{ "cells": [ { "cell_type": "markdown", "id": "d42fc115-6798-4af5-8150-ad1f078fefcc", "metadata": { "tags": [] }, "source": [ "# Cross-contour transport\n", "\n", "This notebook calculates the transport across an arbitrary contour. We do this by first creating the contour, such as sea surface height, and extracting the coordinates using `matplotlib`'s `Path` class. We then create some masks to indicate which direction is across the contour at each position along the contour. We then load the transport data and compute the transport, resulting in data with dimensions depth and along contour index. \n", "\n", "Computation times shown used conda environment `analysis3-25.05` on 28 broadwell cpus.\n", "\n", "**Alert:** After including the additional cases the contour number doesn't always monotonically increase along the contour. At the moment, the two indices that are set at the same time are adjacent numbers, whereas if you were following the contour you'd expect their numbers to be 2 apart with the other coordinate in between. See https://github.com/COSIMA/cosima-recipes/issues/383.\n", "\n", "First, we load useful packages:" ] }, { "cell_type": "code", "execution_count": 1, "id": "9317acde-1a95-41f7-a7a7-ab60f9a33540", "metadata": {}, "outputs": [], "source": [ "import pandas as pd\n", "import intake\n", "import dask\n", "import matplotlib.pyplot as plt\n", "import netCDF4 as nc\n", "import xarray as xr\n", "import numpy as np\n", "import cmocean\n", "\n", "from dask.distributed import Client\n", "\n", "catalog = intake.cat.access_nri" ] }, { "cell_type": "code", "execution_count": 2, "id": "789a9952-1884-4633-aa20-60c05cce513b", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Client

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Client-f30f1504-3791-11f0-9fd4-000003cefe80

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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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5cd92034

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\n", " Dashboard: /proxy/8787/status\n", " \n", " Workers: 28\n", "
\n", " Total threads: 28\n", " \n", " Total memory: 125.19 GiB\n", "
Status: runningUsing processes: True
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Scheduler Info

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Scheduler

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Scheduler-40bcf351-3ada-4ebd-9973-49e9b8f41270

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\n", " Comm: tcp://127.0.0.1:35729\n", " \n", " Workers: 28\n", "
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\n", " Started: Just now\n", " \n", " Total memory: 125.19 GiB\n", "
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Workers

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Worker: 0

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\n", " Comm: tcp://127.0.0.1:38901\n", " \n", " Total threads: 1\n", "
\n", " Dashboard: /proxy/40097/status\n", " \n", " Memory: 4.47 GiB\n", "
\n", " Nanny: tcp://127.0.0.1:38921\n", "
\n", " Local directory: /jobfs/141529842.gadi-pbs/dask-scratch-space/worker-cq8hjv9w\n", "
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Worker: 1

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\n", " Comm: tcp://127.0.0.1:41591\n", " \n", " Total threads: 1\n", "
\n", " Dashboard: /proxy/34163/status\n", " \n", " Memory: 4.47 GiB\n", "
\n", " Nanny: tcp://127.0.0.1:43765\n", "
\n", " Local directory: /jobfs/141529842.gadi-pbs/dask-scratch-space/worker-6d1lp03f\n", "
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Worker: 2

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\n", " Comm: tcp://127.0.0.1:38673\n", " \n", " Total threads: 1\n", "
\n", " Dashboard: /proxy/41859/status\n", " \n", " Memory: 4.47 GiB\n", "
\n", " Nanny: tcp://127.0.0.1:34227\n", "
\n", " Local directory: /jobfs/141529842.gadi-pbs/dask-scratch-space/worker-fwjg53x2\n", "
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Worker: 3

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\n", " Comm: tcp://127.0.0.1:41181\n", " \n", " Total threads: 1\n", "
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\n", " Nanny: tcp://127.0.0.1:42537\n", "
\n", " Local directory: /jobfs/141529842.gadi-pbs/dask-scratch-space/worker-d0yklhna\n", "
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Worker: 4

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\n", " Comm: tcp://127.0.0.1:46767\n", " \n", " Total threads: 1\n", "
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\n", " Nanny: tcp://127.0.0.1:44261\n", "
\n", " Local directory: /jobfs/141529842.gadi-pbs/dask-scratch-space/worker-g_ryq9wx\n", "
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Worker: 5

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\n", " Comm: tcp://127.0.0.1:39357\n", " \n", " Total threads: 1\n", "
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\n", " Nanny: tcp://127.0.0.1:38521\n", "
\n", " Local directory: /jobfs/141529842.gadi-pbs/dask-scratch-space/worker-v3cfr92h\n", "
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Worker: 6

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\n", " Comm: tcp://127.0.0.1:34003\n", " \n", " Total threads: 1\n", "
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\n", " Nanny: tcp://127.0.0.1:44443\n", "
\n", " Local directory: /jobfs/141529842.gadi-pbs/dask-scratch-space/worker-fqmpftaw\n", "
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Worker: 7

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\n", " Comm: tcp://127.0.0.1:38019\n", " \n", " Total threads: 1\n", "
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\n", " Nanny: tcp://127.0.0.1:39479\n", "
\n", " Local directory: /jobfs/141529842.gadi-pbs/dask-scratch-space/worker-06wkz1g5\n", "
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Worker: 8

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\n", " Comm: tcp://127.0.0.1:41985\n", " \n", " Total threads: 1\n", "
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\n", " Nanny: tcp://127.0.0.1:43061\n", "
\n", " Local directory: /jobfs/141529842.gadi-pbs/dask-scratch-space/worker-itv9sy41\n", "
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Worker: 9

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\n", " Comm: tcp://127.0.0.1:34969\n", " \n", " Total threads: 1\n", "
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\n", " Nanny: tcp://127.0.0.1:34761\n", "
\n", " Local directory: /jobfs/141529842.gadi-pbs/dask-scratch-space/worker-2qs58qgq\n", "
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Worker: 10

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\n", " Comm: tcp://127.0.0.1:44547\n", " \n", " Total threads: 1\n", "
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\n", " Nanny: tcp://127.0.0.1:46731\n", "
\n", " Local directory: /jobfs/141529842.gadi-pbs/dask-scratch-space/worker-02emdfl4\n", "
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Worker: 11

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\n", " Comm: tcp://127.0.0.1:39039\n", " \n", " Total threads: 1\n", "
\n", " Dashboard: /proxy/33463/status\n", " \n", " Memory: 4.47 GiB\n", "
\n", " Nanny: tcp://127.0.0.1:38857\n", "
\n", " Local directory: /jobfs/141529842.gadi-pbs/dask-scratch-space/worker-domn0w_l\n", "
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Worker: 12

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\n", " Comm: tcp://127.0.0.1:33305\n", " \n", " Total threads: 1\n", "
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\n", " Nanny: tcp://127.0.0.1:33905\n", "
\n", " Local directory: /jobfs/141529842.gadi-pbs/dask-scratch-space/worker-zhpbx19o\n", "
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Worker: 13

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\n", " Comm: tcp://127.0.0.1:37969\n", " \n", " Total threads: 1\n", "
\n", " Dashboard: /proxy/41025/status\n", " \n", " Memory: 4.47 GiB\n", "
\n", " Nanny: tcp://127.0.0.1:41509\n", "
\n", " Local directory: /jobfs/141529842.gadi-pbs/dask-scratch-space/worker-a0tu05jr\n", "
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Worker: 14

