{ "cells": [ { "cell_type": "markdown", "id": "9c8143ac-543d-4fe8-b011-24362436d2dc", "metadata": {}, "source": [ "# CALCUL WATER MASSES TRANSPORT" ] }, { "cell_type": "code", "execution_count": 2, "id": "0e99b75a", "metadata": { "tags": [] }, "outputs": [], "source": [ "import numpy as N\n", "np=N\n", "import xarray as xr\n", "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "import matplotlib.dates as mdates\n", "import dask\n", "from os import path\n", "from dask.distributed import Client, LocalCluster, progress\n", "import dask_hpcconfig\n", "import glob\n", "from scipy import signal\n", "from dask_jobqueue import PBSCluster\n", "import seawater as sw\n", "import numba\n", "from tools import my_zr_ufunc,water_masses_transport3\n", "\n" ] }, { "cell_type": "markdown", "id": "9d14eb38-231b-4c20-8c92-e78219244e50", "metadata": {}, "source": [ "### set Cluster for dask : On utilise PBS" ] }, { "cell_type": "code", "execution_count": 5, "id": "c0af3e57", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/home1/datahome/mcaillau/conda-env/pydask3/lib/python3.10/site-packages/dask_jobqueue/core.py:255: FutureWarning: job_extra has been renamed to job_extra_directives. You are still using it (even if only set to []; please also check config files). If you did not set job_extra_directives yet, job_extra will be respected for now, but it will be removed in a future release. If you already set job_extra_directives, job_extra is ignored and you can remove it.\n", " warnings.warn(warn, FutureWarning)\n", "/home1/datahome/mcaillau/conda-env/pydask3/lib/python3.10/site-packages/dask_jobqueue/pbs.py:82: FutureWarning: project has been renamed to account as this kwarg was used wit -A option. You are still using it (please also check config files). If you did not set account yet, project will be respected for now, but it will be removed in a future release. If you already set account, project is ignored and you can remove it.\n", " warnings.warn(warn, FutureWarning)\n", "/home1/datahome/mcaillau/conda-env/pydask3/lib/python3.10/site-packages/dask_jobqueue/core.py:255: FutureWarning: job_extra has been renamed to job_extra_directives. You are still using it (even if only set to []; please also check config files). If you did not set job_extra_directives yet, job_extra will be respected for now, but it will be removed in a future release. If you already set job_extra_directives, job_extra is ignored and you can remove it.\n", " warnings.warn(warn, FutureWarning)\n", "/home1/datahome/mcaillau/conda-env/pydask3/lib/python3.10/site-packages/dask_jobqueue/pbs.py:82: FutureWarning: project has been renamed to account as this kwarg was used wit -A option. You are still using it (please also check config files). If you did not set account yet, project will be respected for now, but it will be removed in a future release. If you already set account, project is ignored and you can remove it.\n", " warnings.warn(warn, FutureWarning)\n" ] } ], "source": [ "#PBS\n", "#processes = nombre par lequel on divise le nombre de procs dispo sur le noeud : si 4 alors il y aura 7 process\n", "#cores= nombre de threads au total => nthreads_per_worker = ncores/processes \n", "#si cores=processes alors 1 thread par worker\n", "#si on veut plus de memoire par process on diminue son nombre\n", "\n", "#pour datarmor il faut 1 seul thread par worker quand on fait bcp de IO\n", "cluster = PBSCluster(processes=2,cores=2) \n", "\n", "\n", "cluster.scale(jobs=3)" ] }, { "cell_type": "code", "execution_count": 6, "id": "22c384c1-703e-496e-a8d7-4cad0ca621fb", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/home1/datahome/mcaillau/conda-env/pydask3/lib/python3.10/site-packages/dask_jobqueue/core.py:255: FutureWarning: job_extra has been renamed to job_extra_directives. You are still using it (even if only set to []; please also check config files). If you did not set job_extra_directives yet, job_extra will be respected for now, but it will be removed in a future release. If you already set job_extra_directives, job_extra is ignored and you can remove it.