:  average_T1,average_T2,average_DT\n",
       "    standard_name:  sea_water_potential_temperature
" ], "text/plain": [ " Size: 62kB\n", "dask.array\n", "Coordinates:\n", " * scalar_axis (scalar_axis) float64 8B 0.0\n", " * time (time) object 62kB 1900-01-16 12:00:00 ... 2549-12-16 12:00:00\n", "Attributes:\n", " long_name: Global mean temp in liquid seawater\n", " units: deg_C\n", " valid_range: [ -10. 1000.]\n", " cell_methods: time: mean\n", " time_avg_info: average_T1,average_T2,average_DT\n", " standard_name: sea_water_potential_temperature" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ds['temp_global_ave']" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can see that this operation loaded the globally averaged potential temperature from the model output. The time axis runs from year 1900 to year 2459. For some variables (particularly 3D variables that might use a loooot of memory), we may prefer to restrict ourselves to a smaller time window:" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
<xarray.DataArray 'temp_global_ave' (time: 612, scalar_axis: 1)> Size: 5kB\n",
       "dask.array<getitem, shape=(612, 1), dtype=float64, chunksize=(1, 1), chunktype=numpy.ndarray>\n",
       "Coordinates:\n",
       "  * scalar_axis  (scalar_axis) float64 8B 0.0\n",
       "  * time         (time) object 5kB 2000-01-16 12:00:00 ... 2050-12-16 12:00:00\n",
       "Attributes:\n",
       "    long_name:      Global mean temp in liquid seawater\n",
       "    units:          deg_C\n",
       "    valid_range:    [ -10. 1000.]\n",
       "    cell_methods:   time: mean\n",
       "    time_avg_info:  average_T1,average_T2,average_DT\n",
       "    standard_name:  sea_water_potential_temperature
" ], "text/plain": [ " Size: 5kB\n", "dask.array\n", "Coordinates:\n", " * scalar_axis (scalar_axis) float64 8B 0.0\n", " * time (time) object 5kB 2000-01-16 12:00:00 ... 2050-12-16 12:00:00\n", "Attributes:\n", " long_name: Global mean temp in liquid seawater\n", " units: deg_C\n", " valid_range: [ -10. 1000.]\n", " cell_methods: time: mean\n", " time_avg_info: average_T1,average_T2,average_DT\n", " standard_name: sea_water_potential_temperature" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ds['temp_global_ave'].sel(time=slice('2000-01-01', '2050-12-31'))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 1.4 Exercises\n", "OK, this is a tutorial, so now you have to do some work. Your tasks are to:\n", "* Find and load sea surface height (ssh) from an experiment (perhaps choose a 1° configuration for starters)." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "metadata": {}, "source": [ "* Load potential temperature from an experiment (again, 1° would be quickest). Can you chunk the data differently from the default?" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 2. How to manipulate and plot variables with xarray\n", "We use the python package `xarray` (which is built on `dask`, `pandas`, `matplotlib` and `numpy`) for many of our diagnostics. `xarray` has a a lot of nice features, some of which we will try to demonstrate for you. \n", "\n", "### 2.1 Plotting\n", "`xarray`'s `.plot()` method does its best to figure out what you are trying to plot, and plotting it for you. Let's start by loading a 1-dimensional variable and plotting." ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/g/data/xp65/public/apps/med_conda/envs/analysis3-25.09/lib/python3.11/site-packages/intake_esm/core.py:321: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n", " records = grouped.get_group(internal_key).to_dict(orient='records')\n" ] }, { "data": { "text/plain": [ "[]" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "experiment = '025deg_jra55_ryf9091_gadi'\n", "variable = 'temp_global_ave'\n", "ds = catalog[experiment].search(variable=variable).to_dask(xarray_open_kwargs = dict(use_cftime=True))\n", "ds[variable].plot()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "You can see that `xarray` has used the metada in its plot, correctly labeing the x-axis which time and that the y-axis is `temp_global_ave`. You can always modify aspects of your plot if you are unhappy with the default xarray behaviour:" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(10, 5))\n", "ds[variable].plot()\n", "plt.xlabel('Year')\n", "plt.ylabel('Temperature (°C)')\n", "plt.title('Globally Averaged Temperature');" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Because `xarray` knows about dimensions, it has plotting routines which can figure out what it should plot. By way of example, let's load a single time slice of `surface_temp` and see how `.plot()` handles it: " ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/g/data/xp65/public/apps/med_conda/envs/analysis3-25.09/lib/python3.11/site-packages/intake_esm/core.py:321: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n", " records = grouped.get_group(internal_key).to_dict(orient='records')\n" ] }, { "data": { "text/plain": [ "" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "experiment = '01deg_jra55v13_ryf9091'\n", "variable = 'surface_temp'\n", "ds = catalog[experiment].search(variable=variable, frequency='1mon').to_dask()\n", "temp = ds[variable].isel(time=-1).load()\n", "temp.plot()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "A few things you might notice here. Firstly, we didn't need to pass any `xarray_open_kwargs` in the `.to_dask()` function - because this experiment has a smaller date range (1900-2179). Second, we needed to specify the `frequency` - this is because this field is saved at both daily and monthly frequency, and they need dismabiguation. Also, even though this is an experiment at a 0.1° horizontal resolution for 280 years -- we can still load `ds`, because it's lazily loading (that is, it only loads the metadata). But before we plot, we need to select a single time level to ensure we don't run out of memory!\n", "\n", "Again, we can customise this plot as we see fit:" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0.5, 1.0, 'Surface Temperature')" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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VpprZC41+ElFYWIiEhAQUFBSYGiisFbMeKGED7PSHlJBGzVyu1MnywbBy61jKMILaMYT1k6qr+Lz13M9ybis19xjLb0LPlLsQPktmPBd29Rc///wzOndpj+9+vQtptWMD1h85dB43t1yB7777Gddff71ECaELWWocihmdDL1Ruh+j19ApLic14aVVHEgJFC2WHakRMHp+K3rGrMfs39jt1jaO4zB8dC/831PXSgoaAEivWxWP/r9rMGLMnQg3uwVZakQ4xVIjhN4Gww+x9cKK+A8rLDVCkcBipdGD3O+hZMWxshOj59N6zAzuVRPYLNvx2NFffP7553j0sfvxw293Iy5ePvVBwdli3HjtZ/jwg2Xo0aNHUOrmBGj0kwtQM5MToYEZHW+oBEGqIdXJCd1XWuJtWLeX2zaURtOEGlJCl0XwOvX5KS0txeinH8boZ1soChoASKgWjZH/aoFRTz+Ibt1OITIyMki1tBcSNSEMiSFnI+4MxW+JWq6b0661Uj2CmZNGCb2/vVN+Y0IbctdVKe7Mabz8ZkeUlXEY8Hgjpu0HPdkI78zZg1ff7YSRT3xvce2cAYmaEIYa39BAj7gxs0wtmGW1UMpJI7bGiMWJUYGn9femzMTWYqbgcPPAiXPnzmHGlJ144dW2iIpiC4eNjo7E+CnXIWvsNvxf/wuoUqWKxbW0H4qpEeHEmBoxcvEEbntICfNFAAtaA3m1YCSZndZ8MmoxNMGIwZBC7+9Lz680RkUqawwN6z5CgtlfjH62JTatz8Nn62/XNC0Dx3G4s9NX6NbzKrww6X8W1tAZkKXGhSjl+aCGMbwIVoerF72Cxuh9rCXLsNnPjNTIKtb96Pk1Hze5l+Q4duwY5uX8ho+/vEXzPFMejweTXrwBD921HiOfPI7k5GSLaukMSNQQhI3Y2YkFs6HXm2dHb5lasOp3MDJEnMRNcHCLkHxmYmfc0j0NbW6spWv/Gzsl4aauKXhm0k14b95ek2vnLMj9JMIN7ic53PBwEtoRu1mUktWxYPWbq9SwWLV7U2k7KzseO9/g6Xllw6w4GK1uKKcM6d6zZw9atWqGr7feiQaN9B/jj98LcFvbL/Drr3vQsGFDE2voLFyTfK+0tBTPPvss6tevj5iYGDRo0ABTpkxBeXm5bxuO45CVlYW0tDTExMSgS5cu2LUrPCf1IkIDtbT9TsSsIbJap03Qg92WMvFHuI4IHk7+vffs2YNGDaqgeVUgNrdQ9+e6BA8a1K2C2bNno2nTpmjatCneeOMNu0/PdFzjfnrxxRcxb948LFy4EM2aNcOWLVvw6KOPIiEhASNGjAAAvPTSS5g9ezbee+89XHPNNZg6dSpuv/127NmzB3FxcTafgfW4ObKf8MfJjSwLRuqvNWDYzGPYjd4pHUKZYMXEOPk31hZFo1COB+jVqxfmzJljUonOwzWi5vvvv8fdd9+Nnj17AgDq1auH//znP9iyZQuACitNTk4OJkyYgHvuuQcAsHDhQiQnJ2PRokUYMmSIbXUnCC2YlYRPLYuvEwIo9STJc0qeGysxMwOz0ePb1cnHR1fkYiks/sN3rxq5/qyB2265RwhpXON+6tSpE9atW4e9eyuCnP73v/9h06ZNuPPOOwFUTMOel5eHbt26+fbxer3o3LkzNm/ebEudCUIPao22VO4W4f9OfNN0ipXFqb+PHHx9rahzfHQj3yeYxxXXgSDMxDWWmmeeeQYFBQW49tprERkZibKyMkybNg0PPvggACAvLw8AAoarJScn49ChQ7LlFhUVoaioyPe9sLDQgtoHFzc12oQ0rFaUYCSYsxLxeQbLumTFvFdmY8Y1khMNhcV/4PiWFwxlsTYKXzehRUZcRytEjxMslIR1uEbULF68GB988AEWLVqEZs2aYceOHcjMzERaWhoGDhzo2048hp/jOMVx/dnZ2Zg8ebJl9bYSp3RMRPCRS/fO46RG2+h9qjSdhBmEaicnFATpuDLa5Qj2IT66UcB5m5GNWU/dhMuEwkYoesxyQRGhj2tEzdNPP41x48bhgQceAAC0aNEChw4dQnZ2NgYOHIiUlBQAFRab1NRU3375+fmKyYbGjx+PUaNG+b4XFhYiPT3dorPQDz3E4QdrZys1wSILburInRDjEUysPEde4ByJVp6GgscKESFnhZGz2piN1sSIhHtwTUzNxYsXERHhX93IyEjfkO769esjJSUFa9as8a0vLi7Gxo0b0aFDB9lyvV4v4uPj/T4E4VTk3DMsnY5SLI7V6ElVH46YGceiJgzS0TAgpkZvgLJcbA5r/dLR0O8TrFgbt8VYEeq4xlLTu3dvTJs2DXXq1EGzZs2wfft2zJ49G4MHDwZQ4XbKzMzE9OnT0ahRIzRq1AjTp09HbGws+vfvb3PtjROMYa6E82FNYudEyG3gPHirzS7ot4zwAiQdDXEk+spyFmuLnMVG6C4DKqxK5IIiWHCNqHnttdfw3HPPYejQocjPz0daWhqGDBmCiRMn+rYZO3YsLl26hKFDh+LMmTNo164dVq9eHRY5aojQxEjDbdYwaKOwZAsO1bgWrZh9rXjRcAT7KkTH33/FNIvugV3FX2o+tlDQCP8CV4QIC0ewL2B/8TqCYME1oiYuLg45OTnIycmR3cbj8SArKwtZWVlBq5fdhFusAaEMLw7ccC/IuTpI3JiLUNgAUBQ2/HqzYlr4MqXKFVpoxHWUqp8YJyfLI+zDNaKGUMfKh5waEPegFjtjx7VUm9BSHNsQruLGqmvCiwm5WJX06EgAwJHiMgDaBI6cABEv591TUuXFRzdSFDJKdWAV8eF4P4UjrgkUJtiwUtDw/1s1Dw8RXJx6Dfl7WO5eNvv+c+rvYCVilw4vZtKjI9EhujFTGWpCRGk/IDBQmGUfgC0xYDDmDSOcCVlqQgyluWPcnqiN0IaT3VBGOxmnnpdR7LxmR4rLfBab9OjIiu9oCEQ3lHQd6RE0wuHkZri45H6rUL0/CHXIUhOiyM38a+UbC70NOQe5a0HXyB+n/R5Wd8ZqQoK32AAVwoYXOUL3VbPoHvIup7/3Ee4rB8uwbaFFSe8wbxI44QVZasKAYCTTAqjxCDZO65BZcWu9Qw25gGEphAG/cqiJGK1IjXoSZx0mCDFkqSGYoc7IHsz63Z1w/cyafZriJPTDiwIpQSMlTMRWF7E1Rskqw2q5kRIwfCI+gtACiRqCGbLEOAetHbpTBYDWGcm17Ot0pEZ8BQPejXME+zTlgGFxKbGUAQQKFjnxQjlq7CM7Oxtt27ZFXFwckpKS0KdPH+zZs8dvm/Pnz2PYsGGoXbs2YmJi0KRJE8ydO9emGldA7qcwxO2dQbigNnu11jJCDTOGpjthDiC7nseAIdcmu4/01EFNxGhxPTk5UN4NbNy4ERkZGWjbti1KS0sxYcIEdOvWDbt370aVKlUAACNHjsT69evxwQcfoF69eli9ejWGDh2KtLQ03H333bbUm0QNoYq4waeGwnpCTYxYdT5uvxeD1fGKM/+KkRI0SbFFvv/zL3qtqRjhWFatWuX3fcGCBUhKSsLWrVtx8803AwC+//57DBw4EF26dAEA/N///R/mz5+PLVu2kKgh3ANlMbaWUBM0bsCuZH9WPz96RwwJBY34u5UCR8lyo9VKI/xLXKGkpASFhYV+y7xeL7xe5etaUFAAAKhRo4ZvWadOnbB8+XIMHjwYaWlp2LBhA/bu3YtXXnnF/IozQqImDBG+HRqdPZkEjnmQuVwb9FtJIxQyfnErJrmXxIIHsN6SIxQ0Us8Ja5vmVjyl5fDmXjClnI8//hh9+vTxWz5p0iTF6YU4jsOoUaPQqVMnNG/e3Lf81VdfxRNPPIHatWujUqVKiIiIwNtvv41OnToZrqteSNSEKSwPfig2DkZQc8PJiRIWsUJvlv4IfzM5K4qZIjDYv7vwnMwUZ1JJ8fSIGaFIkRIxUmwu3uOXjfhIcRm2bHkcfTssCKiPMB+OHHLxNUqZpgl1+vXrFxDMq2alGTZsGHbu3IlNmzb5LX/11Vfxww8/YPny5ahbty6++eYbDB06FKmpqbjttttMrzsLJGoI07DT0mDVfEZKDaVcR8u6LVkajGH092MRTlZg9JhilxI/GSQgmC3bBKtMUmwR8i96kX/RKytsePGzdPOjSG4zDpuL9+D4lhcAAG3avB0gaHiE9VMTOGpuJxIz2oiKikJ8fDzz9k899RSWL1+Ob775BrVr1/Ytv3TpEv71r39h6dKl6NmzJwCgZcuW2LFjB2bOnEmihggN1BoYqzpyq+e8soJwaoytcA0YFdF2iEq1yUblUIqNEVtnzB7FxCJoAPjEDM+WLY8H7NOmzdua6keCxj44jsNTTz2FpUuXYsOGDahfv77f+pKSEpSUlCAiwj8zTGRkJMrLy4NZVT9I1BBBxS1xI9RYWo+WHDTBcEE5FbkYGd49k46GpllmWJbNX/ukzwLDCxpWxEInuc04pgR74XCdnUZGRgYWLVqEzz77DHFxccjLywMAJCQkICYmBvHx8ejcuTOefvppxMTEoG7duti4cSP+/e9/Y/bs2bbVm0QNEVTc0DCRoLEWK1yEZriigoHWwHolC006GhpKTscLFiX3kpj5a58EoF3MyCF0VQlhOS96Tq2Fj7vhh2vzLFiwAIMGDQIAfPTRRxg/fjweeughnD59GnXr1sW0adPw5JNPBrm2VyBRQwQVltgScScl13i5QSAR/jjpmrkx4Z54via9VhqhiGEVNFayZcvjvt9ESshJtRGEtXAcp7pNSkoKFiyQjpuyCxI1hO2YkS3XLW/qhD7Uro8b3BN66icMAtaLUdGSf9GLpZsflQ36NQthsL/RcybCF5r7iXAk/ISFrGLD6ASHTu8QCXWcJEyFI5zEczxZCctQaa0kxRZhyG3zTHM5qXFp56coLP4jIDcNQbBAooYIKYwKGxI3zkPLNXVC5ycUNHqJj26ky1ohdEUlxRaZ5lriY2mcgBOuMeFcSNQQIYdRqw1hLkaGcxvNeB1stNZJKF74/4ViRkrYsAYHO3W+Jr3XjZ5rggWKqSFCFr1xFqGcbt1OrBAhWhLYCQWClnmE9MIfT3wsqbwyR2SS5gndSUIxIw4YlsLJVhqlgQBOFKuEeyBRQ4Q01GC6GxbRwrJNMAJP5e6t+OhGPmHTLLoHWlcrRf5Ff/EiN4JJOKWA3BBuofARlqM0VDsxptj3/8lL0ZLbANYIGvHLBk17QJgJuZ+IkIElJkbrtAeEeQTj95W7/lLWEjOPKRyO3Cy6R4A1pll0DzySdDtaVyv123dz8R7Zco8UlwUE/vqmQZCx0oj3caoLimU0G0HogSw1RFghN+Gk1P9E8DEy27KSoJXLfaLneksdp1l0DwAVlpKk2CK0Rj3kX4xE69h6f29RGrAPP5pImHhObmoBISwZeAHj7ictVprkNuMAXBGP9BwRdkGihgg55Pz1cp1eMCczDHe0zFiuBT1uRSPWmmbRPfxdQ3+LGaF4URIVSbFF6NthgZ9VRUrQ8MvFwsYoJy9F+1xQiTHFii4oNXhBA/i72gjCDkjUEK5GrTMz+tZPYscYVsYw2ZFwL6blvT5BA0iLGVYq9vOq5n/p22HB33E4Xk15aMyIqVFDPHeTkWkbCMIMSNQQYQGr+CGsR5g5VozWdPh2CBut0xIoWUKSYovQps3bklYaPoNvUmwREmOKkRhTjKZ/r+PL23pWWxMuFDNK9WN1PYldYYXFfxh6EaCXCMIoJGoIVyPu1OSG0RLBQ8vs26xlid2I4jgopZFHQsQjiJLbjPNNqqgH1rgVOctIYkwxWgMYcts8n5AYctu8CgFTU3e1ZI+ttA1fL1ZBI7bS7Cr+UleiRHqhIMyERA0RMoiTlpGwcRZGOi+xkNHjHhSPHNLqKuFdT1JCRstM1zzCmBYAmND71b+/s+/b+u9jSw3r5i08LGgVNG3avG1I0Agh6wxhJiRqCNdzaeenfsGKZpVJaMPqN25e2AgtMywWGrXRQqzWmvjoRn8LBv/4Ga3DppWERq3KJThxOUpzWUmx/vXQKrC0jHTig5b5QOkK15l0kDNBBBsSNYStKGUWZd0PMC/vCIkZZyO00LCIqHQ0lMzSmx4dCRRfsdiojYCLaXkv7qjay28ZLyKUBASrpQSoEDTCv2LkxA7vOuLroUVknbwUrUvQ8GiNLyL04SnhEJnLfi8plbNixQqMGTMGAJCRkYGMjAzD5ToJEjVE0FASMKxiQpjkzGxI0OjHLCsNawZovYIGgN/IJQBAcUMcYRwAJCUc5FxPWgQNcEW0yIkaNSuO2J2lhFZ3ExE69OrVC3PmzLG7GpbhqozCR48excMPP4yaNWsiNjYWrVq1wtatW33rOY5DVlYW0tLSEBMTgy5dumDXrl021pgAKjqg5Dbj/ISInhmxY1reKzt7cToaBrgZgpEan7B+2LZWWK+7eHi0ERem0cy9tSqX+D4nLkfJihfhdkK0CiiABA0RmrhG1Jw5cwYdO3ZEVFQUvvzyS+zevRuzZs1CtWrVfNu89NJLmD17Nl5//XX8/PPPSElJwe23345z587ZV/EwhxciPHqFBi+KePEi/sih5XhGA1nFQs3sOJ9wRY+wkbPS+G0jWM/fQ3LXLD66kS73DgtigSIlWgiCYMM17qcXX3wR6enpWLBggW9ZvXr1fP9zHIecnBxMmDAB99xzDwBg4cKFSE5OxqJFizBkyJBgVznsUQvilEupLhUvw5oaXrzdEewLmJ3Z7NmapUbi8J2j0SHDTidYw3GtHP7r54bCPr+U/3zsTsU0CKW2z6XEEkTMCyItAcdaEQpCqXtcKA5D+f4nnIdrRM3y5cvRvXt33H///di4cSOuuuoqDB06FE888QQA4MCBA8jLy0O3bt18+3i9XnTu3BmbN2+WFTVFRUUoKrriDy8sLLT2RMIEYecjFhJ8rhCpjkrKvSTOWMoqcITHEpavVm++I9MbY8MPd+Ubfj6JGo9aBlnCGIXFfwDR7PcIT3p0JNLRuGJSSJEYlhr1JEQcU6PmDtJjiZESKUIBIyzTKkEjnrLhSHGZn5VL+Gzyz15ym3GGk/IRBCuuETV//vkn5s6di1GjRuFf//oXfvrpJwwfPhxerxePPPII8vLyAADJycl++yUnJ+PQoUOy5WZnZ2Py5MmW1j2U0ZoBFvDPDyJ2T6ltr0XQCPeRy0kilc+G1RogjPEpLP7Dr7FXcn3wIufKcFjCSfAjo/gOmZ+sUmyl0TthJB83o1XYKAUKB0PQ8GzZ8rjvHhYK9w7RjWWncSBBQwQL14ia8vJytGnTBtOnTwcAXH/99di1axfmzp2LRx55xLedx+Px24/juIBlQsaPH49Ro0b5vhcWFiI9Pd3k2rsbqYy9ct+lXEdSLh49Jmk9goYFI1mIfXWKVo/hCNg3OhJ9Oywgy41BpCx+FRa9xkz7+4Z4C+CtNkpIjXpiCdjVKzp4ISQ3SkprucIsxjx8AsBpnw+X3U9seUyKLfITfLxQ511Q5H4igolrRE1qaiqaNm3qt6xJkyb49NOKBi0lJQUAkJeXh9TUVN82+fn5AdYbIV6vF16vvX5yJyMWKWJXkhipdcKYmCPY52vkWKw0ZsFba9SsNsAVcSNnseE7UX57o7k6hMImnGcMZzlv1vw0FS4odVGjZYJIM9HjflLKY6NF0MjNQzXktnkAlMe2SwkaAD6XnVDAkJgh7MA1o586duyIPXv2+C3bu3cv6tatCwCoX78+UlJSsGbNGt/64uJibNy4ER06dAhqXUMFuc6jsPgPv48aUoIG0DYySZfbKTpScoSL2qgp3qUkFd8j7Hh95yXTMWrpMPt2WODK0VJ8hl8zYHX7ied9kvpfK0eKyzRdr6TYIkPuJzMRCholCwuP0JpUIWSu/AXkR3eJE++Jzz8dDV15DxOhhWtEzciRI/HDDz9g+vTp2LdvHxYtWoQ333zTlw3R4/EgMzMT06dPx9KlS/Hrr79i0KBBiI2NRf/+/W2uvfvQMsqEReSIBY0WrHI78WUrlZ+OhmgW3cNP3LRp83ZAA2/0jT8ptgjHt7zg2tw6dggbtWMqiU0pEWPU4saaK8bMmBdxWUJxworUPmKLDKD8+/AvEFY+qwTBgmtETdu2bbF06VL85z//QfPmzfH8888jJycHDz30kG+bsWPHIjMzE0OHDkWbNm1w9OhRrF69GnFxcTbW3H3oHTYrN3JJTtAIBZCc9cRII8l3Wr4GV/ARI3Ucow201k6yb4cFSEdDtGnzNr3x6kQodHYVfxmw3gx3k1ELjZmWGmFZ0z4fjvlrn8TJS9FMFhuzsHuYO0EIcU1MDVCR3rlXr16y6z0eD7KyspCVlRW8ShGqaA3ADcbbHj8Zn5bjNovuEWChEZZnlIrOsmLGZYpHMAdxELDUdWdFTsywWGisEDTCsoUWm/lrn/QF/AoRx9Lw9eaXi8VJmzZvM43OW7r5UZ9lh0bzEXbjGksNERyMJjcTCxhhPhoxwQiIVerA5Kw2AWVgHzpEN5YeIcNYhhLCzjIptgjp0ZGutNTwLiEz42z01oNHylojh/Be0Rpjo4bS1AcsJFUu9n3MQEqIGRmFt3TzozSKj3AErrLUENZixO0ESFtk5Kw0weq0WQSH3Db8iI4OglE0/Ju+1D5yy7WSFFuE45vdb6lhHalkNZuL90heQynsGg1lBLFY6tthAZrWlN5WSszws3wDV+5h4e/Ax9wkxZKriXA+ZKkhAFiX7p7ljd2JwYV8o95BYliwnHAx4tqQQipY023YbbUBKoS1VFAwS+Cr2ShZa1itMHLbTej9Kib0fhVLNz8qGVMj5yYTuqXErjqpIdxGRn4RhNWQqCFMFTRaR+9YJWjM6JT07K91H7nOYcht85AUWxQSwgZgdzWaJYDE5ewq/hKbi/eYPuIJkM/7IgfviuIFjpJbSc3lJBZJegOE8y960bfDAt/9mB4dqShe9MwKThDBgEQNoRvhFAFa3Ex6XE+yo5YkRjaZ0VFZ8ZbOo+VtNym2SNcwXSeiFG9jhUVHXF5h8R+y4kaM1piak5ei/T56EcbOyImZ/Mv+5U/7fLhPzEzo/arvfhHXQ61eSzc/qupeEq8XZyQmQofs7Gy0bdsWcXFxSEpKQp8+fQJyxQkZMmQIPB4PcnJygldJCUjUELo6FKFFRi5RnRRqgoZFpAiXOT0Ggsz0bATT/VlY/IdsVmklWONJrLRiCAXNictRfmJGDD+8m6VeUvfp/LVPIv+i13fe+Re9WLr5UV+5JGhCm40bNyIjIwM//PAD1qxZg9LSUnTr1g0XLlwI2HbZsmX48ccfkZaWZkNN/aFAYSIAqbl09KCW1E4rUsNznQzfUfB/tQZZSs0tRGhHT8Cy2fFRSuRfjmaKp5ETNDxSE17OX/ukz3IjJWrEw7nFI5jkRjSRoAl9Vq1a5fd9wYIFSEpKwtatW3HzzTf7lh89ehTDhg3DV199hZ49ewa7mgGQqCF8KA291iNwxG/DvJVGSdAIOxIpC41bkBIjWgWKcHupyQcJdsT3cIW1pqHP6iclYPTcb1qsNMKcNWrCRuxy0gIvjk9eig7ITUP3VPhRUlKCwsJCv2UscyAWFBQAAGrUqOFbVl5ejgEDBuDpp59Gs2bNzK+sDsj9RMhiNMbBSBCwmwQM4T7ioxsFiG6WeCwrhzTzwoVFwCgl8ZMTKiRo3AtX6kH58UjDH67Ug48//hgJCQl+n+zsbOXjcxxGjRqFTp06oXnz5r7lL774IipVqoThw4OXwVoNstQQpiOcCVvPtAduEDRCKwrf0VntKgola42dOWyEsV+8S5PVral2jVljWAD/kUu1Kpf4LDVKI6GkBA8fTyM3XJx3IUnF3RDhR79+/TB37ly/ZWpWmmHDhmHnzp3YtGmTb9nWrVvxyiuvYNu2bfB4PJbUVQ8kaghZ5DodpYBg4UzYQpLbjAsUOBLBvm4QNHYgTJBGaCdYAkqv+0kNoeDJvxyNE5ejmKZC4Bly2zwkxlz5HirimNBOVFQU4uPjmbd/6qmnsHz5cnzzzTeoXbu2b/m3336L/Px81KlTx7esrKwMo0ePRk5ODg4ePGhmtZkhUUOowtIhCK0zYuTmS/Lt6zIhI35bt9JCI+4kyVqjHaURd0ewDyhuGHAPioO7la6xmpCxar4nINA6kxhTjAm9X8XuU3E0bQFhCI7j8NRTT2Hp0qXYsGED6tev77d+wIABuO222/yWde/eHQMGDMCjj9p375GoIUxDSwyNmUImKbYoJNO3izvLULTWWJ1tOLnNOM0TqgoxImasQs4NxSMcFVVhoSn2WWlI7BCsZGRkYNGiRfjss88QFxeHvLw8AEBCQgJiYmJQs2ZN1KzpPx9HVFQUUlJS0LhxYCb2YEGihtCE1ozBQOAoKL91BudLUrOSSMW+GIGGWDsP3hIjntmcXx4f3QjHt7wgKXDEQtyM+buElhlhfAwvRMyalFJ8LN5qM6H3q77lTapfWX7yUjQJGoIZPu6mS5cufssXLFiAQYMGBb9CjJCoIWQRTlRpxFWgmK9GRweiRciIl+sRNsESMixv/rx7Ydrnw31/wxWxW0n8XXjfCQWOEpZmktYgZpKiLwEA8otjVLZkJ1TclkRw4DhO8z52xdEIIVFD6EJphJNWtLwdSwkMoVBhETxSwsYq4SIeRqt1vRQnL0X/nVAt2hevtGXL48Yq6jJiWt7rm6KDRyhYhPfkEezzWWrk0HIPSolPlrgZK4QKax3CWfwS4QWJGkKVSzs/RZs2b6NZdA8/V5JZw7NZtmEVHeIsvFJZee1wIYk7QiOxMeLYmtbVSnWX5UZ4i6FcrIzcfSl0T/EC5wj2IR2BgcJSAcJGYmh4QcP/zwsb4XKpZUaQyjpMEKEOiRpCEuFbrdroJSvRIkDMyOJrBqxuJK37SG3f+u/vfTssCIt4CaELVBhkLOca5a00SsiNgAKuiGKl6yNlIRG6mqREilDYKC2Tgw8WlorZIYhwhkQNIUlAAKWOCQCNxicYFTTBxK6RMDx2n3+w4F1OwvnJxJOp8tYXJfj1/H2tJGysJL84RtYyoyZwxDE6vNDJ/O9o0+pHEG6DRA0RAG+ZESbHY3U1ScUmCJfpndxRiXDp0KVIjCnGtM+H+yYtDHXUrC48PrcSGvpZGqXmefITOAJho3ZfycWwJFUuDhAqSZWvzLWTf5kt8ZkWy42QnPtnkeuJCFtI1BCSSL2xSi3jOwh+nZGAX6fAGtzLbxNMK41c0rVwHdlyaeenfq5SX0ZrmUkq+WVbtjzul+U6PToSKG74txhqrFnQKOWOEQoav+UMsTNag4vNHC4eTPp2WOD7PxzcqIR1kKgh/JCazkCM0PLCNk+OfquMUoAt6zqxOBGKFiUBI1W+0VgYPViRkTYUkQr4laNNm7cDtueFjVbEUxjIupMux8sKHF9ZJgUJAxUWGye5onhrolCAC8UMQZgBiRrCD6Gg4UXJkWJzbxOWzLhKYkFuf7l9WJbrCe41A6HlpVblkoBJDgl11IZry2FkCLcYJTHCi5mkyoXMriejqGUdDjZ8ZmP+f56k2Iq/vDuarDSEUSLsrgDhHORGObWuVhrwRitl2lciKbZI1qRfkcadTTDw2yXGFLum069VuUSyrsJl/P/8tmrnxrJNOHF8ywt+96h4klSpj/ie5PcRD+PW+lvzAkb8v9q2ZpNUudjQzNwTer9q2szewudV6ll3sjuacBdkqSEC4Bt8tW2EKG0vtU6qYVMbNqvViiEXf2IX/DmYKUbCXdgIkw/yb/l9OyzQNIopKbYIW89WNIXCnD98RywVp8ISu6ImZpyMcKoFMxCKdh5xgDtZaQgzIFFDAAgc8cTDu3qEmXi1zGAsLksPwgZRTaBIbcOyn/A4WkWQ2IXEsi1hHF688BYWuXuYJym2CE2qXwAA/Hamit+61tVK/76fS01Lsie5XiRmtIyE8u2jYUSUkRFQvHAzGptTIZD8l9WqXIKc+2ehSXXdxRKEJCRqCB9qb7daM/MKY1+k3EVKIkBpnZTbRg2p7eTEi9QkgeL1/HI9dTETp1ihgo0wwHTLlscVrTN88jz++iRVLkZSajF2na3iC/7mhbtQ0IitNHLWGT3BvWIxE8x4GynWPjYRAHDbO1P8lidFXzIUvKzF4pNz/ywAcFRwM+E+KKaG8L3hiuNk+AZ+/tonNQ8ZFsa+yMW/8J2GVGcht07YMcnBGgMhjF9RElBS2wUjpkV8/vx34bJws/z07bAgYMQM/52PkRF/5O6/ZtUu+N2nwuVdk06ieXxBwD58J8939Er5aLRgp6BZNCDb9z8vbsQWHn652cg9/wShF7LUED6EScekTPDz1z6Jvh0W+K1nGYXUrNoF3//8iAy9DZm4k3dyqng9I1D0xm+EA/y9J0Zqfi8e8b2o9lvWqlyCLim/AwBOXmTzjQTTymLGZJiLBmQHJPaTymy862wVJCVdWbb2sYkBlhw1pPL5KJFUuRiLBmSj//vjNR2HIHhI1IQh/PBX4fBtueBgoWiZ0PtVNK3p31CJc8MILSn5l6MD3CNyHb24sRNuo9QQSqWKF2Ol0FE7H6nzMlOkhJP7SU64iJfz7iShoBG7M8XXjN9ebJ1RioFpHn/c992uwF+tnT9vlVESR7yomPb5cJ8A4tEjbNiCqv2fIxI2/nAlESg6EWe8nNIIrFixAmPGjAEAZGRkICMjw3C5ToJETZghlXQMuNIxSCWXE+aYEL95CeNmhBYZQNm0LGwofy1MYBIncqilkxdbcsQNKL9er1VFymLEUhetOMkKZQdqmZ6F28gF+/LXib8Ov52pgsSYYl8AceD28Wha41DFcQWWG+GQ7WCid+oEubLUlvssq4JlOzMy0fKNHNXy+RgZ5vqIniMSNtbQq1cvzJkzx+5qWAbF1IQRE3q/iu6pF/2WCeMOhAjFi7DBlxpZJNUpSMUe+D46BIzf/jKzHjOlnRcIEaWYFZaP1nMwSri7oYRB51K5jYTCWy5Wynf9/75XhPftLUlHAo4pFC2JsWf8lvHfE2PP+P4PBkaDd1ngY2j4oF0/V9XleEtjbAjCCK4VNdnZ2fB4PMjMzPQt4zgOWVlZSEtLQ0xMDLp06YJdu3bZV0mHwTfyrauV+iUe491GUrEwzapdQPP4AnRNOomuSSfRrNoFP2HAr/MTB4IGN6lyIZrHH5esD594THUYrIYGXEpEhRJygdOhjtqEncJ7Vyw8xeKmefxxNK1xCM3jj/vuX97tJBYxYrFipmUm2FYesStJDV649H9/PPq/Px75xTE+ccNS98z/jpYVKb4yw9z6SJiPK91PP//8M9588020bNnSb/lLL72E2bNn47333sM111yDqVOn4vbbb8eePXsQF2fcHxkKJFUuxomYQGsL/1c1kE8oWET/6zWLJ1UuvNJYiibw84mUvxtRO0eJWIFc/hGliQydGhhtBXxG20TBz6CUT0jKMiPuyIUWFpb5mKT2BSrcUXotNMEWNGsfm4ikv28VrcJGHEOTXxxjqP5Cl1Lmf0f7jb6S244gWHGdqDl//jweeughvPXWW5g6dapvOcdxyMnJwYQJE3DPPfcAABYuXIjk5GQsWrQIQ4YMsavKliOc3mDLlsclt5nQ+1U0q1bRGTardkE2iFdMhbtIXlDw634tTJZczu8nHF0h5z6S6tTFZUmtZ1mndbZjoyglSxPWRfy7SG0brDo7DV7QKFmjEmOK0TXppO87/3uK79mkyoU+ASIUI+L7NKlyIbNYEW8jLJ+VYIycyrl/FpobOAQvbPq/P15WgAAIWFchuCuUlFLuGV688En+nDYRJ+EuXOd+ysjIQM+ePXHbbbf5LT9w4ADy8vLQrVs33zKv14vOnTtj8+bNsuUVFRWhsLDQ7+Mm+nZYEDA3k5gKQRMYCKmUayUp+lLAm5KUuOBN9IrxLiIXk9R8NyxuKDPQ48pS208c7xOQu0Rmndy2Wgj10U9ySRN/O1OROK/CuliIG+tvx431t/tcSw1S96NB6n40rXHIT9Dw8MKDv38TY8/43ZNqwkSLcLEbqXw7Wln72MS/rT1X7tmdGZm+9bygMeLy5YUMCRrCCK6y1Hz00UfYtm0bfv7554B1eXl5AIDkZH+LQXJyMg4dOiRbZnZ2NiZPnmxuRYOEMG9HUmwRlm5+0peITDiPirhj0OqyEL9Jit+GgcA3XjEs5mqpMtTKNYKU9UZJZAQrPkdtVEp+cYzvGoZLTI0Y4bxMQsGSGHsG8Qmnfd/5/+MTTqOwoIZymRosLVKWHL1CR2itsTuzsBziOqpuL/FSRBDBwDWi5siRIxgxYgRWr16NypUry27n8Xj8vnMcF7BMyPjx4zFq1Cjf98LCQqSnpxuvsMW0afO2b/I9flg1n0cGqBA8vLCRHVZtMO27kolea6xCQB1Ejbu4PC0Nv5o1xA3BxAHxS2EQSyMXH5OUVHEfNEjdz1yeWNCouZe0xsoYtdyIXxCcKGx45J5tNzxHROjjGvfT1q1bkZ+fj9atW6NSpUqoVKkSNm7ciFdffRWVKlXyWWh4iw1Pfn5+gPVGiNfrRXx8vN/HDQhnEwYkMqcKEpKJO0Ctqcml3EVihI2w2rZSo0rURpo4fVZjO9GaD8QNSFmg8i9Ho2mNQ0iMPYMGqfvhrXUO3lrnNJdttqDRu48avtGBMvd+sCwhwpw84vrwLiiyyhBOwTWi5tZbb8Uvv/yCHTt2+D5t2rTBQw89hB07dqBBgwZISUnBmjVrfPsUFxdj48aN6NChg401twZ+hmwepfgYVh+12B++aEB2gLDgh2gLl8cnnMaN9bcDuCJO+M5HCeEoFK1INbAs4suNSMcpSWcsDgX4AGGe5vEFuCXpCPrV2+lbJhQz/P+FBTX8XE/BxkxhIxlzJrrnWXLFsGyj9MzoeZ5C8Rkk3INrRE1cXByaN2/u96lSpQpq1qyJ5s2b+3LWTJ8+HUuXLsWvv/6KQYMGITY2Fv3797e7+kGDFzZ8JmBWxB0n64gbYSfCN+rxCad9HymLjNBULzeCRA6rc4foRU5QqQktrXX3zxVyRdCEmrWGtybeknQkQCAL7zk+dby31jlZQSOMq7EaYeCx1qR8WrY1454X3pty9y4rOzMyA8oTBhITRLBwTUwNC2PHjsWlS5cwdOhQnDlzBu3atcPq1atDMkfN0s2PYsht8/wsNkpBoyxBsUL6vz/e7y1PavTIyYvVVTsKfr1wmKxVpnqzyhHGDIhjG8TrleohFxdhKNYoyEPT7YC/j7uk/I74hNM+S0zRiTjJYN+iE3Gqbig7LTh2IWelYb13+fv3tnemKAoUqXXilxeCCBausdRIsWHDBuTk5Pi+ezweZGVlITc3F5cvX8bGjRvRvHlz+ypoMXwczfy1T/otF1prePgEWizBfL5t/x4K2yB1v5/1he8gpMSJVOchZbFRQm5b8SgXFoyaz6XM/qxlypUjtZ1S3EI4khR9yU/QAFesMVICRs9kf8J72Uq0WGy0Wmt2ZmRi7WMTA3LESAkaLfeVcDutUyIIX16OPT3Qt1z4v3CZ1HKC0EtIWWrCjWmfDwcgPVKkVuUS2Rwmwiy9YmuClhl41ToEuRgHluG1QvQOn5WKSwCujN4wOkLLbKTqyzIKRm6mcLeSVLkYTWsckhQvwmW8hUavoAk2SkPGjVgv1WJsxBYYoeVFamJKfp3eZ0OcvFAsbNJmLCQhQ1gGiZoQQChoWGeclhpZJNXAyTX+WhthrZ2IGY288LvU6CwnCRo55NxZAdNJVC4OuVmNI5LLAACXfq0GAAEiR8/IJ5b7ULyNkgDXKtABbfc2qxtHfC+Lc8qIn225WbaFriTWvD1aXU1iQZM2YyHzvgShhqvdT4RygKhUjI3UiCE5xHlA1BpvYWegtaG3GjcIGDVC4RxYqdWwImFm+XH5TNnBQux6DZaVx8oYNDnkxI4ULG5iggg2JGpcDD/0VTwrsRRrH5sY0Cm2fCPH78Mj5+eWytQqh1TjzwsdKwRPMBpSvcewqm5SwcJKc/O4hebxx31WGh6x20mPy4kFLYJFOKrKLKHDu25YRgXK3VdCt6r42dZaF/44YoElnthTT7mEs8nOzkbbtm0RFxeHpKQk9OnTB3v27PHbhuM4ZGVlIS0tDTExMejSpQt27dplU40rIPeTi5G0xPw9AaIwzmLRgGw0jw8UNMAVP3x+cQyaxx8HACTGWhNzYNUbrlWiQWhWVwpSZpkA0azRIH7p6kNwssu1j01E195bAVRYaXjxIiViWEY9saDnvrQzJkdq2cmL1XWLF9bjSQkauWeEtdxwHJXmFjZu3IiMjAy0bdsWpaWlmDBhArp164bdu3ejSpUqAICXXnoJs2fPxnvvvYdrrrkGU6dOxe233449e/bYNuqYRI2LyfzvaD9rDY84gd4VsXKlAeLFjDC+xE1mY6vrqsX0r7UxNyOlvlDYAP5WG95a47b4mp0ZmbixPtvUB1LJ9wB9o6CCAd95s84/pQUzLR8VFl3tcT96IEHjbFatWuX3fcGCBUhKSsLWrVtx8803g+M45OTkYMKECbjnnnsAAAsXLkRycjIWLVqEIUOG2FFtcj+FCrxVRjgkuHn8cXRJ+V02YR3fEYrXB6uxsSI+wYjYYUmYZoaY0pOYTQ2pmcLd5IramZGJBqn7EdP8rG+ZkkBxonhRS/5nBbygMdtKo3Qswt2UlJSgsLDQ71NUVKS6X0FBxWzvNWpUCPMDBw4gLy8P3bp1823j9XrRuXNnbN682ZrKM0CWGpcz7fPhfkO68y/Ho2kN6VnJeRM1P8KBNbmZWxBaV9RM4lpN5lZhZZIyt0wwuPaxibix/n4/iwtLgLBQ2Ogd2m02dlgfzBQ0Son27H5Wwpmy8khT2uby8kh8/PHH6NOnj9/ySZMmISsrS3Y/juMwatQodOrUyZf7jZ9nUTy3YnJyMg4dku6DggGJmhAjvzgGSTIxHmJfOD/ChMdb6xxq/d05FBbU8K03u7MQD4PVMoRWC1ZbXOzE6TM5a4HPSSMODhYjFi5ucDtZjRUWmpZv5FiaR0b4vFd99nPLjkNI069fP8ydO9dvmdfrldm6gmHDhmHnzp3YtGlTwDqPx+P3neO4gGXBhNxPIYbU27lYNEgJGnFnYfUbp9Xlu1W0qNWbT1+vJGiEo9yc7oLamZGJ+ITTfoKGt9LIxc2woHcGb6sRulyNPgNWuoPSZiz0fVi2lUI8BD6Yw+EJeaKiohAfH+/3URI1Tz31FJYvX47169ejdu3avuUpKSkArlhsePLz8wOsN8GERE0IwGcWVnI3CBsUoaARDo+Vegu24w043Bo+ranxpdLdy+UfcroLKjH2jKr4UFuv5x61W/SYcY8HI44GUE6Ox6+jBHqhB8dxGDZsGJYsWYKvv/4a9evX91tfv359pKSkYM2aNb5lxcXF2LhxIzp06BDs6vog91MYIzdM1gnwLiq7E/rpyRirB7UU+qxv5XIJ+tY+NhFNaxyyZOivXiqCg6WtNDxKwkMupkZs4ZFaLka8Tu45MFvs672/Tl6sjjRTamAevLA59vTAANEWbi8qoUBGRgYWLVqEzz77DHFxcT6LTEJCAmJiYuDxeJCZmYnp06ejUaNGaNSoEaZPn47Y2Fj079/ftnqTpSbEEHdqfCAw3xifn9pbc5l632qNvglLNYxmN45KxxCbzYNhTtcylFwtwzBvveETL8YnnA7IEu0k9GYPtsLiIjUlA8syVsRCRnwvqd1XwXavarHEpM1YKBkrU/XZz1H12c99507xNM5m7ty5KCgoQJcuXZCamur7LF682LfN2LFjkZmZiaFDh6JNmzY4evQoVq9ebVuOGoAsNSHBogHZSKpsfrksDbbUBINWI8z5Ic7/wbKOR7hcbvJNtTpIlSsuXytKSc7EmVydPHXCzoxMX9CpVKfI4nqSQovFhV9mtgXSTMGudi9ZFUivFaElhgU50UKuKnfAcZzqNh6PB1lZWYojp4INiZoQoP/745Fz/ywkRV9SfIOTetM0MprEjAkGjcAqQvTkDzHDAmOm68pIUGhS5UK0fCPHZ6WTExlmUuHuOuNzRZyf2huFBTUC8qrwridWK41WQaO2TqtwF2Olu9apLhsniBKhi4ssPoQQEjUhQsXcT9rf2rU09sJ4AlYBwxqrYBSjPnyrOhAzhY3aMH0l4VMRv2JKNSTLFtLyjRyfuwvwF89uSpHPKniCGYfm5jxSwBUxUvXZz00R195a53B+am8SNoQPEjUhjDCxnpkYKVNuX6cEKFuBGe4DLRMaqgUWmykmjj09EImxgcsapF4RNPxfYQ6kChdGDcTgLIAKi40TZuR2KmL3qBOsJXpIm7FQV1yfFMJ7iyB4KFA4RJByPVn9sEckl6kmTGPFziG2odIoSs2mLOTP3Kt9/5uRXI1/65b68NdTLFaFOZDSZiwMKSFjtTuWF8Nun65ALsZNC0638hH2QZaaEEHoenL7A6/VZSU1bJfV8mOHoAn2MHEgsCM0eo+cn9ob8QkV/+uNcxHDW2vcZrUxkiRQD04Zkq8XPsbKiOuosKAGaoXIywhhLmSpCQH4GbeFw0LNaFyVrDBmWWjEyMXyKMX4SO2ntI9aWcEkWFlWeYFT9dnPDQ3vF2LFUH/+vrLq/go2Zt1XQuuW26n67OeIaX4WEcllfhOYakH8O5TM74KS+V2MV45wPWSpCQGSKheanrdCS6cifrMW72vWW7dWYSO3jF+uZM3h10vtb0bmZTusacJ7xEhny4sh8cglLRYWlvO30mITTGuQ8F7SGztWWFAjJASNmfC/qVxbRQHE4QlZalzO2scmIjH2jJ+FxmyrAx87I/wobeMW5Kw7rAGIVlh3rLTc8GZ/IXrfbtXOXeqeEd4f/P5RQzZoOq74HmO17EjtYwd2T8/gRMqW3aRrP16wCMVp2bKbfFabmOZnyXoThpCocTniobNyaLW86NnPjGO7AbnssnLrWAjmZH9GR5opvf1qudYs7i81MS08ppqQ0oLZ96ySgA5noVOWGm1of6l7WXjNQ63tIdQhUeNyhC4FFmsKy3ZWwHI8t1l6xIhdYU7tqJxaL6sR31vi50FqebCRujah6HqK7POt738rhA0RvlBMTRigZnkRxhcEoyEXxmJIZZRVinewKl7HKrRmaeZRmtJBarnU/sJ1Sta8smU3+XUyalSMXLnyXU4syCG8vnpdDyzH0bqP1H2nNNmm2QitfeHSUUfmFqMsNVrzPcjD/2bCtkRI+fFIlItcULzLkx+BJV5OuBuy1LgYYa4R4cNZfjxSVwMc7DdTrcdTsj4p7eNm648achNtiteJiRqywe930SIulIIzWYlILjNkMTLrmmoVZMEmFK00Uui11giFiLDNE76kiT9ly25C2bKbfCOw+I9ZSQEJeyFR41J4QcN3WErWGKdbMwB5wcLiChCfu9M6Jh4jnThrzI3SNsLj8wGUdv5WTr1Ocqi5qwht6LHMSCEWNuXHI3VZXcLVLesE1q1bh169euHqq69Gw4YN0atXL6xdu1ZXWSRqXIyZ0yA4rWHW2mmwxOuI/3faOVuJ+D6ROncjriA55N7Ay1KjDcdS2I2VAaneWudcP8+TVop/vNWUcnhB44aXOQJ4/fXXcccddyAuLg4jRozA8OHDER8fjzvvvBOvv/665vIopsaF8Onp+Y6q6rOfB3RIweqw+Y4pMrc4KMczgpywkYvtIczB7eJFSLCeKz6mJhxcT2YgZZmJGrIBJfO7MF+ziOQylMzv4sjYmtLySqZMj1FaHokVK1ZgzJgxAICMjAxkZGQYLtcI2dnZePnllzFs2DDfsuHDh6Njx46YNm2a33IWyFLjMsRz9pjdyGp5g3ZyZ6XFDSUndqzowII5KkrPsVisNWb9Lm4Qwlow454pOhEXNkHCUphlreGJGrJBs5sr1HPb9OrVC7t378bu3bttFzQAUFhYiDvuuCNgebdu3VBYWCixhzIkalzCsacH+k0gKAzWDKbbQIpQ7JyUlpsxHN6KyQ+15MqRs0iZLVTl7o3odusQ2edbzR2OlOgOBVdWOAsZJ7UfVraphDR33XUXli5dGrD8s88+Q+/e2oO3yf1kEP7mNyvoTQ5x/IwVFprI3GLfEEvhMv4vv0xu31BE7J6SGi2j12UlnGJBOCWDng5OKQsySzyNlQjvKZ6yZTehLDXaJ274ZXJICRm+bOEyp9yHetyZwuseLvE0kX2+DYqA0HKciOQy/zw6OoebE2w0adIE06ZNw4YNG9C+fXsAwA8//IDvvvsOo0ePxquvvurbdvjw4arluUbUZGdnY8mSJfj9998RExODDh064MUXX0Tjxo1923Ach8mTJ+PNN9/EmTNn0K5dO7zxxhto1qyZafUI5qgR3jIDwFRBIxcHIydYWMsUCx8zOhjWsoT1NLtjYxk2zqNH4EhZbax4c1cTYPxvWPzjrYhut052O7mcIFoQHguA4vHkkLrOThA2Yncm6z0hvu7hEk8T2edblJnsdhKjVTjxQqYiJseiShEAgHfeeQfVq1f3ucR4qlWrhnfeecf33ePxhJao2bhxIzIyMtC2bVuUlpZiwoQJ6NatG3bv3o0qVaoAAF566SXMnj0b7733Hq655hpMnToVt99+O/bs2YO4OHM6CSvFjDhPQnyCtW/ZWkz2LNuKOxSjHYybgpCtgsV6o8V1JTnqyULXTWSfb5niJPhORNz5CO8BPQJbriyCYCGcRkjaxYEDB0wtzzWiZtWqVX7fFyxYgKSkJGzduhU333wzOI5DTk4OJkyYgHvuuQcAsHDhQiQnJ2PRokUYMmSIZXUrS40GDJoohdkt+Q7MbreBGShZcJQ6H94VJl7O7+/EGAozR07JxdzIzRyuhNJ9o+d3jBqyQfXNV0+sDASuXN49pVRPJdEsJbADjsfX1QEih3KkOAO/NobialyJa0SNmIKCAgBAjRoVvucDBw4gLy8P3bp1823j9XrRuXNnbN68WVbUFBUVoaioyPddKdpaeJNLNZJ6uzRxum7+f7eKGKllcgJFKV5H7Y3baP2sclNZOSzcTEEjh9Hfpfx4pO9Z0DKaRXi9WV0Seu4FJwpiHt/1LaiBY08PDBsXlBA196dWSJw4G47j8Mknn2D9+vXIz89HeXm53/olS5ZoKs+Vo584jsOoUaPQqVMnNG/eHACQl5cHAEhO9neAJicn+9ZJkZ2djYSEBN8nPT1dcjslQcOjdziiGW9pbhqGzRK7IxQ9Wke3SO2jdai6kRE1ThGjeuth9B4xcv5lqdEo/vHWgGdJj9DSeh2d8GzwBHPWdqdQlFoFRakVoQRmCZFQH54dCowYMQIDBgzAgQMHULVqVb/+OCEhQXN5rrTUDBs2DDt37sSmTZsC1nk8Hr/vHMcFLBMyfvx4jBo1yve9sLBQXthY2OgJ3/L5pFFaUQvWtbPRVjq2lfVSO65VrgfxqClAfgJPK46thlFXXrBGrQCCIGKRS8oKnBBoDITXpJZSGLF8C9EisOXcnU64H0KZDz74AEuWLMGdd95pSnmus9Q89dRTWL58OdavX4/atWv7lqekpABAgFUmPz8/wHojxOv1Ij4+3u8jRuzfV0JrQy83iZrRt12WZYS/BUf8Vm+0MVOaLNFsa47e3DlmWx0B89Mb8HWxalit1XlunDwfmZPw5l6wuwqSUNtpLQkJCWjQoIFp5blG1HAch2HDhmHJkiX4+uuvUb9+fb/19evXR0pKCtasWeNbVlxcjI0bN6JDhw6Gjm32KCEhVZ/93O87P4usluMpBVSGQmKyYGDXb6S1wwtm56gmbIKVu4N3SZidbVYOel6CjxXWENZ2lNpIe8nKysLkyZNx6dIlU8pzjfspIyMDixYtwmeffYa4uDifRSYhIQExMTHweDzIzMzE9OnT0ahRIzRq1AjTp09HbGws+vfvr/u4ZctuAlxww0e3Wxe0Rp8wBzXLDe+iErusxLlPrBQ6akGbvBvKSoHjzb2A4lxr7m2njqQDwmtEFB8YLrTWGAkY1iJoCHu5//778Z///AdJSUmoV68eoqKi/NZv27ZNU3muETVz584FAHTp0sVv+YIFCzBo0CAAwNixY3Hp0iUMHTrUl3xv9erVunPUBDNqXktCM3oQwwc54WO2e1IJFmHjVuR+C6fE1oQT9GIWngwaNAhbt27Fww8/jOTkZMUYWBZcI2o4jlPdxuPxICsrC1lZWaYdNxgCgiXvB0Foxcx71+xhtm7CLIGjFCROs8QHUpRaBdB431nVjobz/W81K1euxFdffYVOnTqZUp5rYmqCTfGWigBevY2Z1LBUJVgbM7LSBA+7f+tgWmPE8MNrhcNstd7TJNSlUQogF34P59FPgPbAYc1TIVBb6gjS09MlB+johUSNAnoDyPSYUKOGbNC8Dw+ZbQkevfesULzwf8XreYT3Wtmym0JGvJid6FEJtQDxiOSysIqpEaP1ZZIEjXuZNWsWxo4di4MHD5pSHokakxF3CFrEhptjE0IVYQI3JzaEZtRPeM9KCRophFYbPmGeVN3chNJUClaKG6XvBGEn33zzDXr37o20tDR4PB4sW7YsYJvffvsNd911FxISEhAXF4cbb7wRhw8fZj7Gww8/jPXr1+Pqq69GXFwcatSo4ffRimtiatyCmbkWxDlT3NZJhCJy10BqqgcrA02DcS94cy8oCh5v7gW/eojjDqRiEMiiyI4R661biW63zmd1YW3zQsVS6EQuXLiA6667Do8++ijuvffegPX79+9Hp06d8Nhjj2Hy5MlISEjAb7/9hsqVKzMfIycnx8QaGxA13377LebPn4/9+/fjk08+wVVXXYX3338f9evXNy3gxy3wjb3ZyaOED7XSw33u8F3wmnpkQitqCQ+NChwrRYxYvPDLWNAqtkPFVWrV6Ci+XOH8WYQ0wRYz4Rgs3KNHD/To0UN2/YQJE3DnnXfipZde8i3Tmkhv4MCBuusnhS7306efforu3bsjJiYG27dv900Iee7cOUyfPt3UCroJYVwCQQgJBytbUWqVkBAscljthhS+wISzGyqyz7e+gRNmCUdx5vBwpqSkBIWFhX4f4aTOrJSXl2PlypW45ppr0L17dyQlJaFdu3aSLio19u/fj2effRYPPvgg8vPzAQCrVq3Crl27NJelS9RMnToV8+bNw1tvveWXKKdDhw6aE+WEAt7cC74PwB6XYObx7TguoQ3WTlHvRJxOQesoKbfituviJpRcb0aC040G0dtFaXkE8i/HG/6UchH4+OOPAyaNzM7O1lyn/Px8nD9/Hi+88ALuuOMOrF69Gn379sU999yDjRs3MpezceNGtGjRAj/++COWLFmC8+fPAwB27tyJSZMmaa6XLvfTnj17cPPNNwcsj4+Px9mzZ/UUGfLwjXy4mS8JacTuC6UgVbcgdlmFg7leauJYI+UQVxAnJKXYGXPo16+fL5ktj9erPYChvLwcAHD33Xdj5MiRAIBWrVph8+bNmDdvHjp37sxUzrhx4zB16lSMGjXKL1Fu165d8corr2iuly5LTWpqKvbt2xewfNOmTaZOTOVGhBYbHr1vrVobOqdOCEdI44aOTO6e4pernUM4WGwA7dfS6aPqnABvrdFjmTHrd9UzMtDpREVFBUzirEfUJCYmolKlSmjatKnf8iZNmmga/fTLL7+gb9++Actr1aqFU6dOaa6XLlEzZMgQjBgxAj/++CM8Hg+OHTuGDz/8EGPGjMHQoUP1FBk2qJnmnTism9X8KpWwjVDGiZ2aWMjICRtW60Q4CRupj3g9YS1mWc+k2rBwuZdZiI6ORtu2bbFnzx6/5Xv37kXdunWZy6lWrRpyc3MDlm/fvh1XXXWV5nrpcj+NHTsWBQUF6Nq1Ky5fvoybb74ZXq8XY8aMwbBhw/QUGdJoGfHBv5GwNn5FqVUCOh2pZWagVq7UEGDh9lIjbPhtlEbfSDUuZJUyF7Xfk35v/ehxLZalRqMsDNx3ZiMWkTR/lzHOnz/v55U5cOAAduzYgRo1aqBOnTp4+umn8c9//hM333wzunbtilWrVuHzzz/Hhg0bmI/Rv39/PPPMM/jvf/8Lj8eD8vJyfPfddxgzZgweeeQRzXXWPaR72rRpmDBhAnbv3o3y8nI0bdoUVatW1VtcSGOVulfL/GrFMYQiRKqj09L5sWawZamX1mMTxtFideDja/Q+C1YJdacTDnFJVmOmdawotQrCyda2ZcsWdO3a1fd91KhRACqGYb/33nvo27cv5s2bh+zsbAwfPhyNGzfGp59+qimty7Rp0zBo0CBcddVV4DgOTZs2RVlZGfr3749nn31Wc50NJd+LjY1FmzZtjBQRtkg1VnoC4YQNfXS7dSg6fBcAazsBvcJJyiJjJnpzrRDaCHYiSOF9HSp5bgg2Ivt8q9guCter5YoitNOlSxfVyaQHDx6MwYMH6z5GVFQUPvzwQzz//PPYtm0bysvLcf3116NRo0a6ymMWNffccw9zoUuWLNFVmXBG+ODKPYjCTluqwy7+8VaAYll8kMgxH96cr1fYaBElQtEfV2c5UIetjFCz6pC1xh+puEOzxYvSyxddD3OZMmUKxowZgwYNGvgNNLp06RJmzJiBiRMnaiqPOVBYOKY9Pj4e69atw5YtW3zrt27dinXr1iEhIUFTBcIZv4kBTZ63J5QadbOQCmSW+5/wJzK3OGjxCUWpVVQ7jeh26wK2CYWORuySpXvyioiJ7POt7YJGvL54S29Tjx2OTJ482ZebRsjFixcxefJkzeUxW2oWLFjg+/+ZZ55Bv379MG/ePERGVmR+LCsrw9ChQ02dQjxc0GNOF07NIGeRMPrGyvJwu1k8yQlCt5+XFajl1WHBCreRlJBx+7WTijU7d/iuCmtVmBKsUaHhLiDtgOM4eDyegOX/+9//gjeh5bvvvotNmzb5BA0AREZGYtSoUejQoQNmzJihp9iQRclczi9XewuWe9iUHkLWxt3Ig2zVvFd2Q4HIgZj1Riz3PJjRofAix41xN9ShOheprO1uvMecRPXq1eHxeODxeHDNNdf4CZuysjKcP38eTz75pOZydYma0tJS/Pbbb2jcuLHf8t9++82XZZDQh5aOw8hEhGYjFjeh2ECTBcccjI6EYsFt1yoUn5dgYNY9pOX39+Ze8MV3EfrJyckBx3EYPHiwb4ZvnujoaNSrVw/t27fXXK4uUfPoo49i8ODB2LdvH2688UYAwA8//IAXXngBjz76qJ4iXYlZVgq9sQpKgoblbdiqXDahDMUtmYPUvRlXZ7lpbpa4OstRnOuON+lQf2acjmZBA7LSmAE/O3f9+vXRsWNHVKqkLEdeeOEFPPnkk6hWrZridrpEzcyZM5GSkoKXX37ZlwkwNTUVY8eOxejRo/UU6Tq0PAhm5OjQsh1rp0CNqTHcZg1wA2bGjYTa8O9wj6sxG2r/nAHrHFHTp09Hv379VEWNrmkSIiIiMHbsWBw9ehRnz57F2bNncfToUYwdO9YvziZUkUpIZwSt6dOl5pcScu7vnB5i6CE2H/pNzcMKAeL00UNa6xZKIs0oRn4LJ98ThDRq+XJ4DCXfAxA2o530jgTy7cfwALIIG9aYlXOH7wIEdaKHmCCcgdHAfEonpx+9vz1ZZd2DLlFTv359ySFYPH/++afuCjkJrQ+A0lxHRalVfDEDgP6RSXw5RTLWGIIgrsA/c6HUKelN/ia24IaTK4te6sIHXaImMzPT73tJSQm2b9+OVatW4emnnzajXq5FrfGMq7M86CZkeqAJt2BFtlahsAHcH+BdlFoF0Pg7ybmkwwGz2r9QEsahjC5RM2LECMnlb7zxhl+WYTdTlBwLr959Tbj51R5EodVHDnoArcHqOawI8/GzStSBZoupmQTz/in+8VbZY7k58Jj1xdCKCX6pXXU2ugKF5ejRowc+/fRTM4t0NXI3v5E3Ub4RCuc3LydADZs1BGuqA/45siuQWC3YnwVhx178462SHxLf5kO/qT3cdNNNiImJUd3OcKCwkE8++URXWuNQhG+chbEvrG9Gcg+NnrcqegDNh39bc5qwCfbs2YRxjFpt1Cb2VCOc42yMQBYbc9m/fz8WLFiA/fv345VXXkFSUhJWrVqF9PR0NGvWDADwxRdfMJWlS9Rcf/31foHCHMchLy8PJ06cwJw5c/QUGXKYbdqlxsY5OLExE86eDeib0kCcBDLUBRKLCzcYaBU2LPdfKL/MOGVYe1FqFRSdKwnKsUq5COQXq1spWMpZsWIFxowZAwDIyMhARkaG4XKNsHHjRvTo0QMdO3bEN998g2nTpiEpKQk7d+7E22+/jU8++URTebpEzd133+0naiIiIlCrVi106dIF1157rZ4iQxJe2GhpOEO5MQoFgiVo5MSJeLlcNmreamNkZm3hsYJlBbIiUJgFu9+85UZNKm0nh9Y2JJTTPlD8WyC9evVylPFh3LhxmDp1KkaNGoW4uDjf8q5du+KVV17RXJ4uUZOVlaVnN0IFK4LaCPMwa/ZzLSiJFr376q2DWnlmiJ5gC5q4OstxvORhxOYWBvW4StglMry5F1Cca4+oZEWPlSaURVso8Msvv2DRokUBy2vVqoVTp05pLk9XoHBkZCTy8/MDlp86dSosMgprQeyGkrLaKD1scXWWk+vJAQTzLd4sMRJsInOLXVt3wHmdHh+3Jfyw7kcE4sQ4OAKoVq2ab7olIdu3b8dVV12luTxdokYuXXFRURGio0PbD68XsbCJbrcuIDmf0j6Ec6CGURle3GgVOXZaCC6mhlZm9FAUQGbF0rjpnMOB/v3745lnnkFeXh48Hg/Ky8vx3XffYcyYMXjkkUc0l6fJ/fTqq68CADweD95++21UrVrVt66srAzffPONI2Jq5syZgxkzZiA3NxfNmjVDTk4ObrrpJtvqw1trhPE1TghQJOwnHEYsSQmbUD9nt+LUaRjMDg6mWBvnMG3aNAwaNAhXXXUVOI5D06ZNUVZWhv79++PZZ5/VXJ4mUfPyyy8DqLDUzJs3z8/VFB0djXr16mHevHmaK2EmixcvRmZmJubMmYOOHTti/vz56NGjB3bv3o06derYWjcgcMQFWWiIcEQodOwWOMlRH+B4ycMA7A8YthN+CpZwgYSNM4iKisKHH36I559/Htu2bUN5eTmuv/56NGrUSFd5mkTNgQMHAFREJS9ZsgTVq1fXdVArmT17Nh577DE8/vjjAICcnBx89dVXmDt3LrKzs22p08XUeMSpb2YZThm66las6uSEAbh2d+xSlB+PRERyWVCO5eTgVLfC0mm7QcRZOYRbfO4kcuyjQYMGaNCggeFydMXUrF+/3pGCpri4GFu3bkW3bt38lnfr1g2bN2+2qVYIGFkR7LchKwXNxdT4gA+hH6sCbcuPKwfwlx+P9NuG/59fLl5vJk4RNKF477o9ONYpOWkI67jvvvvwwgsvBCyfMWMG7r//fs3lMVtqRo0aheeffx5VqlTBqFGjFLedPXu25oqYwcmTJ1FWVobk5GS/5cnJycjLy5Pcp6ioCEVFRb7vhYXWDO1kTcbHYtXRI1L4BtusoatKHcDF1HhHDZE1gpkdgtAiIxYvwRg1xIsSofVFLFRYxA9PsKw4wcYN1gutyA1rFp6nN/cCYL+HnggzNm7ciEmTJgUsv+OOOzBz5kzN5TGLmu3bt6OkpCJ74rZt2/yS7zkNcd04jpOtb3Z2NiZPnhyMapmGVneSWW+gWsqxStgI62C1cLKiYwv2kGcpkWKWxUVcjptFjjCuxomY5aJUckk5MUiYRWCaNfs6uZ7s4fz585KjpqOionQZGZhFzfr1633/b9iwQfOBgkFiYiIiIyMDrDL5+fkB1hue8ePH+1meCgsLkZ6ebkn9zJo6wYig4cVGMOJsxMc2U4S40RJkNMOvVqTECy88rHAlSVmC3Ab/fJjVURpBKGSsiLkSn5vTLDXnDt/FLGj4//VeLxI09tG8eXMsXrwYEydO9Fv+0UcfoWnTpprL0xVTM3jwYJw7dy5g+YULFzB48GA9RZpCdHQ0WrdujTVr1vgtX7NmDTp06CC5j9frRXx8vN8nGMiJm9jcQsU3RjMmoOPFhtZ9jQoJN8XfhIL7gRcXEcllvo94XTCxOjbHKMlRHyA56gPHJLy0Onjc6R25WqCz1Do9s647/XcIdZ577jk8//zzGDhwIBYuXIiFCxfikUcewbRp0/Dcc89pLk+XqFm4cCEuXboUsPzSpUv497//radI0xg1ahTefvttvPvuu/jtt98wcuRIHD58GE8++aSt9bKSYDbAsbmFpllJ3GhtMYrwzZv/WImSeLFK2IiDi6WEjFOFjZC4OstDvsNz6vmdO3yXr25y4kUJp54XEchdd92FZcuWYd++fRg6dChGjx6Nv/76C2vXrkWfPn00l6dpSHdhYSE4jgPHcTh37hwqV67sW1dWVoYvvvgCSUlJmithJv/85z9x6tQpTJkyBbm5uWjevDm++OIL1K1b19Z6ScHPOwOwd/Ba3UaxuYUBQcIXU+OvHFeifMD65IB6BU0oCCGxkBF+D3bMjVLQsNUEc8i4EUItcFhsAXHD+ekRKVricQh76dmzJ3r27GlKWZpETbVq1eDxeODxeHDNNdcErPd4PI4Iuh06dCiGDh1qdzUkMRpXc7zk4QAhwiJAhGKAFzrJUR/gHK7sK6yXFTE3oSBIrMZOgUMEwj8Txbm3uqLz1wt/bnbNki7ErHYnVK8VoYwmUbN+/XpwHIdbbrkFn376KWrUqOFbFx0djbp16yItLc30SoYyyVEfBDzEsbmFfmKDFyBKKIkQKTERm1sI1Lmyn5TQUrLaCC1AUsdycrwMC04IFCWcQ3S7dRUjg+pU5E5xu8CRildxirAxI9Ovm69NuFFWVoaXX34ZH3/8MQ4fPoziYv+XudOnT2sqT1NMTefOndGlSxccOHAAd999Nzp37uz7tG/fngQNI1rfRGJzC3Hu8F2SAcRG3mqOlzzMZDnSY1kSCymy0jgbN8S4OAW7LRlmIdXxO8EdY0YdpASbOIjYCefqdL755hv07t0baWlp8Hg8WLZsmW9dSUkJnnnmGbRo0QJVqlRBWloaHnnkERw7dkzTMSZPnozZs2ejX79+KCgowKhRo3DPPfcgIiICWVlZmuusK1C4bt26iIiIwMWLF/H7779j586dfh/CGpSEgR5xw5fHsq+UsAkH4UINn7W4VUwFMzhfz4znrMhZNOzK5GvmcaWEDL+cYOPChQu47rrr8Prrrwesu3jxIrZt24bnnnsO27Ztw5IlS7B3717cdZe2vujDDz/EW2+9hTFjxqBSpUp48MEH8fbbb2PixIn44YcfNNdZk/uJ58SJE3j00Ufx5ZdfSq4vK3N+8J/d6I2tURIORhLesVpsaA6p0MNOYRE1ZINtx3YiasKFRdhoHVHnxsBho5CwYaNHjx7o0aOH5LqEhISA9CmvvfYa/vGPf+Dw4cPME0jn5eWhRYsWAICqVauioKAAANCrV6/gDenOzMzEmTNn8MMPPyAmJgarVq3CwoUL0ahRIyxfbn9+h3DEjBiWc4fvUhUtYuHDD/FWE1Nuj7GxA6uHe9udM6bohJ3TvBrHTDeUmZYYO6bgINxDSUkJCgsL/T7CqYKMUFBQAI/Hg2rVqjHvU7t2beTm5gIAGjZsiNWrVwMAfv75Z3i9Xs110GWp+frrr/HZZ5+hbdu2iIiIQN26dXH77bcjPj4e2dnZpg3NCnXMtHrIBe4ShBROcfucn9obVZ/93O5q6IYXNkbcJlaIDq1lmhGcawZOqIMTKeU8yL9s/CWnrNyDjz/+OCD/y6RJk3TFrwi5fPkyxo0bh/79+2tKYtu3b1+sW7cO7dq1w4gRI/Dggw/inXfeweHDhzFy5EjN9dAlai5cuODLR1OjRg2cOHEC11xzDVq0aIFt27bpKZIwgWDFtISbG0rY0Ia6WT5Y8FaawoIaqGpzXcIBlrmj6N4OD/r164e5c+f6LdNjERFSUlKCBx54AOXl5ZgzZ46mfYUzdN93331IT0/Hd999h4YNG2qOzwF0up8aN26MPXv2AABatWqF+fPn4+jRo5g3bx5SU1P1FBnWOCUtO4/ewGExQrdUqAQRywUfWoXVLqhgU3Qizs/tFJ+gbbhmqBFM15BWF5ddwcKEtURFRQVMDWRE1JSUlKBfv344cOAA1qxZw2SlueGGG3DmzBkAwJQpU3Dx4kXfunbt2mHUqFG6BA1gIKaG94FNmjQJq1atQnp6Ol555RVMnz5dV0XCGV5EOEnYqMFqqQlllxiZys3h/NTedlfBMHqErl2xLlaNpCLCD17Q/PHHH1i7di1q1qzJtN9vv/2GCxcqLIOTJ0/G+fPnTauTLvfTQw895Pv/+uuvx8GDB/H777+jTp06SExMNK1y4QQ/+kgsbI6XPBxUK4dvskuTygv1WJ9gjBThrTWh0BF5a50LCBAORxeUE64li0uKCG/Onz+Pffv2+b4fOHAAO3bsQI0aNZCWlob77rsP27Ztw4oVK1BWVoa8vDwAFWEp0dHy91arVq3w6KOPolOnTuA4DjNnzkTVqtKtgHj2bjWYRc2oUaOYC509e7amShAVSM3ALZ7KIBjIZS8WCiwtcTWh4nqSQ+4N3WyxU5Ya7YjO0AqOPT0QaTMW2l0N3Wi91k65liRsCCW2bNmCrl27+r7zOmDgwIHIysryjXZu1aqV337r169Hly5dZMt97733MGnSJKxYsQIejwdffvklKlUKlCMej8c6UbN9+3am7Twej6YKEPLYFYzLixfh9AzBthgR0pjVGUYklzlmBBThXOyeMoGwly5duoDjONn1SuuUaNy4MT766CMAQEREBNatW2faZNjMomb9+vWmHJAwD6W5l/j1ZgkRcTnFP94KUEyJIlaNmnK7sBG7oOITTqOwoIbCHqGF1RYa/pqyzoBO1hrCLkpKSvDII4/g/PnzpokaXYHChP1YFaciHrGklJDPTYHNoUaodULhPgrKCvjkikaEa7CtNFbHp3lzLzAfg4a4W09UVBQ+++wzU8skUaMTlofDyoeCJZNvMNxFJGzYcdpoKae5n3ZmZNpdBV3YPfSZv45KAkbtWjshvgcInoiys+0m/OnTp4/fRJlG0TX6KdwR3vAsD4cVnRlvqbEzzsXXmDuss3Yi4SRoeNeSt9Y5y45B+MNyPcuPRzK7pHhCKaZGrq3ml/PPqLh9d9qzG2o0bNgQzz//PDZv3ozWrVujShX/33v48OGayiNRoxE9Cl7qwRCWY+ShEbqhgilwhEOZ6cEPb+TmcBIuZxE4ibFnTKtTsDh3+C4Yy8WqD72iVLifVoHjFKTaYLX2x4jlhdo3a3n77bdRrVo1bN26FVu3bvVb5/F4SNRYidEHw0pYBI3QuiO29LAGFQsfcHrQwxstE1K6ffJKOYLppuAtLWZZ2fRYbpyAWm4osQgx+xr5lVc1tGLb7ODAgQOmlkcxNSrwsTNWNl7BbBiToz7ws+5cTI0P6eR4TsPNQpCf4kA81YGZuCmuJlixNMJYGafFQdmFnOVb/FcJrUHDUtt7j1+U2YOwC7LUKOCWYDEpy4scx0se9v2fHPWB33c5+ER7bvk9nI6U714PRoZ2OzFPTTiMgNJyvYJ9fYR1s3N0HWtiT7HFJkBwUHvlCgYPHqy4/t1339VUHokaGbzHLwJVgvfzaPXbivPRCP9XEzbCjMHC/1kzF5OPmSBCA7e6oKyARJA98BNb8pSUlODXX3/F2bNnccstt2guj0SNgzAiFljnWJKbAkH4ZiQURhdT4yXngRKPGOCXkdhxB06z0vDEJ5zGzoxMtHwjx+6qKKLH9eSUYdNilJL1hcrIJ8K5LF26NGBZeXk5hg4digYNGmguj2JqQgAtQcJq65W2U5rjKFQETbCSf9n5VqhH0IRqoK9TsUN0CmN3aCZvwk4iIiIwcuRIvPzyy9r3taA+hEsRu7FYCEWTrVWiwwm/FQka52NE0AQjmNspUOLP0Gb//v0oLS3VvB+5nxyGUReUEH5CSpZgYCmkhI3ccMpQtNJI5RJyu0XKiQHCQsJpDigzUcoVpCUJotAFFdnnW8P1Igg1+Jm/eTiOQ25uLlauXImBAwdqLo9ETQgjFz/DijBOh38rsmvmcKvgRYqWtOluFzZOhh8BtfaxibjtnSk218Y8WF05VghOLRme3RI4TFaa0GH79u1+3yMiIlCrVi3MmjVLdWSUFCRqHIi4gzXagRoVNyyY3dGzlqf0W1k5cZ1UoLQbcLKVRkhSZfum/zAbp8SmCK02ShYcX1xN0GqmDbnBC6FMabkHJy5HGS+H82DFihUYM2YMACAjIwMZGRmGyzXCypUrwXGcb3qEgwcPYtmyZahbty4qVdIuUSimJsjwAXhWBuJdTI3X/CYjJXy0JuVTyxMh9V0pfkUta6jU+mAH4lJuDHYKC2owuZfiE06jQep+HHtau+mZYMepcTdy1mA+UWgwXtJCmV69emH37t3YvXu37YIGqJjQ8v333wcAnD17FjfeeCNmzZqFPn36YO7cuZrLI1ETJII1msBIdmCWxkLr7LZikSGbmVO0jbg84X5mW7KMInWOwUDr/eQUK40WcUPCRh2t01WIt5db5iR4MUOCJvTYtm0bbrrpJgDAJ598guTkZBw6dAj//ve/8eqrr2ouj0SNxaiJGTMtN7ygMfPB11OWEUuJnPXFbbixzlYiJWJYhc35qb2tqBIhghcydgqaUIvZI9S5ePEi4uIq7rnVq1fjnnvuQUREBG688UYcOnRIc3kkahjRIzqC7Us3Y5ZutbchJybjCkcB4ZQ4DRaUxIuS1cZb65zv4zRhw2oddNN1Aq4IGjtGoSkJGqm2LVhzbxHW0rBhQyxbtgxHjhzBV199hW7dugEA8vPzER+v3fNAgcIKROYWB8yBIm6kjMy/w3pMqaHFcpB51jlouW5aMfu+czpahiUT7kPNQkOjnUKXiRMnon///hg5ciRuvfVWtG/fHkCF1eb666/XXJ4rLDUHDx7EY489hvr16yMmJgZXX301Jk2ahOJi/0b98OHD6N27N6pUqYLExEQMHz48YBtWIvMq9mNxH5mNUpnBskqQ/9pcnGBNsmOorpE3frEbxCnWGi0uEjsnhnQL/O/phGdECb5d9gsZyAufFwuruO+++3D48GFs2bIFq1at8i2/9dZbdWUUdoWl5vfff0d5eTnmz5+Phg0b4tdff8UTTzyBCxcuYObMmQCAsrIy9OzZE7Vq1cKmTZtw6tQpDBw4EBzH4bXXXrP5DLQjZbFRg95mCLMxEl+hRdDw2yrN1O0Ua43TO18zCIcZ07UgFDSE+aSkpCAlJcVv2T/+8Q9dZbnCUnPHHXdgwYIF6NatGxo0aIC77roLY8aMwZIlS3zbrF69Grt378YHH3yA66+/HrfddhtmzZqFt956C4WF7sx5IfcAhUOjagfUYBHEFYIx8ozVSqM3K7oZULvgLlwhaqQoKChAjRpX3gS///57NG/eHGlpab5l3bt3R1FREbZu3WpHFU3BiQ+UE4OFjSI2LattZzd66uGUId1KiK07ThtarBWn3C9ORiqFA0HoxZWiZv/+/Xjttdfw5JNP+pbl5eUhOTnZb7vq1asjOjoaeXl5smUVFRWhsLDQ72M1VnQuwXY9uVnYiE3JUh2PcJlcx+SmDstNE1mGyvxPeu4PN0xRYBZSsUl255ySguKi3IWtoiYrKwsej0fxs2XLFr99jh07hjvuuAP3338/Hn/8cb91Ho8n4Bgcx0ku58nOzkZCQoLvk56ebs7JSVB+PFJX56LUOMbVWW5bLE2whI1UgJ7Uei37svjIpbZn2TZUcEoMi5MoW3aT3VUIwK3XSS4JpxiphKLBHM4das91qGNroPCwYcPwwAMPKG5Tr1493//Hjh1D165d0b59e7z55pt+26WkpODHH3/0W3bmzBmUlJQEWHCEjB8/3m+W0MLCQlOEjXhiOLGYEa5nmUROGDgc3W4dwuXdQU5UiAOplb6b1ShJ1UWtXoQ+Cgtq+IJVhRYj47PfWI8dnaC31jnTLGtCS9nOjEy0fCPHlHKNEIyRmOI2I9zSJoQKtoqaxMREJCYmMm179OhRdO3aFa1bt8aCBQsQEeFvZGrfvj2mTZuG3NxcpKamAqgIHvZ6vWjdurVsuV6vF16vV/c58IJESpioiRU9wiayz7e662oF0e3WaX5rkmo85LZTK0fL92AhdVw3Ch2741mEwsYp1gi+o3Pi9TRT2PAkxp4xtTwhcm2H2ZPjaoHF7Uw4G1fE1Bw7dgxdunRBeno6Zs6ciRMnTiAvL88vVqZbt25o2rQpBgwYgO3bt2PdunUYM2YMnnjiCV1ZCbUSTr5wM9DqRnI7ZidoDAZOERKAcydfBOTdosHGqb+PHoRuKDMypath97UjzMMVeWpWr16Nffv2Yd++fahdu7bfOo7jAACRkZFYuXIlhg4dio4dOyImJgb9+/f35bGxEqU4GbUYGuF6OcsN/7/TrDSsaLG4hLLZV3hOTnzTNxOzgn2F1hq7KVt2E9Qi4sy4b3nLr1Ow0gVVlFpFdsQTb7Gh/FuEFlxhqRk0aBA4jpP8CKlTpw5WrFiBixcv4tSpU3jttdcMuZbUsLLhEQoaAI4WNHzAsNooIlacJmjs6mDM+j2B4FsS4xNOO0aMEM5FbQi3N/eC4aBg8UuT0nfC/bhC1NgNP2pJ7+glPcdyI1LWB7dZJKQCuvm/Zl4b1saUNX9OKGPnEO+S+V1QtuymgFFPTnE5hSN6R6CRmNFGaWkpnn32Wd/0RA0aNMCUKVNQXl5ud9UUcYX7yU6kOrFgiA63CRs9AcNOQuzuU9uWx6gFRM4lZXbAoh33k9vzzZTM7+KqWDkrAoVPXqxuanlm4LYXJbfy4osvYt68eVi4cCGaNWuGLVu24NFHH0VCQgJGjBhhd/VkIVGjgtP824R2lEaWiWOajByDR29H6LQ3x2DN+6SlvKqmlioNbwmIkM8EYQnCkZR2Ep9w2u/65V+2fqCFVdCcTfr5/vvvcffdd6Nnz54AKtKr/Oc//wnIHec0yP1EmIYTswxb5T4Sls8SKG53R0WwYVdyPbPuEytGrCVVtmb0kdJvbYYIISEjTUlJSUAW/aKiooDtOnXqhHXr1mHv3r0AgP/973/YtGkT7rzzzmBXWRNkqQkSUm+9fANUdCLOUcNnQwUtbiQrjyvusILt0iBB5Sy05qfSitluKCssNXKCRi4HUPGPtyK63bqK/UTrrUi06TRKyz04ecm426203IOPP/4Yffr08Vs+adIkZGVl+S175plnUFBQgGuvvRaRkZEoKyvDtGnT8OCDDxquh5WQqFHB6g4hlHJLAIGxNXY2MnKmfOrknYswhsPKxG/BQk60mOX2dCPFP96KSATGxghdRVLZwaWCtQnt9OvXD3PnzvVbJjVKePHixfjggw+waNEiNGvWDDt27EBmZibS0tIwcKD1M7jrhUSNDOX5kSiPMT4JoJIFRrgt/38oWWyo0VHGirf0UOPkxeo+cXPyYnWkWXisYLiewk3AsMCSukAtcJ7aGnaioqKYEtI+/fTTGDdunG8qoxYtWuDQoUPIzs4mURPOaLXESLmiik7EuWLOGx670si7pcOQS7ho9bHcBm+14YWNkwNWxYHidlpizLb+WhVTA7hLjITbS8jFixcDpiOKjIx0/JBuChR2IHyjFGquKS2IOwW5OBUhdjU4cteJ9fqZGcAsLEtrmfxUBEanJLBiKLcThxbL4WYhCfhfv8TYM0iMPYNFA7JNK9/uEUmsLmm1/GTlxyNRnu/ua61E7969MW3aNKxcuRIHDx7E0qVLMXv2bPTt29fuqilClhqHIhY256f2RtVnP7ezSsyYaaWRsmoEs9MQW85YBIxeF6L4vIyINLs6ViOCxk3CBXC/eJFDPKQbAJKiL9lUG3NREjQs19Mpw+6DwWuvvYbnnnsOQ4cORX5+PtLS0jBkyBBMnDjR7qopQqLGRMLZsiJEzv0klctFKemdliBfo42MVEyTWFiyihWz7gPxaCmlXDjh0MhajVJQL2tixlDFShcUjxXuHbkRh2blpApl4uLikJOTg5ycHLuroglyP5mAk2cQdipG3CRSZQUDPddYHAyupww191s4NLL5l+Nx2ztTbDu+W6YvMaMdkrK2JcaewdrHzH1DN3P6GTdcGyI4kKVGB0ZGKglnHdYyA7GbRkWVH49EJLT5y/U0SlY0ZG4Sp2aev5PPOxgBwuen9kZM8ytv8+HaSSq5D82w1lgxwsyIhZcIPchSYwAzLDSFBTWY4xDOT+1t6Fh24IbGxOoOXek+cYKVz6zju32uJ7diRnA3C0bzBpXM7+L73wo3slusaYS1kKhhxOiIJKF4kWr81ToEuzs+LUj5r53U2Jg1ysfI8Z2AmedvVNCoBQnnF8cYKl8Nb61zrpzSwix3E+vLldkuKCnEU5uI11k15YlWik7EoehkMGYjI7RA7icVpBLkmQG91YY34nvJzVNluH3E0/mpveGtVfG/no5SaQoUpe30XG+zBbHWa2fEBaUlCJh11KNdwsYpLyZEICRqZCg6WRVFlYOb8o5vYFjjbJyO3W9SbkNqWLhVYscpFhonoGVUm/C6sO5jtDyz53LSEssnRq8LqmR+F9+s506JnwMCnzmlFA5arz1hDyRqTEBOjOhtPIQdRagIHDVYOm+jHbybGiM3TKFhtcsJCE6QsBxS94vZ9xBLeVZYiIMtRvUMiTdL0GvNNaW03mnPIBEIiRqDCBsHPbEyLOWbIWyOPe0/V0fajIWGy5SiYhSJ8XLMasj5hsjMoa5y4lX4V7ydGVY4own+nNQos7qdeHeHVTE1wuBVIUbvFycJaLPaEJ6dGZlo+UYO8/ZCKw0rcoJSylrCYkExsz0hnA2JGp0E803HaIcoFjTCZVaJG9Y3Mq0xS1o6ZjOnm2AVr1pErpwAYkHcwOtxodgFq6DJvxzvEzVWZLS1StDYjThthN3IWWlYLJAs1jK3Xy/CXEjUMGBWwyCccdhqpISM3HZmCptgZN1Vsli4KVZESgBpETdKglBrR6EVrb8PL2SCdf/rxa0dpJo1xi5xI2el0evac+v1IYIHiRoZzhVWB4rMmcNI6c3UCqHDKmikMDLHlHAUiRpmuYSokZPGit/FjI5Ry2inpMqFPmuN1UO6AfXfTHz+euPljLqC5CwxalZCOxFbaYTPPz3DhJlQnpogI9Won7xY3ZKhrXLlyh3LaHI/oXVAafimkxsxLckQrTy+0zolO4dtWxEsrPVeVzp/luslzlMl9b+WejjxHhHDu/f0jFwyIxZRrhy5ZXK/rVxdCgtqVLz8Eo6CLDUmIjaxyzXmasvlLDeFBTUgTvUktMqkzVjo+y48hlqnYrYLSgknvZ05LfZAjN4pNcyugxGckIdGDpb4IjUxI/VdKpBcbX+pbaRmy3Y6fPtTq+Ehv+Xi+Bml519OdLDc/1LPtJJrV+4aSv3v5LaCuAKJGhWEQkNKdGixhOg5phJiN5OUoFE7Bn8c/s1VbxBpxf5/N1w4Z9psu1YMb3eymV6MUl2tFjl2/zZCC03/98frKoOfa6j8eCSihmwAIG2lkepk9Z6/sBM18hva/fvLkRh7xvciJOXqlhM04v+lULrf1X4PNdFh9Ll36vUg/CFRw4gWy4eZxxQLG6nGxAwRxTfAtWqdMxRXw1N+PJLZGiMnXKQaNbmOnCXQ1upGSUt8lBmxVFYkazTzNzJyX1rhciqZ30V1KLCZ52/V/Wbk3pHaV295wjaIvwfFL0Un9tX1W89jlvCTKjMUKS2PQP5Fr+Fyyso9WLFiBcaMGQMAyMjIQEZGhuFynQSJmiAjHKaql50ZmUiMNVdc8Q0C3wgZmdHEiGuJJTaBR6pBlMsZYxXia6Dlmoi3DcbIIBZhaBSzRb+RIOHIPt/KDt0WY4arLdiju9SOqWb1NeNaxSeclrTw8m0JECjA+WfTicIv1OnVqxfmzJljdzUsg0SNAqY3zn+/fWoRNlrjcvRitBEQN1pa/NhGjym33EpBY5W1Ts91UHLRSYk7sbAxEq/j5JgZnqghGwKsNDxGBLjYhStexoIWy57SOi1xfHIucy33nfB+kUqroPRsar3X5Oom9ftLrReGDshtq3Z84X7Css4XF2kqi7AeEjUynLpUDVVVRnSriRPherE5Xc68btSKYwThw6sleNjIEHLiCvzvbySni5bRHmrbyGGF2Bfe98JnIxhDuQHj56/3N1HaT0moGLEQKh2LL0vp3lMSJUqCxgjiOsmdv5r4kfqupQ6E8yFRw4icQFHz/WuNDeC3t1vcmGW6tWvUjhakGkzx250dSB3fTpO6lb+H0nOiN0hYiJKVhqUTtiN5oB33n1BYi89V7Tnmf0+r3L4sz6XdzyxhPyRqGBC6jYJ5zGAJGzOPxWopYCEYfnGxdUS83KkE67cxcgyp+8qXTM+miSqlXG9KuO2+0IvaeUmlFpCbJFJt+LMRq1io/v6EeZCoUcDqhje/OEZxThvx8VmFh9DaIyxDzVUm3ObkxepIYzqavs5PHAcgZ2oXvp0pBTuGS1CgODZCLtWAFcfTgtKLgB2CRo+wNitpoJbnTm29lKtOaR2PnBucXyclQIXPlVSMnFSeH6m0A0ZeapyEE6zohDokamQ4cTkeVQzOkqAmWli38W3L2ADKfVdbLj7GzoxMAJCdkZdfz9KZSgkX1mHyUibxtBkLNR1frky7kRKgWhpNltgCVjcWS8CpG1GK+ZLrdK0Yjs4i5uSspkoubxZ3OMszLz628B6Rcz3JBVo7cXi1WOSx/NZq5VygQGHH4bppEoqKitCqVSt4PB7s2LHDb93hw4fRu3dvVKlSBYmJiRg+fDiKi4stqUd+cUzAR7xevJ3Ud+G24v9lj3053u/DL2PdTyu8eNiZken3v5iTF6v7fYTLheuNwgcwy4ktJyK8TlLXTPy/nmsl/s2Vfm/xtdJ7jaTqapdrSQotCSn57bTeo2rnznItpbZxyu/ImolXvEzryE2z2gcp5H5bcVvqlN+c0I/rLDVjx45FWloa/ve///ktLysrQ8+ePVGrVi1s2rQJp06dwsCBA8FxHF577TXTjq8kOtQEiZF9Fcu14EEUv9UIRQz/P/+mwzLk0ir0JLuzuuFkGfHGes1Y3YfBRO8bbrAQW2bElj6l4HWtAeJ60jSwlmkHLOchTJkg9TvGJ5zGn7lXA9Cei8nsZ9Qp9yQRPFwlar788kusXr0an376Kb788ku/datXr8bu3btx5MgRpKVVRIPMmjULgwYNwrRp0xAfr+/mDtaQUqljsrqlrIalYQiWu0IY66M2lNxokCGLoAhmzIgdPn25OA2zzlHJ/arn2Ts/tTfiEyo6XDOHXrNgZQeq1iYIfyvFOD1ROVK/v/A8eBEIKMfHCBNeKiE3uiqU3J2EvbhG1Bw/fhxPPPEEli1bhtjY2ID133//PZo3b+4TNADQvXt3FBUVYevWrejatatkuUVFRSgquuIXLSwUNOA2CBoptMTdBBM7LAeJsWewMyMTLd/IUUyoZUUj6ZS3PiWLkFwQqZ5yxcs11/Pv+zbY96+coAGunItc8Ll4P6VzT6pcaOtILrn2SbxcKGC07JtfHIOkv+8h/ncSC5s/c68O+A3tmgRVKVDaTITC8ERxZUuOQejHFaKG4zgMGjQITz75JNq0aYODBw8GbJOXl4fk5GS/ZdWrV0d0dDTy8vJky87OzsbkyZMDlp8oroxYg4HCZuJUYQOwd55K27GUodRIWW2udoqgEaMWhyE3hFppNIzWc2Wxtgg7AqkOVa4MrTlqpDpUP7cfXw8FS4HasHOjz6IZ+1uxvazQuRzP7OblBSWLVVHOba3XBZVfHGPJi5ayALxs+vEIY9gqarKysiQFhZCff/4ZmzdvRmFhIcaPV27gPB5PwDKO4ySX84wfPx6jRo3yfS8sLER6erpKzbWTf7lCISVVZg9clgs+1opVYkgqRkTNTSMegqoF4YiFtY9NRJKJL0lOFS1K6InL0bovc10EHbXW2DGh8NFzr8qN0gsQeBrculbfD0IrlhxaLCxG66LG7tN10VS0TChepISI7/dWETZK35Wsh3JuUb3WMykLl1Os9QQ7toqaYcOG4YEHHlDcpl69epg6dSp++OEHeL3+s5S2adMGDz30EBYuXIiUlBT8+OOPfuvPnDmDkpKSAAuOEK/XG1CuEXjxwrpei8jRi9qDKWzk1TqW296ZgrWPTZQ/loTFRctQc6mhzcLvTgmWDTdY0xME4zhyVIibik6RtVMza+i2lnrznaWRgQXK9Yo23K5IlSG2rKjFV0n9HnpdnFLWNr/1IougGZCgcSe2iprExEQkJiaqbvfqq69i6tSpvu/Hjh1D9+7dsXjxYrRr1w4A0L59e0ybNg25ublITU0FUBE87PV60bp1a2tOQICamFHaLxjCRrEODG+N/DaLBmSj//tTAACLBmQrNly66iIjgG57p+KYFRYa48LGbsuMo92JorpZ0WGwwgto/vpLweS6lKg7L2i0jDBT6lDl1vvKFvymZlgB9Fh/5cpJqlws2RZJ1VFqhJiUhcTXrkgIEqMB4uL2Vlh3Tbm/SLiEHK6IqalTp47f96pVqwIArr76atSuXRsA0K1bNzRt2hQDBgzAjBkzcPr0aYwZMwZPPPGE7pFPcogbE72CRqo8sxoqzXVgDBwUYnWnLBYefAcXTEHC2uiZNSpFqWwrYjnUYl3sQE89hBYAObeT2jGVfhu5cmTzTckIBBYXnVZYXoxYLchK2/kEiczz92uhvEVcqTypusidT/7laJy4HIValUtU68ryrDjpvifMwRWihoXIyEisXLkSQ4cORceOHRETE4P+/ftj5syZppQv2UgZFDNSx3ACbnnItQxxNsPHbnRbvTFSASNSRB2jWPSwxLSIt2MdSaNaV5nnxIhI13QdJAQNf3z+dxLfL0mVCwM6bLXfRknAyD3HLMvF5Sh17kqY0ZZIucrl4pJYBJ2Wesq93J24HOX7W6tyiWrdnWoNdSPZ2dn417/+hREjRiAnJ8fu6sjiSlFTr149cBwXsLxOnTpYsWKFKcc4WRSNyuXRftaTYIoOqWPZ7abiWTQgGwCQpPPn0GpxuO2dKX/HSwRvZJKThZ2SODI60kVrOX77CO5ZKfcAj9ZgeTNm6b5ybIV5mBg7XikLrdTz6ucSEbQhSgJI6ApSOrZwG7nj60VOMIhdPL46aRQOeuu662wVv++8wOHrKnfPaYkZVEPvfex2fv75Z7z55pto2bKl3VVRxXXTJAQbp1hPgIq68B+pZVINoXCZVY2gXNAjv1y4XvhXvE4KpVgKM7F6hEkowHLv8ctZy7H6+QoUEdqmdZATK0bqrdYxCtfzHbdcfdQ6VvH+rMvl1kudu+Szz19f0fMt9bvJHUt4PH6/k5eifR85hOX53ZcSbY9cnaTOBaj4vYVC9WSRc/oHqzh//jweeughvPXWW6he3flJEl1pqSHUzbasb82G66FimmdZzq8Tv1Hxb+gVsTTWx9GQmKlAHOOl1vEaPY5VcWTCTkv6HOQsf2wdJgA/i4bQwsES98EjtrqIjyPX6QvPSWy1EC4Tr5Nz4SiJCzFa4njE1io115HWuoh/94B6MLhjZdeLrG2hYJ0pKSnxSzILKI8CzsjIQM+ePXHbbbf5DdhxKiRqVJBqLNyMls5I7SHWGyOiVB4f62Gmy8EtsLoc9TSuqtdSIWbMSlGsVq6eTkR4H0p1oGLXiZolQViW1DKtwoDfxowOkg+cZTm+Uv3l1gHSQkm8b63KJb7z0fIbsNSbR2ydOXkpGokx6seUc/kJ63vichSaVbsQsI1TKOY4HCkuM6Ec4OOPP0afPn38lk+aNAlZWVkB23/00UfYtm0bfv75Z8PHDhYkalSQe+AB9wseKZ+/3ShZeczKwio1XDlYSI10Y9leablSALs4PkPJ6uKUe0ALFWkFpNcxuUksvP5SlhvhOvG2gHJbwnfiWqxAamVJ1UULau4qqfNXalOV6im3noffjl8mPDaLFU3t95R6Zk8a+O3sol+/fpg7d67fMikrzZEjRzBixAisXr0alSu7ZzoIEjUMsJhKpbZhMbPajZmWG7MQWmnWPjZRU54UpVEZSsvU0GpFCMboFJaygmVlsQolix0fsM5jl/tQ3EHLCQYpISPu4KXK4hF27lKiQCrORNjRi8UBv72SaBDWU7if2j5GkLLIaNkv/6JX9veXclMJxaIQp7fdeomKimJKc7J161bk5+f75XkrKyvDN998g9dffx1FRUWIjIy0sqq6IFGjASWRomTNkXtbcwNyozOU/pcqg1UMiTsxzUOKLejYWKwl4YzYDSFcJrWd3Hcxmf8dLbsu5/5ZvmkyWJO1Gc3lwgLfsbJ2/FqsJHICR7hMSRDIiQMlwcOXy9eTJUBXKJbkzk9KULGKFxaEwcRKYlB4vaRQsoiduByFU5dDd6zNrbfeil9++cVv2aOPPoprr70WzzzzjCMFDUCihhk1M6uW/ZWEkVpH4ATk3v61dgpSAaL823f/98cHvInbQbgLFzW3gtp2cuuMuDx41IS01rKsQty5KgkeVuuJuBOWEjR6UYpdYd1Haj+ltkxv3fMvepEUW+T3XQ3xscRlCFGywleUE7p5cOLi4tC8eXO/ZVWqVEHNmjUDljsJEjUynLwcBW+Zv4kSUG9spNASFKcWya92nGALINbOQEv8SFLlYp+gsWPEgRtHOZgliFnvP5Z1LGJGqY4598+StdZk/nc0cu6fJblOzbKmlihP7rfUiprVRMk6orWTN9PKYSZSwka8Xg9CISInZPhtlI4hVQ7/XWzFEcfsEM6ERI0Mpy5HIbpU+eZlCWIzQwSJl7N2VMLtxS4C4TGkOrFgiiPWuA+5ob9miBCnxZ5oCbxU2l9KpKiN1jEjcFTrPmbdb2ZcN7lAVi1BqyxIba9kNVCzSsjtp7cuSuuFv8XJS9F+dRHXw2gMjtxvomSV4deJRYuaEJJaJxY54cyGDRvsroIqJGo0IPVg6hU2Zlp+1LYRvzlr2d+J7jC5hGiA+kggtXKcgNr1UXNlqlkGzXD9mI2e+yrzv6P9LHpSZUqVbcV1N6PDY+2khRwpLkN6dKRvnVqnzeKqEQsItXLFy5QEjhRiC4nSNnpQqh9r2Sx1JJwBiRoF1G5kOT+2ktlZvI/SiAUprBh5oNfNECy0jtAyoxy7YBU0WvZxC2IhrRQoLITluv52piLFvtKzo+Z2U9pXS6cn7vSF+7KIBjFiYaN2bLU6Sm2jp15C5NotYRlGhAsreo4RjHoR5kGixgS0WF1Y3ujE5YlHFWgJJrRi6KXR+A0nWHusRCkmQ0uODtZjSf3vdlgETUVMDZtQ5V8mhM+OWryHGmK3CyDdARqxQLB2qEJho4YWy4SZhIL7RqsVigg+JGpkOHHRi6i/fx1xwJnayAWz0OPakhJAVuWUCJZbQxzr4zRRpMV6EkrCw07kgoQB9uy0wnwmatuKLaxaOn3WbUPJIsCLLLUYITeTf9GLajQLuOMgUaMR/kE0KhSUgt+Ey1kC+JRyVgRL0BjdXyp4VcqqoSYggiF2SJjIIzeqR8t9yBrzpWWEktxztPtUHJJiiwJGtoiDYPnnXotFRM/2gDbrjNFjGUF8fLljS7nmzBQ0Uudt1m8R7N+UMA6JGkb0+n6VfO1qQxGNoiew2S60xoroGSFmNBFiOIgZLfeHVK4UqeXCclnLn9D7VUz7fLjkupz7Z6GWIGu73usiDH4Vx7Xwz6DWzlfYCZoxV4/cMViOb8ZxpMqSO76UyALAHO+jtW6s9WLdPz06kqlcEjnOhkSNTuSGV8qNEtArVMyOutdibnczLKJFzsIjlfnWTRi9fkpuViXLIeuwYKP1M/N6KMXEyHXC4s5auEz8v9z2cuUqbWOVSFJCeEy9nTnr+bMel1XQyIkRVlHGUreSUne70EIREjUyHC0pQ2S58sOodUSAET+82Xkg5FKuqwUjGxmKbjZq582al0VpuRsQ5wwR/hUivs5qWWjFv6/Zaeyl6mMFUhlk1WCxeGgVGXLbCy0EcgLAiBVCr5jQsk5r2WJBaLV1yyqOlrirvuEAiRqHoOVtRio5lJRIUeoo1OaJES5TcmPZLXLU5sMBjI22MlvsWNV56xEcWkbiWYFa2UouKC1onUJAq9vFKFYKCbPKkCwX+wAA6WjIvI8e8WJW/d0mmAh9kKhhwMpgMTP842IrjlQeHC0p2VmDle0coqn12E6wxOhxvwR7xJ2diH8XOUHDOize7OHzrBzBPk0dvWQZDuqAxeKFRcyY8RsQhB5I1AQZtcbKaGOmFtsj3lZtuCXLCC1A2WISLGsOq1hg2c4KCw3LOnG9WC1qRuvgFIT3ipSlZkLvVwEEzh8k5coycg21uESkOvBQ6dR5ASP+X+q78Hy1nruTRBzhbkjUMKLVTy03zNDIcbVYi1hTgWsdkaB1eys60mB3zqzWEi2iLZSFiZkMuW0e5q990vd92ufDMaH3qwHuT7OEn1LAr+T2DhEvSgJDajs1K4veOqSjoeIxSLwQVkOiRoa/8Cci4JV8MOWC3PjvcuuMoiSUrHKPaRl2LtzWjhgbliHsViRIVFqnJ4CbxVoT6iid77TPhyPn/lm+qQ/sRNyJy1k2rBI+cgJETeRI1U2vmJEr1ymCz0r+wp92V4EQEWF3BZyO0oMuN3QzWIgFVLCPrzRLsDAlvXCZHKydtpbt5LbVa1HhyxR+lLZVqwePME+KWh2ICqyMlUmPjtT0ksAiCswQDEY4gn2KAsju+hGEWZClRgdaxIwdIyaswgyrkJyrRmyNUApsloLFGiMXqMsSTK2EMP7IDAFCIsYfsQsKsOY3YnE9SblWWAWB2ZabcBMiekZbWUkwf/8SFJlyvBIUYcWKFRgzZgwAICMjAxkZGYbLdRIkalxGsMSMkoAxKm5YppqQyr2iF7mh6izL1GCd7kJuX6nvSkkdwxWxsJm/9kkMuW2eaeWzxtKY5aphjYEh5AOU6TfTR69evTBnzhy7q2EZJGpCDCOCQy4rp1xZFdt7/UZaSS0DAkdjSQkbsbVGagLBYHbuasJELfhaa52FkwDKlRnO4oYXMXoFjVsmUBTH6AiFFHXkVyBhSEhBoiaIBLOBkgpgZknBLjWMVc06JJzsT7xM7juP2PUjZ51Rs16wZMjVgpIFhmWZlvVm1Mvotm5CStBI/cZKaQ20BPEHw80gdQzWZW5Bq4XFinMlYRj6kKhhgFWMqK3Tsr0ZKI3M4tE9nws/fNPADLlmvznbEYuiNa290u/Cei20Chsg0MKjVxyxWK+C7T7Tmq7AbcOK3S5k+DaOtzxZOaxcuK94NJqetlbc9hPOh0QNI6wjG9QCCYP9YFg1SZ7f+am4reT+999XfiSVHHKdllWWDCURZsa8OOJZgoM9TJ91HystU1aLILcJmlBAnL9Gar1Zx2FZz/LyqScQnHAGJGosQu1BFm7HY1kuC4vmWVGzNMm5sJQSGV6Z2K+SbznLbOjC72LLghCl3DpirIjBUMo1JDWqTstkqiywiJNgxy0pLTezLkqjFuWeQ+rQzMGO35H1RVTKEkPX3b2QqNGBniGcWrZ3k8/X7GA9qU6cFymsHbJa3hejsKTNF+PXcBaz/0ZmJXDUOkO82cJGzi2ldz+WaUCESAkYObcCxV0EB6cIB7reoQWJGgcSDOuN22BxeYiFj55yhGiZ6kKLRU7r9VVy37HsC2h3ZVkhCs2wLrGUxXqN7EiWV1j8B+KjG1lSNqEfpwgswjiuyii8cuVKtGvXDjExMUhMTMQ999zjt/7w4cPo3bs3qlSpgsTERAwfPhzFxcbS9RcW/2Fof6O46WGTnOuFIVupWXEOZnbEcnFCktualF6e2QIokT2aXyb+hDP8b2pXxtzC4j8CPkrLtZRLOINzxfvtrgIhwjWWmk8//RRPPPEEpk+fjltuuQUcx+GXX37xrS8rK0PPnj1Rq1YtbNq0CadOncLAgQPBcRxee+01G2sefugx55o9TxbrMc3YxlAdFFwfWmKWDNVBh/Un2NeKBbkYmWAgtMDoER1GhA1ZfoIHWdqcjytETWlpKUaMGIEZM2bgscce8y1v3Lix7//Vq1dj9+7dOHLkCNLS0gAAs2bNwqBBgzBt2jTEx8frOnZ8dCPbb2Spzk28TCmOI1iwBtrJxQ4FY+SP+DiGy7Iol0bAMhNGV7Fux/Lb2zG5qtIxfMHWNlo27bKg8MelztZahJY2wrm4QtRs27YNR48eRUREBK6//nrk5eWhVatWmDlzJpo1awYA+P7779G8eXOfoAGA7t27o6ioCFu3bkXXrl0lyy4qKkJR0ZVAxMLCwoBtnCJsAP/cC3IjrPQm+LMylkdz0LTKEGe1TMessTBOJ1hiVda1xjBdhtpyLXmMWEbGSW3nJjetVYg7WxI55iK0xPH/l5cVIfTSW7obV4iaP/+smN49KysLs2fPRr169TBr1ix07twZe/fuRY0aNZCXl4fk5GS//apXr47o6Gjk5eXJlp2dnY3JkydbWn8rUWrM5WJcmIJTHTAiwMgs6HZbY6wUwVJWOrlrDWgXQVriiYyUxyI8xS4lKYul3Tj1zV1swSGLjvJzyfr7hPPv5wZsDRTOysqCx+NR/GzZsgXl5eUAgAkTJuDee+9F69atsWDBAng8Hvz3v//1lefxeAKOwXGc5HKe8ePHo6CgwPc5cuQIAP8AMCc1WnqHiQv/lwuclOowxNuaGXipJ5BTzWKgp/M1axSMXECoFdgZAGsFbrWkuQEr70MtdbDruOJjSwVqq9XP7t+PYMdWS82wYcPwwAMPKG5Tr149nDt3DgDQtGlT33Kv14sGDRrg8OHDAICUlBT8+OOPfvueOXMGJSUlARYcIV6vF16v9KgZsaq32wXFCuvQVS0pwIPReTKlT2dM6Kd2DKnlRtKhKzV6wXhj1jJFh90WOLMIFUEXbOTuVTe0baxICRmjZRDuwFZRk5iYiMTERNXtWrduDa/Xiz179qBTp04AgJKSEhw8eBB169YFALRv3x7Tpk1Dbm4uUlNTAVQED3u9XrRu3Vp3HaUejlB6+J3cMQQ7GaHVv4VcI2nWPaXFZehE96IalOnXWpQ6caP3pzguUe6e1zOqS/iSYIYQUXtOQ60PCDVcEVMTHx+PJ598EpMmTUJ6ejrq1q2LGTNmAADuv/9+AEC3bt3QtGlTDBgwADNmzMDp06cxZswYPPHEE7pHPslhlW9a+NColR/KD1a4ZHgVNp5K11xLQ8/sxjMhgJzlWHYHnPN1sDKZXjigJELEy5XuV6l7XumYfBlSz4cZ1hitiEdAcWUllh/TbubMmYMZM2YgNzcXzZo1Q05ODm666Sa7qyWLK0QNAMyYMQOVKlXCgAEDcOnSJbRr1w5ff/01qlevDgCIjIzEypUrMXToUHTs2BExMTHo378/Zs6caVmdzDbjit80WB/SUBY4PEatNm55sxd3CHINt5HrrZr/xkQRqXdEnRkTC4pnhTaTcBEzQssEyznLWbaN/F562kTCHBYvXozMzEzMmTMHHTt2xPz589GjRw/s3r0bderUsbt6kng4juPsroSTKCwsREJCArxNe8MTGaW7HK2mU6OEmqhR6wBZOuZgYUVDq5bIzerrbbWrxynXTg/UsRI8XFkJinZ/joKCAtM9AjzLly/HvQ88gRpNHzVc1qld72D