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\n", " Comm: tcp://127.0.0.1:32877\n", " \n", " Total threads: 1\n", "
\n", " Dashboard: /proxy/35755/status\n", " \n", " Memory: 4.47 GiB\n", "
\n", " Nanny: tcp://127.0.0.1:39581\n", "
\n", " Local directory: /jobfs/141529842.gadi-pbs/dask-scratch-space/worker-5czsqucw\n", "
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Worker: 15

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\n", " Comm: tcp://127.0.0.1:39699\n", " \n", " Total threads: 1\n", "
\n", " Dashboard: /proxy/39053/status\n", " \n", " Memory: 4.47 GiB\n", "
\n", " Nanny: tcp://127.0.0.1:41541\n", "
\n", " Local directory: /jobfs/141529842.gadi-pbs/dask-scratch-space/worker-uuui82b5\n", "
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Worker: 16

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\n", " Comm: tcp://127.0.0.1:45937\n", " \n", " Total threads: 1\n", "
\n", " Dashboard: /proxy/33459/status\n", " \n", " Memory: 4.47 GiB\n", "
\n", " Nanny: tcp://127.0.0.1:42693\n", "
\n", " Local directory: /jobfs/141529842.gadi-pbs/dask-scratch-space/worker-jdo0ldar\n", "
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Worker: 17

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\n", " Comm: tcp://127.0.0.1:35901\n", " \n", " Total threads: 1\n", "
\n", " Dashboard: /proxy/36989/status\n", " \n", " Memory: 4.47 GiB\n", "
\n", " Nanny: tcp://127.0.0.1:41915\n", "
\n", " Local directory: /jobfs/141529842.gadi-pbs/dask-scratch-space/worker-d43ynp77\n", "
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Worker: 18

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\n", " Comm: tcp://127.0.0.1:43133\n", " \n", " Total threads: 1\n", "
\n", " Dashboard: /proxy/41395/status\n", " \n", " Memory: 4.47 GiB\n", "
\n", " Nanny: tcp://127.0.0.1:45895\n", "
\n", " Local directory: /jobfs/141529842.gadi-pbs/dask-scratch-space/worker-07g1jxa_\n", "
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Worker: 19

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\n", " Comm: tcp://127.0.0.1:45767\n", " \n", " Total threads: 1\n", "
\n", " Dashboard: /proxy/42873/status\n", " \n", " Memory: 4.47 GiB\n", "
\n", " Nanny: tcp://127.0.0.1:37787\n", "
\n", " Local directory: /jobfs/141529842.gadi-pbs/dask-scratch-space/worker-r6thpcnp\n", "
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Worker: 20

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\n", " Comm: tcp://127.0.0.1:42901\n", " \n", " Total threads: 1\n", "
\n", " Dashboard: /proxy/44247/status\n", " \n", " Memory: 4.47 GiB\n", "
\n", " Nanny: tcp://127.0.0.1:43327\n", "
\n", " Local directory: /jobfs/141529842.gadi-pbs/dask-scratch-space/worker-68sn1u1s\n", "
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Worker: 21

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\n", " Comm: tcp://127.0.0.1:40099\n", " \n", " Total threads: 1\n", "
\n", " Dashboard: /proxy/43601/status\n", " \n", " Memory: 4.47 GiB\n", "
\n", " Nanny: tcp://127.0.0.1:43651\n", "
\n", " Local directory: /jobfs/141529842.gadi-pbs/dask-scratch-space/worker-jvqm0ljr\n", "
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Worker: 22

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\n", " Comm: tcp://127.0.0.1:44233\n", " \n", " Total threads: 1\n", "
\n", " Dashboard: /proxy/40113/status\n", " \n", " Memory: 4.47 GiB\n", "
\n", " Nanny: tcp://127.0.0.1:42369\n", "
\n", " Local directory: /jobfs/141529842.gadi-pbs/dask-scratch-space/worker-do48v087\n", "
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Worker: 23

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\n", " Comm: tcp://127.0.0.1:36433\n", " \n", " Total threads: 1\n", "
\n", " Dashboard: /proxy/33521/status\n", " \n", " Memory: 4.47 GiB\n", "
\n", " Nanny: tcp://127.0.0.1:36929\n", "
\n", " Local directory: /jobfs/141529842.gadi-pbs/dask-scratch-space/worker-z63wu22i\n", "
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Worker: 24

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\n", " Nanny: tcp://127.0.0.1:32799\n", "
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Worker: 25

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\n", " Nanny: tcp://127.0.0.1:35539\n", "
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Worker: 26

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\n", " Nanny: tcp://127.0.0.1:36075\n", "
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Worker: 27

