{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# ACCESS-NRI Intake catalog for loading model output" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This tutorial demonstrates how to use the ACCESS-NRI Intake catalog to load model or other output.\n", "\n", "⚠️ **Membership to project `xp65` is required to access the ACCESS-NRI Intake catalog** ⚠️\n", "\n", "This is a concise version of the longer [ACCESS-NRI Intake catalog documentation](https://access-nri-intake-catalog.readthedocs.io/) and related [COSIMA training workshop](https://github.com/ACCESS-Hive/cosima-training-workshop-2023/blob/main/Intake.ipynb). Users are encouraged to refer to these for more detail and demonstrations.\n", "\n", "Requirements: The `conda/analysis3` module from `/g/data/xp65/public/modules`." ] }, { "cell_type": "markdown", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "# Start a dask Client\n", "\n", "This is not specific to using the ACCESS-NRI Intake catalog, but it's useful!" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/g/data/xp65/public/apps/med_conda/envs/analysis3-25.09/lib/python3.11/site-packages/distributed/node.py:187: UserWarning: Port 8787 is already in use.\n", "Perhaps you already have a cluster running?\n", "Hosting the HTTP server on port 45801 instead\n", " warnings.warn(\n" ] }, { "data": { "text/html": [ "
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Client

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Client-b71d431f-bf7b-11f0-9c1e-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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889fc610

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Status: runningUsing processes: True
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Scheduler Info

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Scheduler

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Scheduler-84064fd5-e889-44ae-8400-067b8da2ec02

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\n", " Comm: tcp://127.0.0.1:38193\n", " \n", " Workers: 0 \n", "
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Workers

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Worker: 0

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\n", " Comm: tcp://127.0.0.1:33173\n", " \n", " Total threads: 1\n", "
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\n", " Nanny: tcp://127.0.0.1:33577\n", "
\n", " Local directory: /jobfs/154337789.gadi-pbs/dask-scratch-space/worker-1weddm88\n", "
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Worker: 1

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\n", " Comm: tcp://127.0.0.1:45105\n", " \n", " Total threads: 1\n", "
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\n", " Nanny: tcp://127.0.0.1:46439\n", "
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Worker: 2

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\n", " Comm: tcp://127.0.0.1:35663\n", " \n", " Total threads: 1\n", "
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\n", " Nanny: tcp://127.0.0.1:42247\n", "
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Worker: 3

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\n", " Comm: tcp://127.0.0.1:36933\n", " \n", " Total threads: 1\n", "
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\n", " Nanny: tcp://127.0.0.1:42319\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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\n", " Nanny: tcp://127.0.0.1:46803\n", "
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Worker: 19

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\n", " Comm: tcp://127.0.0.1:35293\n", " \n", " Total threads: 1\n", "
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\n", " Nanny: tcp://127.0.0.1:36533\n", "
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Worker: 20

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\n", " Comm: tcp://127.0.0.1:38313\n", " \n", " Total threads: 1\n", "
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\n", " Nanny: tcp://127.0.0.1:39083\n", "
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Worker: 21

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\n", " Comm: tcp://127.0.0.1:43683\n", " \n", " Total threads: 1\n", "
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\n", " Nanny: tcp://127.0.0.1:35999\n", "
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Worker: 22

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\n", " Comm: tcp://127.0.0.1:44665\n", " \n", " Total threads: 1\n", "
\n", " Dashboard: /proxy/45051/status\n", " \n", " Memory: 4.50 GiB\n", "
\n", " Nanny: tcp://127.0.0.1:33739\n", "
\n", " Local directory: /jobfs/154337789.gadi-pbs/dask-scratch-space/worker-fducyvzq\n", "
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Worker: 23

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\n", " Comm: tcp://127.0.0.1:41871\n", " \n", " Total threads: 1\n", "
\n", " Dashboard: /proxy/34725/status\n", " \n", " Memory: 4.50 GiB\n", "
\n", " Nanny: tcp://127.0.0.1:42963\n", "
\n", " Local directory: /jobfs/154337789.gadi-pbs/dask-scratch-space/worker-d3vh_1ny\n", "
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Worker: 24

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\n", " Comm: tcp://127.0.0.1:37465\n", " \n", " Total threads: 1\n", "
\n", " Dashboard: /proxy/44927/status\n", " \n", " Memory: 4.50 GiB\n", "
\n", " Nanny: tcp://127.0.0.1:40001\n", "
\n", " Local directory: /jobfs/154337789.gadi-pbs/dask-scratch-space/worker-pmy5fmwp\n", "
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Worker: 25

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\n", " Comm: tcp://127.0.0.1:46519\n", " \n", " Total threads: 1\n", "
\n", " Dashboard: /proxy/37109/status\n", " \n", " Memory: 4.50 GiB\n", "
\n", " Nanny: tcp://127.0.0.1:41163\n", "
\n", " Local directory: /jobfs/154337789.gadi-pbs/dask-scratch-space/worker-xz08ckzm\n", "
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Worker: 26

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\n", " Comm: tcp://127.0.0.1:46753\n", " \n", " Total threads: 1\n", "
\n", " Dashboard: /proxy/43445/status\n", " \n", " Memory: 4.50 GiB\n", "
\n", " Nanny: tcp://127.0.0.1:40183\n", "
\n", " Local directory: /jobfs/154337789.gadi-pbs/dask-scratch-space/worker-7xvvk2h5\n", "
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Worker: 27