\n", " warnings.warn(warn, FutureWarning)\n", "/home1/datahome/mcaillau/conda-env/pydask3/lib/python3.10/site-packages/dask_jobqueue/pbs.py:82: FutureWarning: project has been renamed to account as this kwarg was used wit -A option. You are still using it (please also check config files). If you did not set account yet, project will be respected for now, but it will be removed in a future release. If you already set account, project is ignored and you can remove it.\n", " warnings.warn(warn, FutureWarning)\n" ] }, { "data": { "text/plain": [ "'#!/usr/bin/env bash\\n\\n#PBS -N dask-worker\\n#PBS -q mpi_1\\n#PBS -A myPROJ\\n#PBS -l select=1:ncpus=28:mem=120GB\\n#PBS -l walltime=04:00:00\\n#PBS -m n\\n\\n/home1/datahome/mcaillau/conda-env/pydask3/bin/python -m distributed.cli.dask_worker tcp://10.148.0.24:52839 --nthreads 1 --nworkers 2 --memory-limit 55.88GiB --name dummy-name --nanny --death-timeout 900 --local-directory $TMPDIR --interface ib0\\n'" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "cluster.job_script()" ] }, { "cell_type": "code", "execution_count": 7, "id": "17872d54", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "http://10.148.0.24:8787/status\n", "\n" ] } ], "source": [ "# connect the client to the cluster\n", "\n", "print(cluster.dashboard_link)\n", "# explicitly connect to the cluster we just created\n", "client = Client(cluster)\n", "print(client)\n" ] }, { "cell_type": "markdown", "id": "5797f3bc-2d62-4a48-ad55-d2be3a96c87a", "metadata": {}, "source": [ "### Select only a part of the domain" ] }, { "cell_type": "code", "execution_count": 8, "id": "2bab76e8-3c8b-4e85-bd70-6ade49b1c384", "metadata": {}, "outputs": [], "source": [ "#set bounds to reduce area to western bassin\n", "xi_bnds,eta_bnds=(420,1026),(350,860)\n" ] }, { "cell_type": "code", "execution_count": 9, "id": "dda7472c-a892-4fd8-be07-d48c537c3588", "metadata": {}, "outputs": [], "source": [ "#read grid\n", "ds_grid=xr.open_dataset('/home/shom_simuref/CROCO/ODC/CONFIGS/MEDITERRANEE_GLOBALE/CROCO_FILES/test2.nc')\n", "ds_grid=ds_grid.isel(xi_rho=slice(*xi_bnds), eta_rho=slice(*eta_bnds),\n", " xi_u=slice(*xi_bnds),eta_v=slice(*eta_bnds))" ] }, { "cell_type": "code", "execution_count": 10, "id": "a8402ee2-055c-4c69-b52b-a99370a59c1a", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "#control plot\n", "h=ds_grid.h.where(ds_grid.h>11)\n", "h.plot()" ] }, { "cell_type": "markdown", "id": "760c3c9a-32b8-4252-9522-9a48bd8eaa29", "metadata": {}, "source": [ "### DATA PATH AND CHUNKS" ] }, { "cell_type": "code", "execution_count": 12, "id": "c422bad6", "metadata": {}, "outputs": [], "source": [ "path=\"/home/shom_simuref/CROCO/ODC/SIMU-RESULT/HINDCAST_2012_2013/OUTPUTS_201207_201307/\"" ] }, { "cell_type": "code", "execution_count": 13, "id": "3a7d4c60-be92-4d59-ae00-5cd88aee8535", "metadata": {}, "outputs": [], "source": [ "list_model=glob.glob(path+\"croco_his_2*.nc\")" ] }, { "cell_type": "code", "execution_count": 14, "id": "6ddbce5c", "metadata": {}, "outputs": [], "source": [ "chunks={'time':8,'s_rho':-1,'xi_rho':865,'eta_rho':936,\"xi_u\":1297,\"eta_v\":935} #chunks