{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Regional Tasmanian domain forced by JRA55-do reanalysis and ACCESS-OM2-01 model output\n", "\n", "## What does this recipe do?\n", "This recipe uses `regional-mom6` package to set up a regional ocean configuration with MOM6. The recipe uses input from: \n", "\n", "Input Type | Source | Location on NCI\n", "---|---|---\n", "Surface | [JRA55-do surface forcing](https://climate.mri-jma.go.jp/pub/ocean/JRA55-do/) | `/g/data/ik11`\n", "Ocean | [ACCESS-OM2-01](https://github.com/COSIMA/access-om2) | `/g/data/ik11` \n", "Bathymetry | [GEBCO](https://www.gebco.net/data_and_products/gridded_bathymetry_data/) | `/g/data/ik11`\n", "\n", "Additionally to access to project `ik11`, we also need access to `/g/data/x77` if we want to use the same executable using the latest FMS build (which is a good idea for troubleshooting)." ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "using regional-mom6 version 1.0.1\n" ] } ], "source": [ "import intake\n", "import xarray as xr\n", "import os\n", "import subprocess\n", "import matplotlib.pyplot as plt\n", "from pathlib import Path\n", "from dask.distributed import Client\n", "\n", "import regional_mom6 as rmom6\n", "print(\"using regional-mom6 version \" + rmom6.__version__)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Start a dask client." ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "tags": [] }, "outputs": [ { "data": { "text/html": [ "
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Client

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Client-9ea0baca-ba06-11f0-a18a-0000008dfe80

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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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93acb5d6

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\n", " Dashboard: /proxy/8787/status\n", " \n", " Workers: 48\n", "
\n", " Total threads: 48\n", " \n", " Total memory: 188.56 GiB\n", "
Status: runningUsing processes: True
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Scheduler Info

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Scheduler

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Scheduler-9359a6df-1367-4852-b5d8-41ed82f2230d

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\n", " Comm: tcp://127.0.0.1:40149\n", " \n", " Workers: 0 \n", "
\n", " Dashboard: /proxy/8787/status\n", " \n", " Total threads: 0\n", "
\n", " Started: Just now\n", " \n", " Total memory: 0 B\n", "
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Workers

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Worker: 0

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\n", " Comm: tcp://127.0.0.1:44893\n", " \n", " Total threads: 1\n", "
\n", " Dashboard: /proxy/35015/status\n", " \n", " Memory: 3.93 GiB\n", "
\n", " Nanny: tcp://127.0.0.1:42067\n", "
\n", " Local directory: /jobfs/154022484.gadi-pbs/dask-scratch-space/worker-hoo5w9cs\n", "
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Worker: 1

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\n", " Comm: tcp://127.0.0.1:45733\n", " \n", " Total threads: 1\n", "
\n", " Dashboard: /proxy/36129/status\n", " \n", " Memory: 3.93 GiB\n", "
\n", " Nanny: tcp://127.0.0.1:39189\n", "
\n", " Local directory: /jobfs/154022484.gadi-pbs/dask-scratch-space/worker-i8dikepm\n", "
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Worker: 2

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\n", " Comm: tcp://127.0.0.1:35661\n", " \n", " Total threads: 1\n", "
\n", " Dashboard: /proxy/39949/status\n", " \n", " Memory: 3.93 GiB\n", "
\n", " Nanny: tcp://127.0.0.1:41049\n", "
\n", " Local directory: /jobfs/154022484.gadi-pbs/dask-scratch-space/worker-a3twoc2w\n", "
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Worker: 3

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\n", " Comm: tcp://127.0.0.1:39683\n", " \n", " Total threads: 1\n", "
\n", " Dashboard: /proxy/33083/status\n", " \n", " Memory: 3.93 GiB\n", "
\n", " Nanny: tcp://127.0.0.1:36123\n", "
\n", " Local directory: /jobfs/154022484.gadi-pbs/dask-scratch-space/worker-ewn7o5jz\n", "
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Worker: 4

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\n", " Comm: tcp://127.0.0.1:43069\n", " \n", " Total threads: 1\n", "
\n", " Dashboard: /proxy/37715/status\n", " \n", " Memory: 3.93 GiB\n", "
\n", " Nanny: tcp://127.0.0.1:46083\n", "
\n", " Local directory: /jobfs/154022484.gadi-pbs/dask-scratch-space/worker-_dmkogfi\n", "
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Worker: 5

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\n", " Comm: tcp://127.0.0.1:43849\n", " \n", " Total threads: 1\n", "
\n", " Dashboard: /proxy/37405/status\n", " \n", " Memory: 3.93 GiB\n", "
\n", " Nanny: tcp://127.0.0.1:33919\n", "
\n", " Local directory: /jobfs/154022484.gadi-pbs/dask-scratch-space/worker-_53iohhi\n", "
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Worker: 6

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\n", " Comm: tcp://127.0.0.1:36993\n", " \n", " Total threads: 1\n", "
\n", " Dashboard: /proxy/45487/status\n", " \n", " Memory: 3.93 GiB\n", "
\n", " Nanny: tcp://127.0.0.1:41633\n", "
\n", " Local directory: /jobfs/154022484.gadi-pbs/dask-scratch-space/worker-7hw9rmnf\n", "
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Worker: 7

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\n", " Comm: tcp://127.0.0.1:34261\n", " \n", " Total threads: 1\n", "
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\n", " Nanny: tcp://127.0.0.1:42271\n", "
\n", " Local directory: /jobfs/154022484.gadi-pbs/dask-scratch-space/worker-l6z241la\n", "
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Worker: 8

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\n", " Comm: tcp://127.0.0.1:44577\n", " \n", " Total threads: 1\n", "
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\n", " Nanny: tcp://127.0.0.1:41535\n", "
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Worker: 9

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\n", " Comm: tcp://127.0.0.1:41653\n", " \n", " Total threads: 1\n", "
\n", " Dashboard: /proxy/46757/status\n", " \n", " Memory: 3.93 GiB\n", "
\n", " Nanny: tcp://127.0.0.1:42145\n", "
\n", " Local directory: /jobfs/154022484.gadi-pbs/dask-scratch-space/worker-3_bq1u6f\n", "
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Worker: 10

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\n", " Comm: tcp://127.0.0.1:35501\n", " \n", " Total threads: 1\n", "
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\n", " Nanny: tcp://127.0.0.1:43597\n", "
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Worker: 11

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\n", " Comm: tcp://127.0.0.1:34415\n", " \n", " Total threads: 1\n", "
\n", " Dashboard: /proxy/45981/status\n", " \n", " Memory: 3.93 GiB\n", "
\n", " Nanny: tcp://127.0.0.1:38283\n", "
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Worker: 12

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\n", " Comm: tcp://127.0.0.1:40921\n", " \n", " Total threads: 1\n", "
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\n", " Nanny: tcp://127.0.0.1:40237\n", "
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Worker: 13

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\n", " Comm: tcp://127.0.0.1:40999\n", " \n", " Total threads: 1\n", "
\n", " Dashboard: /proxy/37689/status\n", " \n", " Memory: 3.93 GiB\n", "
\n", " Nanny: tcp://127.0.0.1:37511\n", "
\n", " Local directory: /jobfs/154022484.gadi-pbs/dask-scratch-space/worker-10l8wrto\n", "
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Worker: 14

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\n", " Comm: tcp://127.0.0.1:35583\n", " \n", " Total threads: 1\n", "
\n", " Dashboard: /proxy/36557/status\n", " \n", " Memory: 3.93 GiB\n", "
\n", " Nanny: tcp://127.0.0.1:43829\n", "
\n", " Local directory: /jobfs/154022484.gadi-pbs/dask-scratch-space/worker-2hmypd6p\n", "
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Worker: 15