\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", " \n", "\n", " \n", "\n", "
\n", " Comm: tcp://127.0.0.1:38773\n", " \n", " Total threads: 1\n", "
\n", " Dashboard: /proxy/33829/status\n", " \n", " Memory: 4.50 GiB\n", "
\n", " Nanny: tcp://127.0.0.1:44655\n", "
\n", " Local directory: /jobfs/154337789.gadi-pbs/dask-scratch-space/worker-cbzzfoiw\n", "
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" ], "text/plain": [ "" ] }, "execution_count": 1, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from dask.distributed import Client\n", "\n", "client = Client(threads_per_worker=1)\n", "client" ] }, { "cell_type": "markdown", "metadata": { "editable": true, "execution": { "iopub.execute_input": "2023-10-17T05:08:26.798834Z", "iopub.status.busy": "2023-10-17T05:08:26.797949Z", "iopub.status.idle": "2023-10-17T05:08:26.815228Z", "shell.execute_reply": "2023-10-17T05:08:26.813996Z", "shell.execute_reply.started": "2023-10-17T05:08:26.798785Z" }, "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "# Opening and searching the catalog" ] }, { "cell_type": "markdown", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "To use the ACCESS-NRI Intake catalog, we need to import `intake`" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "outputs": [], "source": [ "import intake" ] }, { "cell_type": "markdown", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "We can open the catalog as follows" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "outputs": [], "source": [ "catalog = intake.cat.access_nri" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The returned object `catalog` is an instance of the ACCESS-NRI Intake catalog that we can use to find and load data." ] }, { "cell_type": "markdown", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "Printing the `catalog` object will return a dataframe of experiments that you can browse:" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "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}{fx, 1mon}{HTN, st_ocean, nv, mlt_onset_m, grid_yu_ocean, mld, total_ocean_lw_heat, grid_xt_ocean, dzt, tx_trans_nrho_submeso, mass_pmepr_on_nrho, pme_net, kmt, sens_heat, sw_heat_on_nrho, potrho, total_oce...
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}{fx, 1mon}{HTN, st_ocean, nv, mlt_onset_m, grid_yu_ocean, mld, total_ocean_lw_heat, grid_xt_ocean, dzt, pme_net, kmt, sens_heat, potrho, total_ocean_swflx_vis, total_ocean_melt, sfc_hflux_from_runoff, salt_...
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}{fx, 1mon}{HTN, st_ocean, nv, mlt_onset_m, grid_yu_ocean, mld, total_ocean_lw_heat, grid_xt_ocean, dzt, pme_net, kmt, sens_heat, potrho, total_ocean_swflx_vis, total_ocean_melt, sfc_hflux_from_runoff, salt_...
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}{3mon, 3hr, 1day, fx, 1mon}{HTN, st_ocean, nv, mlt_onset_m, mld, grid_yu_ocean, total_ocean_lw_heat, grid_xt_ocean, dzt, eta_t, pme_net, kmt, sens_heat, potrho, total_ocean_swflx_vis, xu_ocean_sub01, total_ocean_melt, sfc_h...
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, fx, 1mon}{HTN, st_ocean, nv, mlt_onset_m, mld, grid_yu_ocean, total_ocean_lw_heat, grid_xt_ocean, dzt, eta_t, pme_net, kmt, sens_heat, potrho, total_ocean_swflx_vis, total_ocean_melt, sfc_hflux_from_runoff...
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, fx, 1mon}{HTN, st_ocean, nv, mlt_onset_m, mld, grid_yu_ocean, total_ocean_lw_heat, grid_xt_ocean, dzt, eta_t, pme_net, kmt, sens_heat, potrho, total_ocean_swflx_vis, total_ocean_melt, sfc_hflux_from_runoff...
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, fx, 1mon}{HTN, st_ocean, nv, mlt_onset_m, mld, grid_yu_ocean, total_ocean_lw_heat, grid_xt_ocean, dzt, eta_t, pme_net, kmt, sens_heat, potrho, total_ocean_swflx_vis, total_ocean_melt, sfc_hflux_from_runoff...
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, fx, 1mon}{HTN, st_ocean, nv, mlt_onset_m, mld, grid_yu_ocean, total_ocean_lw_heat, grid_xt_ocean, dzt, eta_t, pme_net, kmt, sens_heat, potrho, total_ocean_swflx_vis, total_ocean_melt, sfc_hflux_from_runoff...
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}{fx, 1mon}{HTN, st_ocean, nv, mlt_onset_m, grid_yu_ocean, mld, total_ocean_lw_heat, grid_xt_ocean, dzt, pme_net, kmt, sens_heat, potrho, total_ocean_swflx_vis, total_ocean_melt, sfc_hflux_from_runoff, salt_...
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}{fx, 1mon}{HTN, st_ocean, nv, mlt_onset_m, grid_yu_ocean, mld, total_ocean_lw_heat, grid_xt_ocean, dzt, pme_net, kmt, sens_heat, potrho, total_ocean_swflx_vis, total_ocean_melt, sfc_hflux_from_runoff, salt_...
01deg_jra55v13_ryf9091_weddell_down2{ACCESS-OM2-01}{Weddell Sea decreased meltwater perturbation experiment, branched off 01deg_jra55v13_ryf9091. }{ocean, seaIce}{1day, fx, 1mon}{HTN, st_ocean, nv, mlt_onset_m, mld, grid_yu_ocean, total_ocean_lw_heat, grid_xt_ocean, dzt, eta_t, pme_net, kmt, sens_heat, potrho, total_ocean_swflx_vis, total_ocean_melt, sfc_hflux_from_runoff...
01deg_jra55v13_ryf9091_weddell_up1{ACCESS-OM2-01}{Weddell Sea increased meltwater perturbation experiment, branched off 01deg_jra55v13_ryf9091. }{ocean, seaIce}{1day, fx, 1mon}{HTN, st_ocean, nv, mlt_onset_m, mld, grid_yu_ocean, total_ocean_lw_heat, grid_xt_ocean, dzt, eta_t, pme_net, kmt, sens_heat, potrho, total_ocean_swflx_vis, total_ocean_melt, sfc_hflux_from_runoff...
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, fx, 1mon}{HTN, dvidtt, st_ocean, nv, total_ocean_lw_heat, mld, grid_yu_ocean, grid_xt_ocean, dzt, frazil, pme_net, kmt, sens_heat, frzmlt, potrho, total_ocean_swflx_vis, eta_nonbouss, total_ocean_melt, sfc...
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, fx, 1mon}{HTN, dvidtt, st_ocean, nv, total_ocean_lw_heat, mld, grid_yu_ocean, grid_xt_ocean, meltb, dzt, frazil, pme_net, kmt, sens_heat, frzmlt, potrho, total_ocean_swflx_vis, eta_nonbouss, total_ocean_me...
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, fx, 1mon}{HTN, dvidtt, st_ocean, nv, total_ocean_lw_heat, mld, grid_yu_ocean, grid_xt_ocean, meltb, dzt, frazil, pme_net, kmt, sens_heat, frzmlt, potrho, total_ocean_swflx_vis, eta_nonbouss, total_ocean_me...
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, 3hr, 1day, fx, 1mon}{HTN, stf07, pme_net, alidf_ai, skl_Nit_m, salt_global_ave, total_ocean_fprec_melt_heat, average_T1, phy_int100, HTE, frazil_3d_int_z, fmeltt_ai_m, bottom_temp, net_sfc_heating, ml_Nit_m, surface_...
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, subhr, fx, 1mon}{HTN, stf07, pme_net, skl_Nit_m, salt_global_ave, total_ocean_fprec_melt_heat, average_T1, phy_int100, HTE, frazil_3d_int_z, fmeltt_ai_m, bottom_temp, net_sfc_heating, ml_Nit_m, surface_salt, surf...
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, fx, 1mon}{st_ocean, nv, grid_yu_ocean, mld, grid_xt_ocean, dzt, eta_t, pme_net, kmt, sens_heat, potrho, eta_nonbouss, sfc_hflux_from_runoff, TLAT, average_T1, evap, pbot_t, neutralrho_edges, frazil_3d_int_...
025deg_era5_iaf{ACCESS-OM2}{0.25 degree ACCESS-OM2 global model configuration with ERA5 interannual\\nforcing (1980-2021)}{ocean, seaIce}{1day, fx, 1mon}{HTN, rain_ai_m, dvidtt, st_ocean, nv, total_ocean_lw_heat, mld, grid_xt_ocean, grid_yu_ocean, flat_ai_m, frazil, pme_net, kmt, sens_heat, frzmlt, potrho, total_ocean_swflx_vis, eta_nonbouss, strc...
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, fx, 1mon}{HTN, rain_ai_m, dvidtt, st_ocean, nv, total_ocean_lw_heat, mld, grid_yu_ocean, grid_xt_ocean, flat_ai_m, dzt, frazil, pme_net, kmt, sens_heat, frzmlt, potrho, total_ocean_swflx_vis, eta_nonbouss,...
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, fx, 1mon}{HTN, rain_ai_m, dvidtt, st_ocean, nv, total_ocean_lw_heat, mld, grid_xt_ocean, grid_yu_ocean, flat_ai_m, frazil, pme_net, kmt, sens_heat, frzmlt, potrho, total_ocean_swflx_vis, eta_nonbouss, strc...
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, fx, 1mon}{HTN, rain_ai_m, bv_freq, pme_net, strcorx_m, salt_global_ave, total_ocean_fprec_melt_heat, average_T1, Tair_m, bih_fric_v, HTE, frazil_3d_int_z, psiu, fmeltt_ai_m, temp_submeso, bottom_temp, net_...
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, fx, 1mon}{HTN, rain_ai_m, bv_freq, pme_net, strcorx_m, salt_global_ave, total_ocean_fprec_melt_heat, average_T1, Tair_m, bih_fric_v, HTE, frazil_3d_int_z, psiu, fmeltt_ai_m, temp_submeso, bottom_temp, net_...
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, fx, 1mon}{HTN, rain_ai_m, bv_freq, pme_net, strcorx_m, salt_global_ave, total_ocean_fprec_melt_heat, average_T1, Tair_m, bih_fric_v, HTE, frazil_3d_int_z, psiu, fmeltt_ai_m, temp_submeso, bottom_temp, net_...
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, fx, 1mon}{HTN, rain_ai_m, bv_freq, pme_net, strcorx_m, salt_global_ave, total_ocean_fprec_melt_heat, average_T1, Tair_m, bih_fric_v, HTE, frazil_3d_int_z, psiu, fmeltt_ai_m, temp_submeso, bottom_temp, net_...
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, fx, 1mon}{HTN, rain_ai_m, bv_freq, pme_net, strcorx_m, salt_global_ave, total_ocean_fprec_melt_heat, average_T1, Tair_m, bih_fric_v, HTE, frazil_3d_int_z, psiu, fmeltt_ai_m, temp_submeso, bottom_temp, net_...
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, fx, 1mon}{HTN, rain_ai_m, bv_freq, pme_net, strcorx_m, salt_global_ave, total_ocean_fprec_melt_heat, average_T1, Tair_m, bih_fric_v, HTE, frazil_3d_int_z, psiu, fmeltt_ai_m, temp_submeso, bottom_temp, net_...
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, fx, 1mon}{HTN, rain_ai_m, st_ocean, nv, mlt_onset_m, total_ocean_lw_heat, grid_yu_ocean, grid_xt_ocean, mld, flat_ai_m, dzt, eta_t, kmt, potrho, total_ocean_swflx_vis, strcorx_m, total_ocean_melt, salt_glo...
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, fx, 1mon}{HTN, rain_ai_m, dvidtt, st_ocean, nv, total_ocean_lw_heat, mld, grid_yu_ocean, grid_xt_ocean, flat_ai_m, dzt, frazil, pme_net, kmt, sens_heat, frzmlt, potrho, total_ocean_swflx_vis, eta_nonbouss,...
1deg_era5_iaf{ACCESS-OM2}{1 degree ACCESS-OM2 global model configuration with ERA5 interannual\\nforcing (1960-2019)}{ocean, seaIce}{1day, fx, 1mon}{HTN, rain_ai_m, dvidtt, st_ocean, nv, total_ocean_lw_heat, mld, grid_yu_ocean, grid_xt_ocean, flat_ai_m, dzt, frazil, pme_net, kmt, sens_heat, frzmlt, potrho, total_ocean_swflx_vis, eta_nonbouss,...
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, fx, 1mon}{HTN, rain_ai_m, dvidtt, st_ocean, nv, total_ocean_lw_heat, mld, flat_ai_m, dzt, frazil, pme_net, kmt, sens_heat, frzmlt, total_ocean_swflx_vis, eta_nonbouss, strcorx_m, total_ocean_melt, sfc_hflu...
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, fx, 1mon}{HTN, rain_ai_m, dvidtt, st_ocean, nv, total_ocean_lw_heat, mld, grid_yu_ocean, grid_xt_ocean, flat_ai_m, dzt, frazil, pme_net, kmt, sens_heat, frzmlt, potrho, total_ocean_swflx_vis, eta_nonbouss,...
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, fx, 1mon}{HTN, rain_ai_m, stf07, bv_freq, pme_net, strcorx_m, salt_global_ave, total_ocean_fprec_melt_heat, average_T1, Tair_m, bih_fric_v, HTE, frazil_3d_int_z, psiu, fmeltt_ai_m, temp_submeso, bottom_tem...
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, fx, 1mon}{HTN, rain_ai_m, stf07, bv_freq, pme_net, strcorx_m, salt_global_ave, total_ocean_fprec_melt_heat, average_T1, Tair_m, bih_fric_v, HTE, frazil_3d_int_z, psiu, fmeltt_ai_m, temp_submeso, bottom_tem...
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, fx, 1mon}{HTN, rain_ai_m, stf07, bv_freq, pme_net, strcorx_m, salt_global_ave, total_ocean_fprec_melt_heat, average_T1, Tair_m, bih_fric_v, HTE, frazil_3d_int_z, psiu, fmeltt_ai_m, temp_submeso, bottom_tem...
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, fx, 1mon}{HTN, rain_ai_m, stf07, bv_freq, pme_net, strcorx_m, salt_global_ave, total_ocean_fprec_melt_heat, average_T1, Tair_m, bih_fric_v, HTE, frazil_3d_int_z, psiu, fmeltt_ai_m, temp_submeso, bottom_tem...
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, fx, 1mon}{HTN, rain_ai_m, stf07, bv_freq, pme_net, strcorx_m, salt_global_ave, total_ocean_fprec_melt_heat, average_T1, Tair_m, bih_fric_v, HTE, frazil_3d_int_z, psiu, fmeltt_ai_m, temp_submeso, bottom_tem...
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, fx, 1mon}{HTN, rain_ai_m, stf07, bv_freq, pme_net, strcorx_m, salt_global_ave, total_ocean_fprec_melt_heat, average_T1, Tair_m, bih_fric_v, HTE, frazil_3d_int_z, psiu, fmeltt_ai_m, temp_submeso, bottom_tem...
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, fx, 1mon}{HTN, rain_ai_m, stf07, bv_freq, pme_net, strcorx_m, salt_global_ave, total_ocean_fprec_melt_heat, average_T1, Tair_m, HTE, frazil_3d_int_z, psiu, fmeltt_ai_m, temp_submeso, bottom_temp, net_sfc_h...