5pwtx5513Mm3frl073HDDDZg7d65vWZMmTdCnTx9kZ2cbro8VuMZS4zaC3fDZmWFUbZik1UObQ9E9xWKat/I6B1NY2CFAQ+0lgCBYKSkpCcjHJjVgpri4GFu3bsW4ceP8lnfr1g2bN2+2vJ56IVFD6IYlJkRv58E6mkc4TN0O7Hxrl0vNb8eIPa1iQep6WV1X1hgmgnAaZVyRKW1NOVeMjz/+GH369PFbPmnSJGRlZfktO3nyJMrKygJGDycnJyvmfrMbEjUEMyzWIDMtRmbEVViNWSMu9MIa56DnWsh1/GrXmCWzrZF4Ma2CxEyxRK4nwu3069fPz50EQDatCRCY/00t95vdkKhxMcF6q9WznqVurJ2T04SMGKURGXYgVQfWerGIVaXlRo7Nb6sUT8RSD6nroXU4vROuI0FYQVRUFFP8T2JiIiIjIwOsMvn5+Yq53+yGRI0NGJnNV1yGFeipl576hKLp327LjRnYMVRWz/GlRtboEZgswdhuv6YEoZXo6Gi0bt0aa9asQd++fX3L16xZg7vvvtvGmilDosYiLu38FDEt75VcpsUc7oaG1Y3iRMki4MbzMQun3mNK8Nfr+JYXACDguTPzGG78fQhCL6NGjcKAAQPQpk0btG/fHm+++SYOHz6MJ5980u6qyUKixmSEHeKlnZ8GrBcuU2p8+TfQ41teQHKbcQFla4U1AVkoN9paLQBmHIMIDsLfXeqFQm+Z4SxwnYzUyx5r20qw889//hOnTp3ClClTkJubi+bNm+OLL77wZfJ3IiRqNKDUWOqxqKg9hPx6obDRgtR+/NusHHoaA6tHkrCM8mEpQ+sxhVDn5jzioxshHQ2xZcvjlh2DRKqzkHsOxS+QZglbAhg6dCiGDh1qdzWYIVHDCP/QSFlfzCw/puW9kscQihEtQoUXNkewT1XQCOshhLVxMCo4tAaISi2zKuhTTeRQ5xdceEvmlp3q9zThfqSeazXrMwmb8IREjQJWCRijx2QRJ0a2F6PHrKsnE64V4sMqSMTYB38P2fF8Es5CrW0TviwS4QGJGhnyv//A7io4EqNvPyQGCCMIRXFym3GGBTvhDgqL/zAkYln3JfHjfkjUEJoRvv2QG4YgCDMQu595F2MwLXJaLDvx0Y1QcGm31VUiNEKihtCNWmNDbz2E2bAEpdN9Zy5mD2ePj26E41teUBx0YbcFjtXlnv/9B0hISAhGlQhGSNQQlkFDLAkzEL6x8/cRWQStQ04wCsUN62hPYXJEqRFKwBWLr1OH0AvvO+FvcHzLCwETQxL2Q6KGCAoUsEfoRcoFQUHC2tErGMSpIbROWqtmeRHH6dltpVEi2O4wQjskaoigQsMs3Y+RyTGNwtKh0D12BbkUDUKhIZdGQoiS0JDLoaVFnDhdKDi9fsQVSNQQQUfslqJOyPkYdQtojcvgt7c6uZ7bkHP7aOl0zbZ6OdmyQoQfJGoIW5FKakgCxzmYHePAMuGnE+MqnIB4jiuCIAIhUUM4Dl7g8GZtCgoNLlaLCi1WG7LSVECChiDYIFFDOBYSM/pgmSpCTrhI/eZyHame+cjUELqdAKBNm7dJ2IACVAmCFRI1BOFSrLCoaCmTzzWiJqJY1xcW/+Eb1nsE+wwJm1CJ0yIhQxDaIFFDOJJQ6JCsQK+QEcayaC1DaXQMSwJG1olHxS4W3hKUjoaap0Rw6/1DIoaQhOPMKsikcpwLiRrCMbi1I7ICqbgTYaevx/VjRBDpRS0AXChgxKIl3OJHSNAQUrRu3Rpc8XmUnN4NT+UqusvhLp8HV3wBO3bswJgxYwAAGRkZyMjIMKuqjsDDcaZJwJCgsLAQCQkJKCgoQHx8vN3VCRtI0PijJCSEnT0vbsTiwOx4F7MFBktuFKPluw0SNe4jWP1FRPVUcJfPIzLtGng8Hs37cxyHsqN74ImNR/npYxbU0DmQqBFBoib4uLEDMhtWa4iZ4kIuHsbq41qNG+4nEjChQbD6i8LCQiRUr4mIpLqIqFJN8/7l58+g/ORhnDt7BlWrVjW/gg6C3E+EbfDWBLMnzHMbdg3XlQqmpRwx1kG/LaGX+Ph4vP5qDoaNHANPbIImaw3HcSg/fRTz57wR8oIGIEtNAGSpCR5iF4mdokatw7Gqbk54Y+eFjRPqYiZOsdiI7y0anh06BLO/KCkpQXSVOEQkJCMioRbzfuUF+SgvOIGSi+dQqVLo2zFC/wwJx+Imy4xUx6S0rdzMxE7EDXXUgxOyVIvvGze58QhnERUVhSWL/4N77u8HT1wNeCIiVffhyspQfjoXy5ctCQtBA5CoIRyGXa4oPj8KK1Jz8AiXhapQcCvBniWeXE2EFfTp0weI8qL87HFE1khT3b78bB4QXRm9evWyvnIOgUQNYRtS8wDZab1RSxgnh3BbehN3NsEQN2SdIazC4/Fg89dr0KFjJ3DxifBUipbdlistBldwHD//9JOuEVNuhWJqRFBMTXCRG3qsJ62/2VYeuWPKZdKlzst9WCFuaJ6m8MGu/iKianUgohIik+rKblOWfxDgylF+7nTQ6uUEyFJD2IrY7aMWRCkWQUqZadWOK7efnCtK2EmReyk0MNtyQ/cFEQz27vgZja65Bly1JHiiYwLWc0UXwZ0/jT/377ehdvbiGkvN3r178fTTT+O7775DcXExWrRogalTp6Jr166+bQ4fPoyMjAx8/fXXiImJQf/+/TFz5kxER8ub6MSQpSb4mD36xoqJFumtOzzRInZI0IQfdvYXEdWSgZIiRKY2DFhXduwPILoyys8eD2qdnIBrLDU9e/bENddc4xMsOTk56NWrF/bv34+UlBSUlZWhZ8+eqFWrFjZt2oRTp05h4MCB4DgOr732mt3VJxQwuzNgESBqwodEDAGQUCGcS/6+XaiVnILyS+cQERPnW15+sRBc0QWc+uuAjbWzD1dYak6ePIlatWrhm2++wU033QQAOHfuHOLj47F27Vrceuut+PLLL9GrVy8cOXIEaWkVUeEfffQRBg0ahPz8fGYVTZYagiAIggW7+4vImrVRfv4MImtfC4/HUzEdwl+/ISKuJspOHgl6fZxAhN0VYKFmzZpo0qQJ/v3vf+PChQsoLS3F/PnzkZycjNatWwMAvv/+ezRv3twnaACge/fuKCoqwtatW2XLLioqQmFhod+HIAiCIJzO+b/+AMpLwJ0/AwDgzp0Gystw8eg+m2tmH64QNR6PB2vWrMH27dsRFxeHypUr4+WXX8aqVatQrVo1AEBeXh6Sk5P99qtevTqio6ORl5cnW3Z2djYSEhJ8n/T0dCtPhSAIgiBMISYmBv9+9x2Unz4KrqwU5aePYtG/34PX67W7arZhq6jJysqCx+NR/GzZsgUcx2Ho0KFISkrCt99+i59++gl33303evXqhdzcXF95UmPxOY5THKM/fvx4FBQU+D5HjoSnyY4gCIJwHw899BAQEYmyY3uASlH45z//aXeVbMXWQOFhw4bhgQceUNymXr16+Prrr7FixQqcOXPG57ecM2cO1qxZg4ULF2LcuHFISUnBjz/+6LfvmTNnUFJSEmDBEeL1ev1ULR9iRG4ogiAIQgm+n7AzNDUiIgJrVi7H7bffjvXr1yMiwhUOGMuwVdQkJiYiMTFRdbuLFy8CQMDFioiIQHl5OQCgffv2mDZtGnJzc5GamgoAWL16Nbxery/uhoVz584BALmhCIIgCCbOnTuHhIQE245/22232SqsnIRrRj9de+216Ny5MyZOnIiYmBi89dZbeOWVV/Dzzz/juuuuQ1lZGVq1aoXk5GTMmDEDp0+fxqBBg9CnTx9NQ7rLy8tx7NgxxMXF2ZZaurCwEOnp6Thy5EjIjcCic3MndG7uhM7NWjiOw7lz55CWlhb2FhKn4Io8NYmJiVi1ahUmTJiAW265BSUlJWjWrBk+++wzXHfddQCAyMhIrFy5EkOHDkXHjh39ku9pISIiArVr17biNDQTHx8fcg0RD52bO6Fzcyd0btZhp4WGCMQVogYA2rRpg6+++kpxmzp16mDFihVBqhFBEARBEE6C7GUEQRAEQYQEJGociNfrxaRJk0Iy1wCdmzuhc3MndG5EuOGKQGGCIAiCIAg1yFJDEARBEERIQKKGIAiCIIiQgEQNQRAEQRAhAYkagiAIgiBCAhI1NnHw4EE89thjqF+/PmJiYnD11Vdj0qRJKC4u9ttOapLPefPm+W3zyy+/oHPnzoiJicFVV12FKVOm2Joym/XcDh8+jN69e6NKlSpITEzE8OHDA7Zx2rkBwLRp09ChQwfExsb6ZokX48brBrCdm1uvmxT16tULuE7jxo3z24blfJ3KnDlzUL9+fVSuXBmtW7fGt99+a3eVNCM18XFKSopvPcdxyMrKQlpaGmJiYtClSxfs2rXLxhoTduKa5Huhxu+//47y8nLMnz8fDRs2xK+//oonnngCFy5cCMiCvGDBAtxxxx2+78IMloWFhbj99tvRtWtX/Pzzz9i7dy8GDRqEKlWqYPTo0UE7HyEs51ZWVoaePXuiVq1a2LRpE06dOoWBAweC4zjftBZOPDcAKC4uxv3334/27dvjnXfekd3ObdcNUD83N183OaZMmYInnnjC971q1aq+/1nO16ksXrwYmZmZmDNnDjp27Ij58+ejR48e2L17N+rUqWN39TTRrFkzrF271vc9MjLS9/9LL72E2bNn47333sM111yDqVOn4vbbb8eePXsQFxdnR3UJO+EIx/DSSy9x9evX91sGgFu6dKnsPnPmzOESEhK4y5cv+5ZlZ2dzaWlpXHl5uVVV1Yz43L744gsuIiKCO3r0qG/Zf/7zH87r9XIFBQUcxzn/3BYsWMAlJCRIrnP7dZM7t1C4bkLq1q3Lvfzyy7LrWc7XqfzjH//gnnzySb9l1157LTdu3DibaqSPSZMmcdddd53kuvLyci4lJYV74YUXfMsuX77MJSQkcPPmzQtSDQknQe4nB1FQUIAaNWoELB82bBgSExPRtm1bzJs3zzczOQB8//336Ny5s18Cqu7du+PYsWM4ePBgMKrNhPjcvv/+ezRv3hxpaWm+Zd27d0dRURG2bt3q28YN5yZHKFw3MaF43V588UXUrFkTrVq1wrRp0/xcSyzn60SKi4uxdetWdOvWzW95t27dsHnzZptqpZ8//vgDaWlpqF+/Ph544AH8+eefAIADBw4gLy/P7zy9Xi86d+7syvMkjEPuJ4ewf/9+vPbaa5g1a5bf8ueffx633norYmJisG7dOowePRonT57Es88+CwDIy8tDvXr1/PZJTk72ratfv35Q6q+E1Lnl5eX56slTvXp1REdHIy8vz7eN089NjlC4blKE2nUbMWIEbrjhBlSvXh0//fQTxo8fjwMHDuDtt98GwHa+TuTkyZMoKysLqHtycrKj6y1Fu3bt8O9//xvXXHMNjh8/jqlTp6JDhw7YtWuX71ykzvPQoUN2VJewGbLUmIxUUJv4s2XLFr99jh07hjvuuAP3338/Hn/8cb91zz77LNq3b49WrVph9OjRmDJlCmbMmOG3jcfj8fvO/R2QKV7utHOTqh/HcX7LnXxuSrj9uinhpOsmhZbzHTlyJDp37oyWLVvi8ccfx7x58/DOO+/g1KlTsufCn08wzsUoUtfBDfUW0qNHD9x7771o0aIFbrvtNqxcuRIAsHDhQt82oXCehDmQpcZkhg0bhgceeEBxG+Fb7LFjx9C1a1e0b98eb775pmr5N954IwoLC3H8+HEkJycjJSUl4M0rPz8fQODbi1HMPLeUlBT8+OOPfsvOnDmDkpISX72dfG5acdN1U8Jp100KI+d74403AgD27duHmjVrMp2vE0lMTERkZKTkdXByvVmoUqUKWrRogT/++AN9+vQBUGFRS01N9W0TCudJ6MS2aB6C++uvv7hGjRpxDzzwAFdaWsq0z2uvvcZVrlzZF4Q5Z84crlq1alxRUZFvmxdeeMH2oEy1c+MDMI8dO+Zb9tFHHwUEnDrx3HiUAoXFuOW68agFCrv5uinx+eefcwC4Q4cOcRzHdr5O5R//+Af3//7f//Nb1qRJE9cFCou5fPkyd9VVV3GTJ0/2BQq/+OKLvvVFRUUUKBzGkKixiaNHj3INGzbkbrnlFu6vv/7icnNzfR+e5cuXc2+++Sb3yy+/cPv27ePeeustLj4+nhs+fLhvm7Nnz3LJycncgw8+yP3yyy/ckiVLuPj4eG7mzJl2nBbHcWznVlpayjVv3py79dZbuW3btnFr167lateuzQ0bNsy3jRPPjeM47tChQ9z27du5yZMnc1WrVuW2b9/Obd++nTt37hzHce69bhynfm5uvm5iNm/ezM2ePZvbvn079+eff3KLFy/m0tLSuLvuusu3Dcv5OpWPPvqIi4qK4t555x1u9+7dXGZmJlelShXu4MGDdldNE6NHj+Y2bNjA/fnnn9wPP/zA9erVi4uLi/OdxwsvvMAlJCRwS5Ys4X755RfuwQcf5FJTU7nCwkKba07YAYkam1iwYAEHQPLD8+WXX3KtWrXiqlatysXGxnLNmzfncnJyuJKSEr+ydu7cyd10002c1+vlUlJSuKysLFvfiFnOjeMqOtCePXtyMTExXI0aNbhhw4b5DQPmOOedG8dx3MCBAyXPbf369RzHufe6cZz6uXGce6+bmK1bt3Lt2rXjEhISuMqVK3ONGzfmJk2axF24cMFvO5bzdSpvvPEGV7duXS46Opq74YYbuI0bN9pdJc3885//5FJTU7moqCguLS2Nu+eee7hdu3b51peXl3OTJk3iUlJSOK/Xy918883cL7/8YmONCTvxcJwD03wSBEEQBEFohEY/EQRBEAQREpCoIQiCIAgiJCBRQxAEQRBESECihiAIgiCIkIBEDUEQBEEQIQGJGoIgCIIgQgISNQRBEARBhAQkagjCRXTp0gWZmZkhc8xBgwb55u8hCIIwCk1oSRCEIkuWLEFUVJTve7169ZCZmRl0cUUQBKEGiRqCIBSpUaOG3VUgCIJggtxPBOFSzpw5g0ceeQTVq1dHbGwsevTogT/++MO3/r333kO1atXw1VdfoUmTJqhatSruuOMO5Obm+rYpLS3F8OHDUa1aNdSsWRPPPPMMBg4c6OcSErqfunTpgkOHDmHkyJHweDzweDwAgKysLLRq1cqvfjk5OahXr57ve1lZGUaNGuU71tixYyGepYXjOLz00kto0KABYmJicN111+GTTz4x5wcjCCLkIVFDEC5l0KBB2LJlC5YvX47vv/8eHMfhzjvvRElJiW+bixcvYubMmXj//ffxzTff4PDhwxgzZoxv/YsvvogPP/wQCxYswHfffYfCwkIsW7ZM9phLlixB7dq1MWXKFOTm5voJJDVmzZqFd999F++88w42bdqE06dPY+nSpX7bPPvss1iwYAHmzp2LXbt2YeTIkXj44YexceNG9h+GIIiwhdxPBOFC/vjjDyxfvhzfffcdOnToAAD48MMPkZ6ejmXLluH+++8HAJSUlGDevHm4+uqrAQDDhg3DlClTfOW89tprGD9+PPr27QsAeP311/HFF1/IHrdGjRqIjIxEXFwcUlJSNNU5JycH48ePx7333gsAmDdvHr766ivf+gsXLmD27Nn4+uuv0b59ewBAgwYNsGnTJsyfPx+dO3fWdDyCIMIPEjUE4UJ+++03VKpUCe3atfMtq1mzJho3bozffvvNtyw2NtYnaAAgNTUV+fn5AICCggIcP34c//jHP3zrIyMj0bp1a5SXl5ta34KCAuTm5vrECgBUqlQJbdq08bmgdu/ejcuXL+P222/327e4uBjXX3+9qfUhCCI0IVFDEC5EHIsiXM7HuQDwG7UEAB6PJ2Bf4fZKZSsRERERsJ/QDcYCL6RWrlyJq666ym+d1+vVXCeCIMIPiqkhCBfStGlTlJaW4scff/QtO3XqFPbu3YsmTZowlZGQkIDk5GT89NNPvmVlZWXYvn274n7R0dEoKyvzW1arVi3k5eX5CZsdO3b4HSs1NRU//PCDb1lpaSm2bt3qd05erxeHDx9Gw4YN/T7p6elM50QQRHhDlhqCcCGNGjXC3XffjSeeeALz589HXFwcxo0bh6uuugp33303czlPPfUUsrOz0bBhQ1x77bV47bXXcObMmQDrjZB69erhm2++wQMPPACv14vExER06dIFJ06cwEsvvYT77rsPq1atwpdffon4+HjffiNGjMALL7yARo0aoUmTJpg9ezbOnj3rWx8XF4cxY8Zg5MiRKC8vR6dOnVBYWIjNmzejatWqGDhwoK7fiiCI8IEsNQThUhYsWIDWrVujV69eaN++PTiOwxdffBHgclLimWeewYMPPohHHnkE7du3R9WqVdG9e3dUrlxZdp8pU6bg4MGDuPrqq1GrVi0AQJMmTTBnzhy88cYbuO666/DTTz/5jbICgNGjR+ORRx7BoEGD0L59e8TFxfkClHmef/55TJw4EdnZ2WjSpAm6d++Ozz//HPXr19fwyxAEEa54OD0OdIIgQpLy8nI0adIE/fr1w/PPP293dQiCIDRB7ieCCGMOHTqE1atXo3PnzigqKsLrr7+OAwcOoH///nZXjSAIQjPkfiKIMCYiIgLvvfce2rZti44dO+KXX37B2rVrmYONCYIgnAS5nwiCIAiCCAnIUkMQBEEQREhAooYgCIIgiJCARA1BEARBECEBiRqCIAiCIEICEjUEQRAEQYQEJGoIgiAIgggJSNQQBEEQBBESkKghCIIgCCIkIFFDEARBEERI8P8BE8YUuCKKamgAAAAASUVORK5CYII=", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "temp_C = temp - 273.15 # convert from Kelvin to Celsius\n", "temp_C.plot.contourf(levels=np.arange(-2, 32, 2), cmap=cm.cm.thermal)\n", "\n", "plt.ylabel('latitude')\n", "plt.xlabel('longitude')\n", "plt.title('Surface Temperature')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 2.2 Slicing and dicing\n", "\n", "There are two different ways of subselecting from a DataArray: `isel` and `sel`. The first of these two is selecting by index (the `i` stands for index). This means we specify the value of the index of the array. For the latter, we can specify the _value_ of the coordinate we want to select.\n", "\n", "These two methods are demonstrated in the following example:" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/g/data/xp65/public/apps/med_conda/envs/analysis3-25.09/lib/python3.11/site-packages/intake_esm/core.py:321: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n", " records = grouped.get_group(internal_key).to_dict(orient='records')\n" ] }, { "data": { "text/html": [ "