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\n", " Dashboard: /proxy/32793/status\n", " \n", " Memory: 4.47 GiB\n", "
\n", " Nanny: tcp://127.0.0.1:34287\n", "
\n", " Local directory: /jobfs/141529842.gadi-pbs/dask-scratch-space/worker-7wq_g0xk\n", "
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" ], "text/plain": [ "" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "client = Client(threads_per_worker=1)\n", "client" ] }, { "cell_type": "markdown", "id": "de04e5ed-ee85-48ff-9628-abd3e6d8ea7b", "metadata": {}, "source": [ "#### Choose experiment" ] }, { "cell_type": "code", "execution_count": 3, "id": "eed34fea-7cdd-4439-9668-3f543b9a4766", "metadata": {}, "outputs": [], "source": [ "experiment = '01deg_jra55v13_ryf9091'\n", "\n", "start_time = '2170-01-01'\n", "end_time = '2170-12-31'\n", "time_slice = slice(start_time, end_time)" ] }, { "cell_type": "markdown", "id": "63761ef6-84b9-4c3b-9f99-9f90cb878e49", "metadata": {}, "source": [ "#### Choose a latitude range so the contour fits in the range, but there is not too much extra space. Extra space slows down the computation." ] }, { "cell_type": "code", "execution_count": 4, "id": "900d12f3-548f-4854-8686-5dc9f3d037c7", "metadata": {}, "outputs": [], "source": [ "lat_range = slice(-82, -59)" ] }, { "cell_type": "markdown", "id": "2ed43746-1772-4db8-be15-19accc9907ab", "metadata": {}, "source": [ "#### We must make sure that this latitude range is so that the t-cells are always south and west of the u-cells.\n", "\n", "This is important because the meridional and zonal transports occur on different grids to each other. We can check this by loading the `u`-cell and `t`-cell coordinates. \n", "\n", "We choose this convention so that later on when we create `numpy` grids of where the contour is and in what direction the contour goes." ] }, { "cell_type": "markdown", "id": "577743fb-7cd1-4a43-b4f2-8dcef92aaaac", "metadata": {}, "source": [ "#### Load quantity we want a contour of, e.g. bathymetry" ] }, { "cell_type": "code", "execution_count": 5, "id": "207b7d83-c992-4b5f-896c-44cc7ff291c2", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
<xarray.DataArray 'ht' (yt_ocean: 510, xt_ocean: 3600)> Size: 7MB\n",
       "dask.array<getitem, shape=(510, 3600), dtype=float32, chunksize=(510, 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 4kB -81.11 -81.07 -81.02 ... -59.08 -59.03\n",
       "    geolon_t  (yt_ocean, xt_ocean) float32 7MB dask.array<chunksize=(510, 900), meta=np.ndarray>\n",
       "    geolat_t  (yt_ocean, xt_ocean) float32 7MB dask.array<chunksize=(510, 900), meta=np.ndarray>\n",
       "Attributes:\n",
       "    long_name:      ocean depth on t-cells\n",
       "    units:          m\n",
       "    valid_range:    [-1.e+09  1.e+09]\n",
       "    cell_methods:   time: point\n",
       "    standard_name:  sea_floor_depth_below_geoid
" ], "text/plain": [ " Size: 7MB\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 4kB -81.11 -81.07 -81.02 ... -59.08 -59.03\n", " geolon_t (yt_ocean, xt_ocean) float32 7MB dask.array\n", " geolat_t (yt_ocean, xt_ocean) float32 7MB dask.array\n", "Attributes:\n", " long_name: ocean depth on t-cells\n", " units: m\n", " valid_range: [-1.e+09 1.e+09]\n", " cell_methods: time: point\n", " standard_name: sea_floor_depth_below_geoid" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "cat_subset = catalog[experiment]\n", "\n", "var_search = cat_subset.search(variable=[\n", " 'ht', # Load this to access the xt_ocean, yt_ocean coordinates\n", " 'hu', # Load this to access the xu_ocean, yu_ocean coordinates\n", " \n", " # 'xt_ocean', # We could also directly search for the coordinates we're after,\n", " # 'yt_ocean', # but it's not necessary in this instance\n", " # 'xu_ocean', # hence, they're commented out.\n", " # 'yu_ocean',\n", " ], \n", " start_date=\"2170-04-01, 00:00:00\")\n", "darray = var_search.to_dask()\n", "ht = darray['ht'].sel(yt_ocean = lat_range)\n", "hu = darray['hu'].sel(yu_ocean = lat_range) \n", "ht" ] }, { "cell_type": "markdown", "id": "fd55d0ea-ab7e-412c-9b23-687c809036b6", "metadata": {}, "source": [ "#### Choose your desired contour value" ] }, { "cell_type": "code", "execution_count": 6, "id": "2cc4a6dc-393b-45e7-923a-f543f681344c", "metadata": {}, "outputs": [], "source": [ "contour_depth = 1000 # metres" ] }, { "cell_type": "markdown", "id": "e2d63199-9ae5-42d1-ba6c-aac55f9d88e4", "metadata": {}, "source": [ "Plot your data (always good idea `:)`)" ] }, { "cell_type": "code", "execution_count": 7, "id": "c000a8da-6309-4d9b-a6e6-f2f4518a2de9", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0.5, 1.0, 'Ocean depth (m)')" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = plt.figure(figsize = (10, 4))\n", "\n", "ht.plot(extend='both', cbar_kwargs={'label': \"ocean depth [m]\"})\n", "ht.plot.contour(levels = [contour_depth], colors = 'r', linestyles = '-')\n", "plt.title('Ocean depth (m)')" ] }, { "cell_type": "markdown", "id": "85d2d73d", "metadata": {}, "source": [ "Fill in land with zeros and load:" ] }, { "cell_type": "code", "execution_count": 8, "id": "e2ca6843-4f28-4b5b-805f-99f858cf482e", "metadata": {}, "outputs": [], "source": [ "ht = ht.fillna(0).load()" ] }, { "cell_type": "markdown", "id": "4dc68ab3", "metadata": {}, "source": [ "Contour is on t-grid (we assume ACCESS-OM2 B-grid transports)" ] }, { "cell_type": "code", "execution_count": 9, "id": "1a1ca948-228b-4e97-a3e7-874932ece34e", "metadata": {}, "outputs": [], "source": [ "grid_sel = 't'\n", "x_var = ht['xt_ocean']\n", "y_var = ht['yt_ocean']" ] }, { "cell_type": "markdown", "id": "3a480d78-04dc-4558-b735-53c34ce6e792", "metadata": { "tags": [] }, "source": [ "#### Select the contour \n", "We need to isolate out the single contour along the slope and get rid of the contours on the little isolated sea mounts and depressions." ] }, { "cell_type": "code", "execution_count": 10, "id": "76fbe005-ed16-43d3-b443-a16819602fac", "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = plt.figure(figsize = (10, 4))\n", "sc = plt.contour(ht, levels=[contour_depth])\n", "\n", "path_vertices = (sc.get_paths()[0]).vertices\n", "x_vertices = path_vertices[:, 0]\n", "y_vertices = path_vertices[:, 1]" ] }, { "cell_type": "markdown", "id": "e358398c-bbaf-44e3-98b1-6cae5c4e0f3a", "metadata": {}, "source": [ "This list of path_vertices includes all of the paths in the above figure. But we want to only select the longest contour. The contours are all stacked in `x_vertices` and `y_vertices`, with the longest contour listed first. We need to find the end of the longest contour and cut `x_vertices`/`y_vertices` at that point.