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}{HTN, adic, st_ocean, stf07, temp_global_ave, nv, yt_ocean, tarea, mld, xt_ocean, scalar_axis, TLON, dxu, total_volume_seawater, aice_m, sss, ULAT, ANGLET, dyt, salt_global_ave, TLAT, alvdf_ai_m, ...
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}{HTN, adic, st_ocean, stf07, temp_global_ave, nv, yt_ocean, tarea, mld, xt_ocean, scalar_axis, TLON, dxu, total_volume_seawater, aice_m, sss, ULAT, ANGLET, dyt, salt_global_ave, TLAT, alvdf_ai_m, ...
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}{HTN, adic, st_ocean, stf07, temp_global_ave, nv, yt_ocean, tarea, mld, xt_ocean, scalar_axis, TLON, dxu, total_volume_seawater, aice_m, sss, ULAT, ANGLET, dyt, salt_global_ave, TLAT, alvdf_ai_m, ...
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}{HTN, adic, st_ocean, stf07, temp_global_ave, nv, yt_ocean, tarea, mld, xt_ocean, scalar_axis, TLON, dxu, total_volume_seawater, aice_m, sss, ULAT, ANGLET, dyt, salt_global_ave, TLAT, alvdf_ai_m, ...
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}{HTN, adic, st_ocean, stf07, temp_global_ave, nv, yt_ocean, tarea, mld, xt_ocean, scalar_axis, TLON, dxu, total_volume_seawater, aice_m, sss, ULAT, ANGLET, dyt, salt_global_ave, TLAT, alvdf_ai_m, ...
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}{HTN, adic, st_ocean, stf07, temp_global_ave, nv, yt_ocean, tarea, mld, xt_ocean, scalar_axis, TLON, dxu, total_volume_seawater, aice_m, sss, ULAT, ANGLET, dyt, salt_global_ave, TLAT, alvdf_ai_m, ...
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}{HTN, adic, st_ocean, stf07, temp_global_ave, nv, yt_ocean, tarea, mld, xt_ocean, scalar_axis, TLON, dxu, total_volume_seawater, aice_m, sss, ULAT, ANGLET, dyt, salt_global_ave, TLAT, alvdf_ai_m, ...
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}{HTN, adic, st_ocean, stf07, temp_global_ave, nv, yt_ocean, tarea, mld, xt_ocean, scalar_axis, TLON, dxu, total_volume_seawater, aice_m, sss, ULAT, ANGLET, dyt, salt_global_ave, TLAT, alvdf_ai_m, ...
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}{HTN, adic, st_ocean, stf07, temp_global_ave, nv, yt_ocean, tarea, mld, xt_ocean, scalar_axis, TLON, dxu, total_volume_seawater, aice_m, sss, ULAT, ANGLET, dyt, salt_global_ave, TLAT, alvdf_ai_m, ...
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}{HTN, adic, st_ocean, stf07, temp_global_ave, nv, yt_ocean, tarea, mld, xt_ocean, scalar_axis, TLON, dxu, total_volume_seawater, aice_m, sss, ULAT, ANGLET, dyt, salt_global_ave, TLAT, alvdf_ai_m, ...
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, fx, 1mon}{HTN, rain_ai_m, stf07, bv_freq, pme_net, strcorx_m, salt_global_ave, total_ocean_fprec_melt_heat, average_T1, Tair_m, HTE, frazil_3d_int_z, psiu, fmeltt_ai_m, temp_submeso, bottom_temp, net_sfc_h...
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}{HTN, adic, st_ocean, stf07, temp_global_ave, nv, yt_ocean, tarea, mld, xt_ocean, scalar_axis, TLON, dxu, total_volume_seawater, aice_m, sss, ULAT, ANGLET, dyt, salt_global_ave, TLAT, alvdf_ai_m, ...
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}{HTN, adic, st_ocean, stf07, temp_global_ave, nv, yt_ocean, tarea, mld, xt_ocean, scalar_axis, TLON, dxu, total_volume_seawater, aice_m, sss, ULAT, ANGLET, dyt, salt_global_ave, TLAT, alvdf_ai_m, ...
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}{HTN, adic, st_ocean, stf07, temp_global_ave, nv, yt_ocean, tarea, mld, xt_ocean, scalar_axis, TLON, dxu, total_volume_seawater, aice_m, sss, ULAT, ANGLET, dyt, salt_global_ave, TLAT, alvdf_ai_m, ...
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}{HTN, adic, st_ocean, stf07, temp_global_ave, nv, yt_ocean, tarea, mld, xt_ocean, scalar_axis, TLON, dxu, total_volume_seawater, aice_m, sss, ULAT, ANGLET, dyt, salt_global_ave, TLAT, alvdf_ai_m, ...
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}{HTN, adic, st_ocean, stf07, temp_global_ave, nv, yt_ocean, tarea, mld, xt_ocean, scalar_axis, TLON, dxu, total_volume_seawater, aice_m, sss, ULAT, ANGLET, dyt, salt_global_ave, TLAT, alvdf_ai_m, ...
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}{HTN, adic, st_ocean, stf07, temp_global_ave, nv, yt_ocean, tarea, mld, xt_ocean, scalar_axis, TLON, dxu, total_volume_seawater, aice_m, sss, ULAT, ANGLET, dyt, salt_global_ave, TLAT, alvdf_ai_m, ...
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}{HTN, adic, st_ocean, stf07, temp_global_ave, nv, yt_ocean, tarea, mld, xt_ocean, scalar_axis, TLON, dxu, total_volume_seawater, aice_m, sss, ULAT, ANGLET, dyt, salt_global_ave, TLAT, alvdf_ai_m, ...
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}{HTN, adic, st_ocean, stf07, temp_global_ave, nv, yt_ocean, tarea, mld, xt_ocean, scalar_axis, TLON, dxu, total_volume_seawater, aice_m, sss, ULAT, ANGLET, dyt, salt_global_ave, TLAT, alvdf_ai_m, ...
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}{HTN, adic, st_ocean, stf07, temp_global_ave, nv, yt_ocean, tarea, mld, xt_ocean, scalar_axis, TLON, dxu, total_volume_seawater, aice_m, sss, ULAT, ANGLET, dyt, salt_global_ave, TLAT, alvdf_ai_m, ...
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}{HTN, adic, st_ocean, stf07, temp_global_ave, nv, yt_ocean, tarea, mld, xt_ocean, scalar_axis, TLON, dxu, total_volume_seawater, aice_m, sss, ULAT, ANGLET, dyt, salt_global_ave, TLAT, alvdf_ai_m, ...
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, fx, 1mon}{HTN, rain_ai_m, stf07, bv_freq, pme_net, strcorx_m, salt_global_ave, total_ocean_fprec_melt_heat, average_T1, Tair_m, HTE, frazil_3d_int_z, psiu, fmeltt_ai_m, temp_submeso, bottom_temp, net_sfc_h...
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}{HTN, adic, st_ocean, stf07, temp_global_ave, nv, yt_ocean, tarea, mld, xt_ocean, scalar_axis, TLON, dxu, total_volume_seawater, aice_m, sss, ULAT, ANGLET, dyt, salt_global_ave, TLAT, alvdf_ai_m, ...
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}{HTN, adic, st_ocean, stf07, temp_global_ave, nv, yt_ocean, tarea, mld, xt_ocean, scalar_axis, TLON, dxu, total_volume_seawater, aice_m, sss, ULAT, ANGLET, dyt, salt_global_ave, TLAT, alvdf_ai_m, ...
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}{HTN, adic, st_ocean, stf07, temp_global_ave, nv, yt_ocean, tarea, mld, xt_ocean, scalar_axis, TLON, dxu, total_volume_seawater, aice_m, sss, ULAT, ANGLET, dyt, salt_global_ave, TLAT, alvdf_ai_m, ...
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}{HTN, adic, st_ocean, stf07, temp_global_ave, nv, yt_ocean, tarea, mld, xt_ocean, scalar_axis, TLON, dxu, total_volume_seawater, aice_m, sss, ULAT, ANGLET, dyt, salt_global_ave, TLAT, alvdf_ai_m, ...
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, fx, 1mon}{salt_nonlocal_KPP, neutral_gm_salt, HTN, st_ocean, stf07, eta_adjust, bv_freq, nv, sfc_hflux_from_water_prec, total_ocean_lw_heat, mld, grid_yu_ocean, grid_xt_ocean, tx_trans_rho_gm, paco2, tx_tr...
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, fx, 1mon}{salt_nonlocal_KPP, neutral_gm_salt, HTN, st_ocean, stf07, eta_adjust, bv_freq, nv, sfc_hflux_from_water_prec, total_ocean_lw_heat, mld, grid_yu_ocean, grid_xt_ocean, tx_trans_rho_gm, paco2, tx_tr...
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, fx, 1mon}{salt_nonlocal_KPP, neutral_gm_salt, HTN, st_ocean, stf07, eta_adjust, bv_freq, nv, sfc_hflux_from_water_prec, total_ocean_lw_heat, mld, grid_yu_ocean, grid_xt_ocean, tx_trans_rho_gm, paco2, tx_tr...
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, fx, 1mon}{salt_nonlocal_KPP, neutral_gm_salt, HTN, st_ocean, stf07, eta_adjust, bv_freq, nv, sfc_hflux_from_water_prec, total_ocean_lw_heat, mld, grid_yu_ocean, grid_xt_ocean, tx_trans_rho_gm, paco2, tx_tr...
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, fx, 1mon}{salt_nonlocal_KPP, neutral_gm_salt, HTN, st_ocean, stf07, eta_adjust, bv_freq, nv, sfc_hflux_from_water_prec, total_ocean_lw_heat, mld, grid_yu_ocean, grid_xt_ocean, tx_trans_rho_gm, paco2, tx_tr...
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, fx, 1mon}{salt_nonlocal_KPP, neutral_gm_salt, HTN, st_ocean, stf07, eta_adjust, bv_freq, nv, sfc_hflux_from_water_prec, total_ocean_lw_heat, mld, grid_yu_ocean, grid_xt_ocean, tx_trans_rho_gm, paco2, tx_tr...
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, fx, 1mon}{HTN, rain_ai_m, stf07, bv_freq, pme_net, strcorx_m, salt_global_ave, total_ocean_fprec_melt_heat, average_T1, Tair_m, HTE, frazil_3d_int_z, psiu, fmeltt_ai_m, temp_submeso, bottom_temp, net_sfc_h...
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}{HTN, adic, st_ocean, stf07, temp_global_ave, nv, yt_ocean, tarea, mld, xt_ocean, scalar_axis, TLON, dxu, total_volume_seawater, aice_m, sss, ULAT, ANGLET, dyt, salt_global_ave, TLAT, alvdf_ai_m, ...
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}{HTN, adic, st_ocean, stf07, temp_global_ave, nv, yt_ocean, tarea, mld, xt_ocean, scalar_axis, TLON, dxu, total_volume_seawater, aice_m, sss, ULAT, ANGLET, dyt, salt_global_ave, TLAT, alvdf_ai_m, ...
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}{HTN, adic, st_ocean, stf07, temp_global_ave, nv, yt_ocean, tarea, mld, xt_ocean, scalar_axis, TLON, dxu, total_volume_seawater, aice_m, sss, ULAT, ANGLET, dyt, salt_global_ave, TLAT, alvdf_ai_m, ...
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}{HTN, adic, st_ocean, stf07, temp_global_ave, nv, yt_ocean, tarea, mld, xt_ocean, scalar_axis, TLON, dxu, total_volume_seawater, aice_m, sss, ULAT, ANGLET, dyt, salt_global_ave, TLAT, alvdf_ai_m, ...
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}{HTN, adic, st_ocean, stf07, temp_global_ave, nv, yt_ocean, tarea, mld, xt_ocean, scalar_axis, TLON, dxu, total_volume_seawater, aice_m, sss, ULAT, ANGLET, dyt, salt_global_ave, TLAT, alvdf_ai_m, ...
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}{HTN, adic, st_ocean, stf07, temp_global_ave, nv, yt_ocean, tarea, mld, xt_ocean, scalar_axis, TLON, dxu, total_volume_seawater, aice_m, sss, ULAT, ANGLET, dyt, salt_global_ave, TLAT, alvdf_ai_m, ...
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, fx, 1mon}{salt_nonlocal_KPP, neutral_gm_salt, HTN, st_ocean, stf07, eta_adjust, bv_freq, nv, sfc_hflux_from_water_prec, total_ocean_lw_heat, mld, grid_yu_ocean, grid_xt_ocean, tx_trans_rho_gm, paco2, tx_tr...
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, fx, 1mon}{salt_nonlocal_KPP, neutral_gm_salt, HTN, st_ocean, stf07, eta_adjust, bv_freq, nv, sfc_hflux_from_water_prec, total_ocean_lw_heat, mld, grid_yu_ocean, grid_xt_ocean, tx_trans_rho_gm, paco2, tx_tr...
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}{HTN, rain_ai_m, dvidtt, st_ocean, stf07, nv, mld, flat_ai_m, frazil, frzmlt, strcorx_m, salt_global_ave, TLAT, alvdf_ai_m, average_T1, Tair_m, fswabs_ai_m, sst, HTE, fmeltt_ai_m, blkmask, caco3, ...
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}{HTN, adic, st_ocean, stf07, temp_global_ave, nv, yt_ocean, tarea, mld, xt_ocean, scalar_axis, TLON, dxu, total_volume_seawater, aice_m, sss, ULAT, ANGLET, dyt, salt_global_ave, TLAT, alvdf_ai_m, ...
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}{HTN, adic, st_ocean, stf07, temp_global_ave, nv, yt_ocean, tarea, mld, xt_ocean, scalar_axis, TLON, dxu, total_volume_seawater, aice_m, sss, ULAT, ANGLET, dyt, salt_global_ave, TLAT, alvdf_ai_m, ...
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, fx, 1mon}{HTN, rain_ai_m, st_ocean, nv, mlt_onset_m, grid_yu_ocean, mld, total_ocean_lw_heat, grid_xt_ocean, temp_xflux_gm_on_nrho, temp_yflux_gm_on_nrho, dzt, neutral_gm_on_nrho_temp, flat_ai_m, tx_trans_...
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, fx, 1mon}{HTN, rain_ai_m, dvidtt, st_ocean, nv, total_ocean_lw_heat, mld, flat_ai_m, dzt, frazil, pme_net, kmt, sens_heat, frzmlt, total_ocean_swflx_vis, eta_nonbouss, strcorx_m, total_ocean_melt, sfc_hflu...
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}{atmos, ocean, seaIce}{6hr, 3hr, 1day, 1mon, 1yr}{fld_s03i831, sigma_theta, stf07, bv_freq, fld_s30i111, pseudo_level_2, fld_s02i203, fld_s02i287, drhodsalinity, fld_s03i314, salt_global_ave, total_ocean_fprec_melt_heat, average_T1, temp_merid_f...
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}{atmos, ocean, seaIce}{1day, 1yr, 1mon}{fld_s03i831, sigma_theta, stf07, bv_freq, pseudo_level_2, fld_s02i203, fld_s02i287, drhodsalinity, fld_s03i314, salt_global_ave, total_ocean_fprec_melt_heat, average_T1, temp_merid_flux_over_atla...