\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
<xarray.Dataset> Size: 123GB\n",
       "Dimensions:    (time: 396, st_ocean: 50, yt_ocean: 1080, xt_ocean: 1440)\n",
       "Coordinates:\n",
       "  * xt_ocean   (xt_ocean) float64 12kB -279.9 -279.6 -279.4 ... 79.62 79.88\n",
       "  * yt_ocean   (yt_ocean) float64 9kB -81.08 -80.97 -80.87 ... 89.74 89.84 89.95\n",
       "  * st_ocean   (st_ocean) float64 400B 1.152 3.649 6.565 ... 5.034e+03 5.254e+03\n",
       "  * time       (time) object 3kB 1904-07-02 12:00:00 ... 2299-07-02 12:00:00\n",
       "Data variables:\n",
       "    pot_rho_0  (time, st_ocean, yt_ocean, xt_ocean) float32 123GB dask.array<chunksize=(1, 10, 216, 288), meta=np.ndarray>\n",
       "Attributes: (12/16)\n",
       "    filename:                                 ocean.nc\n",
       "    title:                                    ACCESS-OM2-025\n",
       "    grid_type:                                mosaic\n",
       "    grid_tile:                                1\n",
       "    intake_esm_vars:                          ['pot_rho_0']\n",
       "    intake_esm_attrs:filename:                ocean.nc\n",
       "    ...                                       ...\n",
       "    intake_esm_attrs:variable_standard_name:  sea_water_age_since_surface_con...\n",
       "    intake_esm_attrs:variable_cell_methods:   time: mean,,,,time: mean,,,,tim...\n",
       "    intake_esm_attrs:variable_units:          yr,days,days since 1900-01-01 0...\n",
       "    intake_esm_attrs:realm:                   ocean\n",
       "    intake_esm_attrs:_data_format_:           netcdf\n",
       "    intake_esm_dataset_key:                   ocean.1yr.grid_xt_ocean:1440.gr...
" ], "text/plain": [ " Size: 123GB\n", "Dimensions: (time: 396, st_ocean: 50, yt_ocean: 1080, xt_ocean: 1440)\n", "Coordinates:\n", " * xt_ocean (xt_ocean) float64 12kB -279.9 -279.6 -279.4 ... 79.62 79.88\n", " * yt_ocean (yt_ocean) float64 9kB -81.08 -80.97 -80.87 ... 89.74 89.84 89.95\n", " * st_ocean (st_ocean) float64 400B 1.152 3.649 6.565 ... 5.034e+03 5.254e+03\n", " * time (time) object 3kB 1904-07-02 12:00:00 ... 2299-07-02 12:00:00\n", "Data variables:\n", " pot_rho_0 (time, st_ocean, yt_ocean, xt_ocean) float32 123GB dask.array\n", "Attributes: (12/16)\n", " filename: ocean.nc\n", " title: ACCESS-OM2-025\n", " grid_type: mosaic\n", " grid_tile: 1\n", " intake_esm_vars: ['pot_rho_0']\n", " intake_esm_attrs:filename: ocean.nc\n", " ... ...\n", " intake_esm_attrs:variable_standard_name: sea_water_age_since_surface_con...\n", " intake_esm_attrs:variable_cell_methods: time: mean,,,,time: mean,,,,tim...\n", " intake_esm_attrs:variable_units: yr,days,days since 1900-01-01 0...\n", " intake_esm_attrs:realm: ocean\n", " intake_esm_attrs:_data_format_: netcdf\n", " intake_esm_dataset_key: ocean.1yr.grid_xt_ocean:1440.gr..." ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "experiment = '025deg_jra55_ryf9091_gadi'\n", "variable = 'pot_rho_0' # potential density referenced to the surface\n", "\n", "ds = catalog[experiment].search(variable=variable, frequency='1yr').to_dask(xarray_open_kwargs=dict(use_cftime=True))\n", "ds" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In the above example, a 600-year dataset is loaded. You can see that potential density is a four dimensional dataset, with time, latitude, longitude and depth coordinates. The depth coordinate is called `st_ocean`. \n", "\n", "We will use `isel` to select the 201st year (time index of 200) and then we can plot a certain depth level, like 1000, using `.sel`. Note that we add a `method='nearest'`, because `.sel` requires the *exact* value - specifying the method allows us to select the level that is closest to 1000. " ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "rho = ds[variable].isel(time=200).sel(st_ocean=1000, method='nearest')\n", "rho.plot(vmin=1026, vmax=1028)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In addition, both `.sel` and `.isel` methods allow us to slice a range of values:" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "rho = ds[variable].isel(time=200).sel(st_ocean=1000, method='nearest').sel(xt_ocean=slice(-230, -180),\n", " yt_ocean=slice(-50, -20))\n", "rho.plot(vmin=1027, vmax=1027.5)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Above, we have sliced out a small region of interest for our plot." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 2.3 Averaging along dimensions\n", "\n", "We often perform operations such as averaging on dataarrays. Again, knowledge of the coordinates can be a big help here, as you can instruct the `mean()` method to operate along given coordinates. The case below takes a temporal and zonal average of potential density.\n", "\n", "#### IMPORTANT\n", "To be precise, it is actually a numerical mean (in this case in the $i$-grid direction), which (a) doesn't account for the size of grid-cells and (b) is only zonal outside the tripolar region in the Arctic, i.e., *south of 65N* in the ACCESS-OM2 models. \n", "\n", "Issue (a) is not a problem for this particular case because the zonal length of cells is the same everywhere. However if you want to calculate a mean in the meridional dimension, or in depth, grid sizes are variable and you will need use these sizes as weights.\n", "\n", "To address (b) and compute the zonal mean correctly one needs to be a bit more careful; see [`02-Easy-Recipes/True_Zonal_Mean.ipynb`](https://cosima-recipes.readthedocs.io/en/latest/02-Easy-Recipes/True_Zonal_Mean.html)." ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/g/data/xp65/public/apps/med_conda/envs/analysis3-25.09/lib/python3.11/site-packages/intake_esm/core.py:321: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n", " records = grouped.get_group(internal_key).to_dict(orient='records')\n" ] }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "experiment = '1deg_jra55_iaf_omip2_cycle6'\n", "variable = 'temp'\n", "\n", "ds = catalog[experiment].search(variable=variable, frequency='1mon').to_dask(xarray_open_kwargs = dict(use_cftime=True))\n", "ds[variable].mean(['time', 'xt_ocean']).plot(cmap=cm.cm.thermal)\n", "plt.gca().invert_yaxis()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 2.4 Resampling\n", "\n", "`xarray` uses `datetime` conventions to allow for operations such as resampling in time. This resampling is simple and powerful. Here is an example of re-plotting a monthly timeseries with annual averaging:" ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/g/data/xp65/public/apps/med_conda/envs/analysis3-25.09/lib/python3.11/site-packages/intake_esm/core.py:321: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n", " records = grouped.get_group(internal_key).to_dict(orient='records')\n" ] }, { "data": { "text/plain": [ "" ] }, "execution_count": 21, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "experiment = '1deg_jra55_iaf_omip2_cycle6'\n", "variable = 'temp_global_ave'\n", "\n", "ds = catalog[experiment].search(variable=variable, frequency='1mon').to_dask(xarray_open_kwargs = dict(use_cftime=True))\n", "ds[variable].plot(color='c', label='monthly')\n", "\n", "meandata = ds[variable].resample(time='YE').mean(dim='time')\n", "meandata.plot(color='r', label='annual average')\n", "\n", "plt.legend()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 2.5 Exercises\n", "\n", " * Pick an experiment and plot a map of the temperature of the upper 100m of the ocean for one year." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "metadata": {}, "source": [ " * Now, take the same experiment and construct a timeseries of spatially averaged (regional or global) upper 700m temperature, resampled every 3 years." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [], "source": [ "client.close()" ] } ], "metadata": { "kernelspec": { "display_name": "Python [conda env:analysis3-25.09]", "language": "python", "name": "conda-env-analysis3-25.09-py" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.11.13" }, "thumbnail_figure": "assets/cookbook.png" }, "nbformat": 4, "nbformat_minor": 4 }