sans preprocess\n" ] }, { "cell_type": "markdown", "id": "c0d34b72-7394-44c3-ba79-32eda5d293e8", "metadata": {}, "source": [ "#### FUNCTION TO RESTRICT THE READ OF DATA TO WESTERN BASIN" ] }, { "cell_type": "code", "execution_count": 15, "id": "70f74333-46aa-4f97-b348-f570fa184aa9", "metadata": {}, "outputs": [], "source": [ "from functools import partial\n", "def _preprocess(x, xi_bnds, eta_bnds):\n", " return x.isel(xi_rho=slice(*xi_bnds), eta_rho=slice(*eta_bnds),\n", " xi_u=slice(*xi_bnds),eta_v=slice(*eta_bnds))\n", "\n", "partial_func = partial(_preprocess,xi_bnds=xi_bnds,eta_bnds=eta_bnds)" ] }, { "cell_type": "markdown", "id": "e3553898-b999-46fc-a4c1-fea2b4e98b33", "metadata": {}, "source": [ "### READ THE DATA" ] }, { "cell_type": "code", "execution_count": 16, "id": "9ae90024", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "data size in GB 58.35\n", "\n" ] } ], "source": [ "ds=xr.open_mfdataset(list_model, parallel=False,chunks=\"auto\",\n", " concat_dim=\"time\", combine=\"nested\",\n", " preprocess=partial_func,data_vars='minimal', coords='minimal', compat='override')\n", " # data_vars='minimal', coords='minimal', compat='override')\n", "\n", "print('data size in GB {:0.2f}\\n'.format(ds.nbytes / 1e9))\n" ] }, { "cell_type": "code", "execution_count": 17, "id": "68caae85-ecd6-4a37-bcbc-fca826f26bad", "metadata": {}, "outputs": [], "source": [ "#chunk the data\n", "ds=ds.chunk(chunks)" ] }, { "cell_type": "markdown", "id": "4056231e-c31f-41c6-b2e9-d8da85268654", "metadata": {}, "source": [ "#### assign grid to the dataset because of MPI_NOLAND grid is not complete in the netcdf files" ] }, { "cell_type": "code", "execution_count": 18, "id": "0671579d-6226-4e48-89df-8d738838dc04", "metadata": {}, "outputs": [], "source": [ "for var in [\"xi_rho\",\"eta_rho\",\"lon_rho\",\"lat_rho\",\"lon_u\",\"lat_v\",\"mask_rho\",\"pm\",\"pn\"]:\n", " ds[var]=ds_grid[var]" ] }, { "cell_type": "code", "execution_count": 19, "id": "f43ded1a", "metadata": {}, "outputs": [], "source": [ "coords=list(ds.coords)\n", "variables=list(ds.variables)\n", "to_keep=[\"temp\",\"salt\",\"u\",\"v\",\"zeta\",\"h\"]\n", "var=[x for x in variables if x not in coords and x not in to_keep]" ] }, { "cell_type": "code", "execution_count": 22, "id": "4dfd5899", "metadata": {}, "outputs": [], "source": [ "#ds2=ds.drop(var)\n", "ds2=ds" ] }, { "cell_type": "markdown", "id": "555a7206-193d-4058-ac70-c264f80941f9", "metadata": {}, "source": [ "### Change of coordinates for interpolation and plot" ] }, { "cell_type": "code", "execution_count": 23, "id": "359b1489", "metadata": {}, "outputs": [], "source": [ "coord_dict={\"xi_rho\":\"X\",\"eta_rho\":\"Y\",\"xi_u\":\"X_U\",\"eta_v\":\"Y_V\"}\n", "ds2=ds2.assign_coords({\"X\":ds.lon_rho[0,:], \"Y\":ds.lat_rho[:,0],\"X_U\":ds.lon_u[0,:],\"Y_V\":ds.lat_v[:,0]})\n", "ds3=ds2.swap_dims(coord_dict)" ] }, { "cell_type": "markdown", "id": "904b9668-ff14-4d90-96c4-8f8f1767414e", "metadata": {}, "source": [ "### Interpolation of current speed on meshes center (rho-point)" ] }, { "cell_type": "code", "execution_count": 24, "id": "fd5aeacd-397f-4d5d-b007-6bc76f90c00c", "metadata": {}, "outputs": [], "source": [ "ds3[\"u_rho\"]=ds3.u.interp(X_U=ds3.X,Y=ds3.Y)\n", "ds3[\"v_rho\"]=ds3.v.interp(X=ds3.X,Y_V=ds3.Y)" ] }, { "cell_type": "code", "execution_count": 25, "id": "0b51b584-c011-4043-8b3b-93ba7f5ee6ad", "metadata": {}, "outputs": [], "source": [ "ds3=ds3.drop([\"u\",\"v\",\"xi_rho\",\"eta_rho\",\"lon_rho\",\"lat_rho\",\"xi_u\",\"eta_v\",\"lon_u\",\"lat_v\"])" ] }, { "cell_type": "markdown", "id": "42e867e6-a612-4094-9db9-d650ad9a085a", "metadata": {}, "source": [ "### calcul of depths (will be used to compute the transport)" ] }, { "cell_type": "markdown", "id": "70df8d9c-407d-405a-a075-a7468af9e004", "metadata": {}, "source": [ "#### get all the grid parameters" ] }, { "cell_type": "code", "execution_count": 27, "id": "d3d050ba-12f2-420a-93eb-c1efaf2a80bb", "metadata": {}, "outputs": [], "source": [ "h,hc,sc,cs=ds3.h,ds3.hc,ds3.s_w,ds3.Cs_w\n", "\n", "h=h.where(ds3.mask_rho==1)\n", "\n", "sc=sc.rename({'s_w':'s_rho'})\n", "cs=cs.rename({'s_w':'s_rho'})\n", "\n", "dx,dy=1/ds3.pm,1/ds3.pn\n", "dx=dx.compute()\n", "dy=dy.compute()\n", "hinv=1/(h+hc)" ] }, { "cell_type": "markdown", "id": "ab35239f-744c-445d-a1fe-3889815a8a9c", "metadata": {}, "source": [ "#### calcul of depth from sigma levels" ] }, { "cell_type": "code", "execution_count": 28, "id": "2deca980-8694-4143-8dbf-ef5455d0caaa", "metadata": {}, "outputs": [], "source": [ "zw=my_zr_ufunc(ds3.zeta,h,hinv,hc,sc,cs)\n", "zw=zw.rename({'s_rho':'s_w'})" ] }, { "cell_type": "code", "execution_count": 29, "id": "b5f4d3ff-5ec4-405b-b977-ec84084c2db9", "metadata": {}, "outputs": [], "source": [ "zw=zw.transpose(\"time\",\"s_w\",\"Y\",\"X\")" ] }, { "cell_type": "markdown", "id": "f4f30d1e-bb5e-483f-a620-dbdcfa3e81fb", "metadata": {}, "source": [ "### Calcul of water masses fractions" ] }, { "cell_type": "markdown", "id": "26c0ce72-a3fd-46c0-93c6-107e7e8b7791", "metadata": {}, "source": [ "#### Calcul of water density from T,S" ] }, { "cell_type": "code", "execution_count": 30, "id": "d31c522a", "metadata": { "tags": [] }, "outputs": [], "source": [ "tt=ds3[\"temp\"]\n", "ss=ds3[\"salt\"]\n", "ss=ss.where(ds3.mask_rho==1)\n", "tt=tt.where(ds3.mask_rho==1)" ] }, { "cell_type": "code", "execution_count": 31, "id": "29efe8a2", "metadata": {}, "outputs": [], "source": [ "def density(sal,temp):\n", " # x ...... xr data array\n", " # dims .... dimension aong which to apply function \n", " dens= xr.apply_ufunc(\n", " sw.dens0, # first the function\n", " sal,# now arguments in the order expected by 'butter_filt'\n", " temp, # argument 1\n", " vectorize=False, # loop over non-core dims\n", " dask=\"parallelized\",\n", " output_dtypes=[sal.dtype],\n", " )\n", "\n", " return dens-1000." ] }, { "cell_type": "code", "execution_count": 32, "id": "6901ba20", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CPU times: user 8 ms, sys: 0 ns, total: 8 ms\n", "Wall time: 4.32 ms\n" ] } ], "source": [ "%%time\n", "rr=density(ss,tt)" ] }, { "cell_type": "markdown", "id": "9da70db7", "metadata": {}, "source": [ "#### First step in the calcul of fractions : references coordinates of water masses (defined by theta, S and density)\n" ] }, { "cell_type": "code", "execution_count": 41, "id": "25109c5a", "metadata": {}, "outputs": [], "source": [ "# nAW\n", "s_naw = 36.000; t_naw = 16.000; r_naw = sw.dens0(s_naw,t_naw)-1000;\n", "# mAW\n", "s_maw = 38.450; t_maw = 13.500; r_maw = sw.dens0(s_maw,t_maw)-1000;\n", "# WIW\n", "t_wiw = 13.000; s_wiw = 38.325; r_wiw = sw.dens0(s_maw,t_maw)-1000;\n", "# LIW\n", "s_liw = 39.000; t_liw = 15.000; r_liw = sw.dens0(s_liw,t_liw)-1000;\n", "# WMDW\n", "s_mdw = 38.450; t_mdw = 12.815; r_mdw = sw.dens0(s_mdw,t_mdw)-1000;\n" ] }, { "cell_type": "markdown", "id": "7d65504d", "metadata": { "tags": [] }, "source": [ "#### Second step in the calcul of fractions : the following function compute the differents fractions from the references coordinates" ] }, { "cell_type": "code", "execution_count": 42, "id": "1633e738", "metadata": {}, "outputs": [], "source": [ "def calc_frac(tt,ss,rr):\n", " \n", " #Fractions de mélange entre les masses d'eau\n", "\n", " xr1 = (r_liw-rr)/(r_liw-r_maw) # xr1 (maw) 1-xr1 (liw)\n", " xr2 = (rr-r_liw)/(r_mdw-r_liw) # xr2 (mdw) 1-xr2 (liw)\n", "\n", " xs1 = (s_naw-ss)/s_naw # xs1 (frw) 1-xs1 (naw)\n", " xs2 = (s_maw-ss)/(s_maw-s_naw) # xs2 (naw) 1-xs2 (maw)\n", " xs3 = (ss-s_maw)/(s_liw-s_maw) # xs3 (liw) 1-xs3 (maw)\n", "\n", " xt1 = (tt-t_wiw)/(t_maw-t_wiw) # xt1 (maw) 1-xt1 (wiw)\n", " \n", " # Tri des masses d'eau (pour détails et explication, se référer à l'annexe A du GDoc de l'article n°2 :\n", " # \"Assessment of the water mass dynamics over the Western Mediterranean in the MEDRYS1V2 reanalysis\"\n", "\n", " #surface mask\n", " tmp_surf=N.where((rr <= r_liw), xr1, 0.0)\n", " f_surf=N.where(tmp_surf >=1, 1.0, tmp_surf)\n", "\n", " #deep mask\n", " tmp_deep=N.where(( rr>= r_liw),xr2,0.0)\n", " f_deep=N.where(tmp_deep>=1.,1.,tmp_deep)\n", "\n", " #frw\n", " f_fre=N.where(ss<=s_naw,xs1,0.0)\n", "\n", " #naw\n", " tmp_naw=N.where(ss<=s_maw,xs2,0.0)\n", " f_naw=N.where(tmp_naw>=1.,(1.-f_fre)*f_surf,tmp_naw*f_surf)\n", "\n", " #LIW\n", " f_liw0=N.where(xs3<0.,0.,xs3)\n", " tmp=f_fre+f_naw+f_liw0\n", " \n", " #WIW & mAW\n", " tmp_wiw=N.where((rr1.),1.,tmp_wiw)\n", "\n", " f_wiw=(1.-tmp)*f_surf*rat_wiw\n", " f_maw0=(1.-tmp)*f_surf*(1.-rat_wiw)\n", "\n", " #WMDW\n", " f_mdw=f_deep*(1.-tmp)\n", "\n", " #mIW\n", " f_in0=f_fre+f_naw+f_maw0+f_wiw+f_liw0+f_mdw\n", " f_miw0=1.-f_in0\n", "\n", " #1st correction (too high SSS)\n", " f_liw=N.where(((ss>s_maw) & (f_liw0>0.)) & ((tt>t_liw) | (rr<28.8)),0.0,f_liw0)\n", " f_maw=N.where(((ss>s_maw) & (f_liw0>0.)) & ((tt>t_liw) | (rr<28.8)),f_maw0+f_liw0,f_maw0)\n", "\n", " #2nd correction (machine error )\n", " f_miw=N.where((f_miw0<0.)| ( (f_miw0 !=0.) & (f_miw0<1e-10)),0.,f_miw0)\n", "\n", " return f_naw,f_wiw,f_mdw,f_liw,f_maw,f_miw" ] }, { "cell_type": "markdown", "id": "69176092-8698-4689-b6e4-be281439734f", "metadata": {}, "source": [ "#### The following function is just a wrapper for having outputs in Xarray format. It also managed parallelization with apply_ufunc" ] }, { "cell_type": "code", "execution_count": 43, "id": "e912e14b", "metadata": {}, "outputs": [], "source": [ "def calc_frac_ufunc(temp,sal,dens):\n", " # x ...... xr data array\n", " # dims .... dimension aong which to apply function \n", " f_naw,f_wiw,f_mdw,f_liw,f_maw,f_miw= xr.apply_ufunc(\n", " calc_frac, # first the function\n", " temp,# now arguments in the order expected by 'butter_filt'\n", " sal, # argument 1\n", " dens,\n", " vectorize=False, # loop over non-core dims\n", " dask=\"parallelized\",\n", " #input_core_dims=[ [], [],[]],\n", " output_core_dims=[ [],[],[],[],[],[]], # 1 per output\n", " #exclude_dims=set((\"s_rho\",\"eta_rho\",\"xi_rho\")),\n", " #output_dtypes=[sal.dtype],\n", " )\n", "\n", " return f_naw,f_wiw,f_mdw,f_liw,f_maw,f_miw" ] }, { "cell_type": "markdown", "id": "81466a8c-9e45-4a41-b752-b5008fc2e6a7", "metadata": {}, "source": [ "#### Calcul of fractions" ] }, { "cell_type": "code", "execution_count": 44, "id": "78cd7951", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CPU times: user 8 ms, sys: 0 ns, total: 8 ms\n", "Wall time: 9.65 ms\n" ] } ], "source": [ "%%time\n", "f_naw,f_wiw,f_mdw,f_liw,f_maw,f_miw=calc_frac_ufunc(tt,ss,rr)" ] }, { "cell_type": "markdown", "id": "ac5f4387-a217-47f0-adce-f97a3ac37fa2", "metadata": {}, "source": [ "### List of waters " ] }, { "cell_type": "code", "execution_count": 70, "id": "a8950dce-420c-448a-8cf5-e61df88d7615", "metadata": {}, "outputs": [], "source": [ "waters=[\"naw\",\"wiw\",\"mdw\",\"liw\",\"maw\",\"miw\"]\n", "water=waters[0]\n", "out_path=\"/home/shom_simuref/CROCO/ODC/POSTPROC/MASSES_EAU/\"\n" ] }, { "cell_type": "markdown", "id": "e9982821-789a-4acc-90f3-85c65ccec7e2", "metadata": {}, "source": [ "## Calcul of transport and volume\n", "\n", " split_job_time is a function that split the calcul in several groups of time indexes to be more efficient\n", " \n", "The vertically integrated transport (of u and v) and the volume for a given water masse (defined by its fraction) are computed in water_masses_transport3 function from tools.This is the core of the calcul and it returns a Dataset with the 3 dataArrays (u_transport,v_transport, volume)\n", "\n", "Once each sub-time groups are computed, they are concatenated in a single Xarray Dataset" ] }, { "cell_type": "code", "execution_count": 52, "id": "020f8971-ef91-49f3-ac69-de835d38f802", "metadata": {}, "outputs": [], "source": [ "def split_job_time(time_indexes,frac):\n", " trans_list=[]\n", " #loop over sub-time groups\n", " for ids in time_indexes:\n", " print(ids)\n", " #select data on theses indexes\n", " ds4=ds3.isel(time=ids)\n", " zw2=zw.isel(time=ids)\n", " frac2=frac.isel(time=ids)\n", " #compute of transport and volume\n", " transport=water_masses_transport3(ds4.u_rho,ds4.v_rho,zw2,frac2,dx,dy)\n", " #put the results in a list\n", " trans_list.append(transport.compute())\n", " #return a single dataset (concatenation of the list)\n", " return xr.concat(trans_list,dim=\"time\")" ] }, { "cell_type": "markdown", "id": "7b078d38-dce5-4297-aa6e-efe52aeaf9a4", "metadata": {}, "source": [ "#### Here we split the total time indexes in 15 sub groups (15 is a user choice)" ] }, { "cell_type": "code", "execution_count": 53, "id": "ccfd16e2-2a44-4838-9e64-9acf472fba6f", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9]), array([10, 11, 12, 13, 14, 15, 16, 17, 18, 19]), array([20, 21, 22, 23, 24, 25, 26, 27, 28, 29]), array([30, 31, 32, 33, 34, 35, 36, 37, 38, 39]), array([40, 41, 42, 43, 44, 45, 46, 47, 48, 49]), array([50, 51, 52, 53, 54, 55, 56, 57, 58, 59]), array([60, 61, 62, 63, 64, 65, 66, 67, 68, 69]), array([70, 71, 72, 73, 74, 75, 76, 77, 78, 79]), array([80, 81, 82, 83, 84, 85, 86, 87, 88, 89]), array([90, 91, 92, 93, 94, 95, 96, 97, 98, 99]), array([100, 101, 102, 103, 104, 105, 106, 107, 108, 109]), array([110, 111, 112, 113, 114, 115, 116, 117, 118, 119]), array([120, 121, 122, 123, 124, 125, 126, 127, 128]), array([129, 130, 131, 132, 133, 134, 135, 136, 137]), array([138, 139, 140, 141, 142, 143, 144, 145, 146])]\n" ] } ], "source": [ "time_indexes=N.array_split(N.arange(zw.shape[0]),15)\n", "print(time_indexes)" ] }, { "cell_type": "markdown", "id": "7f20fc74-976d-4c3a-9d93-2d18413d5d8f", "metadata": {}, "source": [ "### Core of the script : here is the loop over waters masses \n", "\n", "It returns and write a Netcdf file for each water containing the transport along u and v and the fraction of the volume of the water per time step" ] }, { "cell_type": "code", "execution_count": 51, "id": "b45ba46e-bc66-4b6a-9e55-89ffbed16d9a", "metadata": {}, "outputs": [ { "ename": "NameError", "evalue": "name 'waters' is not defined", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", "File \u001b[0;32m:1\u001b[0m, in \u001b[0;36m\u001b[0;34m\u001b[0m\n", "\u001b[0;31mNameError\u001b[0m: name 'waters' is not defined" ] } ], "source": [ "%%time\n", "for water in waters:\n", " print(water)\n", " frac=eval(f'f_{water}')\n", " transport=split_job_time(time_indexes[0:1],frac)\n", " transport=transport.sortby(\"time\")\n", " with