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}{atmos, ocean, seaIce}{1day, 1yr, 1mon}{fld_s03i831, sigma_theta, stf07, bv_freq, pseudo_level_2, fld_s02i203, fld_s02i287, drhodsalinity, fld_s03i314, salt_global_ave, total_ocean_fprec_melt_heat, average_T1, temp_merid_flux_over_atla...
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}{atmos, ocean, seaIce}{6hr, 3hr, 1day, 1mon, 1yr}{fld_s03i831, sigma_theta, stf07, bv_freq, fld_s30i111, pseudo_level_2, fld_s02i203, fld_s02i287, drhodsalinity, fld_s03i314, salt_global_ave, total_ocean_fprec_melt_heat, average_T1, temp_merid_f...
OM4_025.JRA_RYF{SIS2, MOM6}{0.25 degree GFDL-OM4 (MOM6+SIS2) global model configuration under 1990-1991 JRA55-do repeat year forcing.}{ocean, seaIce}{1day, 1yr, fx, 1mon}{z_i, tauvo, sob, nv, Heat_PmE, net_massin, wet_c, hfgeou, geolon, heat_content_massin, prsn, areacello_cv, so, average_T1, volcello, rho2_i, so_xyave, tos, evs, sfdsi, fsitherm, hfds, geolon_v, w...
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 }{atmos, ocean, seaIce}{1day, 1yr, 1mon}{fld_s03i831, sigma_theta, stf07, bv_freq, pseudo_level_2, fld_s02i203, fld_s02i287, fld_s00i251, drhodsalinity, fld_s03i314, salt_global_ave, total_ocean_fprec_melt_heat, average_T1, temp_merid_f...
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}{atmos, ocean, seaIce}{1day, 1yr, 1mon}{fld_s03i831, sigma_theta, stf07, bv_freq, pseudo_level_2, fld_s02i203, fld_s02i287, fld_s00i251, drhodsalinity, fld_s03i314, salt_global_ave, total_ocean_fprec_melt_heat, average_T1, temp_merid_f...
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}{atmos, ocean, seaIce}{1day, 1yr, 1mon}{fld_s03i831, sigma_theta, stf07, bv_freq, pseudo_level_2, fld_s02i203, fld_s02i287, fld_s00i251, drhodsalinity, fld_s03i314, salt_global_ave, total_ocean_fprec_melt_heat, average_T1, temp_merid_f...
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}{atmos, ocean, seaIce}{1day, 1yr, 1mon}{fld_s03i831, sigma_theta, stf07, bv_freq, pseudo_level_2, fld_s02i203, fld_s02i287, fld_s00i251, drhodsalinity, fld_s03i314, salt_global_ave, total_ocean_fprec_melt_heat, average_T1, temp_merid_f...
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}{atmos, ocean, seaIce}{1day, 1yr, 1mon}{fld_s03i831, sigma_theta, stf07, bv_freq, pseudo_level_2, fld_s02i203, fld_s02i287, fld_s00i251, drhodsalinity, fld_s03i314, salt_global_ave, total_ocean_fprec_melt_heat, average_T1, temp_merid_f...
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}{atmos, ocean, seaIce}{1day, 1yr, 1mon}{fld_s03i831, sigma_theta, stf07, bv_freq, pseudo_level_2, fld_s02i203, fld_s02i287, fld_s00i251, drhodsalinity, fld_s03i314, salt_global_ave, total_ocean_fprec_melt_heat, average_T1, temp_merid_f...
WOA-13{World Ocean Atlas 2013}{2013 World Ocean Atlas (WOA-13), regridded to various model grids.}{ocean}{fx}{potential_temperature, GRID_X_T, ZT, lat, salt, practical_salinity, GRID_Y_T, temp, time, lon}
WOA23{World Ocean Atlas 2023}{World Ocean Atlas 2023}{ocean}{fx}{n_an, i_ma, s_ma, p_an, t_gp, p_gp, p_mn, t_se, p_se, p_oa, s_an, n_oa, t_ma, s_sea, o_ma, i_oa, t_dd, s_se, i_an, n_sd, t_mn, t_sdo, t_an, t_sea, o_sea, o_dd, i_mn, n_dd, i_sd, s_gp, o_an, s_mn,...
barpa_py18{BARPA-R1-NN, BARPA-C, BARPA-R}{Bureau of Meteorology Atmospheric Regional Projections for Australia (BARPA)}{none}{6hr, 3hr, 1day, fx, subhr, 1mon, 1hr}{va30, hus700, tauu, wa250, wap700, wa150, qfluxv, MLCAPE03, prc, zg500, clt, helicity, ua50m, zg400, ua850, throughfall, ta800, zmla, prsn, cw, FZL, ta300, ta30, sic, va150, ua200m, ta400, ta700,...
bx944{ACCESS-CM2}{Standard CMIP6 historical simulation, control experiment for by473 pacemaker experiment (948d8676-2c56-49db-8ea1-b80572b074c8)}{atmos, ocean, seaIce}{1day, 1mon}{fld_s03i831, sigma_theta, bv_freq, ardg, pseudo_level_2, sisnthick, pme_net, fld_s02i203, alidf_ai, drhodsalinity, fld_s03i314, salt_global_ave, total_ocean_fprec_melt_heat, average_T1, sidmassgr...
by473{ACCESS-CM2}{Pacemaker variation of CMIP6 historical simulation, Topical Atlantic region replaced with fixed SSTs from observations}{atmos, ocean, seaIce}{1day, 1mon}{fld_s03i831, sigma_theta, bv_freq, ardg, pseudo_level_2, sisnthick, pme_net, fld_s02i203, alidf_ai, drhodsalinity, fld_s03i314, salt_global_ave, total_ocean_fprec_melt_heat, average_T1, sidmassgr...
by578{ACCESS-CM2}{Pacemaker variation of CMIP6 ssp245 simulation with Tropical Atlantic region replaced with fixed SSTs from observations}{atmos, ocean, seaIce}{1day, 1mon}{fld_s03i831, sigma_theta, bv_freq, ardg, pseudo_level_2, sisnthick, pme_net, fld_s02i203, alidf_ai, drhodsalinity, fld_s03i314, salt_global_ave, total_ocean_fprec_melt_heat, average_T1, sidmassgr...
by647{ACCESS-CM2}{Standard CMIP6 ssp245 simulation, control experiment for by578 pacemaker experiment (1fd9e682-d393-4b17-a9cd-934c3a48a1f8)}{atmos, ocean, seaIce}{1day, 1mon}{fld_s03i831, sigma_theta, bv_freq, ardg, pseudo_level_2, sisnthick, pme_net, fld_s02i203, alidf_ai, drhodsalinity, fld_s03i314, salt_global_ave, total_ocean_fprec_melt_heat, average_T1, sidmassgr...
bz687{ACCESS-CM2}{ACCESS-CM2 CMIP6 with 1 degree ocean. Present day atmospheric forcing with 1985-2014 mean GHG, aerosol emissions etc.}{atmos, ocean, seaIce}{1day, 1mon}{fld_s03i831, sigma_theta, bv_freq, ardg, pseudo_level_2, sisnthick, pme_net, fld_s02i203, alidf_ai, drhodsalinity, fld_s03i314, salt_global_ave, total_ocean_fprec_melt_heat, average_T1, sidmassgr...
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.}{atmos, ocean, seaIce}{1day, fx, 1mon}{fld_s03i831, sigma_theta, ardg, pseudo_level_2, sisnthick, pme_net, fld_s02i203, alidf_ai, fld_s03i314, salt_global_ave, total_ocean_fprec_melt_heat, average_T1, sidmassgrowthbot, frazil_3d_int_z...
cmip5_al33{CMCC-CESM, CNRM-CM5-2, REMO2015, RCA4, CanAM4, CCLM4-8-17-CLM3-5, GFDL-ESM2G, IPSL-CM5B-LR, CNRM-CM5, ALARO-0, HadCM3, MIROC-ESM, CCLM5-0-15, gfdl-esm2m, CFSv2-2011, HadGEM2-AO, CESM1-FASTCHEM, m...{Replicated CMIP5-era datasets catalogued by NCI}{ocnBgchem, seaIce, atmos, none, land, ocean, landIce, aerosol}{6hr, 3hr, 1day, fx, subhr, 1mon, 1yr}{usi, sconcoa, emibc, fddtdife, rsdsdiff, zmicro, grLateral, si, rsd4co2, epcalc100, wetsoa, loadpoa, prcprof, nppWood, hur, hfdsn, rlussi, hfcorr, fsitherm, tso, tnsccwacs, reffclis, gridspec, va...
cmip5_rr3{ACCESS1-3, UQ-DES-CCAM, BOM-SDMa-NRM, UNSW-WRF360J, CSIRO-CCAM-2008, UNSW-WRF360L, CSIRO-Mk3-6-0, CSIRO-CCAM, UNSW-WRF360K, ACCESS1-0, CSIRO-Mk3L-1-2, CSIRO-CCAM-1704}{Australian CMIP5-era datasets catalogued by NCI}{seaIce, atmos, none, land, ocean, landIce, aerosol}{3mon, 6hr, 3hr, 1day, fx, 1mon, 1hr}{tauvo, strocnx, tauu, usi, sconcoa, hfbasindiff, tauvcorr, emibc, prc, rsdsdiff, zg500, clt, wmo, reffclwtop, ua850, zg400, rhs, divice, hfgeou, zmla, cldnvi, prsn, zg350, so, loadpoa, grassFrac,...
cmip6_fs38{ACCESS-ESM1-5, ACCESS-OM2, ACCESS-CM2, ACCESS-OM2-025}{Australian CMIP6-era datasets catalogued by NCI}{seaIce, ocnBgchem, atmos, land, ocean, landIce, aerosol}{6hr, 3hr, 1day, fx, 1mon, 1yr}{msftmrho, rsdsdiff, zg500, sisnthick, fNup, sidmassgrowthbot, hfbasinpadv, hur, hfdsn, fNnetmin, fsitherm, sidmassdyn, vegHeight, siu, rsdt, rls, tauv, snw, opottempmint, nLitter, treeFracBdlDcd,...
cmip6_oi10{CESM1-CAM5-SE-LR, HadGEM3-GC31-LL, INM-CM5-0, CESM1-CAM5-SE-HR, CMCC-CM2-HR4, CESM2, E3SM-1-1-ECA, HadGEM3-GC31-MM, E3SM-2-0-NARRM, HiRAM-SIT-LR, GISS-E2-1-G, NorESM2-MM, ICON-ESM-LR, CAMS-CSM1-0...{Replicated CMIP6-era datasets catalogued by NCI}{seaIce, ocnBgchem, atmos, atmosChem, land, ocean, landIce, aerosol}{6hr, 3hr, 1day, fx, subhr, 1mon, 1yr, 1hr}{t20d, cropFracC4, zg500, thetaot700, sisnthick, si, opottemptend, fNup, sidmassgrowthbot, hur, hfdsn, fNnetmin, hfcorr, fsitherm, sidmassdyn, pastureFracC3, siu, lossch4, rsdt, rls, tauv, snw, op...
cordex_ig45{ACCESS-ESM1-5, MPI-ESM1-2-LR, FGOALS-g3, GFDL-ESM4, EC-Earth3, CMCC-ESM2, GISS-E2-1-G, MRI-ESM2-0, NorESM2-MM, ERA5, ACCESS-CM2, CNRM-CM6-1-HR}{20km regional projections for CORDEX-CMIP6 from the Queensland Future Climate Science Program}{none}{1day, 1mon, fx, 1hr}{hus700, tauu, prc, zg500, clt, zg400, ua850, zmla, prsn, ta300, ta400, ta700, ta500, ua100m, soilt, mrros, va925, clh, rsdt, hus300, zg300, tauv, clm, snw, hus850, orog, mrro, va600, evspsbl, va5...
era5_rt52{era5, era5-preliminary, era5t, era5-derived, era5-1}{ERA5 fifth generation model reanalysis of global climate from ECMWF}{none}{1day, 1mon, 1hr}{ttrc, alnip, aluvd, mdww, lai-hv, viked, u10n, csfr, es, inss, aluvp, wmb, rhoao, mtnswrf, vimad, tvl, mwd, sshf, swvl2, fsr, lsp, ttr, vigd, p2ww, t, mer, PSurf, mlspf, slt, wstar, mmtss, vitoe,...
esmvaltool-obs-ct11{OSI-450-sh, Eppley-VGPM-MODIS, CT2019, ESACCI-AEROSOL, Landschuetzer2020, Landschuetzer2016, ESACCI-SEA-SURFACE-SALINITY, ghgcci, BerkeleyEarth, AIRS-2-0, HadISST, Scripps-CO2-KUM, NCEP-DOE-R2, C...{Replicated observational datasets for ESMValTool CT11}{atmos, none, land, ocean, landIce, aerosol}{1day, 1yr, fx, 1mon}{tauu, clt, cltStddev, si, albisccp, prsn, od550aerStderr, tro3prof, so, grassFrac, sic, smStderr, hur, tos, hfds, taNobs, cttisccp, toz, talkos, fpar, prwFlag, clhcalipso, od870aerStderr, thetao,...
narclim2_zz63{ACCESS-ESM1-5, EC-Earth3-Veg, NorESM2-MM, MPI-ESM1-2-HR, UKESM1-0-LL}{NARCliM2.0 climate pojections, downscaled from ACCESS-ESM1-5 over Australasia at ~18km resolution.}{atmos}{3hr, 1day, fx, 1mon, 1yr, 1hr}{hus700, tauu, wa250, wa150, TNlt2, prc, zg500, TN10p, clt, zg400, zmla, prsn, ta300, DTR, ta400, ta700, ta500, wa750, TX10p, mrros, zg750, CAPEmax, rsdt, hus300, zg300, tauv, snw, hus850, FFDIgt5...
panant-0025-zstar-ACCESSyr2{SIS2, MOM6}{0.025 degree (MOM6+SIS2) Pan-Antarctic regional model configuration under 1990-1991 JRA55-do repeat year forcing.}{ocean, seaIce}{1day, fx, 1mon}{z_i, tauvo, sob, lrunoff, nv, wet_c, geolon, areacello_cv, so, average_T1, volcello, rho2_i, fsitherm, hfds, geolon_v, wet, yB, thetao, wet_u, FA_X, dyCu, xq, z_l, salt_flux_added, dyCv, dxCu, xT...
panant-005-zstar-ACCESSyr2{SIS2, MOM6}{0.05 degree (MOM6+SIS2) Pan-Antarctic regional model configuration under 1990-1991 JRA55-do repeat year forcing.}{ocean, seaIce}{1day, fx, 1mon}{z_i, tauvo, sob, lrunoff, nv, wet_c, geolon, areacello_cv, so, average_T1, volcello, rho2_i, fsitherm, hfds, geolon_v, wet, yB, thetao, wet_u, FA_X, dyCu, xq, z_l, salt_flux_added, dyCv, dxCu, xT...
panant-01-hycom1-v13{SIS2, MOM6}{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, fx, 1mon}{z_i, hmo, tauvo, xq, sob, z_l, areacello_bu, nv, dyCv, umo_2d, dxCu, xT, vmo_2d, geolat, wfo, rho2_l, yh, speed, tob, v, geolat_v, wet_c, geolat_u, areacello, yTe, zos, geolon, friver, areacello_...
panant-01-zstar-ACCESSyr2{SIS2, MOM6}{0.1 degree (MOM6+SIS2) Pan-Antarctic regional model configuration under 1990-1991 JRA55-do repeat year forcing.}{ocean, seaIce}{1day, fx, 1mon}{z_i, tauvo, Kd_interface, lrunoff, sob, nv, rvxv, T_adx_2d, Kd_ePBL, taux, wet_c, geolon, areacello_cv, so, average_T1, volcello, rho2_i, T_ady_2d, intz_CAv_2d, fsitherm, hfds, geolon_v, wet, hf_...
panant-01-zstar-v13{SIS2, MOM6}{0.1 degree (MOM6+SIS2) Pan-Antarctic regional model configuration under 1990-1991 JRA55-do repeat year forcing.}{ocean, seaIce}{1day, fx, 1mon}{z_i, tauvo, sob, nv, taux, wet_c, geolon, areacello_cv, so, average_T1, volcello, rho2_i, intz_CAv_2d, tos, hfds, geolon_v, wet, hf_dvdt_2d, thetao, wet_u, intz_diffu_2d, intz_rvxv_2d, dyCu, hmo,...
rcm_ccam_hq89{ACCESS-ESM1-5, CMCC-ESM2, CNRM-ESM2-1, EC-Earth3, NorESM2-MM, ERA5, CESM2, ACCESS-CM2}{CMIP6 Regional Climate Model Data from CCAM for Australian Climate Service}{none}{6hr, 1day, fx, 1mon, 1hr}{hus700, tauu, wa250, prc, zg500, clt, ua50m, zg400, ua850, zmla, prsn, ta300, ua200m, ta400, ta700, ta500, mrfsos, ua100m, mrros, ua250m, va925, clh, rsdt, hus300, zg300, tauv, wsgsmax, clm, snw,...
shackleton_v4_jk72{ROMSIceShelf}{Shackleton/Denman Ice Shelf-ocean model application built with ROMSIceShelf}{seaIce}{5day}{Zob, nHIS, lat_v, Sb, Cs_w, pm, Fgamma, lon_v, Akv_bak, ocean_time, m, LnudgeM2CLM, Znudg, zice, FSobc_out, mask_v, dstart, spherical, dtfast, LnudgeM3CLM, ndtfast, rho, nl_tnu2, Vstretching, x_u...
\n", "
" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "catalog" ] }, { "cell_type": "markdown", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "You can also search based on the columns in this dataframe to find experiments that are relevant to you. For example, you might be interested in all ACCESS-OM2 experiments that have the variable `\"surface_salt\"` at daily frequency. There are 6 such experiments currently available through the catalog:" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "

Intake dataframe catalog with 6 source(s) across 6 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", " \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", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
modeldescriptionrealmfrequencyvariable
name
025deg_era5_iaf{ACCESS-OM2}{0.25 degree ACCESS-OM2 global model configuration with ERA5 interannual\\nforcing (1980-2021)}{ocean}{1day}{surface_salt}
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}{1day}{surface_salt}
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}{1day}{surface_salt}
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}{1day}{surface_salt}
1deg_era5_iaf{ACCESS-OM2}{1 degree ACCESS-OM2 global model configuration with ERA5 interannual\\nforcing (1960-2019)}{ocean}{1day}{surface_salt}
1deg_jra55_iaf_era5comparison{ACCESS-OM2}{1 degree ACCESS-OM2 global model configuration with JRA55-do v1.4.0\\ninterannual forcing (1960-2019)}{ocean}{1day}{surface_salt}
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" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "catalog.search(model=\"ACCESS-OM2\", variable=\"surface_salt\", frequency=\"1day\")" ] }, { "cell_type": "markdown", "metadata": { "editable": true, "execution": { "iopub.execute_input": "2023-10-17T05:28:12.243671Z", "iopub.status.busy": "2023-10-17T05:28:12.242971Z", "iopub.status.idle": "2023-10-17T05:28:12.248842Z", "shell.execute_reply": "2023-10-17T05:28:12.247916Z", "shell.execute_reply.started": "2023-10-17T05:28:12.243636Z" }, "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "# Opening data" ] }, { "cell_type": "markdown", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "There are [multiple ways](https://access-nri-intake-catalog.readthedocs.io/en/latest/usage/quickstart.html#loading-intake-sources) to open data from the experiments in `catalog`. Here we'll demonstrate how to do this when you know the name of the experiment you are interested in, since this typical for COSIMA users." ] }, { "cell_type": "markdown", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "For example, we can open monthly data for the `surface_salt` variable in the `01deg_jra55v13_ryf9091` experiment as follows:" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "outputs": [], "source": [ "experiment = \"01deg_jra55v13_ryf9091\"\n", "variable = \"surface_salt\"" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "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": [ "data_ic = catalog[experiment].search(\n", " variable=variable, \n", " frequency=\"1mon\"\n", ").to_dask()" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
<xarray.DataArray 'surface_salt' (time: 3360, yt_ocean: 2700, xt_ocean: 3600)> Size: 131GB\n",
       "dask.array<concatenate, shape=(3360, 2700, 3600), dtype=float32, chunksize=(1, 675, 900), chunktype=numpy.ndarray>\n",
       "Coordinates:\n",
       "  * xt_ocean  (xt_ocean) float64 29kB -279.9 -279.8 -279.7 ... 79.75 79.85 79.95\n",
       "  * yt_ocean  (yt_ocean) float64 22kB -81.11 -81.07 -81.02 ... 89.89 89.94 89.98\n",
       "  * time      (time) object 27kB 1900-01-16 12:00:00 ... 2179-12-16 12:00:00\n",
       "Attributes:\n",
       "    long_name:      Practical Salinity\n",
       "    units:          psu\n",
       "    valid_range:    [-10. 100.]\n",
       "    cell_methods:   time: mean\n",
       "    time_avg_info:  average_T1,average_T2,average_DT\n",
       "    standard_name:  sea_surface_salinity
" ], "text/plain": [ " Size: 131GB\n", "dask.array\n", "Coordinates:\n", " * xt_ocean (xt_ocean) float64 29kB -279.9 -279.8 -279.7 ... 79.75 79.85 79.95\n", " * yt_ocean (yt_ocean) float64 22kB -81.11 -81.07 -81.02 ... 89.89 89.94 89.98\n", " * time (time) object 27kB 1900-01-16 12:00:00 ... 2179-12-16 12:00:00\n", "Attributes:\n", " long_name: Practical Salinity\n", " units: psu\n", " valid_range: [-10. 100.]\n", " cell_methods: time: mean\n", " time_avg_info: average_T1,average_T2,average_DT\n", " standard_name: sea_surface_salinity" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "data_ic[\"surface_salt\"]" ] }, { "cell_type": "markdown", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "# Some important facts\n", "\n", "There are a few important facts in the ACCESS-NRI Intake catalog that users should be aware of." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 1. The catalog returns `Datasets` (not `Dataarray`s)\n", "\n", "This is because with the catalog you can load multiple variables into a single dataset with a single call (when these variables are in the same file). For example," ] }, { "cell_type": "code", "execution_count": 9, "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": [ "data_ic_multivar = catalog[experiment].search(\n", " variable=[\"surface_salt\", \"surface_temp\"], \n", " frequency=\"1mon\"\n", ").to_dask()" ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
<xarray.Dataset> Size: 261GB\n",
       "Dimensions:       (time: 3360, yt_ocean: 2700, xt_ocean: 3600)\n",
       "Coordinates:\n",
       "  * xt_ocean      (xt_ocean) float64 29kB -279.9 -279.8 -279.7 ... 79.85 79.95\n",
       "  * yt_ocean      (yt_ocean) float64 22kB -81.11 -81.07 -81.02 ... 89.94 89.98\n",
       "  * time          (time) object 27kB 1900-01-16 12:00:00 ... 2179-12-16 12:00:00\n",
       "Data variables:\n",
       "    surface_temp  (time, yt_ocean, xt_ocean) float32 131GB dask.array<chunksize=(1, 675, 900), meta=np.ndarray>\n",
       "    surface_salt  (time, yt_ocean, xt_ocean) float32 131GB dask.array<chunksize=(1, 675, 900), meta=np.ndarray>\n",
       "Attributes:\n",
       "    filename:                        ocean_month.nc\n",
       "    title:                           ACCESS-OM2-01\n",
       "    grid_type:                       mosaic\n",
       "    grid_tile:                       1\n",
       "    intake_esm_vars:                 ['surface_temp', 'surface_salt']\n",
       "    intake_esm_attrs:filename:       ocean_month.nc\n",
       "    intake_esm_attrs:file_id:        ocean.1mon.nv:2.xt_ocean:3600.xu_ocean:3...\n",
       "    intake_esm_attrs:frequency:      1mon\n",
       "    intake_esm_attrs:realm:          ocean\n",
       "    intake_esm_attrs:_data_format_:  netcdf\n",
       "    intake_esm_dataset_key:          ocean.1mon.nv:2.xt_ocean:3600.xu_ocean:3...
" ], "text/plain": [ " Size: 261GB\n", "Dimensions: (time: 3360, yt_ocean: 2700, xt_ocean: 3600)\n", "Coordinates:\n", " * xt_ocean (xt_ocean) float64 29kB -279.9 -279.8 -279.7 ... 79.85 79.95\n", " * yt_ocean (yt_ocean) float64 22kB -81.11 -81.07 -81.02 ... 89.94 89.98\n", " * time (time) object 27kB 1900-01-16 12:00:00 ... 2179-12-16 12:00:00\n", "Data variables:\n", " surface_temp (time, yt_ocean, xt_ocean) float32 131GB dask.array\n", " surface_salt (time, yt_ocean, xt_ocean) float32 131GB dask.array\n", "Attributes:\n", " filename: ocean_month.nc\n", " title: ACCESS-OM2-01\n", " grid_type: mosaic\n", " grid_tile: 1\n", " intake_esm_vars: ['surface_temp', 'surface_salt']\n", " intake_esm_attrs:filename: ocean_month.nc\n", " intake_esm_attrs:file_id: ocean.1mon.nv:2.xt_ocean:3600.xu_ocean:3...\n", " intake_esm_attrs:frequency: 1mon\n", " intake_esm_attrs:realm: ocean\n", " intake_esm_attrs:_data_format_: netcdf\n", " intake_esm_dataset_key: ocean.1mon.nv:2.xt_ocean:3600.xu_ocean:3..." ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "data_ic_multivar" ] }, { "cell_type": "markdown", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "## 2. The catalog knows which files make up distinct datasets" ] }, { "cell_type": "markdown", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "The catalog knows which files make up distinct datasets and provides methods to open multiple datasets from a single query. We can run the equivalent to the cell above using the catalog, using `to_dataset_dict()` rather than `to_dask()`. Doing so returns a dictionary containing Datasets of the variable at all the available frequencies (daily and monthly in this case)." ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "--> The keys in the returned dictionary of datasets are constructed as follows:\n", "\t'file_id'\n" ] }, { "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", "/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", "/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" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
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For example:" ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "--> The keys in the returned dictionary of datasets are constructed as follows:\n", "\t'file_id'\n" ] }, { "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", "/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", "/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" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
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       "Dimensions:  ()\n",
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" ], "text/plain": [ "\n", "Group: /\n", "├── Group: /ocean.1day.nv:2.xt_ocean:3600.xu_ocean:3600.yt_ocean:2700.yu_ocean:2700\n", "│ Dimensions: (time: 15695, yt_ocean: 2700, xt_ocean: 3600)\n", "│ Coordinates:\n", "│ * xt_ocean (xt_ocean) float64 29kB -279.9 -279.8 -279.7 ... 79.85 79.95\n", "│ * yt_ocean (yt_ocean) float64 22kB -81.11 -81.07 -81.02 ... 89.94 89.98\n", "│ * time (time) object 126kB 2137-01-01 12:00:00 ... 2179-12-31 12:0...\n", "│ Data variables:\n", "│ surface_salt (time, yt_ocean, xt_ocean) float32 610GB dask.array\n", "│ Attributes:\n", "│ filename: ocean_daily.nc\n", "│ title: ACCESS-OM2-01\n", "│ grid_type: mosaic\n", "│ grid_tile: 1\n", "│ intake_esm_vars: ['surface_salt']\n", "│ intake_esm_attrs:filename: ocean_daily.nc\n", "│ intake_esm_attrs:file_id: ocean.1day.nv:2.xt_ocean:3600.xu_ocean:3...\n", "│ intake_esm_attrs:frequency: 1day\n", "│ intake_esm_attrs:realm: ocean\n", "│ intake_esm_attrs:_data_format_: netcdf\n", "│ intake_esm_dataset_key: ocean.1day.nv:2.xt_ocean:3600.xu_ocean:3...\n", "├── Group: /ocean.1day.nv:2.xt_ocean:3600.yt_ocean:2700\n", "│ Dimensions: (time: 65885, yt_ocean: 2700, xt_ocean: 3600)\n", "│ Coordinates:\n", "│ * xt_ocean (xt_ocean) float64 29kB -279.9 -279.8 -279.7 ... 79.85 79.95\n", "│ * yt_ocean (yt_ocean) float64 22kB -81.11 -81.07 -81.02 ... 89.94 89.98\n", "│ * time (time) object 527kB 1956-04-01 12:00:00 ... 2136-12-31 12:0...\n", "│ Data variables:\n", "│ surface_salt (time, yt_ocean, xt_ocean) float32 3TB dask.array\n", "│ Attributes: (12/14)\n", "│ filename: ocean_daily.nc\n", "│ title: ACCESS-OM2-01\n", "│ grid_type: mosaic\n", "│ grid_tile: 1\n", "│ intake_esm_vars: ['surface_salt']\n", "│ intake_esm_attrs:filename: ocean_daily.nc\n", "│ ... ...\n", "│ intake_esm_attrs:variable: average_DT,average_T1,average_T2...\n", "│ intake_esm_attrs:variable_long_name: Length of average period,Start t...\n", "│ intake_esm_attrs:variable_cell_methods: ,,,time: mean,time: mean,time: m...\n", "│ intake_esm_attrs:realm: ocean\n", "│ intake_esm_attrs:_data_format_: netcdf\n", "│ intake_esm_dataset_key: ocean.1day.nv:2.xt_ocean:3600.yt...\n", "└── Group: /ocean.1mon.nv:2.xt_ocean:3600.xu_ocean:3600.yt_ocean:2700.yu_ocean:2700\n", " Dimensions: (time: 3360, yt_ocean: 2700, xt_ocean: 3600)\n", " Coordinates:\n", " * xt_ocean (xt_ocean) float64 29kB -279.9 -279.8 -279.7 ... 79.85 79.95\n", " * yt_ocean (yt_ocean) float64 22kB -81.11 -81.07 -81.02 ... 89.94 89.98\n", " * time (time) object 27kB 1900-01-16 12:00:00 ... 2179-12-16 12:00:00\n", " Data variables:\n", " surface_salt (time, yt_ocean, xt_ocean) float32 131GB dask.array\n", " Attributes:\n", " filename: ocean_month.nc\n", " title: ACCESS-OM2-01\n", " grid_type: mosaic\n", " grid_tile: 1\n", " intake_esm_vars: ['surface_salt']\n", " intake_esm_attrs:filename: ocean_month.nc\n", " intake_esm_attrs:file_id: ocean.1mon.nv:2.xt_ocean:3600.xu_ocean:3...\n", " intake_esm_attrs:frequency: 1mon\n", " intake_esm_attrs:realm: ocean\n", " intake_esm_attrs:_data_format_: netcdf\n", " intake_esm_dataset_key: ocean.1mon.nv:2.xt_ocean:3600.xu_ocean:3..." ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "data_ic_datatree" ] }, { "cell_type": "markdown", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "## 3. The frequency vocabulary:" ] }, { "cell_type": "markdown", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "In the catalog, frequency follows a standard vocabulary that is very similar to CMIP6:\n", "\n", "```python\n", "\"fx\" # fixed\n", "\"subhr\" # subhourly\n", "\"hr\" # hourly\n", "\"day\" # daily\n", "\"mon\" # monthly\n", "\"yr\" # yearly\n", "\"dec\" # decadal\n", "```" ] }, { "cell_type": "markdown", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "## 4. Method for passing keyword arguments" ] }, { "cell_type": "markdown", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "With the catalog, keyword argments for xarray's `open_dataset` and `combine_by_coords` functions are passed separately to `to_dask` (or `to_dataset_dict`). For example:" ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "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": [ "xarray_open_kwargs=dict(\n", " chunks={\"xt_ocean\": -1, \"yt_ocean\": -1}\n", ")\n", "xarray_combine_by_coords_kwargs=dict(\n", " compat=\"override\",\n", " data_vars=\"minimal\",\n", " coords=\"minimal\"\n", ")\n", "\n", "data_ic_kw = catalog[experiment].search(\n", " variable=variable, \n", " frequency=\"1mon\"\n", ").to_dask(\n", " xarray_open_kwargs=xarray_open_kwargs,\n", " xarray_combine_by_coords_kwargs=xarray_combine_by_coords_kwargs,\n", ")" ] }, { "cell_type": "markdown", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "## 5. Catalog does not allow search by start and end date" ] }, { "cell_type": "markdown", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "It's not possible to query on a time range with the Intake catalog.\n", "\n", "We can always slice the time axis afterwards though. That is, with the catalog you'd just do:" ] }, { "cell_type": "code", "execution_count": 17, "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "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:301: 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": [ "data_ic = catalog[experiment].search(\n", " variable=variable, \n", " frequency=\"1mon\"\n", ").to_dask()\n", "\n", "start_time = \"2000-01-01\"\n", "end_time = \"2180-01-01\"\n", "\n", "data_ic_times = data_ic.sel(time=slice(start_time, end_time))" ] }, { "cell_type": "markdown", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "which takes a few seconds longer.\n", "\n", "This difference is acceptable because the opening of datasets is a parallelized task that is done [lazily](https://docs.xarray.dev/en/stable/user-guide/dask.html#parallel-computing-with-dask), so opening all files and reducing the times using xarray's `sel` methods doesn't add too much overhead. In most cases where the overhead of opening the files seems large, this can be reduced through sensible choices of keyword arguments provided to `open_dataset` and `combine_by_coords` - see the xarray documentation on [Reading multi-file datasets](https://docs.xarray.dev/en/stable/user-guide/io.html#reading-multi-file-datasets) for details." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 6. Applying a preprocessing function\n", "\n", "You can use `xarray`'s preprocess function to apply a function to each dataset prior to `intake`'s concatenation. In some cases, this can make the loading into memory fast. \n", "\n", "For example:" ] }, { "cell_type": "code", "execution_count": 18, "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": [ "
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<xarray.Dataset> Size: 3GB\n",
       "Dimensions:       (time: 3360, yt_ocean: 375, xt_ocean: 500)\n",
       "Coordinates:\n",
       "  * xt_ocean      (xt_ocean) float64 4kB -229.9 -229.8 -229.7 ... -180.1 -180.0\n",
       "  * yt_ocean      (yt_ocean) float64 3kB -49.96 -49.9 -49.83 ... -20.12 -20.03\n",
       "  * time          (time) object 27kB 1900-01-16 12:00:00 ... 2179-12-16 12:00:00\n",
       "Data variables:\n",
       "    surface_temp  (time, yt_ocean, xt_ocean) float32 3GB dask.array<chunksize=(1, 9, 400), meta=np.ndarray>\n",
       "Attributes:\n",
       "    filename:                        ocean_month.nc\n",
       "    title:                           ACCESS-OM2-01\n",
       "    grid_type:                       mosaic\n",
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       "    intake_esm_vars:                 ['surface_temp']\n",
       "    intake_esm_attrs:filename:       ocean_month.nc\n",
       "    intake_esm_attrs:file_id:        ocean.1mon.nv:2.xt_ocean:3600.xu_ocean:3...\n",
       "    intake_esm_attrs:frequency:      1mon\n",
       "    intake_esm_attrs:realm:          ocean\n",
       "    intake_esm_attrs:_data_format_:  netcdf\n",
       "    intake_esm_dataset_key:          ocean.1mon.nv:2.xt_ocean:3600.xu_ocean:3...
" ], "text/plain": [ " Size: 3GB\n", "Dimensions: (time: 3360, yt_ocean: 375, xt_ocean: 500)\n", "Coordinates:\n", " * xt_ocean (xt_ocean) float64 4kB -229.9 -229.8 -229.7 ... -180.1 -180.0\n", " * yt_ocean (yt_ocean) float64 3kB -49.96 -49.9 -49.83 ... -20.12 -20.03\n", " * time (time) object 27kB 1900-01-16 12:00:00 ... 2179-12-16 12:00:00\n", "Data variables:\n", " surface_temp (time, yt_ocean, xt_ocean) float32 3GB dask.array\n", "Attributes:\n", " filename: ocean_month.nc\n", " title: ACCESS-OM2-01\n", " grid_type: mosaic\n", " grid_tile: 1\n", " intake_esm_vars: ['surface_temp']\n", " intake_esm_attrs:filename: ocean_month.nc\n", " intake_esm_attrs:file_id: ocean.1mon.nv:2.xt_ocean:3600.xu_ocean:3...\n", " intake_esm_attrs:frequency: 1mon\n", " intake_esm_attrs:realm: ocean\n", " intake_esm_attrs:_data_format_: netcdf\n", " intake_esm_dataset_key: ocean.1mon.nv:2.xt_ocean:3600.xu_ocean:3..." ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" } ], "source": [ "def select_region(ds):\n", " ds = ds.sel(xt_ocean=slice(-230, -180), yt_ocean=slice(-50, -20))\n", " return ds\n", "\n", "data_ic = catalog['01deg_jra55v13_ryf9091'].search(\n", " variable='surface_temp', \n", " frequency=\"1mon\"\n", ").to_dask(preprocess=select_region)\n", "data_ic" ] }, { "cell_type": "markdown", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "# Tips, gotchas and workarounds" ] }, { "cell_type": "markdown", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "## 1. Speeding up opening your datasets" ] }, { "cell_type": "markdown", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "Try passing the following argument to your `to_dask` or `to_dataset_dict` call:\n", "\n", "```python\n", "xarray_combine_by_coords_kwargs=dict(\n", " compat=\"override\",\n", " data_vars=\"minimal\",\n", " coords=\"minimal\"\n", ")\n", "```\n", "\n", "See the xarray documentation on [Reading multi-file datasets](https://docs.xarray.dev/en/stable/user-guide/io.html#reading-multi-file-datasets) for more details about these arguments." ] }, { "cell_type": "markdown", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "## 2. Choosing chunksizes\n", "\n", "Correctly choosing chunk sizes when you open datasets will greatly improve the speed of your analysis. Check out the [Chunking tutorial](https://access-nri-intake-catalog.readthedocs.io/en/latest/usage/chunking.html) in the ACCESS-NRI Intake catalog documentation" ] }, { "cell_type": "markdown", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "## 3. Loading time-invariant variables" ] }, { "cell_type": "markdown", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "Many COSIMA experiments include multiple repeated files containing the same fixed frequency data (e.g. grid information). You can use the option `fx` for the frequency argument, otherwise the catalog fails to concatenate these files since they don't contain clear dimension to concatenate along." ] }, { "cell_type": "code", "execution_count": 20, "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "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", "/g/data/xp65/public/apps/med_conda/envs/analysis3-25.09/lib/python3.11/site-packages/intake_esm/source.py:308: ConcatenationWarning: Attempting to concatenate datasets without valid dimension coordinates: retaining only first dataset. Request valid dimension coordinate to silence this warning.\n", " warnings.warn(\n" ] }, { "data": { "text/html": [ "