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\n", " Comm: tcp://127.0.0.1:34149\n", " \n", " Total threads: 1\n", "
\n", " Dashboard: /proxy/35891/status\n", " \n", " Memory: 3.93 GiB\n", "
\n", " Nanny: tcp://127.0.0.1:33997\n", "
\n", " Local directory: /jobfs/154022484.gadi-pbs/dask-scratch-space/worker-nhdnpit6\n", "
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Worker: 16

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\n", " Comm: tcp://127.0.0.1:41257\n", " \n", " Total threads: 1\n", "
\n", " Dashboard: /proxy/32929/status\n", " \n", " Memory: 3.93 GiB\n", "
\n", " Nanny: tcp://127.0.0.1:36025\n", "
\n", " Local directory: /jobfs/154022484.gadi-pbs/dask-scratch-space/worker-lpohu85w\n", "
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Worker: 17

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\n", " Comm: tcp://127.0.0.1:35159\n", " \n", " Total threads: 1\n", "
\n", " Dashboard: /proxy/44685/status\n", " \n", " Memory: 3.93 GiB\n", "
\n", " Nanny: tcp://127.0.0.1:34281\n", "
\n", " Local directory: /jobfs/154022484.gadi-pbs/dask-scratch-space/worker-9e74mhiv\n", "
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Worker: 18

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\n", " Comm: tcp://127.0.0.1:43443\n", " \n", " Total threads: 1\n", "
\n", " Dashboard: /proxy/46097/status\n", " \n", " Memory: 3.93 GiB\n", "
\n", " Nanny: tcp://127.0.0.1:33719\n", "
\n", " Local directory: /jobfs/154022484.gadi-pbs/dask-scratch-space/worker-633x802b\n", "
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Worker: 19

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\n", " Comm: tcp://127.0.0.1:34465\n", " \n", " Total threads: 1\n", "
\n", " Dashboard: /proxy/45057/status\n", " \n", " Memory: 3.93 GiB\n", "
\n", " Nanny: tcp://127.0.0.1:44681\n", "
\n", " Local directory: /jobfs/154022484.gadi-pbs/dask-scratch-space/worker-twq8tucx\n", "
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Worker: 20

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\n", " Comm: tcp://127.0.0.1:37213\n", " \n", " Total threads: 1\n", "
\n", " Dashboard: /proxy/41961/status\n", " \n", " Memory: 3.93 GiB\n", "
\n", " Nanny: tcp://127.0.0.1:36829\n", "
\n", " Local directory: /jobfs/154022484.gadi-pbs/dask-scratch-space/worker-ee60m9nx\n", "
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Worker: 21

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\n", " Comm: tcp://127.0.0.1:35647\n", " \n", " Total threads: 1\n", "
\n", " Dashboard: /proxy/44257/status\n", " \n", " Memory: 3.93 GiB\n", "
\n", " Nanny: tcp://127.0.0.1:33325\n", "
\n", " Local directory: /jobfs/154022484.gadi-pbs/dask-scratch-space/worker-ek45_v7k\n", "
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Worker: 22

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\n", " Comm: tcp://127.0.0.1:38127\n", " \n", " Total threads: 1\n", "
\n", " Dashboard: /proxy/37273/status\n", " \n", " Memory: 3.93 GiB\n", "
\n", " Nanny: tcp://127.0.0.1:35255\n", "
\n", " Local directory: /jobfs/154022484.gadi-pbs/dask-scratch-space/worker-yrw57nj5\n", "
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Worker: 23

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\n", " Comm: tcp://127.0.0.1:46629\n", " \n", " Total threads: 1\n", "
\n", " Dashboard: /proxy/42565/status\n", " \n", " Memory: 3.93 GiB\n", "
\n", " Nanny: tcp://127.0.0.1:37713\n", "
\n", " Local directory: /jobfs/154022484.gadi-pbs/dask-scratch-space/worker-2g7eui6n\n", "
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Worker: 24

\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://127.0.0.1:45525\n", " \n", " Total threads: 1\n", "
\n", " Dashboard: /proxy/46543/status\n", " \n", " Memory: 3.93 GiB\n", "
\n", " Nanny: tcp://127.0.0.1:33173\n", "
\n", " Local directory: /jobfs/154022484.gadi-pbs/dask-scratch-space/worker-nj8oso9d\n", "
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Worker: 25

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\n", " Comm: tcp://127.0.0.1:36757\n", " \n", " Total threads: 1\n", "
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\n", " Nanny: tcp://127.0.0.1:33341\n", "
\n", " Local directory: /jobfs/154022484.gadi-pbs/dask-scratch-space/worker-77nwy48k\n", "
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Worker: 26

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\n", " Nanny: tcp://127.0.0.1:36579\n", "
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Worker: 27

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\n", " Nanny: tcp://127.0.0.1:34039\n", "
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Worker: 28

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Worker: 29

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\n", " Nanny: tcp://127.0.0.1:39443\n", "
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Worker: 30

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Worker: 31

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\n", " Nanny: tcp://127.0.0.1:46113\n", "
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Worker: 32