dask.config.set(scheduler='processes'):\n", " transport.to_netcdf(f'{out_path}/{water}.nc')" ] }, { "cell_type": "markdown", "id": "e21da574-0643-4ab2-b1d6-39e285fce855", "metadata": {}, "source": [ "## DEBUG AND TESTS ONLY" ] }, { "cell_type": "code", "execution_count": 71, "id": "92c5901f-5dfe-40d3-b879-c0aab57cfb0c", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "'\\n%%time\\nids=slice(10,15)\\nds4=ds3.isel(time=ids).compute()\\nzw2=zw.isel(time=ids).compute()\\nfrac2=f_naw.isel(time=ids).compute()\\n'" ] }, "execution_count": 71, "metadata": {}, "output_type": "execute_result" } ], "source": [ "\"\"\"\n", "%%time\n", "ids=slice(10,15)\n", "ds4=ds3.isel(time=ids).compute()\n", "zw2=zw.isel(time=ids).compute()\n", "frac2=f_naw.isel(time=ids).compute()\n", "\"\"\"" ] }, { "cell_type": "code", "execution_count": 72, "id": "f5d4e5f4-6298-4547-978a-1694315818c8", "metadata": { "tags": [] }, "outputs": [ { "data": { "text/plain": [ "\"\\nu=ds4.u_rho.transpose('time','Y','X','s_rho')\\nv=ds4.v_rho.transpose('time','Y','X','s_rho')\\nzw=zw2.transpose('time','Y','X','s_w')\\nfraction=frac2.transpose('time','Y','X','s_rho')\\nu=u.where(u<100)\\nv=v.where(v<100)\\n\"" ] }, "execution_count": 72, "metadata": {}, "output_type": "execute_result" } ], "source": [ "\"\"\"\n", "u=ds4.u_rho.transpose('time','Y','X','s_rho')\n", "v=ds4.v_rho.transpose('time','Y','X','s_rho')\n", "zw=zw2.transpose('time','Y','X','s_w')\n", "fraction=frac2.transpose('time','Y','X','s_rho')\n", "u=u.where(u<100)\n", "v=v.where(v<100)\n", "\"\"\"" ] }, { "cell_type": "code", "execution_count": 73, "id": "bedcc852-0a40-43cc-9072-686aaf5a414d", "metadata": { "tags": [] }, "outputs": [ { "data": { "text/plain": [ "'\\nfrom tools import water_masses_trans3\\ntransu,transv,vol=[],[],[]\\ntransu,transv,vol=water_masses_trans3(u.data,v.data,zw.data,fraction.data,dx.data,dy.data)\\n'" ] }, "execution_count": 73, "metadata": {}, "output_type": "execute_result" } ], "source": [ "\"\"\"\n", "from tools import water_masses_trans3\n", "transu,transv,vol=[],[],[]\n", "transu,transv,vol=water_masses_trans3(u.data,v.data,zw.data,fraction.data,dx.data,dy.data)\n", "\"\"\"" ] }, { "cell_type": "code", "execution_count": 74, "id": "cbbce40f-c65c-4329-8baa-418d32c43760", "metadata": { "tags": [] }, "outputs": [ { "data": { "text/plain": [ "'\\ntest= xr.apply_ufunc(\\n water_masses_trans3, # first the function\\n u,v, # then the arguments without the last which is the result\\n zw,fraction,dx,dy,\\n input_core_dims=[ [\"s_rho\"],[\"s_rho\"], [\"s_w\"],[\"s_rho\"],[],[]],\\n dask=\"parallelized\",\\n #vectorize=True,\\n output_dtypes=[u.dtype,u.dtype,u.dtype],\\n output_core_dims=[[],[],[]],\\n )\\n '" ] }, "execution_count": 74, "metadata": {}, "output_type": "execute_result" } ], "source": [ "\"\"\"\n", "test= xr.apply_ufunc(\n", " water_masses_trans3, # first the function\n", " u,v, # then the arguments without the last which is the result\n", " zw,fraction,dx,dy,\n", " input_core_dims=[ [\"s_rho\"],[\"s_rho\"], [\"s_w\"],[\"s_rho\"],[],[]],\n", " dask=\"parallelized\",\n", " #vectorize=True,\n", " output_dtypes=[u.dtype,u.dtype,u.dtype],\n", " output_core_dims=[[],[],[]],\n", " )\n", " \"\"\"" ] }, { "cell_type": "code", "execution_count": 75, "id": "ab4daa40-ef97-46e4-a4ba-f67accb6270f", "metadata": {}, "outputs": [], "source": [ "#transport=water_masses_transport3(ds4.u_rho,ds4.v_rho,zw2,frac2,dx,dy)" ] }, { "cell_type": "code", "execution_count": 