\n", "\n", "Along our desired contour, `x_vertices`/`y_vertices` should increase/decrease by max 1, so we can use the location where `diff(x_vertices) > 1` to find the end of our desired contour.\n", "\n", "When we call `np.diff`, we wind up with floating point numbers. To get a mask where the difference is greater than 1, we can just turn the result of `np.diff(x_vertices)` back into an array of integers using `.astype(int)` on it - so we can cleanly check if the result is greater than 1." ] }, { "cell_type": "code", "execution_count": 93, "id": "887d63ce-f0d6-415d-aa68-3fb6f51a8b68", "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "last_contour_index = np.where(np.abs(np.diff(x_vertices).astype(int)) > 1)[0][0]\n", "\n", "x_contour = x_vertices[:last_contour_index + 1]\n", "y_contour = y_vertices[:last_contour_index + 1]\n", "\n", "# Check desired contour looks right:\n", "fig = plt.figure(figsize = (10, 4))\n", "plt.scatter(x_contour, y_contour, s=5, alpha=0.5, color='tomato');" ] }, { "cell_type": "markdown", "id": "8cf3a162-c64e-4486-96fc-c30f23042bd8", "metadata": {}, "source": [ "`x_contour` and `y_contour` are not integers with this updated contour method.\n", "We need to convert them to integers so we can use them as indices for selecting data on the contour.\n" ] }, { "cell_type": "code", "execution_count": 94, "id": "dfb14915-b15f-46cb-991d-3b18476221ae", "metadata": {}, "outputs": [], "source": [ "x_contour = np.round(x_contour).astype(int)\n", "y_contour = np.round(y_contour).astype(int)\n", "\n", "# check that the difference between coords of contour never increase by more than 1:\n", "if np.max(np.abs(np.diff(x_contour))) != 1:\n", " print('help! x_contour increases by more than 1 between coords.')\n", "\n", "if np.max(np.abs(np.diff(y_contour))) != 1:\n", " print('help! y_contour increases by more than 1 between coords.')" ] }, { "cell_type": "markdown", "id": "93a49bfe-6d4f-449d-8746-c2203f53ccca", "metadata": {}, "source": [ "#### Processing\n", "Now process these coordinates to make sure there are no double ups.\n", "\n", "N.B: It can be tempting to use numpy's `unique` functionality to do this sort of task - be careful, as it won't preserve order! " ] }, { "cell_type": "code", "execution_count": 95, "id": "dae66bfe-bdfc-46b4-92b0-added8163b55", "metadata": {}, "outputs": [], "source": [ "# Difference between two neighbouring indices\n", "diff_x_contour = np.diff(x_contour)\n", "diff_y_contour = np.diff(y_contour)\n", "\n", "# Get a list with the indices of duplicates\n", "diff_ind = []\n", "for ii in range(len(diff_x_contour)):\n", " if (diff_x_contour[ii]==0) and (diff_y_contour[ii]==0):\n", " diff_ind.append(ii)" ] }, { "cell_type": "code", "execution_count": 96, "id": "baedef1a-e692-4060-8ee3-82ef13c9d3ae", "metadata": {}, "outputs": [], "source": [ "# Now remove the indices (start from the end so the indices don't shift)\n", "for ii in range(len(diff_ind)):\n", " index = diff_ind[::-1][ii]\n", " x_contour = np.delete(x_contour, index)\n", " y_contour = np.delete(y_contour, index)" ] }, { "cell_type": "code", "execution_count": 97, "id": "a95b0816-b795-4242-968f-58cfb86e85c6", "metadata": {}, "outputs": [], "source": [ "ht_contour = np.zeros(len(x_contour))\n", "\n", "for ii in range(len(ht_contour)):\n", " ht_contour[ii] = ht[y_contour[ii], x_contour[ii]]" ] }, { "cell_type": "markdown", "id": "5649659b-7642-4c6e-a3bf-f1987b5de567", "metadata": {}, "source": [ "Due to the discrete grid, the values on our contour are not exactly the same. We check this makes sense -- if this plot is blank, then something has gone wrong." ] }, { "cell_type": "code", "execution_count": 98, "id": "910fea81-3d88-4c41-84d1-1ef8bcefeb52", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = plt.figure(figsize=(10, 4))\n", "\n", "plt.plot(ht_contour, 'o', markersize=1)\n", "plt.axhline(contour_depth, color='k', linewidth=0.5);" ] }, { "cell_type": "code", "execution_count": 99, "id": "a345555f-6878-433a-8a9e-78e8785ecd16", "metadata": {}, "outputs": [], "source": [ "# Number of grid points on the contour\n", "num_points = len(x_contour)" ] }, { "cell_type": "markdown", "id": "7d1b090a-3a2f-41ae-8d40-4baef6daceab", "metadata": {}, "source": [ "#### Now we number the points along the contour" ] }, { "cell_type": "code", "execution_count": 100, "id": "dce023e5-a888-4bd4-87a1-9725cc306628", "metadata": {}, "outputs": [], "source": [ "# start numbering from 1 not 0:\n", "contour_mask_numbered = np.arange(1, len(x_contour)+1)" ] }, { "cell_type": "code", "execution_count": 101, "id": "a6a007ad-69ed-4897-b6ab-7e3d0ad258d1", "metadata": {}, "outputs": [], "source": [ "contour_mask = xr.zeros_like(ht)\n", "\n", "for ii in range(num_points):\n", " contour_mask[y_contour[ii], x_contour[ii]] = contour_mask_numbered[ii]" ] }, { "cell_type": "code", "execution_count": 102, "id": "b84dab94-95a5-4846-8002-c101c79199e4", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "contour_mask.attrs['long_name'] = 'Contour index'\n", "plt.figure(1, figsize=(10, 4))\n", "contour_mask.plot(extend='both', cmap = cmocean.cm.amp);" ] }, { "cell_type": "markdown", "id": "bb5e92d4-df73-418d-a6fc-5f48c71c33d8", "metadata": {}, "source": [ "#### Create mask\n", "Now we create a mask below contour so that the direction of the contour can be determined" ] }, { "cell_type": "code", "execution_count": 103, "id": "e77f5ab9-6322-46b9-99ac-f76c20218e1d", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CPU times: user 31 s, sys: 139 ms, total: 31.1 s\n", "Wall time: 30.9 s\n" ] } ], "source": [ "%%time\n", "\n", "mask_value = -1000\n", "contour_mask_numbered = contour_mask\n", "\n", "# fill in points to north of contour:\n", "contour_masked_above = np.copy(contour_mask_numbered)\n", "contour_masked_above[-1, 0] = mask_value\n", "\n", "# from top left:\n", "for ii in range(len(contour_mask.xt_ocean)-1):\n", " for jj in range(len(contour_mask.yt_ocean))[::-1][:-1]:\n", " if contour_masked_above[jj, ii] == mask_value:\n", " if contour_masked_above[jj-1, ii] == 0:\n", " contour_masked_above[jj-1, ii] = mask_value\n", " if contour_masked_above[jj, ii+1] == 0:\n", " contour_masked_above[jj, ii+1] = mask_value\n", "\n", "#from top right:\n", "for ii in range(len(contour_mask.xt_ocean))[::-1][:-1]:\n", " for jj in range(len(contour_mask.yt_ocean))[::-1][:-1]:\n", " if contour_masked_above[jj, ii] == mask_value:\n", " if contour_masked_above[jj-1, ii] == 0:\n", " contour_masked_above[jj-1, ii] = mask_value\n", " if contour_masked_above[jj, ii-1] == 0:\n", " contour_masked_above[jj, ii-1] = mask_value\n", "\n", "# from bottom right:\n", "for ii in range(len(contour_mask.xt_ocean))[::-1][:-1]:\n", " for jj in range(len(contour_mask.yt_ocean)-1):\n", " if contour_masked_above[jj, ii] == mask_value:\n", " if contour_masked_above[jj+1, ii] == 