\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
<xarray.Dataset> Size: 117MB\n",
       "Dimensions:   (yt_ocean: 2700, xt_ocean: 3600)\n",
       "Coordinates:\n",
       "  * xt_ocean  (xt_ocean) float64 29kB -279.9 -279.8 -279.7 ... 79.75 79.85 79.95\n",
       "  * yt_ocean  (yt_ocean) float64 22kB -81.11 -81.07 -81.02 ... 89.89 89.94 89.98\n",
       "    geolon_t  (yt_ocean, xt_ocean) float32 39MB dask.array<chunksize=(675, 900), meta=np.ndarray>\n",
       "    geolat_t  (yt_ocean, xt_ocean) float32 39MB dask.array<chunksize=(675, 900), meta=np.ndarray>\n",
       "Data variables:\n",
       "    area_t    (yt_ocean, xt_ocean) float32 39MB dask.array<chunksize=(675, 900), meta=np.ndarray>\n",
       "Attributes: (12/19)\n",
       "    filename:                                 ocean_grid.nc\n",
       "    title:                                    ACCESS-OM2-01\n",
       "    grid_type:                                mosaic\n",
       "    grid_tile:                                1\n",
       "    intake_esm_vars:                          ['area_t']\n",
       "    intake_esm_attrs:filename:                ocean_grid.nc\n",
       "    ...                                       ...\n",
       "    intake_esm_attrs:variable_standard_name:  ,,,,,,,,,,,sea_floor_depth_belo...\n",
       "    intake_esm_attrs:variable_cell_methods:   time: point,time: point,time: p...\n",
       "    intake_esm_attrs:variable_units:          m^2,m^2,dimensionless,m,m,m,m,d...\n",
       "    intake_esm_attrs:realm:                   ocean\n",
       "    intake_esm_attrs:_data_format_:           netcdf\n",
       "    intake_esm_dataset_key:                   ocean.fx.xt_ocean:3600.xu_ocean...
" ], "text/plain": [ " Size: 117MB\n", "Dimensions: (yt_ocean: 2700, xt_ocean: 3600)\n", "Coordinates:\n", " * xt_ocean (xt_ocean) float64 29kB -279.9 -279.8 -279.7 ... 79.75 79.85 79.95\n", " * yt_ocean (yt_ocean) float64 22kB -81.11 -81.07 -81.02 ... 89.89 89.94 89.98\n", " geolon_t (yt_ocean, xt_ocean) float32 39MB dask.array\n", " geolat_t (yt_ocean, xt_ocean) float32 39MB dask.array\n", "Data variables:\n", " area_t (yt_ocean, xt_ocean) float32 39MB dask.array\n", "Attributes: (12/19)\n", " filename: ocean_grid.nc\n", " title: ACCESS-OM2-01\n", " grid_type: mosaic\n", " grid_tile: 1\n", " intake_esm_vars: ['area_t']\n", " intake_esm_attrs:filename: ocean_grid.nc\n", " ... ...\n", " intake_esm_attrs:variable_standard_name: ,,,,,,,,,,,sea_floor_depth_belo...\n", " intake_esm_attrs:variable_cell_methods: time: point,time: point,time: p...\n", " intake_esm_attrs:variable_units: m^2,m^2,dimensionless,m,m,m,m,d...\n", " intake_esm_attrs:realm: ocean\n", " intake_esm_attrs:_data_format_: netcdf\n", " intake_esm_dataset_key: ocean.fx.xt_ocean:3600.xu_ocean..." ] }, "execution_count": 20, "metadata": {}, "output_type": "execute_result" } ], "source": [ "data_ic_fixed = catalog[experiment].search(\n", " variable='area_t',\n", " frequency='fx'\n", ").to_dask()\n", "data_ic_fixed" ] }, { "cell_type": "markdown", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "## 4. Determining what can be searched upon in an experiment\n", "\n", "You can see what can be `search`ed on within an experiment with:" ] }, { "cell_type": "code", "execution_count": 21, "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "['filename',\n", " 'path',\n", " 'file_id',\n", " 'frequency',\n", " 'start_date',\n", " 'end_date',\n", " 'variable',\n", " 'variable_long_name',\n", " 'variable_standard_name',\n", " 'variable_cell_methods',\n", " 'variable_units',\n", " 'realm']" ] }, "execution_count": 21, "metadata": {}, "output_type": "execute_result" } ], "source": [ "catalog[experiment].df.columns.tolist()" ] }, { "cell_type": "markdown", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "It can also be helpful sometimes to look at the `catalog[experiment].df` object itself, which is a dataframe of all of the files in the experiment and their metadata" ] }, { "cell_type": "code", "execution_count": 22, "metadata": { "editable": true, "scrolled": true, "slideshow": { "slide_type": "" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "
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filenamepathfile_idfrequencystart_dateend_datevariablevariable_long_namevariable_standard_namevariable_cell_methodsvariable_unitsrealm
0iceh.1900-01.nc/g/data/cj50/access-om2/raw-output/access-om2-01/01deg_jra55v13_ryf9091/output000/ice/OUTPUT/iceh.1900-01.ncseaIce.1mon.d2:2.nc:5.ni:3600.nj:27001mon1900-01-01, 00:00:001900-02-01, 00:00:00(ANGLE, ANGLET, HTE, HTN, NCAT, TLAT, TLON, Tsfc_m, ULAT, ULON, aice_m, aicen_m, alidf_ai_m, alidr_ai_m, alvdf_ai_m, alvdr_ai_m, blkmask, congel_m, divu_m, dxt, dxu, dyt, dyu, flatn_ai_m, fmeltt_a...(angle grid makes with latitude line on U grid, angle grid makes with latitude line on T grid, T cell width on East side, T cell width on North side, category maximum thickness, T grid center lati...(, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , )(, , , , , , , time: mean, , , time: mean, time: mean, time: mean, time: mean, time: mean, time: mean, , time: mean, time: mean, , , , , time: mean, time: mean, time: mean, time: mean, time: mean,...(radians, radians, m, m, m, degrees_north, degrees_east, C, degrees_north, degrees_east, 1, 1, %, %, %, %, , cm/day, %/day, m, m, m, m, W/m^2, W/m^2, W/m^2, cm/day, day of year, kg/m^2/s, kg/m^2/s...seaIce
1iceh.1900-02.nc/g/data/cj50/access-om2/raw-output/access-om2-01/01deg_jra55v13_ryf9091/output000/ice/OUTPUT/iceh.1900-02.ncseaIce.1mon.d2:2.nc:5.ni:3600.nj:27001mon1900-02-01, 00:00:001900-03-01, 00:00:00(ANGLE, ANGLET, HTE, HTN, NCAT, TLAT, TLON, Tsfc_m, ULAT, ULON, aice_m, aicen_m, alidf_ai_m, alidr_ai_m, alvdf_ai_m, alvdr_ai_m, blkmask, congel_m, divu_m, dxt, dxu, dyt, dyu, flatn_ai_m, fmeltt_a...(angle grid makes with latitude line on U grid, angle grid makes with latitude line on T grid, T cell width on East side, T cell width on North side, category maximum thickness, T grid center lati...(, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , )(, , , , , , , time: mean, , , time: mean, time: mean, time: mean, time: mean, time: mean, time: mean, , time: mean, time: mean, , , , , time: mean, time: mean, time: mean, time: mean, time: mean,...(radians, radians, m, m, m, degrees_north, degrees_east, C, degrees_north, degrees_east, 1, 1, %, %, %, %, , cm/day, %/day, m, m, m, m, W/m^2, W/m^2, W/m^2, cm/day, day of year, kg/m^2/s, kg/m^2/s...seaIce
2iceh.1900-03.nc/g/data/cj50/access-om2/raw-output/access-om2-01/01deg_jra55v13_ryf9091/output000/ice/OUTPUT/iceh.1900-03.ncseaIce.1mon.d2:2.nc:5.ni:3600.nj:27001mon1900-03-01, 00:00:001900-04-01, 00:00:00(ANGLE, ANGLET, HTE, HTN, NCAT, TLAT, TLON, Tsfc_m, ULAT, ULON, aice_m, aicen_m, alidf_ai_m, alidr_ai_m, alvdf_ai_m, alvdr_ai_m, blkmask, congel_m, divu_m, dxt, dxu, dyt, dyu, flatn_ai_m, fmeltt_a...(angle grid makes with latitude line on U grid, angle grid makes with latitude line on T grid, T cell width on East side, T cell width on North side, category maximum thickness, T grid center lati...(, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , )(, , , , , , , time: mean, , , time: mean, time: mean, time: mean, time: mean, time: mean, time: mean, , time: mean, time: mean, , , , , time: mean, time: mean, time: mean, time: mean, time: mean,...(radians, radians, m, m, m, degrees_north, degrees_east, C, degrees_north, degrees_east, 1, 1, %, %, %, %, , cm/day, %/day, m, m, m, m, W/m^2, W/m^2, W/m^2, cm/day, day of year, kg/m^2/s, kg/m^2/s...seaIce
3ocean.nc/g/data/cj50/access-om2/raw-output/access-om2-01/01deg_jra55v13_ryf9091/output000/ocean/ocean.ncocean.3mon.grid_xt_ocean:3600.grid_xu_ocean:3600.grid_yt_ocean:2700.grid_yu_ocean:2700.neutral:80.neutralrho_edges:81.nv:2.potrho:80.potrho_edges:81.st_edges_ocean:76.st_ocean:75.sw_edges_ocean:76...3mon1900-01-01, 00:00:001900-04-01, 00:00:00(age_global, average_DT, average_T1, average_T2, dzt, grid_xt_ocean, grid_xu_ocean, grid_yt_ocean, grid_yu_ocean, neutral, neutralrho_edges, nv, pot_rho_0, pot_temp, potrho, potrho_edges, rho, sal...(Age (global), Length of average period, Start time for average period, End time for average period, t-cell thickness, tcell longitude, ucell longitude, tcell latitude, ucell latitude, neutral den...(sea_water_age_since_surface_contact, , , , cell_thickness, , , , , , , , sea_water_potential_density, sea_water_potential_temperature, , , , sea_water_salinity, , , , , , , , , , ocean_mass_x_tra...(time: mean, , , , time: mean, , , , , , , , time: mean, time: mean, , , time: mean, time: mean, , , , , time: mean, time: mean, time: mean, , , time: mean, time: mean, time: mean, time: mean, tim...(yr, days, days since 1900-01-01 00:00:00, days since 1900-01-01 00:00:00, m, degrees_E, degrees_E, degrees_N, degrees_N, kg/m^3, kg/m^3, none, kg/m^3, degrees K, kg/m^3, kg/m^3, kg/m^3, psu, mete...ocean
4ocean_grid.nc/g/data/cj50/access-om2/raw-output/access-om2-01/01deg_jra55v13_ryf9091/output000/ocean/ocean_grid.ncocean.fx.xt_ocean:3600.xu_ocean:3600.yt_ocean:2700.yu_ocean:2700fx1900-04-01, 00:00:001900-04-01, 00:00:00(area_t, area_u, drag_coeff, dxt, dxu, dyt, dyu, geolat_c, geolat_t, geolon_c, geolon_t, ht, hu, kmt, kmu, time, xt_ocean, xu_ocean, yt_ocean, yu_ocean)(tracer cell area, velocity cell area, Dimensionless bottom drag coefficient, ocean dxt on t-cells, ocean dxu on u-cells, ocean dyt on t-cells, ocean dyu on u-cells, uv latitude, tracer latitude, ...(, , , , , , , , , , , sea_floor_depth_below_geoid, , , , , , , , )(time: point, time: point, time: point, time: point, time: point, time: point, time: point, time: point, time: point, time: point, time: point, time: point, time: point, time: point, time: point, ...(m^2, m^2, dimensionless, m, m, m, m, degrees_N, degrees_N, degrees_E, degrees_E, m, m, dimensionless, dimensionless, days since 1900-01-01 00:00:00, degrees_E, degrees_E, degrees_N, degrees_N)ocean
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" ], "text/plain": [ " filename \\\n", "0 iceh.1900-01.nc \n", "1 iceh.1900-02.nc \n", "2 iceh.1900-03.nc \n", "3 ocean.nc \n", "4 ocean_grid.nc \n", "\n", " path \\\n", "0 /g/data/cj50/access-om2/raw-output/access-om2-01/01deg_jra55v13_ryf9091/output000/ice/OUTPUT/iceh.1900-01.nc \n", "1 /g/data/cj50/access-om2/raw-output/access-om2-01/01deg_jra55v13_ryf9091/output000/ice/OUTPUT/iceh.1900-02.nc \n", "2 /g/data/cj50/access-om2/raw-output/access-om2-01/01deg_jra55v13_ryf9091/output000/ice/OUTPUT/iceh.1900-03.nc \n", "3 /g/data/cj50/access-om2/raw-output/access-om2-01/01deg_jra55v13_ryf9091/output000/ocean/ocean.nc \n", "4 /g/data/cj50/access-om2/raw-output/access-om2-01/01deg_jra55v13_ryf9091/output000/ocean/ocean_grid.nc \n", "\n", " file_id \\\n", "0 seaIce.1mon.d2:2.nc:5.ni:3600.nj:2700 \n", "1 seaIce.1mon.d2:2.nc:5.ni:3600.nj:2700 \n", "2 seaIce.1mon.d2:2.nc:5.ni:3600.nj:2700 \n", "3 ocean.3mon.grid_xt_ocean:3600.grid_xu_ocean:3600.grid_yt_ocean:2700.grid_yu_ocean:2700.neutral:80.neutralrho_edges:81.nv:2.potrho:80.potrho_edges:81.st_edges_ocean:76.st_ocean:75.sw_edges_ocean:76... \n", "4 ocean.fx.xt_ocean:3600.xu_ocean:3600.yt_ocean:2700.yu_ocean:2700 \n", "\n", " frequency start_date end_date \\\n", "0 1mon 1900-01-01, 00:00:00 1900-02-01, 00:00:00 \n", "1 1mon 1900-02-01, 00:00:00 1900-03-01, 00:00:00 \n", "2 1mon 1900-03-01, 00:00:00 1900-04-01, 00:00:00 \n", "3 3mon 1900-01-01, 00:00:00 1900-04-01, 00:00:00 \n", "4 fx 1900-04-01, 00:00:00 1900-04-01, 00:00:00 \n", "\n", " variable \\\n", "0 (ANGLE, ANGLET, HTE, HTN, NCAT, TLAT, TLON, Tsfc_m, ULAT, ULON, aice_m, aicen_m, alidf_ai_m, alidr_ai_m, alvdf_ai_m, alvdr_ai_m, blkmask, congel_m, divu_m, dxt, dxu, dyt, dyu, flatn_ai_m, fmeltt_a... \n", "1 (ANGLE, ANGLET, HTE, HTN, NCAT, TLAT, TLON, Tsfc_m, ULAT, ULON, aice_m, aicen_m, alidf_ai_m, alidr_ai_m, alvdf_ai_m, alvdr_ai_m, blkmask, congel_m, divu_m, dxt, dxu, dyt, dyu, flatn_ai_m, fmeltt_a... \n", "2 (ANGLE, ANGLET, HTE, HTN, NCAT, TLAT, TLON, Tsfc_m, ULAT, ULON, aice_m, aicen_m, alidf_ai_m, alidr_ai_m, alvdf_ai_m, alvdr_ai_m, blkmask, congel_m, divu_m, dxt, dxu, dyt, dyu, flatn_ai_m, fmeltt_a... \n", "3 (age_global, average_DT, average_T1, average_T2, dzt, grid_xt_ocean, grid_xu_ocean, grid_yt_ocean, grid_yu_ocean, neutral, neutralrho_edges, nv, pot_rho_0, pot_temp, potrho, potrho_edges, rho, sal... \n", "4 (area_t, area_u, drag_coeff, dxt, dxu, dyt, dyu, geolat_c, geolat_t, geolon_c, geolon_t, ht, hu, kmt, kmu, time, xt_ocean, xu_ocean, yt_ocean, yu_ocean) \n", "\n", " variable_long_name \\\n", "0 (angle grid makes with latitude line on U grid, angle grid makes with latitude line on T grid, T cell width on East side, T cell width on North side, category maximum thickness, T grid center lati... \n", "1 (angle grid makes with latitude line on U grid, angle grid makes with latitude line on T grid, T cell width on East side, T cell width on North side, category maximum thickness, T grid center lati... \n", "2 (angle grid makes with latitude line on U grid, angle grid makes with latitude line on T grid, T cell width on East side, T cell width on North side, category maximum thickness, T grid center lati... \n", "3 (Age (global), Length of average period, Start time for average period, End time for average period, t-cell thickness, tcell longitude, ucell longitude, tcell latitude, ucell latitude, neutral den... \n", "4 (tracer cell area, velocity cell area, Dimensionless bottom drag coefficient, ocean dxt on t-cells, ocean dxu on u-cells, ocean dyt on t-cells, ocean dyu on u-cells, uv latitude, tracer latitude, ... \n", "\n", " variable_standard_name \\\n", "0 (, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ) \n", "1 (, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ) \n", "2 (, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ) \n", "3 (sea_water_age_since_surface_contact, , , , cell_thickness, , , , , , , , sea_water_potential_density, sea_water_potential_temperature, , , , sea_water_salinity, , , , , , , , , , ocean_mass_x_tra... \n", "4 (, , , , , , , , , , , sea_floor_depth_below_geoid, , , , , , , , ) \n", "\n", " variable_cell_methods \\\n", "0 (, , , , , , , time: mean, , , time: mean, time: mean, time: mean, time: mean, time: mean, time: mean, , time: mean, time: mean, , , , , time: mean, time: mean, time: mean, time: mean, time: mean,... \n", "1 (, , , , , , , time: mean, , , time: mean, time: mean, time: mean, time: mean, time: mean, time: mean, , time: mean, time: mean, , , , , time: mean, time: mean, time: mean, time: mean, time: mean,... \n", "2 (, , , , , , , time: mean, , , time: mean, time: mean, time: mean, time: mean, time: mean, time: mean, , time: mean, time: mean, , , , , time: mean, time: mean, time: mean, time: mean, time: mean,... \n", "3 (time: mean, , , , time: mean, , , , , , , , time: mean, time: mean, , , time: mean, time: mean, , , , , time: mean, time: mean, time: mean, , , time: mean, time: mean, time: mean, time: mean, tim... \n", "4 (time: point, time: point, time: point, time: point, time: point, time: point, time: point, time: point, time: point, time: point, time: point, time: point, time: point, time: point, time: point, ... \n", "\n", " variable_units \\\n", "0 (radians, radians, m, m, m, degrees_north, degrees_east, C, degrees_north, degrees_east, 1, 1, %, %, %, %, , cm/day, %/day, m, m, m, m, W/m^2, W/m^2, W/m^2, cm/day, day of year, kg/m^2/s, kg/m^2/s... \n", "1 (radians, radians, m, m, m, degrees_north, degrees_east, C, degrees_north, degrees_east, 1, 1, %, %, %, %, , cm/day, %/day, m, m, m, m, W/m^2, W/m^2, W/m^2, cm/day, day of year, kg/m^2/s, kg/m^2/s... \n", "2 (radians, radians, m, m, m, degrees_north, degrees_east, C, degrees_north, degrees_east, 1, 1, %, %, %, %, , cm/day, %/day, m, m, m, m, W/m^2, W/m^2, W/m^2, cm/day, day of year, kg/m^2/s, kg/m^2/s... \n", "3 (yr, days, days since 1900-01-01 00:00:00, days since 1900-01-01 00:00:00, m, degrees_E, degrees_E, degrees_N, degrees_N, kg/m^3, kg/m^3, none, kg/m^3, degrees K, kg/m^3, kg/m^3, kg/m^3, psu, mete... \n", "4 (m^2, m^2, dimensionless, m, m, m, m, degrees_N, degrees_N, degrees_E, degrees_E, m, m, dimensionless, dimensionless, days since 1900-01-01 00:00:00, degrees_E, degrees_E, degrees_N, degrees_N) \n", "\n", " realm \n", "0 seaIce \n", "1 seaIce \n", "2 seaIce \n", "3 ocean \n", "4 ocean " ] }, "execution_count": 22, "metadata": {}, "output_type": "execute_result" } ], "source": [ "catalog[experiment].df.head()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 5. Finding all variables in an experiment\n", "\n", "You can get a list of all available variable names from an experiment with:\n" ] }, { "cell_type": "code", "execution_count": 23, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "['HTN', 'st_ocean', 'nv', 'mlt_onset_m', 'mld', 'grid_yu_ocean', 'total_ocean_lw_heat', 'grid_xt_ocean', 'dzt', 'eta_t', 'pme_net', 'kmt', 'sens_heat', 'potrho', 'total_ocean_swflx_vis', 'xu_ocean_sub01', 'total_ocean_melt', 'sfc_hflux_from_runoff', 'salt_global_ave', 'TLAT', 'total_ocean_fprec_melt_heat', 'alvdf_ai_m', 'average_T1', 'evap', 'yu_ocean_sub02', 'pbot_t', 'bih_fric_v', 'neutralrho_edges', 'yt_ocean_sub01', 'HTE', 'frazil_3d_int_z', 'fmeltt_ai_m', 'fprec_melt_heat', 'blkmask', 'vocn_m', 'temp_submeso', 'shear_m', 'alidf_ai_m', 'aicen_m', 'temp_surface_ave', 'tx_trans', 'eta_global', 'yu_ocean_sub01', 'total_ocean_hflux_prec', 'vhrho_nt', 'tx_trans_submeso', 'xu_ocean', 'salt_surface_ave', 'usurf', 'net_sfc_heating', 'total_ocean_hflux_evap', 'ULON', 'geolon_t', 'fswup_m', 'surface_salt', 'ke_tot', 'rho', 'river', 'ANGLE', 'temp_xflux_adv', 'vvel_m', 'pot_rho_1', 'sw_heat', 'yt_ocean', 'potrho_edges', 'total_ocean_runoff_heat', 'tx_trans_rho', 'xt_ocean', 'sfc_salt_flux_coupler', 'total_ocean_calving_heat', 'strairx_m', 'dxu', 'aice_m', 'total_ocean_fprec', 'temp_rivermix', 'ULAT', 'passive_weddell', 'fprec', 'xu_ocean_sub02', 'melt', 'total_ocean_sfc_salt_flux_coupler', 'fsalt_m', 'vsurf', 'pot_rho_2', 'drag_coeff', 'swflx', 'total_ocean_heat', 'pot_rho_0', 'average_DT', 'sss_m', 'uarea', 'geolat_c', 'sst_m', 'area_u', 'total_ocean_calving', 'passive_prydz', 'buoyfreq2_wt', 'uhrho_et', 'flatn_ai_m', 'salt', 'temp_vdiffuse_diff_cbt_conv', 'temp_tendency', 'uatm_m', 'fmelttn_ai_m', 'strairy_m', 'bih_fric_u', 'ty_trans_rho', 'geolat_t', 'yt_ocean_sub02', 'vert_pv', 'vicen_m', 'xt_ocean_sub02', 'temp_global_ave', 'ht', 'kmu', 'TLON', 'opening_m', 'wfimelt', 'sfc_salt_flux_restore', 'pe_tot', 'fsalt_ai_m', 'evap_heat', 'ANGLET', 'neutral', 'total_ocean_evap', 'yu_ocean', 'age_global', 'lw_heat', 'tau_x', 'sw_edges_ocean', 'ty_trans_nrho_submeso', 'temp_yflux_adv', 'strength_m', 'Tsfc_m', 'total_ocean_calving_melt_heat', 'ty_trans', 'divu_m', 'geolon_c', 'alidr_ai_m', 'passive_adelie', 'total_net_sfc_heating', 'time_bounds', 'hs_m', 'pot_temp', 'frz_onset_m', 'average_T2', 'congel_m', 'total_ocean_sens_heat', 'sfc_hflux_coupler', 'sea_level', 'tau_y', 'total_ocean_salt', 'sea_levelsq', 'lprec', 'total_ocean_river', 'dxt', 'xt_ocean_sub01', 'vatm_m', 'total_ocean_swflx', 'runoff', 'temp_advection', 'tarea', 'uvel_m', 'grid_xu_ocean', 'total_ocean_runoff', 'total_ocean_evap_heat', 'ty_trans_submeso', 'hu', 'scalar_axis', 'wfiform', 'v', 'total_ocean_lprec', 'dyt', 'sfc_hflux_pme', 'ty_trans_int_z', 'sig1_m', 'tmask', 'u_dot_grad_vert_pv', 'temp', 'total_ocean_hflux_coupler', 'uocn_m', 'temp_nonlocal_KPP', 'wt', 'rhoave', 'sfc_salt_flux_ice', 'NCAT', 'frazil_3d', 'sw_ocean', 'passive_ross', 'grid_yt_ocean', 'area_t', 'frazil_m', 'tx_trans_int_z', 'st_edges_ocean', 'total_ocean_pme_river', 'dyu', 'hi_m', 'alvdr_ai_m', 'surface_temp', 'total_ocean_river_heat', 'u', 'sig2_m', 'temp_vdiffuse_impl', 'time', 'pme_river']\n" ] } ], "source": [ "variables = catalog.search(name=experiment).unique().variable\n", "print(variables)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### We could similarly filter for any of the keys in our catalog - see the intake dataframe catalog below\n" ] }, { "cell_type": "code", "execution_count": 24, "metadata": {}, "outputs": [ { "data": { "text/html": [ "