79, "id": "2a103c6d-2e2b-4e7f-bf8c-1ace61077f6c", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "'\\nids=time_indexes[0]\\nds4=ds3.isel(time=ids)\\nzw2=zw.isel(time=ids)\\nfrac2=frac.isel(time=ids)\\n'" ] }, "execution_count": 79, "metadata": {}, "output_type": "execute_result" } ], "source": [ "\"\"\"\n", "ids=time_indexes[0]\n", "ds4=ds3.isel(time=ids)\n", "zw2=zw.isel(time=ids)\n", "frac2=frac.isel(time=ids)\n", "\"\"\"" ] }, { "cell_type": "code", "execution_count": 80, "id": "1f9dd307-9782-45cf-a3ab-7c6ed998b572", "metadata": {}, "outputs": [], "source": [ "#transport=water_masses_transport3(ds4.u_rho,ds4.v_rho,zw2,frac2,dx,dy)" ] }, { "cell_type": "code", "execution_count": null, "id": "fe982a53-f1d6-4bd5-9ae3-dcde64eaef6a", "metadata": {}, "outputs": [], "source": [ "ss=ss.isel(time=time_indexes[-1])\n", "tt=tt.isel(time=time_indexes[-1])\n", "rr=rr.isel(time=time_indexes[-1])\n", "xr1 = (r_liw-rr)/(r_liw-r_maw) # xr1 (maw) 1-xr1 (liw)\n", "#xr2 = (rr-r_liw)/(r_mdw-r_liw) # xr2 (mdw) 1-xr2 (liw)\n", "xs3 = (ss-s_maw)/(s_liw-s_maw) \n", "#surface mask\n", "tmp_surf=N.where((rr <= r_liw), xr1, 0.0)\n", "f_surf=N.where(tmp_surf >=1, 1.0, tmp_surf)\n", "\n", "#deep mask\n", "#tmp_deep=N.where(( rr>= r_liw),xr2,0.0)\n", "#f_deep=N.where(tmp_deep>=1.,1.,tmp_deep)\n", "\n", "xs1 = (s_naw-ss)/s_naw \n", "xs2 = (s_maw-ss)/(s_maw-s_naw) \n", "f_fre=N.where(ss<=s_naw,xs1,0.0)\n", "tmp_naw=N.where(ss<=s_maw,xs2,0.0)\n", "f_naw=N.where(tmp_naw>=1.,(1.-f_fre)*f_surf,tmp_naw*f_surf)\n", "#LIW\n", "f_liw0=N.where(xs3<0.,0.,xs3)\n", "tmp=f_fre+f_naw+f_liw0\n", "#f_mdw=f_deep*(1.-tmp)" ] }, { "cell_type": "code", "execution_count": null, "id": "28d7761b-b816-45fb-b973-8c387184c978", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/dev/shm/pbs.3670435.datarmor0/ipykernel_29392/2111236053.py:1: RuntimeWarning: Mean of empty slice\n", " mask=N.nanmean(tmp,axis=(0,1,))\n" ] } ], "source": [ "mask=N.nanmean(tmp,axis=(0,1,))" ] }, { "cell_type": "code", "execution_count": null, "id": "455b87e9-6874-4a1f-96e6-dfdacf29cbad", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "3.7475507" ] }, "execution_count": 38, "metadata": {}, "output_type": "execute_result" } ], "source": [ "N.nanmax(mask)" ] }, { "cell_type": "code", "execution_count": null, "id": "3a4076b6-3fd6-46f8-9f7a-033fb65d6e62", "metadata": {}, "outputs": [], "source": [ "mask2=N.where((mask<1) | (ds3.mask_rho==0),np.nan,1)" ] }, { "cell_type": "code", "execution_count": 40, "id": "51bfc313-9d51-4ecc-a677-4d71f7a516f5", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "WARNING:root:Setting cartopy.config[\"pre_existing_data_dir\"] to /home1/datahome/mcaillau/conda-env/pydask3/share/cartopy. Don't worry, this is probably intended behaviour to avoid failing downloads of geological data behind a firewall.\n" ] } ], "source": [ "import cartopy.io.shapereader as shpreader\n", "import cartopy.crs as ccrs\n", "from cartopy.feature import ShapelyFeature\n", "import cartopy.feature as cfeature" ] }, { "cell_type": "code", "execution_count": 41, "id": "857403ad-b0e7-42b6-a7f7-c56df546dec9", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "proj=ccrs.LambertConformal(central_latitude=38,central_longitude=15)\n", "lon=ds_grid.lon_rho\n", "lat=ds_grid.lat_rho\n", "fig,ax=plt.subplots(1,1,figsize=(10,8),subplot_kw=dict(projection=proj))\n", "ax.set_extent([-7,36,30,45],crs=ccrs.PlateCarree())\n", "ax.coastlines()\n", "ax.add_feature(cfeature.LAND, zorder=1, edgecolor='k')\n", "cf=ax.pcolormesh(lon,lat,mask2.data,transform=ccrs.PlateCarree())\n", "col=fig.colorbar(cf)" ] } ], "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": "3.10.8" } }, "nbformat": 4, "nbformat_minor": 5 }