0:\n", " contour_masked_above[jj+1, ii] = mask_value\n", " if contour_masked_above[jj, ii-1] == 0:\n", " contour_masked_above[jj, ii-1] = mask_value\n", "\n", "#from bottom left:\n", "for ii in range(len(contour_mask.xt_ocean)-1):\n", " for jj in range(len(contour_mask.yt_ocean)-1):\n", " if contour_masked_above[jj, ii] == mask_value:\n", " if contour_masked_above[jj+1, ii] == 0:\n", " contour_masked_above[jj+1, ii] = mask_value\n", " if contour_masked_above[jj, ii+1] == 0:\n", " contour_masked_above[jj, ii+1] = mask_value" ] }, { "cell_type": "code", "execution_count": 104, "id": "fd9d5bcb-7cb4-4fa5-b054-5941c848edb1", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 104, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(1, figsize=(10, 4))\n", "\n", "plt.pcolormesh(contour_mask.xt_ocean, contour_mask.yt_ocean, contour_masked_above)\n", "plt.colorbar()" ] }, { "cell_type": "markdown", "id": "e6dd6197-21ab-4635-851c-17cb20759200", "metadata": {}, "source": [ "North of the contour, values have been filled in to be -1000, and it is thus a different colour in the plot.\n", "\n", "#### Direction of cross-contour transport\n", "Now we can use the mask to determine whether the transport across the contour should be north, east, south or west (the grid is made of discrete square(ish) shaped cells). This is done by looping through the contour points and determining in which directions there are zeros (i.e. below contour) and -1000 (i.e. above contour). This means the orientation of the contour can be determined. This is saved as `mask_x_transport`, which has -1 and +1 in a 2D (x and y) array where the contour has eastward transport, and `mask_y_transport` which as -1 and +1 for coordinates with northward transport. All other positions in the array are 0. This means that multiplying the northward transport `ty_trans` by the `mask_y_transport` gives all the northward transport across the contour, and zeros everywhere else (e.g. where contour goes upwards and cross-contour transport is thus eastward)." ] }, { "cell_type": "code", "execution_count": 105, "id": "44a8c118-640e-44c2-89c2-55f4e5bf1b7a", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CPU times: user 1min 8s, sys: 3.26 s, total: 1min 11s\n", "Wall time: 55.2 s\n" ] } ], "source": [ "%%time\n", "mask_x_transport = np.zeros_like(contour_mask_numbered)\n", "mask_y_transport = np.zeros_like(contour_mask_numbered)\n", "\n", "mask_y_transport_numbered = np.zeros_like(contour_mask_numbered)\n", "mask_x_transport_numbered = np.zeros_like(contour_mask_numbered)\n", "\n", "# make halos:\n", "shape = contour_masked_above.shape\n", "contour_masked_above_halo = np.zeros((shape[0], shape[1]+2))\n", "contour_masked_above_halo[:, 0] = contour_masked_above[:, -1]\n", "contour_masked_above_halo[:, 1:-1] = contour_masked_above\n", "contour_masked_above_halo[:, -1] = contour_masked_above[:, 0]\n", "\n", "new_number_count = 1\n", "for mask_loc in range(1, int(np.max(contour_mask_numbered))+1):\n", " index_i = np.where(contour_mask_numbered==mask_loc)[1]\n", " index_j = np.where(contour_mask_numbered==mask_loc)[0]\n", " # if point above is towards Antarctica and point below is away from Antarctica:\n", " # take transport grid point to north of t grid:\n", " if (contour_masked_above[index_j+1, index_i]==0) and (contour_masked_above[index_j-1, index_i]!=0):\n", " mask_y_transport[index_j, index_i] = -1\n", " # important to do \n", " mask_y_transport_numbered[index_j, index_i] = new_number_count\n", " new_number_count += 1\n", " # if point below is towards Antarctica and point above is away from Antarctica:\n", " # take transport grid point to south of t grid:\n", " elif (contour_masked_above[index_j-1, index_i]==0) and (contour_masked_above[index_j+1, index_i]!=0):\n", " mask_y_transport[index_j-1, index_i] = 1\n", " mask_y_transport_numbered[index_j-1, index_i] = new_number_count\n", " new_number_count += 1\n", " # if point below and point above are BOTH towards Antarctica:\n", " # take transport grid point to south of t grid:\n", " elif (contour_masked_above[index_j-1, index_i]==0) and (contour_masked_above[index_j+1, index_i]==0):\n", " mask_y_transport[index_j-1, index_i] = 1\n", " mask_y_transport[index_j, index_i] = -1 \n", " mask_y_transport_numbered[index_j-1, index_i] = new_number_count\n", " mask_y_transport_numbered[index_j, index_i] = new_number_count+1\n", " new_number_count += 2\n", " # if point to right is towards Antarctica and point to left is away from Antarctica:\n", " # zonal indices increased by 1 due to halos\n", " # take transport grid point on right of t grid:\n", " if (contour_masked_above_halo[index_j, index_i+2]==0) and (contour_masked_above_halo[index_j, index_i]!=0):\n", " mask_x_transport[index_j, index_i] = -1\n", " mask_x_transport_numbered[index_j, index_i] = new_number_count\n", " new_number_count += 1\n", " # if point to left is towards Antarctica and point to right is away from Antarctica:\n", " # take transport grid point on left of t grid:\n", " elif (contour_masked_above_halo[index_j, index_i]==0) and (contour_masked_above_halo[index_j, index_i+2]!=0):\n", " mask_x_transport[index_j, index_i-1] = 1\n", " mask_x_transport_numbered[index_j, index_i-1] = new_number_count\n", " new_number_count += 1\n", " # if point to left and right BOTH toward Antarctica\n", " elif (contour_masked_above_halo[index_j, index_i]==0) and (contour_masked_above_halo[index_j, index_i+2]==0):\n", " mask_x_transport[index_j, index_i-1] = 1\n", " mask_x_transport[index_j, index_i] = -1 \n", " mask_x_transport_numbered[index_j, index_i-1] = new_number_count\n", " mask_x_transport_numbered[index_j, index_i] = new_number_count+1\n", " new_number_count += 2" ] }, { "cell_type": "code", "execution_count": 106, "id": "bd99120e-ff5a-423e-a9af-cf8bbf8082f6", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Plot the mask for the x-transport:\n", "plt.figure(1, figsize=(10, 4))\n", "\n", "plt.pcolormesh(contour_mask.xt_ocean, contour_mask.yt_ocean, mask_x_transport,\n", " cmap=cmocean.cm.balance, vmin=-1.5, vmax=1.5)\n", "plt.colorbar();" ] }, { "cell_type": "markdown", "id": "553a6c80-bc24-4301-a1a7-d85351d3a745", "metadata": {}, "source": [ "As can be seen, in `mask_x_transport` there is red (+1) where eastward transport crosses the contour, and blue (-1) where westward transport crosses the contour (in the net northward direction). There are zeros everywhere else.\n", "\n", "### We now have the coordinates of the contours, and whether the x or y transport is needed to calculate cross-contour transport. \n", "\n", "We now proceed to calculate transports across the contour. Here we convert the contour masks to data arrays, so we can multiply them later. We need to ensure the lat / lon coordinates correspond to the actual data location:\n", "- The y masks are used for `ty_trans`, so like `vhrho` this should have dimensions (`yu_ocean`, `xt_ocean`).