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Worker: 33

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Worker: 34

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Worker: 35

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Worker: 36

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Worker: 37

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Worker: 38

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Worker: 39

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Worker: 40

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Worker: 41

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Worker: 42

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Worker: 43

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Worker: 44

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Worker: 45

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Worker: 46

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Worker: 47

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" ], "text/plain": [ "" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "client = Client(threads_per_worker = 1)\n", "client" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## What does the `regional-mom6` package do?\n", "\n", "Setting up a regional model in MOM6 can be a pain. The `regional-mom6` package enables users to spend their debugging time fixing a model that's running and doing weird things, rather than puzzling over a model that won't even start.\n", "\n", "This recipe provides a guide to configure a running MOM6 regional model. There will still be some fiddling to do with the `MOM_input` file to make sure that the parameters are set up right for our domain, and we might want to manually edit some of the input files. *But*, `regional-mom6` package should help us bypass most of the woes of regridding, encoding, and understanding the arcane arts of the MOM6 boundary segment files.\n", "\n", "Wanna find out more about `regional-mom6` package? Go to the [package's documentation](https://regional-mom6.readthedocs.io/en/latest/).\n", "\n", "### Citing\n", "\n", "If you use regional-mom6 package in research, teaching, or other activities, we would be grateful if you could mention regional-mom6 and cite the paper in JOSS:\n", "\n", "> Barnes et al. (2024). regional-mom6: A Python package for automatic generation of regional configurations for the Modular Ocean Model 6. _Journal of Open Source Software_, **9(100)**, 6857, doi:[10.21105/joss.06857](https://doi.org/0.21105/joss.06857)." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## What does this recipe do?\n", "\n", "This recipe demonstrates how to set up a regional domain using the package. By the end we should have a running MOM6 experiment on the domain of your choice. To make a stable test case:\n", "\n", "* Avoid any regions with ice\n", "* Avoid regions near the North pole\n", "\n", "Also note, that although the default configuration is meant to be repeat-year forced (RYF), the calendar and encoding will need fixing to run longer than a year.\n", "\n", "Input Type | Source\n", "---|---\n", "Surface | JRA55-do\n", "Ocean | ACCESS-OM2-01\n", "Bathymetry | Gebco" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Step 0: Your personal environment variables" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Some user-custom directories are automatically sourced from the user's environment variables below." ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "scratch directory: /scratch/gb02/nc3020\n", "home directory: /home/552/nc3020\n" ] } ], "source": [ "scratch = subprocess.run(\"echo /scratch/$PROJECT/$USER\", shell=True, capture_output=True, text=True).stdout.strip()\n", "home = subprocess.run(\"echo ~\", shell=True, capture_output=True, text=True).stdout.strip()\n", "\n", "for (dir_name, dir) in zip((\"scratch\", \"home\"), (scratch, home)):\n", " print(dir_name, \"directory:\", dir)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Users can override the paths that were sourced above from their enviroment variables by redefining a directory as a string. For example:\n", "\n", "```python\n", "scratch = \"/scratch/ab12/xz1234/my_custom_directory_for_this_experiment\"\n", "```" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Step 1: Choose our domain, define workspace paths\n", "\n", "To make sure that things are working we recommend starting with the default example defined below.\n", "\n", "If this runs ok, then we can change to a domain of our choice and hopefully it runs ok too! If not, check the [README](https://github.com/COSIMA/regional-mom6/blob/main/README.md) and [documentation](https://regional-mom6.readthedocs.io/) for troubleshooting tips.\n", "\n", "We can log in and use [Copernicus GUI](https://data.marine.copernicus.eu/product/GLOBAL_MULTIYEAR_PHY_001_030/download) to find the latitude-longitude ranges of the domain of choice and then paste below." ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "tags": [] }, "outputs": [], "source": [ "expt_name = \"tassie-access-om2-forced\"\n", "\n", "latitude_extent = [-48, -38.95]\n", "longitude_extent = [143, 150]\n", "\n", "date_range = [\"2013-01-01\", \"2013-01-05\"]\n", "\n", "## Place where all the input files go\n", "input_dir = f\"{scratch}/regional_mom6_configs/{expt_name}/\"\n", "\n", "## Directory where we'll be running the experiment from\n", "run_dir = f\"{home}/mom6_rundirs/{expt_name}/\"\n", "\n", "## Directory where the compiled FRE tools are located (needed to construct mask tables)\n", "fre_tools_dir = \"/g/data/ik11/mom6_tools/tools\"\n", "\n", "## Directory where ocean model cut-outs go before processing\n", "tmp_dir = f\"{scratch}/{expt_name}\"\n", "\n", "## if directories don't exist, create them\n", "for path in (run_dir, tmp_dir, input_dir):\n", " os.makedirs(str(path), exist_ok=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Step 2: Prepare ocean forcing data\n", "\n", "We need to cut out our ocean forcing. The pipeline expects an initial condition and one time-dependent segment per non-land boundary. Naming convention is `\"east_unprocessed\"` and `\"ic_unprocessed\"` for initial condition. The following provides an example for cutting out the necessary forcing files from an ocean model. We use data from a Repeat-Year Forced ACCESS-OM2-01 experiment, but we should be able to recycle parts of the code to cut out data from any dataset of our choice.\n", "\n", "We load the ACCESS-OM2-01 output using the Intake catalog. Note that load a slightly bigger region than our indented regional configuration (see `buffer` parameter below). This buffer-region enables proper interpolation of the ACCESS-OM2-01 output to the grid required by MOM6 near the regional domain's boundary.\n", "\n", "First we load the default ACCESS-NRI intake catalog:" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "catalog = intake.cat.access_nri" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "And now we can load the desired ACCESS-OM2-01 model output that we'll use as boundary forcing and initial condition." ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "scrolled": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Open dataset...\n", "\n", "--> The keys in the returned dictionary of datasets are constructed as follows:\n", "\t'file_id'\n" ] }, { "data": { "text/html": [ "\n", "\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
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<xarray.Dataset> Size: 3GB\n",
       "Dimensions:   (xu_ocean: 3600, yu_ocean: 131, st_ocean: 75, time: 5,\n",
       "               xt_ocean: 3600, yt_ocean: 131)\n",
       "Coordinates:\n",
       "  * xu_ocean  (xu_ocean) float64 29kB -279.9 -279.8 -279.7 ... 79.8 79.9 80.0\n",
       "  * yu_ocean  (yu_ocean) float64 1kB -48.16 -48.09 -48.03 ... -38.83 -38.75\n",
       "  * st_ocean  (st_ocean) float64 600B 0.5413 1.681 2.94 ... 5.511e+03 5.709e+03\n",
