#!/usr/bin/env python3 ### ### Script to check water conservation in the IPSL coupled model ### ## Warning, to install, configure, run, use any of included software or ## to read the associated documentation you'll need at least one (1) ## brain in a reasonably working order. Lack of this implement will ## void any warranties (either express or implied). Authors assumes ## no responsability for errors, omissions, data loss, or any other ## consequences caused directly or indirectly by the usage of his ## software by incorrectly or partially configured personal ## ## ## SVN information # $Author$ # $Date$ # $Revision$ # $Id$ # $HeadURL$ ### ## Import system modules import sys, os, shutil, subprocess, platform import numpy as np import configparser, re from pathlib import Path # Check python version if sys.version_info < (3, 8, 0) : print ( f'Python version : {platform.python_version()}' ) raise Exception ( "Minimum Python version is 3.8" ) ## Import local module import WaterUtils as wu ## Creates parser for reading .ini input file config = configparser.ConfigParser (interpolation=configparser.ExtendedInterpolation() ) config.optionxform = str # To keep capitals ## Experiment parameters ATM=None ; ATM_HIS='latlon' ; SRF_HIS='latlon' ; ORCA=None ; NEMO=None ; OCE_relax=False ; OCE_icb=False ; Coupled=False ; Routing=None ; TarRestartPeriod_beg=None ; TarRestartPeriod_end=None ; Comment=None ; Period=None ; Title=None ## ARCHIVE=None ; STORAGE=None ; SCRATCHDIR=None ; R_IN=None ; rebuild=None TmpDir=None ; RunDir=None ; FileOut=None ; dir_ATM_his=None ; dir_SRF_his=None ; dir_OCE_his=None ; dir_ICE_his=None ; FileCommon=None file_ATM_his=None ; file_SRF_his=None ; file_RUN_his=None ; file_OCE_his=None ; file_ICE_his=None ; file_OCE_sca=None tar_restart_beg=None ; tar_restart_end=None ; file_ATM_beg=None ; file_ATM_end=None ; file_DYN_beg=None ; file_DYN_end=None ; file_SRF_beg=None ; file_SRF_end=None file_RUN_beg=None ; file_RUN_end=None ; file_RUN_end=None ; file_OCE_beg=None ; file_ICE_beg=None ; file_OCE_beg=None ; file_OCE_end=None ; file_OCE_srf=None ; file_OCE_sca=None ; file_ICE_beg=None ; file_OCE_end=None ; file_ICE_end=None # Read command line arguments print ( "Name of Python script:", sys.argv[0] ) IniFile = sys.argv[1] # Text existence of IniFile if not os.path.exists (IniFile ) : raise FileExistsError ( f"File not found : {IniFile = }" ) if 'full' in IniFile : FullIniFile = IniFile else : FullIniFile = 'full_' + IniFile print ("Input file : ", IniFile ) config.read (IniFile) FullIniFile = 'full_' + IniFile ## Reading config file for Section in ['Experiment', 'libIGCM', 'Files', 'Physics' ] : if Section in config.keys () : print ( f'Reading [{Section}]' ) for VarName in config[Section].keys() : locals()[VarName] = config[Section][VarName] exec ( f'{VarName} = wu.setBool ({VarName})' ) exec ( f'{VarName} = wu.setNum ({VarName})' ) exec ( f'{VarName} = wu.setNone ({VarName})' ) exec ( f'wu.{VarName} = {VarName}' ) print ( '{:25} set to : {:}'.format (VarName, locals()[VarName]) ) #exec ( f'del {VarName}' ) #-- Some physical constants if wu.unDefined ( 'Ra' ) : Ra = 6366197.7236758135 #-- Earth Radius (m) if wu.unDefined ( 'Grav' ) : Grav = 9.81 #-- Gravity (m^2/s if wu.unDefined ( 'ICE_rho_ice' ) : ICE_rho_ice = 917.0 #-- Ice volumic mass (kg/m3) in LIM3 if wu.unDefined ( 'ICE_rho_sno') : ICE_rho_sno = 330.0 #-- Snow volumic mass (kg/m3) in LIM3 if wu.unDefined ( 'OCE_rho_liq' ) : OCE_rho_liq = 1026.0 #-- Ocean water volumic mass (kg/m3) in NEMO if wu.unDefined ( 'ATM_rho' ) : ATM_rho = 1000.0 #-- Water volumic mass in atmosphere (kg/m^3) if wu.unDefined ( 'SRF_rho' ) : SRF_rho = 1000.0 #-- Water volumic mass in surface reservoir (kg/m^3) if wu.unDefined ( 'RUN_rho' ) : RUN_rho = 1000.0 #-- Water volumic mass of rivers (kg/m^3) if wu.unDefined ( 'ICE_rho_pnd' ) : ICE_rho_pnd = 1000. #-- Water volumic mass in ice ponds (kg/m^3) if wu.unDefined ( 'YearLength' ) : YearLength = 365.25 * 24. * 60. * 60. #-- Year length (s) - Use only to compute drif in approximate unit # Set libIGCM and machine dependant values if not 'Files' in config.keys() : config['Files'] = {} config['Physics'] = { 'Ra':Ra, 'Grav':Grav, 'ICE_rho_ice':ICE_rho_ice, 'ICE_rho_sno':ICE_rho_sno, 'OCE_rho_liq':OCE_rho_liq, 'ATM_rho':ATM_rho, 'SRF_rho':SRF_rho, 'RUN_rho':RUN_rho} ## -------------------------- ICO = ( 'ICO' in wu.ATM ) LMDZ = ( 'LMD' in wu.ATM ) with open ('SetLibIGCM.py') as f: exec ( f.read() ) config['Files']['TmpDir'] = TmpDir if libIGCM : config['libIGCM'] = {'ARCHIVE':ARCHIVE, 'STORAGE':STORAGE, 'SCRATCHDIR':SCRATCHDIR, 'R_IN':R_IN, 'rebuild':rebuild } # Import specific module import nemo, lmdz ## Now import needed scientific modules import xarray as xr # Output file with water budget diagnostics if wu.unDefined ( 'FileOut' ) : FileOut = f'CPL_waterbudget_{JobName}_{YearBegin}_{YearEnd}.out' config['Files']['FileOut'] = FileOut f_out = open ( FileOut, mode = 'w' ) # Useful functions def kg2Sv (val, rho=ATM_rho) : '''From kg to Sverdrup''' return val/dtime_sec*1.0e-6/rho def kg2myear (val, rho=ATM_rho) : '''From kg to m/year''' return val/ATM_aire_sea_tot/rho/NbYear def var2prt (var, small=False, rho=ATM_rho) : if small : return var , kg2Sv(var, rho=rho)*1000., kg2myear(var, rho=rho)*1000. else : return var , kg2Sv(var, rho=rho) , kg2myear(var, rho=rho) def prtFlux (Desc, var, Form='F', small=False, rho=ATM_rho, width=15) : if small : if Form in ['f', 'F'] : ff=" {:12.4e} kg | {:12.4f} mSv | {:12.4f} mm/year " if Form in ['e', 'E'] : ff=" {:12.4e} kg | {:12.4e} mSv | {:12.4e} mm/year " else : if Form in ['f', 'F'] : ff=" {:12.4e} kg | {:12.4f} Sv | {:12.4f} m/year " if Form in ['e', 'E'] : ff=" {:12.4e} kg | {:12.4e} Sv | {:12.4e} m/year " echo ( (' {:>{width}} = ' +ff).format (Desc, *var2prt(var, small, rho=rho), width=width ) ) return None def echo (string, end='\n') : '''Function to print to stdout *and* output file''' print ( str(string), end=end ) sys.stdout.flush () f_out.write ( str(string) + end ) f_out.flush () return None ## Set libIGCM directories if wu.unDefined ('R_OUT' ) : R_OUT = os.path.join ( ARCHIVE , 'IGCM_OUT' ) if wu.unDefined ('R_BUF' ) : R_BUF = os.path.join ( SCRATCHDIR, 'IGCM_OUT' ) if wu.unDefined ('L_EXP' ) : L_EXP = os.path.join (TagName, SpaceName, ExperimentName, JobName) if wu.unDefined ('R_SAVE' ) : R_SAVE = os.path.join ( R_OUT, L_EXP ) if wu.unDefined ('R_BUFR' ) : R_BUFR = os.path.join ( R_BUF, L_EXP ) if wu.unDefined ('POST_DIR' ) : POST_DIR = os.path.join ( R_BUFR, 'Out' ) if wu.unDefined ('REBUILD_DIR') : REBUILD_DIR = os.path.join ( R_BUFR, 'REBUILD' ) if wu.unDefined ('R_BUF_KSH' ) : R_BUF_KSH = os.path.join ( R_BUFR, 'Out' ) if wu.unDefined ('R_FIGR' ) : R_FIGR = os.path.join ( STORAGE, 'IGCM_OUT', L_EXP ) config['libIGCM'] = { 'R_OUT':R_OUT, 'R_BUF':R_BUF, 'L_EXP':L_EXP, 'R_BUFR':R_BUFR, 'POST_DIR':POST_DIR, 'REBUILD_DIR':REBUILD_DIR, 'R_BUF_KSH':R_BUF_KSH, 'R_FIGR':R_FIGR } # Set directory to extract filesa if RunDir == None : RunDir = os.path.join ( TmpDir, f'WATER_{JobName}_{YearBegin}_{YearEnd}' ) config['Files']['RunDir'] = RunDir if not os.path.isdir ( RunDir ) : os.makedirs ( RunDir ) # Set directories to rebuild ocean and ice restart files RunDirOCE = os.path.join ( RunDir, 'OCE' ) RunDirICE = os.path.join ( RunDir, 'ICE' ) #RunDirATM = os.path.join ( RunDir, 'ATM' ) #RunDirSRF = os.path.join ( RunDir, 'SRF' ) #RunDirRUN = os.path.join ( RunDir, 'RUN' ) #RunDirDYN = os.path.join ( RunDir, 'DYN' ) if not os.path.exists ( RunDirOCE ) : os.mkdir ( RunDirOCE ) if not os.path.exists ( RunDirICE ) : os.mkdir ( RunDirICE ) echo (' ') echo ( f'JobName : {JobName}' ) echo ( f'Comment : {Comment}' ) echo ( f'TmpDir : {TmpDir}' ) echo ( f'RunDirOCE : {RunDirOCE}' ) echo ( f'RunDirICE : {RunDirICE}' ) echo ( f'\nDealing with {L_EXP}' ) #-- Model output directories if Freq == "MO" : FreqDir = os.path.join ('Output' , 'MO' ) if Freq == "SE" : FreqDir = os.path.join ('Analyse', 'SE' ) if dir_ATM_his == None : dir_ATM_his = os.path.join ( R_SAVE, "ATM", FreqDir ) config['Files']['dir_ATM_his'] = dir_ATM_his if dir_SRF_his == None : dir_SRF_his = os.path.join ( R_SAVE, "SRF", FreqDir ) config['Files']['dir_SRF_his'] = dir_SRF_his if dir_OCE_his == None : dir_OCE_his = os.path.join ( R_SAVE, "OCE", FreqDir ) config['Files']['dir_OCE_his'] = dir_OCE_his if dir_ICE_his == None : dir_ICE_his = os.path.join ( R_SAVE, "ICE", FreqDir ) config['Files']['dir_ICE_his'] = dir_ICE_his echo ( f'The analysis relies on files from the following model output directories : ' ) echo ( f'{dir_ATM_his}' ) echo ( f'{dir_OCE_his}' ) echo ( f'{dir_ICE_his}' ) echo ( f'{dir_SRF_his}' ) #-- Creates files names if Period == None : if Freq == 'MO' : Period = f'{YearBegin}0101_{YearEnd}1231_1M' if Freq == 'SE' : Period = f'SE_{YearBegin}0101_{YearEnd}1231_1M' config['Files']['Period'] = Period if FileCommon == None : FileCommon = f'{JobName}_{Period}' config['Files']['FileCommon'] = FileCommon if Title == None : Title = f'{JobName} : {Freq} : {YearBegin}-01-01 - {YearEnd}-12-31' config['Files']['Title'] = Title echo ('\nOpen history files' ) if file_ATM_his == None : file_ATM_his = os.path.join ( dir_ATM_his, f'{FileCommon}_histmth.nc' ) config['Files']['file_ATM_his'] = file_ATM_his if file_SRF_his == None : file_SRF_his = os.path.join ( dir_SRF_his, f'{FileCommon}_sechiba_history.nc' ) config['Files']['file_SRF_his'] = file_SRF_his #if Routing == 'SECHIBA' : # file_RUN_his = os.path.join ( dir_SRF_his, f'{FileCommon}_sechiba_history.nc' ) if Routing == 'SIMPLE' : if file_RUN_his == None : file_RUN_his = os.path.join ( dir_SRF_his, f'{FileCommon}_sechiba_history.nc' ) config['Files']['file_RUN_his'] = file_RUN_his if file_OCE_his == None : file_OCE_his = os.path.join ( dir_OCE_his, f'{FileCommon}_grid_T.nc' ) config['Files']['file_OCE_his'] = file_OCE_his if file_OCE_sca == None : file_OCE_sca = os.path.join ( dir_OCE_his, f'{FileCommon}_scalar.nc' ) config['Files']['file_OCE_sca'] = file_OCE_sca if file_ICE_his == None : file_ICE_his = os.path.join ( dir_ICE_his, f'{FileCommon}_icemod.nc' ) config['Files']['file_ICE_his'] = file_ICE_his if file_OCE_srf == None : file_OCE_srf = os.path.join ( dir_OCE_his, f'{FileCommon}_grid_T.nc' ) config['Files']['file_OCE_srf'] = file_OCE_srf d_ATM_his = xr.open_dataset ( file_ATM_his, use_cftime=True, decode_times=True, decode_cf=True ).squeeze() d_OCE_his = xr.open_dataset ( file_OCE_his, use_cftime=True, decode_times=True, decode_cf=True ).squeeze() d_OCE_sca = xr.open_dataset ( file_OCE_sca, use_cftime=True, decode_times=True, decode_cf=True ).squeeze() d_ICE_his = xr.open_dataset ( file_ICE_his, use_cftime=True, decode_times=True, decode_cf=True ).squeeze() if NEMO == '3.6' :d_ICE_his = d_ICE_his.rename ( {'y_grid_T':'y', 'x_grid_T':'x'} ) d_SRF_his = xr.open_dataset ( file_SRF_his, use_cftime=True, decode_times=True, decode_cf=True ).squeeze() d_OCE_srf = xr.open_dataset ( file_OCE_srf, use_cftime=True, decode_times=True, decode_cf=True ).squeeze() if Routing == 'SECHIBA' : d_RUN_his = d_SRF_his if Routing == 'SIMPLE' : d_RUN_his = xr.open_dataset ( file_RUN_his, use_cftime=True, decode_times=True, decode_cf=True ).squeeze() echo ( f'{file_ATM_his = }' ) echo ( f'{file_SRF_his = }' ) if Routing == 'SIMPLE' : echo ( f'{file_RUN_his = }' ) echo ( f'{file_OCE_his = }' ) echo ( f'{file_ICE_his = }' ) echo ( f'{file_OCE_sca = }' ) echo ( f'{file_OCE_srf = }' ) ## Compute run length dtime = ( d_ATM_his.time_counter_bounds.max() - d_ATM_his.time_counter_bounds.min() ) echo ('\nRun length : {:8.2f} days'.format ( (dtime/np.timedelta64(1, "D")).values ) ) dtime_sec = (dtime/np.timedelta64(1, "s")).values.item() # Convert in seconds ## Compute length of each period dtime_per = (d_ATM_his.time_counter_bounds[:,-1] - d_ATM_his.time_counter_bounds[:,0] ) echo ('\nPeriods lengths (days) : {:} days'.format ( (dtime_per/np.timedelta64(1, "D")).values ) ) dtime_per_sec = (dtime_per/np.timedelta64(1, "s")).values # In seconds dtime_per_sec = xr.DataArray (dtime_per_sec, dims=["time_counter", ], coords=[d_ATM_his.time_counter,] ) dtime_per_sec.attrs['unit'] = 's' # Number of years NbYear = dtime_sec / YearLength #-- Open restart files YearRes = YearBegin - 1 # Year of the restart of beginning of simulation YearPre = YearBegin - PackFrequency # Year to find the tarfile of the restart of beginning of simulation config['Files']['YearPre'] = f'{YearBegin}' echo (f'Restart dates - Start : {YearRes}-12-31 / End : {YearEnd}-12-31 ') if TarRestartPeriod_beg == None : echo (f'Restart dates - Start : {YearRes}-12-31 / End : {YearEnd}-12-31 ') TarRestartPeriod_beg = f'{YearPre}0101_{YearRes}1231' config['Files']['TarRestartPeriod_beg'] = TarRestartPeriod_beg if TarRestartPeriod_end == None : YearPre = YearBegin - PackFrequency # Year to find the tarfile of the restart of beginning of simulation echo (f'Restart dates - Start : {YearRes}-12-31 / End : {YearEnd}-12-31 ') TarRestartPeriod_end = f'{YearBegin}0101_{YearEnd}1231' config['Files']['TarRestartPeriod_end'] = TarRestartPeriod_end if tar_restart_beg == None : tar_restart_beg = os.path.join ( R_SAVE, 'RESTART', f'{JobName}_{TarRestartPeriod_beg}_restart.tar' ) config['Files']['tar_restart_beg'] = tar_restart_beg if tar_restart_end == None : tar_restart_end = os.path.join ( R_SAVE, 'RESTART', f'{JobName}_{TarRestartPeriod_end}_restart.tar' ) config['Files']['tar_restart_end'] = tar_restart_end echo ( f'{tar_restart_beg}' ) echo ( f'{tar_restart_end}' ) if file_ATM_beg == None : file_ATM_beg = f'{RunDir}/ATM_{JobName}_{YearRes}1231_restartphy.nc' config['Files']['file_ATM_beg'] = file_ATM_beg if file_ATM_end == None : file_ATM_end = f'{RunDir}/ATM_{JobName}_{YearEnd}1231_restartphy.nc' config['Files']['file_ATM_end'] = file_ATM_end if file_DYN_beg == None : if LMDZ : file_DYN_beg = f'{RunDir}/ATM_{JobName}_{YearRes}1231_restart.nc' if ICO : file_DYN_beg = f'{RunDir}/ICO_{JobName}_{YearRes}1231_restart.nc' config['Files']['file_DYN_beg'] = file_DYN_beg if file_DYN_end == None : if LMDZ : file_DYN_end = f'{RunDir}/ATM_{JobName}_{YearEnd}1231_restart.nc' if ICO : file_DYN_end = f'{RunDir}/ICO_{JobName}_{YearEnd}1231_restart.nc' config['Files']['file_DYN_end'] = file_DYN_end if file_SRF_beg == None : file_SRF_beg = f'{RunDir}/SRF_{JobName}_{YearRes}1231_sechiba_rest.nc' config['Files']['file_SRF_beg'] = file_SRF_beg if file_SRF_end == None : file_SRF_end = f'{RunDir}/SRF_{JobName}_{YearEnd}1231_sechiba_rest.nc' config['Files']['file_SRF_end'] = file_SRF_end if file_OCE_beg == None : file_OCE_beg = f'{RunDir}/OCE_{JobName}_{YearRes}1231_restart.nc' config['Files']['file_OCE_beg'] = file_OCE_beg if file_OCE_end == None : file_OCE_end = f'{RunDir}/OCE_{JobName}_{YearEnd}1231_restart.nc' config['Files']['file_OCE_end'] = file_OCE_end if file_ICE_beg == None : file_ICE_beg = f'{RunDir}/ICE_{JobName}_{YearRes}1231_restart_icemod.nc' config['Files']['file_ICE_beg'] = file_ICE_beg if file_ICE_end == None : file_ICE_end = f'{RunDir}/ICE_{JobName}_{YearEnd}1231_restart_icemod.nc' config['Files']['file_ICE_end'] = file_ICE_end liste_beg = [file_ATM_beg, file_DYN_beg, file_SRF_beg] liste_end = [file_ATM_end, file_DYN_end, file_SRF_end] if Routing == 'SIMPLE' : if file_RUN_beg == None : file_RUN_beg = f'{RunDir}/SRF_{JobName}_{YearRes}1231_routing_restart.nc' config['Files']['file_RUN_beg'] = file_RUN_beg if file_RUN_end == None : file_RUN_end = f'{RunDir}/SRF_{JobName}_{YearEnd}1231_routing_restart.nc' config['Files']['file_RUN_end'] = file_RUN_end liste_beg.append ( file_RUN_beg ) liste_end.append ( file_RUN_end ) echo ( f'{file_RUN_beg = }' ) echo ( f'{file_RUN_end = }' ) echo ( f'{file_ATM_beg = }' ) echo ( f'{file_ATM_end = }' ) echo ( f'{file_DYN_beg = }' ) echo ( f'{file_DYN_end = }' ) echo ( f'{file_SRF_beg = }' ) echo ( f'{file_SRF_end = }' ) echo ( f'{file_RUN_beg = }' ) echo ( f'{file_RUN_end = }' ) echo ( f'{file_OCE_beg = }' ) echo ( f'{file_OCE_end = }' ) echo ( f'{file_ICE_beg = }' ) echo ( f'{file_ICE_end = }' ) echo ('\nExtract restart files from tar : ATM, ICO and SRF') for resFile in liste_beg + liste_end : if os.path.exists ( os.path.join (RunDir, resFile) ) : echo ( f'file found : {resFile = }' ) else : base_file = Path (file_name).stem # basename, and remove suffix command = f'cd {RunDir} ; tar xf {tar_restart_beg} {base_resFile}.nc' echo ( command ) ierr = os.system ( command ) if ierr == 0 : echo ( f'tar done : {base_resFile}') else : raise Exception ( f'command failed : {command}' ) echo ('\nOpening ATM SRF and ICO restart files') d_ATM_beg = xr.open_dataset ( os.path.join (RunDir, file_ATM_beg), decode_times=False, decode_cf=True).squeeze() d_ATM_end = xr.open_dataset ( os.path.join (RunDir, file_ATM_end), decode_times=False, decode_cf=True).squeeze() d_SRF_beg = xr.open_dataset ( os.path.join (RunDir, file_SRF_beg), decode_times=False, decode_cf=True).squeeze() d_SRF_end = xr.open_dataset ( os.path.join (RunDir, file_SRF_end), decode_times=False, decode_cf=True).squeeze() d_DYN_beg = xr.open_dataset ( os.path.join (RunDir, file_DYN_beg), decode_times=False, decode_cf=True).squeeze() d_DYN_end = xr.open_dataset ( os.path.join (RunDir, file_DYN_end), decode_times=False, decode_cf=True).squeeze() echo ('\nExtract and rebuild OCE and ICE restarts') def get_ndomain (zfile) : #d_zfile = xr.open_dataset (zfile, decode_times=False).squeeze() #ndomain_opa = d_zfile.attrs['DOMAIN_number_total'] #d_zfile.close () ndomain_opa = subprocess.getoutput ( f'ls {zfile}_*.nc | wc -l' ) #.format() return int (ndomain_opa) def extract_and_rebuild ( file_name=file_OCE_beg, tar_restart=tar_restart_end, RunDirComp=RunDirOCE ) : '''Extract restart file from tar. Rebuild ocean files if needed''' echo ( f'file to extract : {file_name} ' ) if os.path.exists ( file_name ) : echo ( f'-- File ready : {file_name}' ) else : echo ( f'-- Extracting {file_name}' ) base_resFile = Path (file_name).stem # basename, and remove suffix # Try to extract the rebuilded file command = f'cd {RunDirComp} ; tar xf {tar_restart} {base_resFile}.nc' echo ( command ) ierr = os.system ( command ) if ierr == 0 : echo ( f'tar done : {base_resFile}') command = f'cd {RunDirComp} ; mv {base_resFile}.nc {RunDir}' ierr = os.system ( command ) if ierr == 0 : echo ( f'command done : {command}' ) else : raise Exception ( f'command failed : {command}' ) else : if not os.path.exists ( os.path.join (RunDir, f'{base_resFile}_0000.nc') ): command = f'cd {RunDirComp} ; tar xf {tar_restart_end} {base_resFile}_*.nc' echo ( command ) ierr = os.system ( command ) if ierr == 0 : echo ( f'tar done : {file_OCE_beg}') else : raise Exception ( f'command failed : {command}' ) echo ('extract ndomain' ) ndomain_opa = get_ndomain ( os.path.join (RunDir, f'{base_resFile}') ) command = f'cd {RunDirComp} ; {rebuild} {base_resFile} {ndomain_opa} ; mv {base_resFile}.nc {RunDir}' echo ( command ) ierr = os.system ( command ) if ierr == 0 : echo ( f'Rebuild done : {base_resFile}.nc') else : raise Exception ( f'command failed : {command}' ) extract_and_rebuild ( file_name=file_OCE_beg, tar_restart=tar_restart_beg, RunDirComp=RunDirOCE ) extract_and_rebuild ( file_name=file_OCE_end, tar_restart=tar_restart_end, RunDirComp=RunDirOCE ) extract_and_rebuild ( file_name=file_ICE_beg, tar_restart=tar_restart_beg, RunDirComp=RunDirICE ) extract_and_rebuild ( file_name=file_ICE_end, tar_restart=tar_restart_end, RunDirComp=RunDirICE ) echo ('Opening OCE and ICE restart files') if NEMO == 3.6 : d_OCE_beg = xr.open_dataset ( os.path.join (RunDir, file_OCE_beg), decode_times=False, decode_cf=True, drop_variables=['y', 'x']).squeeze() d_OCE_end = xr.open_dataset ( os.path.join (RunDir, file_OCE_end), decode_times=False, decode_cf=True).squeeze() d_ICE_beg = xr.open_dataset ( os.path.join (RunDir, file_ICE_beg), decode_times=False, decode_cf=True).squeeze() d_ICE_end = xr.open_dataset ( os.path.join (RunDir, file_ICE_end), decode_times=False, decode_cf=True).squeeze() if NEMO == 4.0 or NEMO == 4.2 : d_OCE_beg = xr.open_dataset ( os.path.join (RunDir, file_OCE_beg), decode_times=False, decode_cf=True, drop_variables=['y', 'x']).squeeze() d_OCE_end = xr.open_dataset ( os.path.join (RunDir, file_OCE_end), decode_times=False, decode_cf=True, drop_variables=['y', 'x']).squeeze() d_ICE_beg = xr.open_dataset ( os.path.join (RunDir, file_ICE_beg), decode_times=False, decode_cf=True, drop_variables=['y', 'x']).squeeze() d_ICE_end = xr.open_dataset ( os.path.join (RunDir, file_ICE_end), decode_times=False, decode_cf=True, drop_variables=['y', 'x']).squeeze() ## Write the full configuration config_out = open (FullIniFile, 'w') config.write (config_out ) config_out.close () for var in d_SRF_beg.variables : d_SRF_beg[var] = d_SRF_beg[var].where ( d_SRF_beg[var]<1.e20, 0.) d_SRF_end[var] = d_SRF_end[var].where ( d_SRF_end[var]<1.e20, 0.) if ICO : d_RUN_beg = xr.open_dataset ( os.path.join (RunDir, file_RUN_beg), decode_times=False, decode_cf=True).squeeze() d_RUN_end = xr.open_dataset ( os.path.join (RunDir, file_RUN_end), decode_times=False, decode_cf=True).squeeze() def kg2Sv (val, rho=OCE_rho_liq) : '''From kg to Sverdrup''' return val/dtime_sec*1.0e-6/rho def kg2myear (val, rho=OCE_rho_liq) : '''From kg to m/year''' return val/OCE_aire_tot/rho/NbYear def var2prt (var, small=False) : if small : return var , kg2Sv(var)*1000., kg2myear(var)*1000. else : return var , kg2Sv(var) , kg2myear(var) def prtFlux (Desc, var, Form='F', small=False) : if small : if Form in ['f', 'F'] : ff=" {:12.4e} kg | {:12.4f} mSv | {:12.4f} mm/year " if Form in ['e', 'E'] : ff=" {:12.4e} kg | {:12.4e} mSv | {:12.4e} mm/year " else : if Form in ['f', 'F'] : ff=" {:12.4e} kg | {:12.4f} Sv | {:12.4f} m/year " if Form in ['e', 'E'] : ff=" {:12.4e} kg | {:12.4e} Sv | {:12.4e} m/year " echo ( (' {:>15} = ' +ff).format (Desc, *var2prt(var, small) ) ) return None # ATM grid with cell surfaces if ICO : if ATM_HIS == 'latlon' : jpja, jpia = d_ATM_his['aire'][0].shape file_ATM_aire = os.path.join ( R_IN, 'ATM', 'GRID', f'aire_{ATM}_to_{jpia}x{jpja}.nc' ) config['Files']['file_ATM_aire'] = file_ATM_aire echo ( f'Aire sur grille reguliere : {file_ATM_aire = }' ) d_ATM_aire = xr.open_dataset ( file_ATM_aire, decode_times=False ).squeeze() ATM_aire = lmdz.geo2point ( d_ATM_aire ['aire'].squeeze(), cumulPoles=True ) ATM_fter = lmdz.geo2point ( d_ATM_his ['fract_ter'][0] ) ATM_foce = lmdz.geo2point ( d_ATM_his ['fract_oce'][0] ) ATM_fsic = lmdz.geo2point ( d_ATM_his ['fract_sic'][0] ) ATM_flic = lmdz.geo2point ( d_ATM_his ['fract_lic'][0] ) SRF_aire = lmdz.geo2point ( d_SRF_his ['Areas'] * d_SRF_his ['Contfrac'] ) #SRF_aire = ATM_aire * lmdz.geo2point (d_SRF_his ['Contfrac'] ) #SRF_aire = ATM_aire * ATM_fter if ATM_HIS == 'ico' : echo ( f'Aire sur grille icosaedre : {file_ATM_aire = }' ) if LMDZ : ATM_aire = lmdz.geo2point ( d_ATM_his ['aire'][0], cumulPoles=True ) ATM_fter = lmdz.geo2point ( d_ATM_his ['fract_ter'][0] ) ATM_foce = lmdz.geo2point ( d_ATM_his ['fract_oce'][0] ) ATM_fsic = lmdz.geo2point ( d_ATM_his ['fract_sic'][0] ) ATM_flic = lmdz.geo2point ( d_ATM_his ['fract_lic'][0] ) #SRF_aire = lmdz.geo2point ( d_SRF_his['Areas'] * d_SRF_his['Contfrac'] ) SRF_aire = ATM_aire * lmdz.geo2point ( d_SRF_his['Contfrac'] ) ATM_fsea = ATM_foce + ATM_fsic ATM_flnd = ATM_fter + ATM_flic ATM_aire_fter = ATM_aire * ATM_fter ATM_aire_flic = ATM_aire * ATM_flic ATM_aire_fsic = ATM_aire * ATM_fsic ATM_aire_foce = ATM_aire * ATM_foce ATM_aire_flnd = ATM_aire * ATM_flnd ATM_aire_fsea = ATM_aire * ATM_fsea SRF_aire = SRF_aire.where ( SRF_aire < 1E15, 0.) if ICO : # Area on icosahedron grid file_DYN_aire = os.path.join ( R_IN, 'ATM', 'GRID', ATM+'_grid.nc' ) d_DYN_aire = xr.open_dataset ( file_DYN_aire, decode_times=False).squeeze() d_DYN_aire = d_DYN_aire.rename ( {'cell':'cell_mesh'} ) DYN_aire = d_DYN_aire['aire'] DYN_fsea = d_DYN_aire ['fract_oce'] + d_DYN_aire ['fract_sic'] DYN_flnd = 1.0 - DYN_fsea if LMDZ : # Area on lon/lat grid DYN_aire = ATM_aire DYN_fsea = ATM_fsea DYN_flnd = ATM_flnd DYN_fter = d_ATM_beg['FTER'] DYN_flic = d_ATM_beg['FTER'] def ATM_stock_int (stock) : '''Integrate (* surface) stock on atmosphere grid''' ATM_stock_int = wu.Psum ( (stock * DYN_aire).to_masked_array().ravel() ) return ATM_stock_int def ATM_flux_int (flux) : '''Integrate (* time * surface) flux on atmosphere grid''' ATM_flux_int = wu.Psum ( (flux * dtime_per_sec * ATM_aire).to_masked_array().ravel() ) return ATM_flux_int def SRF_stock_int (stock) : '''Integrate (* surface) stock on land grid''' ATM_stock_int = wu.Ksum ( ( (stock * DYN_aire_fter).to_masked_array().ravel()) ) return ATM_stock_int def SRF_flux_int (flux) : '''Integrate (* time * surface) flux on land grid''' SRF_flux_int = wu.Psum ( (flux * dtime_per_sec * SRF_aire).to_masked_array().ravel() ) return SRF_flux_int def OCE_stock_int (stock) : '''Integrate stock on ocean grid''' OCE_stock_int = np.sum ( np.sort ( (stock * OCE_aire ).to_masked_array().ravel()) ) return OCE_stock_int def ONE_stock_int (stock) : '''Sum stock''' ONE_stock_int = np.sum ( np.sort ( (stock ).to_masked_array().ravel()) ) return ONE_stock_int def OCE_flux_int (flux) : '''Integrate flux on oce grid''' OCE_flux_int = np.sum ( np.sort ( (flux * OCE_aire * dtime_per_sec).to_masked_array().ravel()) ) return OCE_flux_int def ONE_flux_int (flux) : '''Integrate flux on oce grid''' OCE_flux_int = np.sum ( np.sort ( (flux * dtime_per_sec).to_masked_array().ravel()) ) return OCE_flux_int #if LMDZ : # d_ATM_beg = d_ATM_beg.assign ( coords={'lon':d_ATM_beg.lon*180./np.pi} ) # Get mask and surfaces sos = d_OCE_his ['sos'][0].squeeze() OCE_msk = nemo.lbc_mask ( xr.where ( sos>0, 1., 0.0 ), cd_type = 'T' ) so = sos = d_OCE_his ['sos'][0].squeeze() OCE_msk3 = nemo.lbc_mask ( xr.where ( so>0., 1., 0. ), cd_type = 'T', sval = 0. ) # lbc_mask removes the duplicate points (periodicity and north fold) OCE_aire = nemo.lbc_mask ( d_OCE_his ['area'] * OCE_msk, cd_type = 'T', sval = 0.0 ) ICE_aire = OCE_aire ATM_aire_tot = ONE_stock_int (ATM_aire) SRF_aire_tot = ONE_stock_int (SRF_aire) OCE_aire_tot = ONE_stock_int (OCE_aire) ICE_aire_tot = ONE_stock_int (ICE_aire) ATM_aire_sea = ATM_aire * ATM_fsea ATM_aire_sea_tot = ONE_stock_int ( ATM_aire_sea ) echo ( '\n====================================================================================' ) echo ( '-- NEMO change in stores (for the records)' ) #-- Note that the total number of days of the run should be diagnosed rather than assumed #-- Here the result is in Sv # #-- Change in ocean volume in freshwater equivalent OCE_ssh_beg = d_OCE_beg['sshn'] OCE_ssh_end = d_OCE_end['sshn'] OCE_sum_ssh_beg = OCE_stock_int ( OCE_ssh_beg ) OCE_sum_ssh_end = OCE_stock_int ( OCE_ssh_end ) OCE_mas_wat_beg = OCE_sum_ssh_beg * OCE_rho_liq OCE_mas_wat_end = OCE_sum_ssh_end * OCE_rho_liq echo ( 'OCE_sum_ssh_beg = {:12.6e} m^3 | OCE_sum_ssh_end = {:12.6e} m^3'.format (OCE_sum_ssh_beg, OCE_sum_ssh_end) ) dOCE_vol_liq = ( OCE_sum_ssh_end - OCE_sum_ssh_beg ) dOCE_mas_liq = dOCE_vol_liq * OCE_rho_liq dOCE_mas_wat = dOCE_mas_liq echo ( 'dOCE vol = {:12.3e} m^3'.format (dOCE_vol_liq) ) echo ( 'dOCE ssh = {:12.3e} m '.format (dOCE_vol_liq/OCE_aire_tot) ) echo ( 'dOCE mass = {:12.3e} kg '.format (dOCE_mas_liq) ) echo ( 'dOCE mass = {:12.3e} Sv '.format (dOCE_mas_liq/dtime_sec*1E-6/OCE_rho_liq) ) ## Glace et neige if NEMO == 3.6 : ICE_ice_beg = d_ICE_beg['v_i_htc1']+d_ICE_beg['v_i_htc2']+d_ICE_beg['v_i_htc3']+d_ICE_beg['v_i_htc4']+d_ICE_beg['v_i_htc5'] ICE_ice_end = d_ICE_end['v_i_htc1']+d_ICE_end['v_i_htc2']+d_ICE_end['v_i_htc3']+d_ICE_end['v_i_htc4']+d_ICE_end['v_i_htc5'] ICE_sno_beg = d_ICE_beg['v_s_htc1']+d_ICE_beg['v_s_htc2']+d_ICE_beg['v_s_htc3']+d_ICE_beg['v_s_htc4']+d_ICE_beg['v_s_htc5'] ICE_sno_end = d_ICE_end['v_s_htc1']+d_ICE_end['v_s_htc2']+d_ICE_end['v_s_htc3']+d_ICE_end['v_s_htc4']+d_ICE_end['v_s_htc5'] ICE_pnd_beg = 0.0 ; ICE_pnd_end = 0.0 ICE_fzl_beg = 0.0 ; ICE_fzl_end = 0.0 ICE_mas_wat_beg = OCE_stock_int ( (ICE_ice_beg*ICE_rho_ice + ICE_sno_beg*ICE_rho_sno) ) ICE_mas_wat_end = OCE_stock_int ( (ICE_ice_end*ICE_rho_ice + ICE_sno_end*ICE_rho_sno) ) if NEMO == 4.0 or NEMO == 4.2 : ICE_ice_beg = d_ICE_beg ['v_i'] ; ICE_ice_end = d_ICE_end ['v_i'] ICE_sno_beg = d_ICE_beg ['v_s'] ; ICE_sno_end = d_ICE_end ['v_s'] ICE_pnd_beg = d_ICE_beg ['v_ip'] ; ICE_pnd_end = d_ICE_end ['v_ip'] ICE_fzl_beg = d_ICE_beg ['v_il'] ; ICE_fzl_end = d_ICE_end ['v_il'] ICE_mas_wat_beg = OCE_stock_int ( d_ICE_beg['snwice_mass'] ) ICE_mas_wat_end = OCE_stock_int ( d_ICE_end['snwice_mass'] ) ICE_vol_ice_beg = OCE_stock_int ( ICE_ice_beg ) ICE_vol_ice_end = OCE_stock_int ( ICE_ice_end ) ICE_vol_sno_beg = OCE_stock_int ( ICE_sno_beg ) ICE_vol_sno_end = OCE_stock_int ( ICE_sno_end ) ICE_vol_pnd_beg = OCE_stock_int ( ICE_pnd_beg ) ICE_vol_pnd_end = OCE_stock_int ( ICE_pnd_end ) ICE_vol_fzl_beg = OCE_stock_int ( ICE_fzl_beg ) ICE_vol_fzl_end = OCE_stock_int ( ICE_fzl_end ) #-- Converting to freswater volume dICE_vol_ice = ICE_vol_ice_end - ICE_vol_ice_beg dICE_mas_ice = dICE_vol_ice * ICE_rho_ice dICE_vol_sno = ICE_vol_sno_end - ICE_vol_sno_beg dICE_mas_sno = dICE_vol_sno * ICE_rho_sno dICE_vol_pnd = ICE_vol_pnd_end - ICE_vol_pnd_beg dICE_mas_pnd = dICE_vol_pnd * ICE_rho_pnd dICE_vol_fzl= ICE_vol_fzl_end - ICE_vol_fzl_beg dICE_mas_fzl = dICE_vol_fzl * ICE_rho_pnd if NEMO == 3.6 : dICE_mas_wat = dICE_mas_ice + dICE_mas_sno dSEA_mas_wat = dOCE_mas_wat + dICE_mas_ice + dICE_mas_sno if NEMO == 4.0 or NEMO == 4.2 : dICE_mas_wat = ICE_mas_wat_end - ICE_mas_wat_beg dSEA_mas_wat = dOCE_mas_wat + dICE_mas_wat echo ( f'ICE_vol_ice_beg = {ICE_vol_ice_beg:12.6e} m^3 | ICE_vol_ice_end = {ICE_vol_ice_end:12.6e} m^3' ) echo ( f'ICE_vol_sno_beg = {ICE_vol_sno_beg:12.6e} m^3 | ICE_vol_sno_end = {ICE_vol_sno_end:12.6e} m^3' ) echo ( f'ICE_vol_pnd_beg = {ICE_vol_pnd_beg:12.6e} m^3 | ICE_vol_pnd_end = {ICE_vol_pnd_end:12.6e} m^3' ) echo ( f'ICE_vol_fzl_beg = {ICE_vol_fzl_beg:12.6e} m^3 | ICE_vol_fzl_end = {ICE_vol_fzl_end:12.6e} m^3' ) echo ( f'dICE_vol_ice = {dICE_vol_ice:12.3e} m^3' ) echo ( f'dICE_vol_sno = {dICE_vol_sno:12.3e} m^3' ) echo ( f'dICE_vol_pnd = {dICE_vol_pnd:12.3e} m^3' ) echo ( f'dICE_mas_ice = {dICE_mas_ice:12.3e} m^3' ) echo ( f'dICE_mas_sno = {dICE_mas_sno:12.3e} m^3' ) echo ( f'dICE_mas_pnd = {dICE_mas_pnd:12.3e} m^3' ) echo ( f'dICE_mas_fzl = {dICE_mas_fzl:12.3e} m^3' ) echo ( f'dICE_mas_wat = {dICE_mas_wat:12.3e} m^3' ) SEA_mas_wat_beg = OCE_mas_wat_beg + ICE_mas_wat_beg SEA_mas_wat_end = OCE_mas_wat_end + ICE_mas_wat_end echo ( '\n------------------------------------------------------------') echo ( 'Variation du contenu en eau ocean + glace ' ) echo ( 'dMass (ocean) = {:12.6e} kg '.format(dSEA_mas_wat) ) echo ( 'dVol (ocean) = {:12.3e} Sv '.format(dSEA_mas_wat/dtime_sec*1E-6/OCE_rho_liq) ) echo ( 'dVol (ocean) = {:12.3e} m '.format(dSEA_mas_wat*1E-3/OCE_aire_tot) ) echo ( '\n------------------------------------------------------------------------------------' ) echo ( '-- ATM changes in stores ' ) #-- Change in precipitable water from the atmosphere daily and monthly files #-- Compute sum weighted by gridcell area (kg/m2) then convert to Sv # ATM vertical grid ATM_Ahyb = d_ATM_his['Ahyb'].squeeze() ATM_Bhyb = d_ATM_his['Bhyb'].squeeze() klevp1 = ATM_Ahyb.shape[0] # Surface pressure if ICO : DYN_ps_beg = d_DYN_beg['ps'] DYN_ps_end = d_DYN_end['ps'] if LMDZ : DYN_ps_beg = lmdz.geo2point ( d_DYN_beg['ps'].isel(rlonv=slice(0,-1)) ) DYN_ps_end = lmdz.geo2point ( d_DYN_end['ps'].isel(rlonv=slice(0,-1)) ) # 3D Pressure DYN_p_beg = ATM_Ahyb + ATM_Bhyb * DYN_ps_beg DYN_p_end = ATM_Ahyb + ATM_Bhyb * DYN_ps_end # Layer thickness DYN_sigma_beg = DYN_p_beg[0:-1]*0. DYN_sigma_end = DYN_p_end[0:-1]*0. for k in np.arange (klevp1-1) : DYN_sigma_beg[k,:] = (DYN_p_beg[k,:] - DYN_p_beg[k+1,:]) / Grav DYN_sigma_end[k,:] = (DYN_p_end[k,:] - DYN_p_end[k+1,:]) / Grav DYN_sigma_beg = DYN_sigma_beg.rename ( {'klevp1':'sigs'} ) DYN_sigma_end = DYN_sigma_end.rename ( {'klevp1':'sigs'} ) ##-- Vertical and horizontal integral, and sum of liquid, solid and vapor water phases if LMDZ : try : DYN_wat_beg = lmdz.geo3point ( (d_DYN_beg['H2Ov'] + d_DYN_beg['H2Ol'] + d_DYN_beg['H2Oi']).isel(rlonv=slice(0,-1) ) ) DYN_wat_end = lmdz.geo3point ( (d_DYN_end['H2Ov'] + d_DYN_end['H2Ol'] + d_DYN_end['H2Oi']).isel(rlonv=slice(0,-1) ) ) except : DYN_wat_beg = lmdz.geo3point ( (d_DYN_beg['H2O_g'] + d_DYN_beg['H2O_l'] + d_DYN_beg['H2O_s']).isel(rlonv=slice(0,-1) ) ) DYN_wat_end = lmdz.geo3point ( (d_DYN_end['H2O_g'] + d_DYN_end['H2O_l'] + d_DYN_end['H2O_s']).isel(rlonv=slice(0,-1) ) ) if ICO : try : DYN_wat_beg = (d_DYN_beg['H2O_g'] + d_DYN_beg['H2O_l'] + d_DYN_beg['H2O_s']).rename ( {'lev':'sigs'} ) DYN_wat_end = (d_DYN_end['H2O_g'] + d_DYN_end['H2O_l'] + d_DYN_end['H2O_s']).rename ( {'lev':'sigs'} ) except : DYN_wat_beg = (d_DYN_beg['q'].isel(nq=0) + d_DYN_beg['q'].isel(nq=1) + d_DYN_beg['q'].isel(nq=2) ).rename ( {'lev':'sigs'} ) DYN_wat_end = (d_DYN_end['q'].isel(nq=0) + d_DYN_end['q'].isel(nq=1) + d_DYN_end['q'].isel(nq=2) ).rename ( {'lev':'sigs'} ) DYN_mas_wat_beg = ATM_stock_int (DYN_sigma_beg * DYN_wat_beg) DYN_mas_wat_end = ATM_stock_int (DYN_sigma_end * DYN_wat_end) dDYN_mas_wat = DYN_mas_wat_end - DYN_mas_wat_beg echo ( '\nVariation du contenu en eau atmosphere (dynamique) ' ) echo ( 'DYN_mas_beg = {:12.6e} kg | DYN_mas_end = {:12.6e} kg'.format (DYN_mas_wat_beg, DYN_mas_wat_end) ) echo ( 'dMass (atm) = {:12.3e} kg '.format (dDYN_mas_wat) ) echo ( 'dMass (atm) = {:12.3e} Sv '.format (dDYN_mas_wat/dtime_sec*1.e-6/ATM_rho) ) echo ( 'dMass (atm) = {:12.3e} m '.format (dDYN_mas_wat/ATM_aire_sea_tot/ATM_rho) ) ATM_sno_beg = d_ATM_beg['SNOW01']*d_ATM_beg['FTER']+d_ATM_beg['SNOW02']*d_ATM_beg['FLIC']+d_ATM_beg['SNOW03']*d_ATM_beg['FOCE']+d_ATM_beg['SNOW04']*d_ATM_beg['FSIC'] ATM_sno_end = d_ATM_end['SNOW01']*d_ATM_end['FTER']+d_ATM_end['SNOW02']*d_ATM_end['FLIC']+d_ATM_end['SNOW03']*d_ATM_end['FOCE']+d_ATM_end['SNOW04']*d_ATM_end['FSIC'] ATM_qs_beg = d_ATM_beg['QS01']*d_ATM_beg['FTER']+d_ATM_beg['QS02']*d_ATM_beg['FLIC']+d_ATM_beg['QS03']*d_ATM_beg['FOCE']+d_ATM_beg['QS04']*d_ATM_beg['FSIC'] ATM_qs_end = d_ATM_end['QS01']*d_ATM_end['FTER']+d_ATM_end['QS02']*d_ATM_end['FLIC']+d_ATM_end['QS03']*d_ATM_end['FOCE']+d_ATM_end['QS04']*d_ATM_end['FSIC'] ATM_qsol_beg = d_ATM_beg['QSOL'] ATM_qsol_end = d_ATM_end['QSOL'] ATM_qs01_beg = d_ATM_beg['QS01'] * d_ATM_beg['FTER'] ATM_qs01_end = d_ATM_end['QS01'] * d_ATM_end['FTER'] ATM_qs02_beg = d_ATM_beg['QS02'] * d_ATM_beg['FLIC'] ATM_qs02_end = d_ATM_end['QS02'] * d_ATM_end['FLIC'] ATM_qs03_beg = d_ATM_beg['QS03'] * d_ATM_beg['FOCE'] ATM_qs03_end = d_ATM_end['QS03'] * d_ATM_end['FOCE'] ATM_qs04_beg = d_ATM_beg['QS04'] * d_ATM_beg['FSIC'] ATM_qs04_end = d_ATM_end['QS04'] * d_ATM_end['FSIC'] if ICO : ATM_sno_beg = ATM_sno_beg .rename ( {'points_physiques':'cell_mesh'} ) ATM_sno_end = ATM_sno_end .rename ( {'points_physiques':'cell_mesh'} ) ATM_qs_beg = ATM_qs_beg .rename ( {'points_physiques':'cell_mesh'} ) ATM_qs_end = ATM_qs_end .rename ( {'points_physiques':'cell_mesh'} ) ATM_qsol_beg = ATM_qsol_beg.rename ( {'points_physiques':'cell_mesh'} ) ATM_qsol_end = ATM_qsol_end.rename ( {'points_physiques':'cell_mesh'} ) ATM_qs01_beg = ATM_qs01_beg.rename ( {'points_physiques':'cell_mesh'} ) ATM_qs01_end = ATM_qs01_end.rename ( {'points_physiques':'cell_mesh'} ) ATM_qs02_beg = ATM_qs02_beg.rename ( {'points_physiques':'cell_mesh'} ) ATM_qs02_end = ATM_qs02_end.rename ( {'points_physiques':'cell_mesh'} ) ATM_qs03_beg = ATM_qs03_beg.rename ( {'points_physiques':'cell_mesh'} ) ATM_qs03_end = ATM_qs03_end.rename ( {'points_physiques':'cell_mesh'} ) ATM_qs04_beg = ATM_qs04_beg.rename ( {'points_physiques':'cell_mesh'} ) ATM_qs04_end = ATM_qs04_end.rename ( {'points_physiques':'cell_mesh'} ) echo ('Computing atmosphere integrals') ATM_mas_sno_beg = ATM_stock_int ( ATM_sno_beg ) ATM_mas_sno_end = ATM_stock_int ( ATM_sno_end ) ATM_mas_qs_beg = ATM_stock_int ( ATM_qs_beg ) ATM_mas_qs_end = ATM_stock_int ( ATM_qs_end ) ATM_mas_qsol_beg = ATM_stock_int ( ATM_qsol_beg ) ATM_mas_qsol_end = ATM_stock_int ( ATM_qsol_end ) ATM_mas_qs01_beg = ATM_stock_int ( ATM_qs01_beg ) ATM_mas_qs01_end = ATM_stock_int ( ATM_qs01_end ) ATM_mas_qs02_beg = ATM_stock_int ( ATM_qs02_beg ) ATM_mas_qs02_end = ATM_stock_int ( ATM_qs02_end ) ATM_mas_qs03_beg = ATM_stock_int ( ATM_qs03_beg ) ATM_mas_qs03_end = ATM_stock_int ( ATM_qs03_end ) ATM_mas_qs04_beg = ATM_stock_int ( ATM_qs04_beg ) ATM_mas_qs04_end = ATM_stock_int ( ATM_qs04_end ) dATM_mas_sno = ATM_mas_sno_end - ATM_mas_sno_beg dATM_mas_qs = ATM_mas_qs_end - ATM_mas_qs_beg dATM_mas_qsol = ATM_mas_qsol_end - ATM_mas_qsol_beg dATM_mas_qs01 = ATM_mas_qs01_end - ATM_mas_qs01_beg dATM_mas_qs02 = ATM_mas_qs02_end - ATM_mas_qs02_beg dATM_mas_qs03 = ATM_mas_qs03_end - ATM_mas_qs03_beg dATM_mas_qs04 = ATM_mas_qs04_end - ATM_mas_qs04_beg echo ( '\nVariation du contenu en neige atmosphere (calottes)' ) echo ( 'ATM_mas_sno_beg = {:12.6e} kg | ATM_mas_sno_end = {:12.6e} kg'.format (ATM_mas_sno_beg, ATM_mas_sno_end) ) echo ( 'dMass (neige atm) = {:12.3e} kg '.format (dATM_mas_sno ) ) echo ( 'dMass (neige atm) = {:12.3e} Sv '.format (dATM_mas_sno/dtime_sec*1e-6/ICE_rho_ice) ) echo ( 'dMass (neige atm) = {:12.3e} m '.format (dATM_mas_sno/ATM_aire_sea_tot/ATM_rho) ) echo ( '\nVariation du contenu humidite du sol' ) echo ( 'ATM_mas_qs_beg = {:12.6e} kg | ATM_mas_qs_end = {:12.6e} kg'.format (ATM_mas_qs_beg, ATM_mas_qs_end) ) echo ( 'dMass (neige atm) = {:12.3e} kg '.format (dATM_mas_qs ) ) echo ( 'dMass (neige atm) = {:12.3e} Sv '.format (dATM_mas_qs/dtime_sec*1e-6/ATM_rho) ) echo ( 'dMass (neige atm) = {:12.3e} m '.format (dATM_mas_qs/ATM_aire_sea_tot/ATM_rho) ) echo ( '\nVariation du contenu en eau+neige atmosphere ' ) echo ( 'dMass (eau + neige atm) = {:12.3e} kg '.format ( dDYN_mas_wat + dATM_mas_sno) ) echo ( 'dMass (eau + neige atm) = {:12.3e} Sv '.format ( (dDYN_mas_wat + dATM_mas_sno)/dtime_sec*1E-6/ATM_rho) ) echo ( 'dMass (eau + neige atm) = {:12.3e} m '.format ( (dDYN_mas_wat + dATM_mas_sno)/ATM_aire_sea_tot/ATM_rho) ) echo ( '\n------------------------------------------------------------------------------------' ) echo ( '-- SRF changes ' ) if Routing == 'SIMPLE' : RUN_mas_wat_beg = ONE_stock_int ( d_RUN_beg ['fast_reservoir'] + d_RUN_beg ['slow_reservoir'] + d_RUN_beg ['stream_reservoir']) RUN_mas_wat_end = ONE_stock_int ( d_RUN_end ['fast_reservoir'] + d_RUN_end ['slow_reservoir'] + d_RUN_end ['stream_reservoir']) if Routing == 'SECHIBA' : RUN_mas_wat_beg = ONE_stock_int ( d_SRF_beg['fastres'] + d_SRF_beg['slowres'] + d_SRF_beg['streamres'] \ + d_SRF_beg['floodres'] + d_SRF_beg['lakeres'] + d_SRF_beg['pondres'] ) RUN_mas_wat_end = ONE_stock_int ( d_SRF_end['fastres'] + d_SRF_end['slowres'] + d_SRF_end['streamres'] \ + d_SRF_end['floodres'] + d_SRF_end['lakeres'] + d_SRF_end['pondres'] ) dRUN_mas_wat = RUN_mas_wat_end - RUN_mas_wat_beg echo ( '\nWater content in routing ' ) echo ( 'RUN_mas_wat_beg = {:12.6e} kg | RUN_mas_wat_end = {:12.6e} kg '.format (RUN_mas_wat_end, RUN_mas_wat_end) ) echo ( 'dMass (routing) = {:12.3e} kg '.format(dRUN_mas_wat) ) echo ( 'dMass (routing) = {:12.3e} Sv '.format(dRUN_mas_wat/dtime_sec*1E-9) ) echo ( 'dMass (routing) = {:12.3e} m '.format(dRUN_mas_wat/OCE_aire_tot*1E-3) ) print ('Reading SRF restart') tot_watveg_beg = d_SRF_beg['tot_watveg_beg'] ; tot_watveg_beg = tot_watveg_beg .where (tot_watveg_beg < 1E10, 0.) tot_watsoil_beg = d_SRF_beg['tot_watsoil_beg'] ; tot_watsoil_beg = tot_watsoil_beg.where (tot_watsoil_beg< 1E10, 0.) snow_beg = d_SRF_beg['snow_beg'] ; snow_beg = snow_beg .where (snow_beg < 1E10, 0.) tot_watveg_end = d_SRF_end['tot_watveg_beg'] ; tot_watveg_end = tot_watveg_end .where (tot_watveg_end < 1E10, 0.) tot_watsoil_end = d_SRF_end['tot_watsoil_beg'] ; tot_watsoil_end = tot_watsoil_end.where (tot_watsoil_end< 1E10, 0.) snow_end = d_SRF_end['snow_beg'] ; snow_end = snow_end .where (snow_end < 1E10, 0.) if LMDZ : tot_watveg_beg = lmdz.geo2point (tot_watveg_beg) tot_watsoil_beg = lmdz.geo2point (tot_watsoil_beg) snow_beg = lmdz.geo2point (snow_beg) tot_watveg_end = lmdz.geo2point (tot_watveg_end) tot_watsoil_end = lmdz.geo2point (tot_watsoil_end) snow_end = lmdz.geo2point (snow_end) SRF_wat_beg = tot_watveg_beg + tot_watsoil_beg + snow_beg SRF_wat_end = tot_watveg_end + tot_watsoil_end + snow_end #SRF_mas_wat_beg = d_SRF_beg['tot_watveg_beg']+d_SRF_beg['tot_watsoil_beg'] + d_SRF_beg['snow_beg'] #SRF_mas_wat_end = d_SRF_end['tot_watveg_beg']+d_SRF_end['tot_watsoil_beg'] + d_SRF_end['snow_beg'] #if LMDZ : # tot_watveg_beg = tot_watveg_beg .rename ( {'y':'points_phyiques'} ) # tot_watsoil_beg = tot_watsoil_beg.rename ( {'y':'points_phyiques'} ) # snow_beg = snow_beg .rename ( {'y':'points_phyiques'} ) # tot_watveg_end = tot_watveg_end .rename ( {'y':'points_phyiques'} ) # tot_watsoil_end = tot_watsoil_end.rename ( {'y':'points_phyiques'} ) # snow_end = snow_end .rename ( {'y':'points_phyiques'} ) # SRF_wat_beg = SRF_wat_beg .rename ( {'y':'points_phyiques'} ) # SRF_wat_end = SRF_wat_end .rename ( {'y':'points_phyiques'} ) if ICO : tot_watveg_beg = tot_watveg_beg .rename ( {'y':'cell_mesh'} ) tot_watsoil_beg = tot_watsoil_beg.rename ( {'y':'cell_mesh'} ) snow_beg = snow_beg .rename ( {'y':'cell_mesh'} ) tot_watveg_end = tot_watveg_end .rename ( {'y':'cell_mesh'} ) tot_watsoil_end = tot_watsoil_end.rename ( {'y':'cell_mesh'} ) snow_end = snow_end .rename ( {'y':'cell_mesh'} ) SRF_wat_beg = SRF_wat_beg .rename ( {'y':'cell_mesh'} ) SRF_wat_end = SRF_wat_end .rename ( {'y':'cell_mesh'} ) print ('Computing integrals') print ( ' 1/6', end='' ) ; sys.stdout.flush () SRF_mas_watveg_beg = ATM_stock_int ( tot_watveg_beg ) print ( ' 2/6', end='' ) ; sys.stdout.flush () SRF_mas_watsoil_beg = ATM_stock_int ( tot_watsoil_beg ) print ( ' 3/6', end='' ) ; sys.stdout.flush () SRF_mas_snow_beg = ATM_stock_int ( snow_beg ) print ( ' 4/6', end='' ) ; sys.stdout.flush () SRF_mas_watveg_end = ATM_stock_int ( tot_watveg_end ) print ( ' 5/6', end='' ) ; sys.stdout.flush () SRF_mas_watsoil_end = ATM_stock_int ( tot_watsoil_end ) print ( ' 6/6', end='' ) ; sys.stdout.flush () SRF_mas_snow_end = ATM_stock_int ( snow_end ) print (' -- ') ; sys.stdout.flush () dSRF_mas_watveg = SRF_mas_watveg_end - SRF_mas_watveg_beg dSRF_mas_watsoil = SRF_mas_watsoil_end - SRF_mas_watsoil_beg dSRF_mas_snow = SRF_mas_snow_end - SRF_mas_snow_beg echo ('\nLes differents reservoirs') echo ( f'SRF_mas_watveg_beg = {SRF_mas_watveg_beg :12.6e} kg | SRF_mas_watveg_end = {SRF_mas_watveg_end :12.6e} kg ' ) echo ( f'SRF_mas_watsoil_beg = {SRF_mas_watsoil_beg:12.6e} kg | SRF_mas_watsoil_end = {SRF_mas_watsoil_end:12.6e} kg ' ) echo ( f'SRF_mas_snow_beg = {SRF_mas_snow_beg :12.6e} kg | SRF_mas_snow_end = {SRF_mas_snow_end :12.6e} kg ' ) echo ( 'dMass (watveg) = {:12.3e} kg | {:12.2e} Sv | {:12.2e} m '.format (dSRF_mas_watveg , dSRF_mas_watveg /dtime_sec*1E-9, dSRF_mas_watveg /OCE_aire_tot*1E-3) ) echo ( 'dMass (watsoil) = {:12.3e} kg | {:12.2e} Sv | {:12.2e} m '.format (dSRF_mas_watsoil, dSRF_mas_watsoil/dtime_sec*1E-9, dSRF_mas_watsoil/OCE_aire_tot*1E-3) ) echo ( 'dMass (sno) = {:12.3e} kg | {:12.2e} Sv | {:12.2e} m '.format (dSRF_mas_snow , dSRF_mas_snow /dtime_sec*1E-9, dSRF_mas_snow /OCE_aire_tot*1E-3 ) ) SRF_mas_wat_beg = SRF_mas_watveg_beg + SRF_mas_watsoil_beg + SRF_mas_snow_beg SRF_mas_wat_end = SRF_mas_watveg_end + SRF_mas_watsoil_end + SRF_mas_snow_end dSRF_mas_wat = SRF_mas_wat_end - SRF_mas_wat_beg echo ( '\nWater content in surface ' ) echo ( 'SRF_mas_wat_beg = {:12.6e} kg | SRF_mas_wat_end = {:12.6e} kg '.format (SRF_mas_wat_beg, SRF_mas_wat_end) ) echo ( 'dMass (water srf) = {:12.3e} kg '.format (dSRF_mas_wat) ) echo ( 'dMass (water srf) = {:12.3e} Sv '.format (dSRF_mas_wat/dtime_sec*1E-6/ATM_rho) ) echo ( 'dMass (water srf) = {:12.3e} m '.format (dSRF_mas_wat/ATM_aire_sea_tot/ATM_rho) ) echo ( '\nWater content in ATM + SRF + RUN ' ) echo ( 'mas_wat_beg = {:12.6e} kg | mas_wat_end = {:12.6e} kg '. format (DYN_mas_wat_beg + ATM_mas_sno_beg + RUN_mas_wat_beg + SRF_mas_wat_beg, DYN_mas_wat_end + ATM_mas_sno_end + RUN_mas_wat_end + SRF_mas_wat_end) ) echo ( 'dMass (water atm+srf+run) = {:12.6e} kg '.format ( dDYN_mas_wat + dATM_mas_sno + dRUN_mas_wat + dSRF_mas_wat) ) echo ( 'dMass (water atm+srf+run) = {:12.3e} Sv '.format ((dDYN_mas_wat + dATM_mas_sno + dRUN_mas_wat + dSRF_mas_wat)/dtime_sec*1E-6/ATM_rho) ) echo ( 'dMass (water atm+srf+run) = {:12.3e} m '.format ((dDYN_mas_wat + dATM_mas_sno + dRUN_mas_wat + dSRF_mas_wat)/ATM_aire_sea_tot/ATM_rho) ) echo ( '\n------------------------------------------------------------------------------------' ) echo ( '-- Change in all components' ) echo ( 'mas_wat_beg = {:12.6e} kg | mas_wat_end = {:12.6e} kg'. format (SEA_mas_wat_beg + DYN_mas_wat_beg + ATM_mas_sno_beg + RUN_mas_wat_beg + SRF_mas_wat_beg, SEA_mas_wat_end + DYN_mas_wat_end + ATM_mas_sno_end + RUN_mas_wat_end + SRF_mas_wat_end) ) echo ( 'dMass (water CPL) = {:12.3e} kg '.format ( dSEA_mas_wat + dDYN_mas_wat + dATM_mas_sno + dRUN_mas_wat + dSRF_mas_wat) ) echo ( 'dMass (water CPL) = {:12.3e} Sv '.format ((dSEA_mas_wat + dDYN_mas_wat + dATM_mas_sno + dRUN_mas_wat + dSRF_mas_wat)/dtime_sec*1E-9) ) echo ( 'dMass (water CPL) = {:12.3e} m '.format ((dSEA_mas_wat + dDYN_mas_wat + dATM_mas_sno + dRUN_mas_wat + dSRF_mas_wat)/OCE_aire_tot*1E-3) )