\n", "- The x masks are used for `tx_trans`, so like `uhrho` this should have dimensions (`yt_ocean`, `xu_ocean`).\n", "\n", "However we set the actual name to always be simply latitude/longitude irrespective of the variable to make concatenation of transports in both direction and sorting possible." ] }, { "cell_type": "code", "execution_count": 107, "id": "e60e7a18-e049-496e-9077-c7758372ab56", "metadata": {}, "outputs": [], "source": [ "mask_x_transport = xr.DataArray(mask_x_transport,\n", " coords = [ht.yt_ocean, hu.xu_ocean],\n", " dims = ['latitude', 'longitude'])\n", "mask_y_transport = xr.DataArray(mask_y_transport,\n", " coords = [hu.yu_ocean, ht.xt_ocean],\n", " dims = ['latitude', 'longitude'])\n", "mask_x_transport_numbered = xr.DataArray(mask_x_transport_numbered,\n", " coords = [ht.yt_ocean, hu.xu_ocean],\n", " dims = ['latitude', 'longitude'])\n", "mask_y_transport_numbered = xr.DataArray(mask_y_transport_numbered,\n", " coords = [hu.yu_ocean, ht.xt_ocean],\n", " dims = ['latitude', 'longitude'])" ] }, { "cell_type": "markdown", "id": "f8993961-df9c-489c-91ad-2f5681ecc191", "metadata": {}, "source": [ "And plot just to confirm that we didn't mess up anything." ] }, { "cell_type": "code", "execution_count": 108, "id": "439dc694-1436-4843-85c4-25f6853b02e9", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(1, figsize=(10, 4))\n", "\n", "mask_x_transport.plot(cmap=cmocean.cm.balance, vmin=-1.5, vmax=1.5);" ] }, { "cell_type": "markdown", "id": "c1ab1a6e-266d-4f80-ab20-5f581d3b7f41", "metadata": {}, "source": [ "#### Stack contour data into 1D" ] }, { "cell_type": "markdown", "id": "785ffc2b", "metadata": {}, "source": [ "Create the contour order data-array. Note that in this procedure the x-grid counts have x-grid dimensions and the y-grid counts have y-grid dimensions, but these are implicit, the dimension *names* are kept general across the counts, the generic latitude, longitude, so that concatening works but we dont double up with numerous counts for one lat/lon point.\n" ] }, { "cell_type": "code", "execution_count": 109, "id": "a8538013-8bd3-4cc8-804a-528ae89d6c37", "metadata": {}, "outputs": [], "source": [ "# stack contour data into 1d:\n", "mask_x_numbered_1d = mask_x_transport_numbered.stack(contour_index = ['latitude', 'longitude'])\n", "mask_x_numbered_1d = mask_x_numbered_1d.where(mask_x_numbered_1d > 0, drop = True)\n", "\n", "mask_y_numbered_1d = mask_y_transport_numbered.stack(contour_index = ['latitude', 'longitude'])\n", "mask_y_numbered_1d = mask_y_numbered_1d.where(mask_y_numbered_1d > 0, drop = True)\n", "\n", "contour_ordering = xr.concat((mask_x_numbered_1d, mask_y_numbered_1d), dim = 'contour_index')\n", "contour_ordering = contour_ordering.sortby(contour_ordering)\n", "contour_index_array = np.arange(1, len(contour_ordering)+1)" ] }, { "cell_type": "markdown", "id": "d36cca6d-84cd-4dfe-850c-487636b41323", "metadata": {}, "source": [ "#### Load transports `tx_trans` and `ty_trans`" ] }, { "cell_type": "code", "execution_count": 110, "id": "6c31813d", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
<xarray.DataArray 'ty_trans' (time: 12, st_ocean: 75, yu_ocean: 510,\n",
       "                              xt_ocean: 3600)> Size: 7GB\n",
       "dask.array<getitem, shape=(12, 75, 510, 3600), dtype=float32, chunksize=(1, 7, 300, 400), 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",
       "  * st_ocean  (st_ocean) float64 600B 0.5413 1.681 2.94 ... 5.511e+03 5.709e+03\n",
       "  * time      (time) object 96B 2170-01-16 12:00:00 ... 2170-12-16 12:00:00\n",
       "  * yu_ocean  (yu_ocean) float64 4kB -81.09 -81.05 -81.0 ... -59.06 -59.01\n",
       "Attributes:\n",
       "    long_name:      T-cell j-mass transport\n",
       "    units:          kg/s\n",
       "    valid_range:    [-1.e+20  1.e+20]\n",
       "    cell_methods:   time: mean\n",
       "    time_avg_info:  average_T1,average_T2,average_DT\n",
       "    standard_name:  ocean_mass_y_transport
" ], "text/plain": [ " Size: 7GB\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", " * st_ocean (st_ocean) float64 600B 0.5413 1.681 2.94 ... 5.511e+03 5.709e+03\n", " * time (time) object 96B 2170-01-16 12:00:00 ... 2170-12-16 12:00:00\n", " * yu_ocean (yu_ocean) float64 4kB -81.09 -81.05 -81.0 ... -59.06 -59.01\n", "Attributes:\n", " long_name: T-cell j-mass transport\n", " units: kg/s\n", " valid_range: [-1.e+20 1.e+20]\n", " cell_methods: time: mean\n", " time_avg_info: average_T1,average_T2,average_DT\n", " standard_name: ocean_mass_y_transport" ] }, "execution_count": 110, "metadata": {}, "output_type": "execute_result" } ], "source": [ "cat_subset = catalog[experiment]\n", "var_search = cat_subset.search(variable='ty_trans', frequency=\"1mon\") # Can get 1mon or 3mon data\n", "dset = var_search.to_dask(xarray_open_kwargs={'decode_timedelta' : False})\n", "darray = dset['ty_trans']\n", "darray = darray.sel(time=slice(start_time, end_time))\n", "ty_trans = darray\n", "ty_trans = ty_trans.sel(yu_ocean = lat_range, time = time_slice)\n", "ty_trans.chunk(chunks={\"time\": -1})\n", "ty_trans" ] }, { "cell_type": "markdown", "id": "9356f4ce", "metadata": {}, "source": [ "These data aren't enourmous (just over 6GB), but they're not chunked very intelligently - having lots of little chunks increases multiprocessing overhead costs. We want chunks in the 100MB - 1GB range (probably towards the lower end of that range). We want to make computations, such as averaging, along the time axis, so it makes sense to keep all the time data for any position together in a chunk. However, because the input files consist of one time-step per file, we couldn't do this at load time. However, now that the data are loaded, we can do it after the fact: " ] }, { "cell_type": "code", "execution_count": 111, "id": "1fe56d6a", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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<xarray.DataArray 'ty_trans' (time: 12, st_ocean: 75, yu_ocean: 510,\n",
       "                              xt_ocean: 3600)> Size: 7GB\n",
       "dask.array<rechunk-merge, shape=(12, 75, 510, 3600), dtype=float32, chunksize=(12, 75, 102, 400), 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",
       "  * st_ocean  (st_ocean) float64 600B 0.5413 1.681 2.94 ... 5.511e+03 5.709e+03\n",
       "  * time      (time) object 96B 2170-01-16 12:00:00 ... 2170-12-16 12:00:00\n",
       "  * yu_ocean  (yu_ocean) float64 4kB -81.09 -81.05 -81.0 ... -59.06 -59.01\n",
       "Attributes:\n",
       "    long_name:      T-cell j-mass transport\n",