Intake dataframe catalog with 1 source(s) across 6 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
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}{3mon, 3hr, 1day, fx, 1mon}{HTN, st_ocean, nv, mlt_onset_m, mld, grid_yu_ocean, total_ocean_lw_heat, grid_xt_ocean, dzt, eta_t, pme_net, kmt, sens_heat, potrho, total_ocean_swflx_vis, xu_ocean_sub01, total_ocean_melt, sfc_h...
\n", "
" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "catalog.search(name=experiment)" ] }, { "cell_type": "code", "execution_count": 25, "metadata": {}, "outputs": [ { "data": { "text/html": [ "

Intake dataframe catalog with 1 source(s) across 5 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
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}{3mon, 3hr, 1day, fx, 1mon}{st_ocean, nv, mld, grid_yu_ocean, total_ocean_lw_heat, grid_xt_ocean, dzt, eta_t, pme_net, kmt, sens_heat, potrho, total_ocean_swflx_vis, xu_ocean_sub01, total_ocean_melt, sfc_hflux_from_runoff, ...
\n", "
" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "catalog.search(name=experiment, realm = 'ocean')" ] }, { "cell_type": "code", "execution_count": 26, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "['3mon', '3hr', '1day', 'fx', '1mon']" ] }, "execution_count": 26, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Lets pull out all the unique frequencies, just like we did for variable above\n", "catalog.search(name=experiment, realm='ocean').unique().frequency" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We could also open the experiment (using square brackets) to search for variables, frequencies, etc. - but this opens the datastore: see how the output of the cell below is displayed differently.\n", "\n", "If we open the datastore: \n", "1. It is slower - opening datastores requires extra work\n", "2. The items we can search on might change - the datastore below contains no model field, for example.\n", "\n", "The opened datastore can contain extra information, eg. `variable_long_name` below - so sometimes you might want to open it to search the datastore. In general, try to use `catalog.search(name='xyz',...)` before you use `catalog['xyz'].search(...)`, though." ] }, { "cell_type": "code", "execution_count": 27, "metadata": {}, "outputs": [ { "data": { "text/html": [ "