       "  * time      (time) datetime64[ns] 40B 2013-01-01T12:00:00 ... 2013-01-05T12...\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 1kB -48.19 -48.13 -48.06 ... -38.87 -38.79\n",
       "Data variables:\n",
       "    u         (time, st_ocean, yu_ocean, xu_ocean) float32 707MB dask.array<chunksize=(1, 19, 117, 180), meta=np.ndarray>\n",
       "    v         (time, st_ocean, yu_ocean, xu_ocean) float32 707MB dask.array<chunksize=(1, 19, 117, 180), meta=np.ndarray>\n",
       "    salt      (time, st_ocean, yt_ocean, xt_ocean) float32 707MB dask.array<chunksize=(1, 19, 117, 180), meta=np.ndarray>\n",
       "    temp      (time, st_ocean, yt_ocean, xt_ocean) float32 707MB dask.array<chunksize=(1, 19, 117, 180), meta=np.ndarray>\n",
       "    eta_t     (time, yt_ocean, xt_ocean) float32 9MB dask.array<chunksize=(1, 131, 720), meta=np.ndarray>\n",
       "Attributes:\n",
       "    title:                                   ACCESS-OM2-01\n",
       "    grid_type:                               mosaic\n",
       "    grid_tile:                               1\n",
       "    intake_esm_attrs:file_id:                ocean.1day.nv:2.st_edges_ocean:7...\n",
       "    intake_esm_attrs:frequency:              1day\n",
       "    intake_esm_attrs:start_date:             2013-01-01, 00:00:00\n",
       "    intake_esm_attrs:end_date:               2013-02-01, 00:00:00\n",
       "    intake_esm_attrs:variable_cell_methods:  ,,,,,,,,time: mean,,\n",
       "    intake_esm_attrs:variable_units:         days,days since 1900-01-01 00:00...\n",
       "    intake_esm_attrs:realm:                  ocean\n",
       "    intake_esm_attrs:_data_format_:          netcdf\n",
       "    intake_esm_dataset_key:                  ocean.1day.nv:2.st_edges_ocean:7...
" ], "text/plain": [ " Size: 3GB\n", "Dimensions: (xu_ocean: 3600, yu_ocean: 131, st_ocean: 75, time: 5,\n", " xt_ocean: 3600, yt_ocean: 131)\n", "Coordinates:\n", " * xu_ocean (xu_ocean) float64 29kB -279.9 -279.8 -279.7 ... 79.8 79.9 80.0\n", " * yu_ocean (yu_ocean) float64 1kB -48.16 -48.09 -48.03 ... -38.83 -38.75\n", " * st_ocean (st_ocean) float64 600B 0.5413 1.681 2.94 ... 5.511e+03 5.709e+03\n", " * time (time) datetime64[ns] 40B 2013-01-01T12:00:00 ... 2013-01-05T12...\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 1kB -48.19 -48.13 -48.06 ... -38.87 -38.79\n", "Data variables:\n", " u (time, st_ocean, yu_ocean, xu_ocean) float32 707MB dask.array\n", " v (time, st_ocean, yu_ocean, xu_ocean) float32 707MB dask.array\n", " salt (time, st_ocean, yt_ocean, xt_ocean) float32 707MB dask.array\n", " temp (time, st_ocean, yt_ocean, xt_ocean) float32 707MB dask.array\n", " eta_t (time, yt_ocean, xt_ocean) float32 9MB dask.array\n", "Attributes:\n", " title: ACCESS-OM2-01\n", " grid_type: mosaic\n", " grid_tile: 1\n", " intake_esm_attrs:file_id: ocean.1day.nv:2.st_edges_ocean:7...\n", " intake_esm_attrs:frequency: 1day\n", " intake_esm_attrs:start_date: 2013-01-01, 00:00:00\n", " intake_esm_attrs:end_date: 2013-02-01, 00:00:00\n", " intake_esm_attrs:variable_cell_methods: ,,,,,,,,time: mean,,\n", " intake_esm_attrs:variable_units: days,days since 1900-01-01 00:00...\n", " intake_esm_attrs:realm: ocean\n", " intake_esm_attrs:_data_format_: netcdf\n", " intake_esm_dataset_key: ocean.1day.nv:2.st_edges_ocean:7..." ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "buffer = 0.2 # degrees; buffer around the regional domain used for interpolation -- try 2x the input's resolution\n", "\n", "print('Open dataset...')\n", "experiment = catalog[\"01deg_jra55v150_iaf_cycle1\"]\n", "\n", "ds_dict = experiment.search(\n", " variable=[\"u\", \"v\", \"salt\", \"temp\", \"eta_t\"],\n", " frequency='1day',\n", " start_date=date_range[0]+\", 00:00:00\",\n", " \n", ").to_dataset_dict()\n", "\n", "access_om2_input = xr.merge(ds_dict.values(), join=\"inner\")\n", "\n", "access_om2_input = access_om2_input.sel(\n", " yu_ocean = slice(latitude_extent[0] - buffer, latitude_extent[1] + buffer),\n", " yt_ocean = slice(latitude_extent[0] - buffer, latitude_extent[1] + buffer))\n", "\n", "access_om2_input = access_om2_input.sel(time=slice(date_range[0], date_range[1]))\n", "access_om2_input" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "And now slice the initial conditions and the boundary forings." ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Initial condition...\n", "East & West boundary conditions...\n", "North & South boundary conditions...\n", "Finished initial and boundary conditions.\n" ] } ], "source": [ "print('Initial condition...')\n", "\n", "## Cut out initial condition and save to netCDF\n", "ic = access_om2_input.isel(time = 0)\n", "\n", "## `longitude_slicer` handles seams in longitude and different grid and ensures that the output matches our 'longitude_extent'\n", "ic = rmom6.longitude_slicer(ic,\n", " [longitude_extent[0] - buffer, longitude_extent[1] + buffer],\n", " [\"xu_ocean\", \"xt_ocean\"])\n", "ic.drop_encoding().to_netcdf(tmp_dir + \"/ic_unprocessed.nc\")\n", "\n", "## Cut out East & West boundary conditions and save to netCDF\n", "print('East & West boundary conditions...')\n", "\n", "rmom6.longitude_slicer(access_om2_input,\n", " [longitude_extent[1] - buffer, longitude_extent[1] + buffer],\n", " [\"xu_ocean\", \"xt_ocean\"]).to_netcdf(tmp_dir + \"/east_unprocessed.nc\")\n", "\n", "rmom6.longitude_slicer(access_om2_input,\n", " [longitude_extent[0] - buffer, longitude_extent[0] + buffer],\n", " [\"xu_ocean\", \"xt_ocean\"]).to_netcdf(tmp_dir + \"/west_unprocessed.nc\")\n", "\n", "## Cut out North & South boundary conditions and save to netCDF\n", "print('North & South boundary conditions...')\n", "\n", "northsouth = rmom6.longitude_slicer(access_om2_input,\n", " [longitude_extent[0] - buffer, longitude_extent[1] + buffer],\n", " [\"xu_ocean\", \"xt_ocean\"])\n", "\n", "northsouth.sel(\n", " yu_ocean = slice(latitude_extent[1] - buffer, latitude_extent[1] + buffer),\n", " yt_ocean = slice(latitude_extent[1] - buffer, latitude_extent[1] + buffer)\n", ").to_netcdf(tmp_dir + \"/north_unprocessed.nc\")\n", "\n", "northsouth.sel(\n", " yu_ocean = slice(latitude_extent[0] - buffer, latitude_extent[0] + buffer),\n", " yt_ocean = slice(latitude_extent[0] - buffer, latitude_extent[0] + buffer)\n", ").to_netcdf(tmp_dir + \"/south_unprocessed.nc\")\n", "\n", "print('Finished initial and boundary conditions.')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Step 3: Construct the experiment object\n", "The `regional_mom6.experiment` returns an object that contains the regional domain basics and also generates the horizontal and vertical grids, `hgrid` and `vgrid` respectively, and sets up the required directory structures as expected by MOM6." ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Warning: Minimum depth of 4m is less than the depth of the third interface (22.217993523771245m)!\n", "This means that some areas may only have one or two layers between the surface and sea floor. \n", "For increased stability, consider increasing the minimum depth, or adjusting the vertical coordinate to add more layers near the surface.\n" ] } ], "source": [ "expt = rmom6.experiment(\n", " longitude_extent = longitude_extent,\n", " latitude_extent = latitude_extent,\n", " date_range = [date_range[0]+\" 00:00:00\", date_range[1]+\" 00:00:00\"],\n", " resolution = 0.05,\n", " number_vertical_layers = 75,\n", " layer_thickness_ratio = 10,\n", " depth = 4500,\n", " mom_run_dir = run_dir,\n", " mom_input_dir = input_dir,\n", " fre_tools_dir = fre_tools_dir,\n", " boundaries=[\"north\", \"south\", \"east\", \"west\"]\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can now access the horizontal and vertical grid of the regional configuration via `expt.hgrid` and `expt.vgrid` respectively.\n", "\n", "Plotting the vertical grid with `marker = '.'` lets us see the spacing." ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "expt.vgrid.zl.plot(marker='.',\n", " y='zl',\n", " yincrease=False,\n", " figsize=(4, 8))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Modular workflow!