       "    units:          kg/s\n",
       "    valid_range:    [-1.e+20  1.e+20]\n",
       "    cell_methods:   time: mean\n",
       "    time_avg_info:  average_T1,average_T2,average_DT\n",
       "    standard_name:  ocean_mass_y_transport
" ], "text/plain": [ " Size: 7GB\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", " * st_ocean (st_ocean) float64 600B 0.5413 1.681 2.94 ... 5.511e+03 5.709e+03\n", " * time (time) object 96B 2170-01-16 12:00:00 ... 2170-12-16 12:00:00\n", " * yu_ocean (yu_ocean) float64 4kB -81.09 -81.05 -81.0 ... -59.06 -59.01\n", "Attributes:\n", " long_name: T-cell j-mass transport\n", " units: kg/s\n", " valid_range: [-1.e+20 1.e+20]\n", " cell_methods: time: mean\n", " time_avg_info: average_T1,average_T2,average_DT\n", " standard_name: ocean_mass_y_transport" ] }, "execution_count": 111, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ty_trans = ty_trans.chunk(chunks={\"time\": -1, \"st_ocean\": -1, \"yu_ocean\": 102, \"xt_ocean\": 400})\n", "ty_trans" ] }, { "cell_type": "markdown", "id": "4334ef41", "metadata": {}, "source": [ "Now that we've worked out our chunking schema, we'll apply it to `tx_trans` as well." ] }, { "cell_type": "code", "execution_count": 112, "id": "c8043e3a-d4b2-4ee7-969d-db569336e4be", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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<xarray.DataArray 'tx_trans' (time: 12, st_ocean: 75, latitude: 510,\n",
       "                              longitude: 3600)> Size: 7GB\n",
       "dask.array<rechunk-merge, shape=(12, 75, 510, 3600), dtype=float32, chunksize=(12, 75, 102, 400), chunktype=numpy.ndarray>\n",
       "Coordinates:\n",
       "  * latitude   (latitude) float64 4kB -81.11 -81.07 -81.02 ... -59.08 -59.03\n",
       "  * st_ocean   (st_ocean) float64 600B 0.5413 1.681 2.94 ... 5.511e+03 5.709e+03\n",
       "  * time       (time) object 96B 2170-01-16 12:00:00 ... 2170-12-16 12:00:00\n",
       "  * longitude  (longitude) float64 29kB -279.9 -279.8 -279.7 ... 79.8 79.9 80.0\n",
       "Attributes:\n",
       "    long_name:      T-cell i-mass transport\n",
       "    units:          kg/s\n",
       "    valid_range:    [-1.e+20  1.e+20]\n",
       "    cell_methods:   time: mean\n",
       "    time_avg_info:  average_T1,average_T2,average_DT\n",
       "    standard_name:  ocean_mass_x_transport
" ], "text/plain": [ " Size: 7GB\n", "dask.array\n", "Coordinates:\n", " * latitude (latitude) float64 4kB -81.11 -81.07 -81.02 ... -59.08 -59.03\n", " * st_ocean (st_ocean) float64 600B 0.5413 1.681 2.94 ... 5.511e+03 5.709e+03\n", " * time (time) object 96B 2170-01-16 12:00:00 ... 2170-12-16 12:00:00\n", " * longitude (longitude) float64 29kB -279.9 -279.8 -279.7 ... 79.8 79.9 80.0\n", "Attributes:\n", " long_name: T-cell i-mass transport\n", " units: kg/s\n", " valid_range: [-1.e+20 1.e+20]\n", " cell_methods: time: mean\n", " time_avg_info: average_T1,average_T2,average_DT\n", " standard_name: ocean_mass_x_transport" ] }, "execution_count": 112, "metadata": {}, "output_type": "execute_result" } ], "source": [ "cat_subset = catalog[experiment]\n", "var_search = cat_subset.search(variable='tx_trans', frequency=\"1mon\")\n", "dset = var_search.to_dask(xarray_open_kwargs={'decode_timedelta' : False})\n", "darray = dset['tx_trans']\n", "darray = darray.sel(time=slice(start_time, end_time))\n", "tx_trans = darray\n", "tx_trans = tx_trans.sel(yt_ocean = lat_range, time = time_slice)\n", "tx_trans = tx_trans.chunk(chunks={\"time\": -1, \"st_ocean\": -1, \"yt_ocean\": 102, \"xu_ocean\": 400})\n", "\n", "ty_trans = ty_trans.rename({'yu_ocean': 'latitude', 'xt_ocean': 'longitude'})\n", "tx_trans = tx_trans.rename({'yt_ocean': 'latitude', 'xu_ocean': 'longitude'})\n", "\n", "tx_trans" ] }, { "cell_type": "markdown", "id": "208e23fc-ec56-4ae7-806d-d2f945cc392d", "metadata": {}, "source": [ "#### Take time average" ] }, { "cell_type": "code", "execution_count": 113, "id": "c9d42b7d-967a-4d47-bac2-e664032f6ecb", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CPU times: user 34.1 s, sys: 6.5 s, total: 40.6 s\n", "Wall time: 42.7 s\n" ] } ], "source": [ "%%time\n", "\n", "# weighed time mean by month length\n", "days_in_month = ty_trans.time.dt.days_in_month\n", "days_in_year = 365\n", "\n", "tx_trans = (tx_trans * days_in_month / days_in_year).sum('time')\n", "tx_trans = tx_trans.load()\n", "\n", "ty_trans = (ty_trans * days_in_month / days_in_year).sum('time')\n", "ty_trans = ty_trans.load()" ] }, { "cell_type": "markdown", "id": "37fc7c2c-ddf3-4862-a76b-b081cc2d5ea0", "metadata": {}, "source": [ "#### Convert from mass transport to volume transport" ] }, { "cell_type": "code", "execution_count": 114, "id": "7f0b74fb-b530-4dbb-94ba-5b40f5b2803e", "metadata": {}, "outputs": [], "source": [ "ρ0 = 1035 # kg/m^3\n", "\n", "ty_trans = ty_trans * mask_y_transport / ρ0 # convert kg/s -> m^3/s\n", "tx_trans = tx_trans * mask_x_transport / ρ0 # convert kg/s -> m^3/s" ] }, { "cell_type": "markdown", "id": "47009061-ee3d-4de3-b169-973581c2d278", "metadata": {}, "source": [ "#### Extract transport values along contour" ] }, { "cell_type": "code", "execution_count": 115, "id": "e7cb043a-e3c2-4fb1-9dd6-82e2f92ba645", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/jobfs/141529842.gadi-pbs/ipykernel_417748/2814091809.py:13: FutureWarning: updating coordinate 'contour_index' with a PandasMultiIndex would leave the multi-index level coordinates ['latitude', 'longitude'] in an inconsistent state. This will raise an error in the future. Use `.drop_vars(['contour_index', 'latitude', 'longitude'])` before assigning new coordinate values.\n", " vol_trans_across_contour.coords['contour_index'] = contour_index_array\n" ] } ], "source": [ "## We could also loop in time if we didn't want the time average. \n", "# In that case, initialise a data array and fill in data by looping in time.\n", "\n", "# stack transports into 1d and drop any points not on contour:\n", "x_transport_1d = tx_trans.stack(contour_index = ['latitude', 'longitude'])\n", "x_transport_1d = x_transport_1d.where(mask_x_numbered_1d>0, drop = True)\n", "y_transport_1d = ty_trans.stack(contour_index = ['latitude', 'longitude'])\n", "y_transport_1d = y_transport_1d.where(mask_y_numbered_1d>0, drop = True)\n", "\n", "# combine all points on contour:\n", "vol_trans_across_contour = xr.concat((x_transport_1d, y_transport_1d), dim = 'contour_index')\n", "vol_trans_across_contour = vol_trans_across_contour.sortby(contour_ordering)\n", "vol_trans_across_contour.coords['contour_index'] = contour_index_array\n", "vol_trans_across_contour = vol_trans_across_contour.load()" ] }, { "cell_type": "markdown", "id": "bdff3a97-0791-4ea7-80b3-8184d719db71", "metadata": {}, "source": [ "Plot the cumulative transport along the contour, summed over the lower part of the water column.