01deg_jra55v13_ryf9091 catalog with 22 dataset(s) from 11947 asset(s):

\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", " \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", " \n", "
unique
filename3469
path11947
file_id22
frequency5
start_date3361
end_date3360
variable205
variable_long_name197
variable_standard_name36
variable_cell_methods3
variable_units52
realm2
derived_variable0
\n", "
" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "catalog[experiment]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "For more information about the available variables, you can use the following command function - just copy and paste it in where you need it:" ] }, { "cell_type": "code", "execution_count": 28, "metadata": {}, "outputs": [], "source": [ "from intake_esm.utils import MinimalExploder\n", "\n", "def get_detailed_variable_info(intake_catalog, experiment_name : str, variable : str | None = None) -> \"pd.Dataframe\":\n", " \"\"\"\n", " Get detailed information about all the variables available in an experiment contained within the catalog.\n", "\n", " If a specific variable is passed, then the returned dataframe will be filtered to include only information\n", " about that variable\n", "\n", " Returns a pandas dataframe, reorganised to use the variable as the index.\n", "\n", " Parameters:\n", " -----------\n", " intake_catalog: \n", " The variable holding the intake catalog. If you have opened the catalog using\n", " `cat = intake.cat.access_nri`, then `intake_catalog=cat`, etc.\n", " experiment_name: str\n", " The name of the experiment you are interested in. Eg. `experiment = \"01deg_jra55v13_ryf9091\"`\n", " variable: str | None\n", " If you want detailed information about just a single variable, then pass it here. For \n", " example, if you only want information about potential temperature, pass `variable='pot_temp'`\n", " \"\"\"\n", "\n", "\n", " expt_ds = intake_catalog[experiment_name]\n", " df = MinimalExploder(expt_ds.esmcat.pl_df)()\n", "\n", " df = df.unique('variable').sort('variable')\n", " \n", " df = df.to_pandas().set_index(\"variable\")\n", "\n", " return df\n", " " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "To get detailed info about all variables:" ] }, { "cell_type": "code", "execution_count": 29, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\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", " \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", " \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", " \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", " \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", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
filenamepathfile_idfrequencystart_dateend_datevariable_long_namevariable_standard_namevariable_cell_methodsvariable_unitsrealm
variable
ANGLEiceh.1900-01.nc/g/data/cj50/access-om2/raw-output/access-om2-01/01deg_jra55v13_ryf9091/output000/ice/OUTPUT/iceh.1900-01.ncseaIce.1mon.d2:2.nc:5.ni:3600.nj:27001mon1900-01-01, 00:00:001900-02-01, 00:00:00angle grid makes with latitude line on U gridradiansseaIce
ANGLETiceh.1900-01.nc/g/data/cj50/access-om2/raw-output/access-om2-01/01deg_jra55v13_ryf9091/output000/ice/OUTPUT/iceh.1900-01.ncseaIce.1mon.d2:2.nc:5.ni:3600.nj:27001mon1900-01-01, 00:00:001900-02-01, 00:00:00angle grid makes with latitude line on T gridradiansseaIce
HTEiceh.1900-01.nc/g/data/cj50/access-om2/raw-output/access-om2-01/01deg_jra55v13_ryf9091/output000/ice/OUTPUT/iceh.1900-01.ncseaIce.1mon.d2:2.nc:5.ni:3600.nj:27001mon1900-01-01, 00:00:001900-02-01, 00:00:00T cell width on East sidemseaIce
HTNiceh.1900-01.nc/g/data/cj50/access-om2/raw-output/access-om2-01/01deg_jra55v13_ryf9091/output000/ice/OUTPUT/iceh.1900-01.ncseaIce.1mon.d2:2.nc:5.ni:3600.nj:27001mon1900-01-01, 00:00:001900-02-01, 00:00:00T cell width on North sidemseaIce
NCATiceh.1900-01.nc/g/data/cj50/access-om2/raw-output/access-om2-01/01deg_jra55v13_ryf9091/output000/ice/OUTPUT/iceh.1900-01.ncseaIce.1mon.d2:2.nc:5.ni:3600.nj:27001mon1900-01-01, 00:00:001900-02-01, 00:00:00category maximum thicknessmseaIce
TLATiceh.1900-01.nc/g/data/cj50/access-om2/raw-output/access-om2-01/01deg_jra55v13_ryf9091/output000/ice/OUTPUT/iceh.1900-01.ncseaIce.1mon.d2:2.nc:5.ni:3600.nj:27001mon1900-01-01, 00:00:001900-02-01, 00:00:00T grid center latitudedegrees_northseaIce
TLONiceh.1900-01.nc/g/data/cj50/access-om2/raw-output/access-om2-01/01deg_jra55v13_ryf9091/output000/ice/OUTPUT/iceh.1900-01.ncseaIce.1mon.d2:2.nc:5.ni:3600.nj:27001mon1900-01-01, 00:00:001900-02-01, 00:00:00T grid center longitudedegrees_eastseaIce
Tsfc_miceh.1900-01.nc/g/data/cj50/access-om2/raw-output/access-om2-01/01deg_jra55v13_ryf9091/output000/ice/OUTPUT/iceh.1900-01.ncseaIce.1mon.d2:2.nc:5.ni:3600.nj:27001mon1900-01-01, 00:00:001900-02-01, 00:00:00snow/ice surface temperaturetime: meanCseaIce
ULATiceh.1900-01.nc/g/data/cj50/access-om2/raw-output/access-om2-01/01deg_jra55v13_ryf9091/output000/ice/OUTPUT/iceh.1900-01.ncseaIce.1mon.d2:2.nc:5.ni:3600.nj:27001mon1900-01-01, 00:00:001900-02-01, 00:00:00U grid center latitudedegrees_northseaIce
ULONiceh.1900-01.nc/g/data/cj50/access-om2/raw-output/access-om2-01/01deg_jra55v13_ryf9091/output000/ice/OUTPUT/iceh.1900-01.ncseaIce.1mon.d2:2.nc:5.ni:3600.nj:27001mon1900-01-01, 00:00:001900-02-01, 00:00:00U grid center longitudedegrees_eastseaIce
\n", "
" ], "text/plain": [ " filename \\\n", "variable \n", "ANGLE iceh.1900-01.nc \n", "ANGLET iceh.1900-01.nc \n", "HTE iceh.1900-01.nc \n", "HTN iceh.1900-01.nc \n", "NCAT iceh.1900-01.nc \n", "TLAT iceh.1900-01.nc \n", "TLON iceh.1900-01.nc \n", "Tsfc_m iceh.1900-01.nc \n", "ULAT iceh.1900-01.nc \n", "ULON iceh.1900-01.nc \n", "\n", " path \\\n", "variable \n", "ANGLE /g/data/cj50/access-om2/raw-output/access-om2-01/01deg_jra55v13_ryf9091/output000/ice/OUTPUT/iceh.1900-01.nc \n", "ANGLET /g/data/cj50/access-om2/raw-output/access-om2-01/01deg_jra55v13_ryf9091/output000/ice/OUTPUT/iceh.1900-01.nc \n", "HTE /g/data/cj50/access-om2/raw-output/access-om2-01/01deg_jra55v13_ryf9091/output000/ice/OUTPUT/iceh.1900-01.nc \n", "HTN /g/data/cj50/access-om2/raw-output/access-om2-01/01deg_jra55v13_ryf9091/output000/ice/OUTPUT/iceh.1900-01.nc \n", "NCAT /g/data/cj50/access-om2/raw-output/access-om2-01/01deg_jra55v13_ryf9091/output000/ice/OUTPUT/iceh.1900-01.nc \n", "TLAT /g/data/cj50/access-om2/raw-output/access-om2-01/01deg_jra55v13_ryf9091/output000/ice/OUTPUT/iceh.1900-01.nc \n", "TLON /g/data/cj50/access-om2/raw-output/access-om2-01/01deg_jra55v13_ryf9091/output000/ice/OUTPUT/iceh.1900-01.nc \n", "Tsfc_m /g/data/cj50/access-om2/raw-output/access-om2-01/01deg_jra55v13_ryf9091/output000/ice/OUTPUT/iceh.1900-01.nc \n", "ULAT /g/data/cj50/access-om2/raw-output/access-om2-01/01deg_jra55v13_ryf9091/output000/ice/OUTPUT/iceh.1900-01.nc \n", "ULON /g/data/cj50/access-om2/raw-output/access-om2-01/01deg_jra55v13_ryf9091/output000/ice/OUTPUT/iceh.1900-01.nc \n", "\n", " file_id frequency \\\n", "variable \n", "ANGLE seaIce.1mon.d2:2.nc:5.ni:3600.nj:2700 1mon \n", "ANGLET seaIce.1mon.d2:2.nc:5.ni:3600.nj:2700 1mon \n", "HTE seaIce.1mon.d2:2.nc:5.ni:3600.nj:2700 1mon \n", "HTN seaIce.1mon.d2:2.nc:5.ni:3600.nj:2700 1mon \n", "NCAT seaIce.1mon.d2:2.nc:5.ni:3600.nj:2700 1mon \n", "TLAT seaIce.1mon.d2:2.nc:5.ni:3600.nj:2700 1mon \n", "TLON seaIce.1mon.d2:2.nc:5.ni:3600.nj:2700 1mon \n", "Tsfc_m seaIce.1mon.d2:2.nc:5.ni:3600.nj:2700 1mon \n", "ULAT seaIce.1mon.d2:2.nc:5.ni:3600.nj:2700 1mon \n", "ULON seaIce.1mon.d2:2.nc:5.ni:3600.nj:2700 1mon \n", "\n", " start_date end_date \\\n", "variable \n", "ANGLE 1900-01-01, 00:00:00 1900-02-01, 00:00:00 \n", "ANGLET 1900-01-01, 00:00:00 1900-02-01, 00:00:00 \n", "HTE 1900-01-01, 00:00:00 1900-02-01, 00:00:00 \n", "HTN 1900-01-01, 00:00:00 1900-02-01, 00:00:00 \n", "NCAT 1900-01-01, 00:00:00 1900-02-01, 00:00:00 \n", "TLAT 1900-01-01, 00:00:00 1900-02-01, 00:00:00 \n", "TLON 1900-01-01, 00:00:00 1900-02-01, 00:00:00 \n", "Tsfc_m 1900-01-01, 00:00:00 1900-02-01, 00:00:00 \n", "ULAT 1900-01-01, 00:00:00 1900-02-01, 00:00:00 \n", "ULON 1900-01-01, 00:00:00 1900-02-01, 00:00:00 \n", "\n", " variable_long_name \\\n", "variable \n", "ANGLE angle grid makes with latitude line on U grid \n", "ANGLET angle grid makes with latitude line on T grid \n", "HTE T cell width on East side \n", "HTN T cell width on North side \n", "NCAT category maximum thickness \n", "TLAT T grid center latitude \n", "TLON T grid center longitude \n", "Tsfc_m snow/ice surface temperature \n", "ULAT U grid center latitude \n", "ULON U grid center longitude \n", "\n", " variable_standard_name variable_cell_methods variable_units realm \n", "variable \n", "ANGLE radians seaIce \n", "ANGLET radians seaIce \n", "HTE m seaIce \n", "HTN m seaIce \n", "NCAT m seaIce \n", "TLAT degrees_north seaIce \n", "TLON degrees_east seaIce \n", "Tsfc_m time: mean C seaIce \n", "ULAT degrees_north seaIce \n", "ULON degrees_east seaIce " ] }, "execution_count": 29, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df = get_detailed_variable_info(catalog, experiment)\n", "df.head(10)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Say we are only interested in zonal wind stress, `tau_x`:" ] }, { "cell_type": "code", "execution_count": 30, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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filenamepathfile_idfrequencystart_dateend_datevariable_long_namevariable_standard_namevariable_cell_methodsvariable_unitsrealm
variable
ANGLEiceh.1900-01.nc/g/data/cj50/access-om2/raw-output/access-om2-01/01deg_jra55v13_ryf9091/output000/ice/OUTPUT/iceh.1900-01.ncseaIce.1mon.d2:2.nc:5.ni:3600.nj:27001mon1900-01-01, 00:00:001900-02-01, 00:00:00angle grid makes with latitude line on U gridradiansseaIce
ANGLETiceh.1900-01.nc/g/data/cj50/access-om2/raw-output/access-om2-01/01deg_jra55v13_ryf9091/output000/ice/OUTPUT/iceh.1900-01.ncseaIce.1mon.d2:2.nc:5.ni:3600.nj:27001mon1900-01-01, 00:00:001900-02-01, 00:00:00angle grid makes with latitude line on T gridradiansseaIce
HTEiceh.1900-01.nc/g/data/cj50/access-om2/raw-output/access-om2-01/01deg_jra55v13_ryf9091/output000/ice/OUTPUT/iceh.1900-01.ncseaIce.1mon.d2:2.nc:5.ni:3600.nj:27001mon1900-01-01, 00:00:001900-02-01, 00:00:00T cell width on East sidemseaIce
HTNiceh.1900-01.nc/g/data/cj50/access-om2/raw-output/access-om2-01/01deg_jra55v13_ryf9091/output000/ice/OUTPUT/iceh.1900-01.ncseaIce.1mon.d2:2.nc:5.ni:3600.nj:27001mon1900-01-01, 00:00:001900-02-01, 00:00:00T cell width on North sidemseaIce
NCATiceh.1900-01.nc/g/data/cj50/access-om2/raw-output/access-om2-01/01deg_jra55v13_ryf9091/output000/ice/OUTPUT/iceh.1900-01.ncseaIce.1mon.d2:2.nc:5.ni:3600.nj:27001mon1900-01-01, 00:00:001900-02-01, 00:00:00category maximum thicknessmseaIce
TLATiceh.1900-01.nc/g/data/cj50/access-om2/raw-output/access-om2-01/01deg_jra55v13_ryf9091/output000/ice/OUTPUT/iceh.1900-01.ncseaIce.1mon.d2:2.nc:5.ni:3600.nj:27001mon1900-01-01, 00:00:001900-02-01, 00:00:00T grid center latitudedegrees_northseaIce
TLONiceh.1900-01.nc/g/data/cj50/access-om2/raw-output/access-om2-01/01deg_jra55v13_ryf9091/output000/ice/OUTPUT/iceh.1900-01.ncseaIce.1mon.d2:2.nc:5.ni:3600.nj:27001mon1900-01-01, 00:00:001900-02-01, 00:00:00T grid center longitudedegrees_eastseaIce
Tsfc_miceh.1900-01.nc/g/data/cj50/access-om2/raw-output/access-om2-01/01deg_jra55v13_ryf9091/output000/ice/OUTPUT/iceh.1900-01.ncseaIce.1mon.d2:2.nc:5.ni:3600.nj:27001mon1900-01-01, 00:00:001900-02-01, 00:00:00snow/ice surface temperaturetime: meanCseaIce
ULATiceh.1900-01.nc/g/data/cj50/access-om2/raw-output/access-om2-01/01deg_jra55v13_ryf9091/output000/ice/OUTPUT/iceh.1900-01.ncseaIce.1mon.d2:2.nc:5.ni:3600.nj:27001mon1900-01-01, 00:00:001900-02-01, 00:00:00U grid center latitudedegrees_northseaIce
ULONiceh.1900-01.nc/g/data/cj50/access-om2/raw-output/access-om2-01/01deg_jra55v13_ryf9091/output000/ice/OUTPUT/iceh.1900-01.ncseaIce.1mon.d2:2.nc:5.ni:3600.nj:27001mon1900-01-01, 00:00:001900-02-01, 00:00:00U grid center longitudedegrees_eastseaIce
\n", "
" ], "text/plain": [ " filename \\\n", "variable \n", "ANGLE iceh.1900-01.nc \n", "ANGLET iceh.1900-01.nc \n", "HTE iceh.1900-01.nc \n", "HTN iceh.1900-01.nc \n", "NCAT iceh.1900-01.nc \n", "TLAT iceh.1900-01.nc \n", "TLON iceh.1900-01.nc \n", "Tsfc_m iceh.1900-01.nc \n", "ULAT iceh.1900-01.nc \n", "ULON iceh.1900-01.nc \n", "\n", " path \\\n", "variable \n", "ANGLE /g/data/cj50/access-om2/raw-output/access-om2-01/01deg_jra55v13_ryf9091/output000/ice/OUTPUT/iceh.1900-01.nc \n", "ANGLET /g/data/cj50/access-om2/raw-output/access-om2-01/01deg_jra55v13_ryf9091/output000/ice/OUTPUT/iceh.1900-01.nc \n", "HTE /g/data/cj50/access-om2/raw-output/access-om2-01/01deg_jra55v13_ryf9091/output000/ice/OUTPUT/iceh.1900-01.nc \n", "HTN /g/data/cj50/access-om2/raw-output/access-om2-01/01deg_jra55v13_ryf9091/output000/ice/OUTPUT/iceh.1900-01.nc \n", "NCAT /g/data/cj50/access-om2/raw-output/access-om2-01/01deg_jra55v13_ryf9091/output000/ice/OUTPUT/iceh.1900-01.nc \n", "TLAT /g/data/cj50/access-om2/raw-output/access-om2-01/01deg_jra55v13_ryf9091/output000/ice/OUTPUT/iceh.1900-01.nc \n", "TLON /g/data/cj50/access-om2/raw-output/access-om2-01/01deg_jra55v13_ryf9091/output000/ice/OUTPUT/iceh.1900-01.nc \n", "Tsfc_m /g/data/cj50/access-om2/raw-output/access-om2-01/01deg_jra55v13_ryf9091/output000/ice/OUTPUT/iceh.1900-01.nc \n", "ULAT /g/data/cj50/access-om2/raw-output/access-om2-01/01deg_jra55v13_ryf9091/output000/ice/OUTPUT/iceh.1900-01.nc \n", "ULON /g/data/cj50/access-om2/raw-output/access-om2-01/01deg_jra55v13_ryf9091/output000/ice/OUTPUT/iceh.1900-01.nc \n", "\n", " file_id frequency \\\n", "variable \n", "ANGLE seaIce.1mon.d2:2.nc:5.ni:3600.nj:2700 1mon \n", "ANGLET seaIce.1mon.d2:2.nc:5.ni:3600.nj:2700 1mon \n", "HTE seaIce.1mon.d2:2.nc:5.ni:3600.nj:2700 1mon \n", "HTN seaIce.1mon.d2:2.nc:5.ni:3600.nj:2700 1mon \n", "NCAT seaIce.1mon.d2:2.nc:5.ni:3600.nj:2700 1mon \n", "TLAT seaIce.1mon.d2:2.nc:5.ni:3600.nj:2700 1mon \n", "TLON seaIce.1mon.d2:2.nc:5.ni:3600.nj:2700 1mon \n", "Tsfc_m seaIce.1mon.d2:2.nc:5.ni:3600.nj:2700 1mon \n", "ULAT seaIce.1mon.d2:2.nc:5.ni:3600.nj:2700 1mon \n", "ULON seaIce.1mon.d2:2.nc:5.ni:3600.nj:2700 1mon \n", "\n", " start_date end_date \\\n", "variable \n", "ANGLE 1900-01-01, 00:00:00 1900-02-01, 00:00:00 \n", "ANGLET 1900-01-01, 00:00:00 1900-02-01, 00:00:00 \n", "HTE 1900-01-01, 00:00:00 1900-02-01, 00:00:00 \n", "HTN 1900-01-01, 00:00:00 1900-02-01, 00:00:00 \n", "NCAT 1900-01-01, 00:00:00 1900-02-01, 00:00:00 \n", "TLAT 1900-01-01, 00:00:00 1900-02-01, 00:00:00 \n", "TLON 1900-01-01, 00:00:00 1900-02-01, 00:00:00 \n", "Tsfc_m 1900-01-01, 00:00:00 1900-02-01, 00:00:00 \n", "ULAT 1900-01-01, 00:00:00 1900-02-01, 00:00:00 \n", "ULON 1900-01-01, 00:00:00 1900-02-01, 00:00:00 \n", "\n", " variable_long_name \\\n", "variable \n", "ANGLE angle grid makes with latitude line on U grid \n", "ANGLET angle grid makes with latitude line on T grid \n", "HTE T cell width on East side \n", "HTN T cell width on North side \n", "NCAT category maximum thickness \n", "TLAT T grid center latitude \n", "TLON T grid center longitude \n", "Tsfc_m snow/ice surface temperature \n", "ULAT U grid center latitude \n", "ULON U grid center longitude \n", "\n", " variable_standard_name variable_cell_methods variable_units realm \n", "variable \n", "ANGLE radians seaIce \n", "ANGLET radians seaIce \n", "HTE m seaIce \n", "HTN m seaIce \n", "NCAT m seaIce \n", "TLAT degrees_north seaIce \n", "TLON degrees_east seaIce \n", "Tsfc_m time: mean C seaIce \n", "ULAT degrees_north seaIce \n", "ULON degrees_east seaIce " ] }, "execution_count": 30, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df = get_detailed_variable_info(catalog, experiment, 'tau_x')\n", "df.head(10)" ] }, { "cell_type": "markdown", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "If you have any further questions after reading this notebook and the documentation linked from this notebook, please open an issue in the [ACCESS-NRI Intake catalog Github repo](https://github.com/ACCESS-NRI/access-nri-intake-catalog) or open topic on the [ACCESS-Hive forum](https://forum.access-hive.org.au/)." ] }, { "cell_type": "code", "execution_count": null, "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "outputs": [], "source": [ "client.close()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "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" } }, "nbformat": 4, "nbformat_minor": 4 }