\n", "\n", "After constructing our `expt` object, if we are not happy with the default horizontal and vertical grids, `hgrid` and `vgrid`, we can simply modify and then save them back into the `expt` object. However, we'll then also need to save them to disk again. For example:\n", "\n", "```python\n", "new_hgrid = xr.open_dataset(input_dir + \"/hgrid.nc\")\n", "```\n", "\n", "Modify `new_hgrid`, ensuring that _all metadata_ is retained to keep MOM6 happy. Then, save our changes:\n", "\n", "\n", "```python\n", "expt.hgrid = new_hgrid\n", "\n", "expt.hgrid.to_netcdf(input_dir + \"/hgrid.nc\")\n", "```" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Step 4: Set up bathymetry\n", "\n", "Similarly to ocean forcing, we point the experiment's `setup_bathymetry` method at the location of the file of choice and also provide the variable names. We don't need to preprocess the bathymetry since it is simply a two-dimensional field and is easier to deal with. Afterwards we can inspect `expt.bathymetry` to see our regional domain.\n", "\n", "After running this cell, our input directory will contain other bathymetry-related things like the ocean mosaic and mask table too. The mask table defaults to a 10x10 layout and can be modified later." ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "tags": [] }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "INFO:regional_mom6.regridding:Getting t points..\n", "INFO:regional_mom6.regridding:Creating Regridder\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Begin regridding bathymetry...\n", "\n", "Original bathymetry size: 37.08 Mb\n", "Regridded size: 0.84 Mb\n", "Automatic regridding may fail if your domain is too big! If this process hangs or crashes,make sure function argument write_to_file = True and,open a terminal with appropriate computational and resources try calling ESMF directly in the input directory /scratch/gb02/nc3020/regional_mom6_configs/tassie-access-om2-forced via\n", "\n", "`mpirun -np NUMBER_OF_CPUS ESMF_Regrid -s bathymetry_original.nc -d bathymetry_unfinished.nc -m bilinear --src_var depth --dst_var depth --netcdf4 --src_regional --dst_regional`\n", "\n", "For details see https://xesmf.readthedocs.io/en/latest/large_problems_on_HPC.html\n", "\n", "Afterwards, we run the 'expt.tidy_bathymetry' method to skip the expensive interpolation step, and finishing metadata, encoding and cleanup.\n", "\n", "\n", "\n", "Regridding successful! Now calling `tidy_bathymetry` method for some finishing touches...\n", "setup bathymetry has finished successfully.\n", "Tidy bathymetry: Reading in regridded bathymetry to fix up metadata...done. Filling in inland lakes and channels... " ] }, { "data": { "text/html": [ "
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<xarray.Dataset> Size: 837kB\n",
       "Dimensions:  (ny: 249, nx: 140)\n",
       "Coordinates:\n",
       "    lon      (ny, nx) float64 279kB 143.0 143.1 143.1 ... 149.9 149.9 150.0\n",
       "    lat      (ny, nx) float64 279kB -47.98 -47.98 -47.98 ... -38.97 -38.97\n",
       "Dimensions without coordinates: ny, nx\n",
       "Data variables:\n",
       "    depth    (ny, nx) float64 279kB 4.584e+03 4.552e+03 ... 4.215e+03 4.364e+03\n",
       "Attributes:\n",
       "    depth:          meters\n",
       "    standard_name:  bathymetric depth at T-cell centers\n",
       "    coordinates:    zi
" ], "text/plain": [ " Size: 837kB\n", "Dimensions: (ny: 249, nx: 140)\n", "Coordinates:\n", " lon (ny, nx) float64 279kB 143.0 143.1 143.1 ... 149.9 149.9 150.0\n", " lat (ny, nx) float64 279kB -47.98 -47.98 -47.98 ... -38.97 -38.97\n", "Dimensions without coordinates: ny, nx\n", "Data variables:\n", " depth (ny, nx) float64 279kB 4.584e+03 4.552e+03 ... 4.215e+03 4.364e+03\n", "Attributes:\n", " depth: meters\n", " standard_name: bathymetric depth at T-cell centers\n", " coordinates: zi" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "expt.setup_bathymetry(\n", " bathymetry_path='/g/data/ik11/inputs/GEBCO_2022/GEBCO_2022.nc',\n", " longitude_coordinate_name='lon',\n", " latitude_coordinate_name='lat',\n", " vertical_coordinate_name='elevation',\n", " )" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Check out our domain:" ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "tags": [] }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "expt.bathymetry.depth.plot()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can can add geographical coordinates to the plot above, e.g.," ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.pcolormesh(expt.bathymetry.lon, expt.bathymetry.lat, expt.bathymetry.depth[0, :, :], shading='auto')\n", "plt.colorbar(label = 'depth [m]')\n", "plt.xlabel('Longitude [degrees E]')\n", "plt.ylabel('Latitude [degrees N]');" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Step 5: Handle the ocean forcing - where the magic happens\n", "\n", "This cuts out and interpolates the initial condition as well as all boundaries (unless we don't pass it boundaries).\n", "\n", "\n", "\n", "The dictionary maps the MOM6 variable names to what they're called in our ocean input file. Notice how the horizontal dimensions are `xt_ocean`, `yt_ocean`, `xu_ocean`, `yu_ocean` in ACCESS-OM2-01 versus `xh`, `yh`, `xq`, and `yq` in MOM6. This is because ACCESS-OM2-01 is on a B grid, so we need to differentiate between `q` and `t` points.\n", "\n", "If one of our segments is land, we can delete its string from the 'boundaries' list. We need to update `MOM_input` to reflect this though so that MOM6 knows how many segments to look for, and their orientations. " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Define a mapping from the MOM5 B-grid variables and dimensions to the MOM6 C-grid ones." ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "tags": [] }, "outputs": [], "source": [ "ocean_varnames = {\"time\": \"time\",\n", " \"yh\": \"yt_ocean\",\n", " \"xh\": \"xt_ocean\",\n", " \"xq\": \"xu_ocean\",\n", " \"yq\": \"yu_ocean\",\n", " \"zl\": \"st_ocean\",\n", " \"eta\": \"eta_t\",\n", " \"u\": \"u\",\n", " \"v\": \"v\",\n", " \"tracers\": {\"salt\": \"salt\", \"temp\": \"temp\"}\n", " }" ] }, { "cell_type": "markdown", "metadata": { "tags": [] }, "source": [ "Set up the initial condition" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "No `xu_ocean` and `xt_ocean` in **west_unprocessed.nc** and **east_unprocessed.nc**\n", "\n", "`xu_ocean = UNLIMITED ; // (0 currently)`" ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "tags": [] }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "INFO:regional_mom6.regridding:Getting t points..\n", "INFO:regional_mom6.regridding:Creating Regridder\n", "INFO:regional_mom6.regridding:Creating Regridder\n", "INFO:regional_mom6.regridding:Creating Regridder\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Setting up Initial Conditions\n", "Regridding Velocities... " ] }, { "name": "stderr", "output_type": "stream", "text": [ "INFO:regional_mom6.rotation:Getting rotation angle\n", "INFO:regional_mom6.rotation:Calculating grid rotation angle\n", "INFO:regional_mom6.regridding:Getting u points..\n", "INFO:regional_mom6.regridding:Getting v points..\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Done.\n", "Regridding Tracers... Done.\n", "Regridding Free surface... Done.\n", "Saving outputs... " ] }, { "name": "stderr", "output_type": "stream", "text": [ "INFO:regional_mom6.regridding:Creating coordinates of the boundary q/u/v points\n", "INFO:regional_mom6.regridding:Creating Regridder\n", "WARNING:regional_mom6.regridding:Using existing weights file at /scratch/gb02/nc3020/regional_mom6_configs/tassie-access-om2-forced/weights/bilinear_velocity_weights_north.nc to save computing time. Delete weights file to regenerate weights.