\n", "We can clearly see the northward dense water export in the Ross and Weddell Seas.\n" ] }, { "cell_type": "code", "execution_count": 116, "id": "6b0aba54-80b5-4812-9c70-e2963137db41", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(1, figsize=(10, 4))\n", "\n", "(vol_trans_across_contour.sel(st_ocean=slice(800, 6000)).sum('st_ocean').cumsum('contour_index')/1e6).plot()\n", "plt.ylabel('Cumulative transport across contour (Sv)'); " ] }, { "cell_type": "markdown", "id": "31dbe819-cfec-476a-96b9-7543226c9f55", "metadata": {}, "source": [ "#### Finally, we can extract the coordinates of the contour index, and the distance, for a more meaningful $x$ axis." ] }, { "cell_type": "code", "execution_count": 117, "id": "f726f72d-baeb-4230-9e6e-988245694331", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/jobfs/141529842.gadi-pbs/ipykernel_417748/3395851563.py:11: FutureWarning: updating coordinate 'contour_index' with a PandasMultiIndex would leave the multi-index level coordinates ['latitude', 'longitude'] in an inconsistent state. This will raise an error in the future. Use `.drop_vars(['contour_index', 'latitude', 'longitude'])` before assigning new coordinate values.\n", " lat_along_contour.coords['contour_index'] = contour_index_array\n", "/jobfs/141529842.gadi-pbs/ipykernel_417748/3395851563.py:12: FutureWarning: updating coordinate 'contour_index' with a PandasMultiIndex would leave the multi-index level coordinates ['latitude', 'longitude'] in an inconsistent state. This will raise an error in the future. Use `.drop_vars(['contour_index', 'latitude', 'longitude'])` before assigning new coordinate values.\n", " lon_along_contour.coords['contour_index'] = contour_index_array\n" ] } ], "source": [ "contour_ordering = xr.concat((mask_x_numbered_1d, mask_y_numbered_1d), dim = 'contour_index')\n", "contour_ordering = contour_ordering.sortby(contour_ordering)\n", "\n", "# get lat and lon along contour, useful for plotting later:\n", "lat_along_contour = contour_ordering.latitude.copy()\n", "lon_along_contour = contour_ordering.longitude.copy()\n", "\n", "contour_index_array = np.arange(1, len(contour_ordering)+1)\n", "\n", "# don't need the multi-index anymore, replace with contour count and save\n", "lat_along_contour.coords['contour_index'] = contour_index_array\n", "lon_along_contour.coords['contour_index'] = contour_index_array" ] }, { "cell_type": "markdown", "id": "36138ca9-c0ed-415e-a595-bec99e2e248c", "metadata": {}, "source": [ "#### Extract distance in between contour coordinates\n", "This is used to label the x-axis in the plots below. Note these distances don't exactly match the dxt / dyt variables in the model, but it's only used for plotting, so it's probably ok." ] }, { "cell_type": "code", "execution_count": 118, "id": "a5c746a1-a3e5-453a-9efd-0ea940201941", "metadata": {}, "outputs": [], "source": [ "from geopy import distance\n", "\n", "num_points = len(lat_along_contour)\n", "d_distance_along_contour = np.zeros((num_points))\n", "\n", "for i in range(num_points-1):\n", " d_distance_along_contour[i+1] = distance.distance((lat_along_contour[i], lon_along_contour[i]), (lat_along_contour[i+1], lon_along_contour[i+1])).km\n", "\n", "distance_along_contour = np.cumsum(d_distance_along_contour)" ] }, { "cell_type": "markdown", "id": "ccb11faa-8ed7-4677-9827-9bc0d869f733", "metadata": { "tags": [] }, "source": [ "#### Select the indices for axis labels of specific longitudes, so we can plot transport vs distance but have longitude labels instead of length" ] }, { "cell_type": "code", "execution_count": 119, "id": "01b7260d-1e4b-4750-9a74-b61dae6c2dcf", "metadata": {}, "outputs": [], "source": [ "target_lons = [-280, -240, -180, -120, -60, 0, 6., 80]\n", "\n", "distance_indices = np.zeros_like(target_lons)\n", "\n", "for j, lon in enumerate(target_lons):\n", " distance_indices[j] = np.argmin(np.abs((lon_along_contour.values - lon)))" ] }, { "cell_type": "markdown", "id": "e819790e-c2f5-4bc7-970f-a3eb4338871d", "metadata": {}, "source": [ "#### Plot cumulative transport against distance along the contour." ] }, { "cell_type": "code", "execution_count": 120, "id": "5c992571-c6fd-48d9-92e2-481c813c3424", "metadata": {}, "outputs": [], "source": [ "depth_to_integrate = 800 # m" ] }, { "cell_type": "code", "execution_count": 121, "id": "58dec990-919e-4ec7-8ff4-cc18e763a527", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, axes = plt.subplots(nrows = 2, figsize = (10, 8))\n", "\n", "# factor 1e-6 converts m^3/s -> Sv\n", "axes[0].plot(distance_along_contour, (1e-6 * vol_trans_across_contour.sel(st_ocean = slice(depth_to_integrate, 6000)).sum('st_ocean').cumsum('contour_index')))\n", "\n", "axes[0].set_ylabel('Cumulative transport (Sv)')\n", "axes[0].set_xlabel('Distance from 80$^\\circ$E (10$^3$ km)')\n", "axes[0].set_xlim(0, distance_along_contour[-1])\n", "axes[0].set_title(f'Cumulative transport across {contour_depth} m isobath below {depth_to_integrate} m depth')\n", "\n", "# factor 1e-6 converts m^3/s -> Sv\n", "axes[1].plot(distance_along_contour, (1e-6 * vol_trans_across_contour.sel(st_ocean = slice(depth_to_integrate, 6000)).sum('st_ocean').cumsum('contour_index')))\n", "\n", "axes[1].set_xticks(distance_along_contour[distance_indices.astype(int)[:-1]])\n", "axes[1].set_xticklabels(('80$^\\circ$E', '120$^\\circ$E', '180$^\\circ$W', '120$^\\circ$W', '60$^\\circ$W', '0$^\\circ$', '60$^\\circ$E'))\n", "axes[1].set_xlim(0, distance_along_contour[-1])\n", "\n", "axes[1].set_xlabel('Longitude coordinates along contour')\n", "axes[1].set_ylabel('Cumulative transport (Sv)');" ] }, { "cell_type": "markdown", "id": "e266f75a-8f16-4a20-aaf5-24ff8464b1c3", "metadata": {}, "source": [ "We can see that there is a net northward transport across the 1000m isobath on the Antarctic continental slope. This is spatially localised near the Ross and Weddell Seas where dense water is formed and exported. We could then choose to extract the density (or salt and temperature) along this same path, do this by interpolating density to the north and eastern edge of t-cells. Then we could bin the transports in each depth level into the corresponding density, to determine the transport across the contour in density space. Note this density binning needs to be done online or using at least daily data. An example of this calculation can be found in https://github.com/claireyung/Topographic_Hotspots_Upwelling-Paper_Code/blob/main/Analysis_Code/Save_and_bin_along_contours.ipynb. " ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.11.12" } }, "nbformat": 4, "nbformat_minor": 5 }