\n", "INFO:regional_mom6.regridding:Creating Regridder\n", "WARNING:regional_mom6.regridding:Using existing weights file at /scratch/gb02/nc3020/regional_mom6_configs/tassie-access-om2-forced/weights/bilinear_tracer_weights_north.nc to save computing time. Delete weights file to regenerate weights.\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "done setting up initial condition.\n", "Processing north boundary velocity & tracers..." ] }, { "name": "stderr", "output_type": "stream", "text": [ "INFO:regional_mom6.rotation:Getting rotation angle\n", "INFO:regional_mom6.rotation:Calculating grid rotation angle\n", "INFO:regional_mom6.regridding:Creating coordinates of the boundary q/u/v points\n", "INFO:regional_mom6.regridding:Filling in missing data horizontally, then vertically\n", "INFO:regional_mom6.regridding:Adding time dimension\n", "INFO:regional_mom6.regridding:Renaming vertical coordinate to nz_... in salt_segment_001\n", "INFO:regional_mom6.regridding:Replacing old depth coordinates with incremental integers\n", "INFO:regional_mom6.regridding:Adding perpendicular dimension to salt_segment_001\n", "INFO:regional_mom6.regridding:Renaming vertical coordinate to nz_... in temp_segment_001\n", "INFO:regional_mom6.regridding:Replacing old depth coordinates with incremental integers\n", "INFO:regional_mom6.regridding:Adding perpendicular dimension to temp_segment_001\n", "INFO:regional_mom6.regridding:Renaming vertical coordinate to nz_... in u_segment_001\n", "INFO:regional_mom6.regridding:Replacing old depth coordinates with incremental integers\n", "INFO:regional_mom6.regridding:Adding perpendicular dimension to u_segment_001\n", "INFO:regional_mom6.regridding:Renaming vertical coordinate to nz_... in v_segment_001\n", "INFO:regional_mom6.regridding:Replacing old depth coordinates with incremental integers\n", "INFO:regional_mom6.regridding:Adding perpendicular dimension to v_segment_001\n", "INFO:regional_mom6.regridding:Adding perpendicular dimension to eta_segment_001\n", "WARNING:regional_mom6.regridding:All NaNs filled b/c bathymetry wasn't provided to the function. Add bathymetry_path to the segment class to avoid this\n", "INFO:regional_mom6.regridding:Generating encoding dictionary\n", "INFO:regional_mom6.regridding:Creating coordinates of the boundary q/u/v points\n", "INFO:regional_mom6.regridding:Creating Regridder\n", "WARNING:regional_mom6.regridding:Using existing weights file at /scratch/gb02/nc3020/regional_mom6_configs/tassie-access-om2-forced/weights/bilinear_velocity_weights_south.nc to save computing time. Delete weights file to regenerate weights.\n", "INFO:regional_mom6.regridding:Creating Regridder\n", "WARNING:regional_mom6.regridding:Using existing weights file at /scratch/gb02/nc3020/regional_mom6_configs/tassie-access-om2-forced/weights/bilinear_tracer_weights_south.nc to save computing time. Delete weights file to regenerate weights.\n", "INFO:regional_mom6.rotation:Getting rotation angle\n", "INFO:regional_mom6.rotation:Calculating grid rotation angle\n", "INFO:regional_mom6.regridding:Creating coordinates of the boundary q/u/v points\n", "INFO:regional_mom6.regridding:Filling in missing data horizontally, then vertically\n", "INFO:regional_mom6.regridding:Adding time dimension\n", "INFO:regional_mom6.regridding:Renaming vertical coordinate to nz_... in salt_segment_002\n", "INFO:regional_mom6.regridding:Replacing old depth coordinates with incremental integers\n", "INFO:regional_mom6.regridding:Adding perpendicular dimension to salt_segment_002\n", "INFO:regional_mom6.regridding:Renaming vertical coordinate to nz_... in temp_segment_002\n", "INFO:regional_mom6.regridding:Replacing old depth coordinates with incremental integers\n", "INFO:regional_mom6.regridding:Adding perpendicular dimension to temp_segment_002\n", "INFO:regional_mom6.regridding:Renaming vertical coordinate to nz_... in u_segment_002\n", "INFO:regional_mom6.regridding:Replacing old depth coordinates with incremental integers\n", "INFO:regional_mom6.regridding:Adding perpendicular dimension to u_segment_002\n", "INFO:regional_mom6.regridding:Renaming vertical coordinate to nz_... in v_segment_002\n", "INFO:regional_mom6.regridding:Replacing old depth coordinates with incremental integers\n", "INFO:regional_mom6.regridding:Adding perpendicular dimension to v_segment_002\n", "INFO:regional_mom6.regridding:Adding perpendicular dimension to eta_segment_002\n", "WARNING:regional_mom6.regridding:All NaNs filled b/c bathymetry wasn't provided to the function. Add bathymetry_path to the segment class to avoid this\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Done.\n", "Processing south boundary velocity & tracers..." ] }, { "name": "stderr", "output_type": "stream", "text": [ "INFO:regional_mom6.regridding:Generating encoding dictionary\n", "INFO:regional_mom6.regridding:Creating coordinates of the boundary q/u/v points\n", "INFO:regional_mom6.regridding:Creating Regridder\n", "WARNING:regional_mom6.regridding:Using existing weights file at /scratch/gb02/nc3020/regional_mom6_configs/tassie-access-om2-forced/weights/bilinear_velocity_weights_east.nc to save computing time. Delete weights file to regenerate weights.\n", "INFO:regional_mom6.regridding:Creating Regridder\n", "WARNING:regional_mom6.regridding:Using existing weights file at /scratch/gb02/nc3020/regional_mom6_configs/tassie-access-om2-forced/weights/bilinear_tracer_weights_east.nc to save computing time. Delete weights file to regenerate weights.\n", "INFO:regional_mom6.rotation:Getting rotation angle\n", "INFO:regional_mom6.rotation:Calculating grid rotation angle\n", "INFO:regional_mom6.regridding:Creating coordinates of the boundary q/u/v points\n", "INFO:regional_mom6.regridding:Filling in missing data horizontally, then vertically\n", "INFO:regional_mom6.regridding:Adding time dimension\n", "INFO:regional_mom6.regridding:Renaming vertical coordinate to nz_... in salt_segment_003\n", "INFO:regional_mom6.regridding:Replacing old depth coordinates with incremental integers\n", "INFO:regional_mom6.regridding:Adding perpendicular dimension to salt_segment_003\n", "INFO:regional_mom6.regridding:Renaming vertical coordinate to nz_... in temp_segment_003\n", "INFO:regional_mom6.regridding:Replacing old depth coordinates with incremental integers\n", "INFO:regional_mom6.regridding:Adding perpendicular dimension to temp_segment_003\n", "INFO:regional_mom6.regridding:Renaming vertical coordinate to nz_... in u_segment_003\n", "INFO:regional_mom6.regridding:Replacing old depth coordinates with incremental integers\n", "INFO:regional_mom6.regridding:Adding perpendicular dimension to u_segment_003\n", "INFO:regional_mom6.regridding:Renaming vertical coordinate to nz_... in v_segment_003\n", "INFO:regional_mom6.regridding:Replacing old depth coordinates with incremental integers\n", "INFO:regional_mom6.regridding:Adding perpendicular dimension to v_segment_003\n", "INFO:regional_mom6.regridding:Adding perpendicular dimension to eta_segment_003\n", "WARNING:regional_mom6.regridding:All NaNs filled b/c bathymetry wasn't provided to the function. Add bathymetry_path to the segment class to avoid this\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Done.\n", "Processing east boundary velocity & tracers..." ] }, { "name": "stderr", "output_type": "stream", "text": [ "INFO:regional_mom6.regridding:Generating encoding dictionary\n", "INFO:regional_mom6.regridding:Creating coordinates of the boundary q/u/v points\n", "INFO:regional_mom6.regridding:Creating Regridder\n", "WARNING:regional_mom6.regridding:Using existing weights file at /scratch/gb02/nc3020/regional_mom6_configs/tassie-access-om2-forced/weights/bilinear_velocity_weights_west.nc to save computing time. Delete weights file to regenerate weights.\n", "INFO:regional_mom6.regridding:Creating Regridder\n", "WARNING:regional_mom6.regridding:Using existing weights file at /scratch/gb02/nc3020/regional_mom6_configs/tassie-access-om2-forced/weights/bilinear_tracer_weights_west.nc to save computing time. Delete weights file to regenerate weights.\n", "INFO:regional_mom6.rotation:Getting rotation angle\n", "INFO:regional_mom6.rotation:Calculating grid rotation angle\n", "INFO:regional_mom6.regridding:Creating coordinates of the boundary q/u/v points\n", "INFO:regional_mom6.regridding:Filling in missing data horizontally, then vertically\n", "INFO:regional_mom6.regridding:Adding time dimension\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Done.\n", "Processing west boundary velocity & tracers..." ] }, { "name": "stderr", "output_type": "stream", "text": [ "INFO:regional_mom6.regridding:Renaming vertical coordinate to nz_... in salt_segment_004\n", "INFO:regional_mom6.regridding:Replacing old depth coordinates with incremental integers\n", "INFO:regional_mom6.regridding:Adding perpendicular dimension to salt_segment_004\n", "INFO:regional_mom6.regridding:Renaming vertical coordinate to nz_... in temp_segment_004\n", "INFO:regional_mom6.regridding:Replacing old depth coordinates with incremental integers\n", "INFO:regional_mom6.regridding:Adding perpendicular dimension to temp_segment_004\n", "INFO:regional_mom6.regridding:Renaming vertical coordinate to nz_... in u_segment_004\n", "INFO:regional_mom6.regridding:Replacing old depth coordinates with incremental integers\n", "INFO:regional_mom6.regridding:Adding perpendicular dimension to u_segment_004\n", "INFO:regional_mom6.regridding:Renaming vertical coordinate to nz_... in v_segment_004\n", "INFO:regional_mom6.regridding:Replacing old depth coordinates with incremental integers\n", "INFO:regional_mom6.regridding:Adding perpendicular dimension to v_segment_004\n", "INFO:regional_mom6.regridding:Adding perpendicular dimension to eta_segment_004\n", "WARNING:regional_mom6.regridding:All NaNs filled b/c bathymetry wasn't provided to the function. Add bathymetry_path to the segment class to avoid this\n", "INFO:regional_mom6.regridding:Generating encoding dictionary\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Done.\n" ] } ], "source": [ "# Set up the initial condition.\n", "expt.setup_initial_condition(\n", " tmp_dir + \"/ic_unprocessed.nc\", # directory where the unprocessed initial condition is stored, as defined earlier\n", " ocean_varnames,\n", " arakawa_grid = \"B\"\n", " )\n", "\n", "# Set up the four boundary conditions.\n", "expt.setup_ocean_state_boundaries(\n", " Path(tmp_dir),\n", " ocean_varnames,\n", " arakawa_grid = \"B\"\n", " )" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can inspect all variable in the experiment by calling" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'expt_name': None,\n", " 'date_range': [datetime.datetime(2013, 1, 1, 0, 0),\n", " datetime.datetime(2013, 1, 5, 0, 0)],\n", " 'mom_run_dir': PosixPath('/home/552/nc3020/mom6_rundirs/tassie-access-om2-forced'),\n", " 'mom_input_dir': PosixPath('/scratch/gb02/nc3020/regional_mom6_configs/tassie-access-om2-forced'),\n", " 'fre_tools_dir': PosixPath('/g/data/ik11/mom6_tools/tools'),\n", " 'resolution': 0.05,\n", " 'number_vertical_layers': 75,\n", " 'layer_thickness_ratio': 10,\n", " 'depth': 4500,\n", " 'hgrid_type': 'even_spacing',\n", " 'vgrid_type': 'hyperbolic_tangent',\n", " 'repeat_year_forcing': False,\n", " 'ocean_mask': Size: 279kB\n", " array([[1, 1, 1, ..., 1, 1, 1],\n", " [1, 1, 1, ..., 1, 1, 1],\n", " [1, 1, 1, ..., 1, 1, 1],\n", " ...,\n", " [1, 1, 1, ..., 1, 1, 1],\n", " [1, 1, 1, ..., 1, 1, 1],\n", " [1, 1, 1, ..., 1, 1, 1]])\n", " Coordinates:\n", " lon (ny, nx) float64 279kB 143.0 143.1 143.1 ... 149.9 149.9 150.0\n", " lat (ny, nx) float64 279kB -47.98 -47.98 -47.98 ... -38.97 -38.97\n", " Dimensions without coordinates: ny, nx,\n", " 'layout': None,\n", " 'minimum_depth': 4,\n", " 'tidal_constituents': ['M2',\n", " 'S2',\n", " 'N2',\n", " 'K2',\n", " 'K1',\n", " 'O1',\n", " 'P1',\n", " 'Q1',\n", " 'MM',\n", " 'MF'],\n", " 'regridding_method': 'bilinear',\n", " 'fill_method': xarray.core.dataset.Dataset>,\n", " 'longitude_extent': (143, 150),\n", " 'latitude_extent': (-48, -38.95),\n", " 'hgrid': Size: 10MB\n", " Dimensions: (nyp: 499, nxp: 281, nx: 280, ny: 498)\n", " Coordinates:\n", " * nyp (nyp) int64 4kB 0 1 2 3 4 5 6 ... 492 493 494 495 496 497 498\n", " * nxp (nxp) int64 2kB 0 1 2 3 4 5 6 ... 274 275 276 277 278 279 280\n", " Dimensions without coordinates: nx, ny\n", " Data variables:\n", " tile |S255 255B b'tile1'\n", " x (nyp, nxp) float64 1MB 143.0 143.0 143.1 ... 149.9 150.0 150.0\n", " y (nyp, nxp) float64 1MB -48.0 -48.0 -48.0 ... -38.95 -38.95\n", " dx (nyp, nx) float64 1MB 930.0 930.0 ... 1.081e+03 1.081e+03\n", " dy (ny, nxp) float64 1MB 1.01e+03 1.01e+03 ... 1.01e+03 1.01e+03\n", " area (ny, nx) float64 1MB 3.759e+06 3.759e+06 ... 4.368e+06\n", " angle_dx (nyp, nxp) float64 1MB 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0\n", " arcx |S255 255B b'small_circle'\n", " lon (nyp, nxp) float64 1MB 143.0 143.0 143.1 ... 149.9 150.0 150.0\n", " lat (nyp, nxp) float64 1MB -48.0 -48.0 -48.0 ... -38.95 -38.95\n", " angle_dx_rm6 (nyp, nxp) float64 1MB -0.0 -0.0 -0.0 -0.0 ... -0.0 -0.0 -0.0,\n", " 'vgrid': Size: 1kB\n", " Dimensions: (zi: 76, zl: 75)\n", " Coordinates:\n", " * zi (zi) float64 608B 0.0 11.09 22.22 ... 4.282e+03 4.391e+03 4.5e+03\n", " * zl (zl) float64 600B 5.546 16.66 27.8 ... 4.337e+03 4.446e+03\n", " Data variables:\n", " *empty*,\n", " 'segments': {'north': ,\n", " 'south': ,\n", " 'east': ,\n", " 'west': },\n", " 'boundaries': ['north', 'south', 'east', 'west'],\n", " 'ic_eta': Size: 139kB\n", " dask.array\n", " Coordinates:\n", " xh (ny, nx) float64 279kB 143.0 143.1 143.1 ... 149.9 149.9 150.0\n", " yh (ny, nx) float64 279kB -47.98 -47.98 -47.98 ... -38.97 -38.97\n", " Dimensions without coordinates: ny, nx\n", " Attributes:\n", " time_avg_info: average_T1,average_T2,average_DT\n", " long_name: surface height on T cells [Boussinesq (volume conserving)...\n", " cell_methods: time: mean\n", " units: meter\n", " valid_range: [-1000. 1000.],\n", " 'ic_tracers': Size: 21MB\n", " Dimensions: (ny: 249, nx: 140, zl: 75)\n", " Coordinates:\n", " xh (ny, nx) float64 279kB 143.0 143.1 143.1 ... 149.9 149.9 150.0\n", " yh (ny, nx) float64 279kB -47.98 -47.98 -47.98 ... -38.97 -38.97\n", " * nx (nx) float64 1kB 0.0 1.0 2.0 3.0 4.0 ... 136.0 137.0 138.0 139.0\n", " * ny (ny) float64 2kB 0.0 1.0 2.0 3.0 4.0 ... 245.0 246.0 247.0 248.0\n", " * zl (zl) float64 600B 5.546 16.66 27.8 ... 4.337e+03 4.446e+03\n", " Data variables:\n", " salt (zl, ny, nx) float32 10MB dask.array\n", " temp (zl, ny, nx) float32 10MB dask.array\n", " Attributes:\n", " regrid_method: bilinear,\n", " 'ic_vels': Size: 43MB\n", " Dimensions: (ny: 249, nxp: 141, zl: 75, nyp: 250, nx: 140)\n", " Coordinates:\n", " * ny (ny) int64 2kB 1 3 5 7 9 11 13 15 ... 485 487 489 491 493 495 497\n", " * nxp (nxp) int64 1kB 0 2 4 6 8 10 12 14 ... 268 270 272 274 276 278 280\n", " xq (ny, nxp) float64 281kB 143.0 143.1 143.1 ... 149.9 149.9 150.0\n", " yh (ny, nxp) float64 281kB -47.98 -47.98 -47.98 ... -38.97 -38.97\n", " * nyp (nyp) int64 2kB 0 2 4 6 8 10 12 14 ... 486 488 490 492 494 496 498\n", " * nx (nx) int64 1kB 1 3 5 7 9 11 13 15 ... 267 269 271 273 275 277 279\n", " xh (nyp, nx) float64 280kB 143.0 143.1 143.1 ... 149.9 149.9 150.0\n", " yq (nyp, nx) float64 280kB -48.0 -48.0 -48.0 ... -38.95 -38.95 -38.95\n", " * zl (zl) float64 600B 5.546 16.66 27.8 ... 4.337e+03 4.446e+03\n", " Data variables:\n", " u (zl, ny, nxp) float64 21MB dask.array\n", " v (zl, nyp, nx) float64 21MB dask.array}" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "vars(expt)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Furthermore, we can plot our the interpolated initial condition. It's a good idea to check and ensure things look reasonble, especially near the region's boundaries." ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "scrolled": true }, "outputs": [ { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, axes = plt.subplots(ncols=3, figsize=(16, 4))\n", "\n", "expt.ic_eta.plot(ax=axes[0])\n", "expt.ic_vels.u.sel(zl=0, method='nearest').plot(ax=axes[1])\n", "expt.ic_vels.v.sel(zl=0, method='nearest').plot(ax=axes[2])\n", "\n", "axes[0].set_title(\"sea surface height\")\n", "axes[1].set_title(\"u velocity @ surface\")\n", "axes[2].set_title(\"v velocity @ surface\");" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "To ensure that no spurious gradients have emerged at the boundaries (e.g., during the interpolation) we plot a few slices, e.g.," ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, axes = plt.subplots(ncols=3, figsize=(16, 4))\n", "\n", "expt.ic_eta.isel(nx=0).plot(ax=axes[0])\n", "expt.ic_vels.u.isel(ny=0, zl=0).plot(ax=axes[1])\n", "expt.ic_vels.v.isel(nyp=0, zl=0).plot(ax=axes[2])\n", "\n", "axes[0].set_title(\"sea surface height\")\n", "axes[1].set_title(\"u velocity @ surface\")\n", "axes[2].set_title(\"v velocity @ surface\");" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Step 6: Run the FRE tools\n", "\n", "This is just a wrapper for the FRE tools needed to make the mosaics and masks for the experiment. The only thing we need to tell it is the processor layout. In this case we're asking for a 10 by 10 grid of 100 processors." ] }, { "cell_type": "code", "execution_count": 18, "metadata": { "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Running GFDL's FRE Tools. The following information is all printed by the FRE tools themselves\n", "NOTE from make_solo_mosaic: there are 0 contacts (align-contact)\n", "congradulation: You have successfully run make_solo_mosaic\n", "OUTPUT FROM MAKE SOLO MOSAIC:\n", "\n", "CompletedProcess(args='/g/data/ik11/mom6_tools/tools/make_solo_mosaic/make_solo_mosaic --num_tiles 1 --dir . --mosaic_name ocean_mosaic --tile_file hgrid.nc', returncode=0)\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "cp: './ocean_mosaic.nc' and 'ocean_mosaic.nc' are the same file\n", "cp: './hgrid.nc' and 'hgrid.nc' are the same file\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "cp ./hgrid.nc hgrid.nc \n", "\n", "NOTE from make_coupler_mosaic: the ocean land/sea mask will be determined by field depth from file bathymetry.nc\n", "mosaic_file is grid_spec.nc\n", "\n", "***** Congratulation! You have successfully run make_quick_mosaic\n", "OUTPUT FROM QUICK MOSAIC:\n", "\n", "CompletedProcess(args='/g/data/ik11/mom6_tools/tools/make_quick_mosaic/make_quick_mosaic --input_mosaic ocean_mosaic.nc --mosaic_name grid_spec --ocean_topog bathymetry.nc', returncode=0)\n", "\n", " ===>NOTE from check_mask: when layout is specified, min_pe and max_pe is set to layout(1)*layout(2)=100\n", "\n", " ===>NOTE from check_mask: Below is the list of command line arguments.\n", "\n", "grid_file = ocean_mosaic.nc\n", "topog_file = bathymetry.nc\n", "min_pe = 100\n", "max_pe = 100\n", "layout = 10, 10\n", "halo = 4\n", "sea_level = 0\n", "show_valid_only is not set\n", "nobc = 0\n", "\n", " ===>NOTE from check_mask: End of command line arguments.\n", "\n", " ===>NOTE from check_mask: the grid file is version 2 (mosaic grid) grid which contains field gridfiles\n", "\n", "==>NOTE from get_boundary_type: x_boundary_type is solid_walls\n", "\n", "==>NOTE from get_boundary_type: y_boundary_type is solid_walls\n", "\n", "==>NOTE from check_mask: Checking for possible masking:\n", "==>NOTE from check_mask: Assume 4 halo rows\n", "==>NOTE from check_mask: Total domain size is 140, 249\n", "\n", "_______________________________________________________________________\n", "\n", "NOTE from check_mask: The following is for using model source code with version older than siena_201207,\n", "Possible setting to mask out all-land points region, for use in coupler_nmlTotal number of domains = 100\n", "Number of tasks (excluded all-land region) to be used is 98\n", "Number of regions to be masked out = 2\n", "The layout is 10, 10\n", "Masked and used tasks, 1: used, 0: masked\n", "1111111111\n", "1111111111\n", "1111111111\n", "1111001111\n", "1111111111\n", "1111111111\n", "1111111111\n", "1111111111\n", "1111111111\n", "1111111111\n", " domain decomposition\n", " 14 14 14 14 14 14 14 14 14 14\n", " 25 25 25 25 25 25 25 25 25 24\n", " used=98, masked=2, layout=10,10\n", " To chose this mask layout please put the following lines in ocean_model_nml and/or ice_model_nml\n", " nmask = 2\n", "layout = 10, 10\n", "mask_list = 5,7,6,7\n", "\n", "\n", "_______________________________________________________________________\n", "\n", "NOTE from check_mask: The following is for using model source code with version siena_201207 or newer,\n", " specify ocean_model_nml/ice_model_nml/atmos_model_nml/land_model/nml \n", " variable mask_table with the mask_table created here.\n", " Also specify the layout variable in each namelist using corresponding layout\n", "\n", "***** Congratulation! You have successfully run check_mask\n", "OUTPUT FROM CHECK MASK:\n", "\n", " CompletedProcess(args='/g/data/ik11/mom6_tools/tools/check_mask/check_mask --grid_file ocean_mosaic.nc --ocean_topog bathymetry.nc --layout 10,10 --halo 4', returncode=0)\n" ] } ], "source": [ "expt.run_FRE_tools(layout = (10, 10)) ## tuple defines the processor layout" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Step 7: Modify the default input directory to make a runnable configuration out of the box\n", "\n", "This step copies the default directory, and modifies the `MOM_layout` files to match your experiment by inserting the right number of x, y points and the CPU layout. If we use `payu` to run MOM6, then we set the `using_payu` flag to `True`. This way, an example `config.yaml` file is copied to our run directory. This `config.yaml` still needs to be modified manually to add our NCI projets, locations of executable, etc." ] }, { "cell_type": "code", "execution_count": 19, "metadata": { "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Mask table mask_table.2.10x10 read. Using this to infer the cpu layout (10, 10), total masked out cells 2, and total number of CPUs 98.\n", "Deleting indexed OBC keys from MOM_input_dict in case we have a different number of segments\n" ] } ], "source": [ "expt.setup_run_directory(surface_forcing = \"jra\", using_payu = True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Step 8: Run your model!\n", "\n", "To do this, we navigate to our run directory in terminal. If we are working on NCI, we can run our model via:\n", "\n", "```\n", "module load conda/analysis3\n", "payu setup -f\n", "payu run -f\n", "```\n", "\n", "By default `input.nml` is set to only run for 5 days as a test. If this is successful, then we can modify this file to run for longer." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Step 9 and beyond: Fiddling, troubleshooting, and fine tuning\n", "\n", "Hopefully our model is running. If not, the first thing we should do is reduce the timestep. We can do this by adding `#override DT=XXXX` to your `MOM_override` file. \n", "\n", "If there's strange behaviour on our boundaries, we can play around with the `nudging timescale` (an example is already included in the `MOM_override` file). Sometimes, if a boundary has a lot going on (like all of the eddies spinning off the western boundary currents or off the Antarctic Circumpolar current), it can be hard to avoid these edge effects. This is because the chaotic, submesoscale structures developed within the regional domain won't match those at the boundary.\n", "\n", "Another thing that can go wrong is little bays creating non-advective cells at your boundaries. Keep an eye out for tiny bays where one side is taken up by a boundary segment. We can either fill them in manually, or move your boundary slightly to avoid them." ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [], "source": [ "client.close()" ] } ], "metadata": { "kernelspec": { "display_name": "Python [conda env:analysis3-25.09]", "language": "python", "name": "conda-env-analysis3-25.09-py" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.11.13" } }, "nbformat": 4, "nbformat_minor": 4 }