Changeset 4186 for TOOLS/MOSAIX/cotes_etal.py

Timestamp:

12/12/18 11:26:20 (5 years ago)

Author:

omamce

Message:

O.M. :

Runoff weight for both ICO and LMDZ
Correct corc grid

File:

• TOOLS/MOSAIX/cotes_etal.py (modified) (12 diffs)

TOOLS/MOSAIX/cotes_etal.py

@@ -37 +37 @@
 epsfrac = np.dtype('float64').type(1.0E-10)
 pi      = np.pi
-rad     = pi/np.dtype('float64').type(180.0)
+rad     = pi/np.dtype('float64').type(180.0)  # Conversion from degrees to radian
 ra      = np.dtype('float64').type(6371229.0) # Earth radius
 
@@ -56 +56 @@
 # Adding arguments
 parser.add_argument ('--oce'          , help='oce model name', type=str, default='eORCA1.2', choices=['ORCA2.3', 'eORCA1.2', 'eORCA025'] )
-parser.add_argument ('--atm'          , help='atm model name (LMD*)', type=str, default='LMD9695'    )
+parser.add_argument ('--atm'          , help='atm model name', type=str, default='LMD9695'    )
 parser.add_argument ('--atmCoastWidth', help='width of the coastal band in atmosphere (in grid points)', type=int, default=1 )
 parser.add_argument ('--oceCoastWidth', help='width of the coastal band in ocean (in grid points)'     , type=int, default=2 )
-parser.add_argument ('--searchRadius' , help='max distance to connect a land point to an ocean point (in km)', type=float, default=600000.0)
+parser.add_argument ('--atmQuantity'  , help='Quantity if atm provides quantities (m/s), Surfacic if atm provided flux (m/s/m2)'  , type=str, default='Quantity', choices=['Quantity', 'Surfacic'] )
+parser.add_argument ('--oceQuantity'  , help='Quantity if oce requires quantities (ks/s), Surfacic if oce requires flux (m/s/m2)' , type=str, default='Surfacic', choices=['Quantity', 'Surfacic'] )
+parser.add_argument ('--searchRadius' , help='max distance to connect a land point to an ocean point (in km)', type=float, default=600.0 )
 parser.add_argument ('--grids' , help='grids file name', default='grids.nc' )
 parser.add_argument ('--areas' , help='masks file name', default='areas.nc' )
@@ -93 +95 @@
 if myargs.fmt == 'netcdf4_classic' : FmtNetcdf = 'NETCDF4_CLASSIC'
 
+#
+if atm_Name.find('LMD') >= 0 : atm_n = 'lmd' ; atmDomainType = 'rectilinear'
+if atm_Name.find('ICO') >= 0 : atm_n = 'ico' ; atmDomainType = 'unstructured'
+
+print ('atmQuantity : ' + str (myargs.atmQuantity) )
+print ('oceQuantity : ' + str (myargs.oceQuantity) )
+    
 ### Read coordinates of all models
 ###
@@ -104 +113 @@
 o2aFrac = np.where ( np.abs(o2aFrac) < 1E10, o2aFrac, 0.0)
 
-atm_grid_center_lat = gridFile['tlmd.lat'][:]
-atm_grid_center_lon = gridFile['tlmd.lon'][:]
-atm_grid_corner_lat = gridFile['tlmd.cla'][:]
-atm_grid_corner_lon = gridFile['tlmd.clo'][:]
-
-atm_grid_area       = areaFile['tlmd.srf'][:]
-atm_grid_imask      = 1-maskFile['tlmd.msk'][:].squeeze()
-atm_grid_dims       = atm_grid_area.shape
-(atm_nvertex, atm_jpj, atm_jpi) = atm_grid_corner_lat.shape
+(atm_nvertex, atm_jpj, atm_jpi) = gridFile['t'+atm_n+'.clo'][:].shape
+atm_grid_size = atm_jpj*atm_jpi
+atm_grid_rank = len(gridFile['t'+atm_n+'.lat'][:].shape)
+
+atm_grid_center_lat = gridFile['t'+atm_n+'.lat'][:].ravel()
+atm_grid_center_lon = gridFile['t'+atm_n+'.lon'][:].ravel()
+atm_grid_corner_lat = np.reshape ( gridFile['t'+atm_n+'.cla'][:], (atm_nvertex, atm_grid_size) )
+atm_grid_corner_lon = np.reshape ( gridFile['t'+atm_n+'.clo'][:], (atm_nvertex, atm_grid_size) )
+atm_grid_area       = areaFile['t'+atm_n+'.srf'][:].ravel()
+atm_grid_imask      = 1-maskFile['t'+atm_n+'.msk'][:].squeeze().ravel()
+atm_grid_dims       = gridFile['t'+atm_n+'.lat'][:].shape
+
 atm_perio = 0
-atm_grid_pmask = nemo.lbc_mask (atm_grid_imask, 'T', atm_perio)
-atm_address = np.reshape ( np.arange(atm_jpj*atm_jpi), (atm_jpj, atm_jpi) )
-atm_grid_size = atm_jpj*atm_jpi
-
-oce_grid_center_lat = gridFile['torc.lat'][:]
-oce_grid_center_lon = gridFile['torc.lon'][:]
-oce_grid_corner_lat = gridFile['torc.cla'][:]
-oce_grid_corner_lon = gridFile['torc.clo'][:]
-oce_grid_area       = areaFile['torc.srf'][:]
-oce_grid_imask      = 1-maskFile['torc.msk'][:]
-oce_grid_dims       = oce_grid_area.shape
-(oce_nvertex, oce_jpj, oce_jpi) = oce_grid_corner_lat.shape ; jpon=oce_jpj*oce_jpj
+atm_grid_pmask = atm_grid_imask
+atm_address = np.arange(atm_jpj*atm_jpi)
+
+
+(oce_nvertex, oce_jpj, oce_jpi) = gridFile['torc.cla'][:].shape ; jpon=oce_jpj*oce_jpj
+oce_grid_size = oce_jpj*oce_jpi
+oce_grid_rank = len(gridFile['torc.lat'][:].shape)
+
+oce_grid_center_lat = gridFile['torc.lat'][:].ravel()
+oce_grid_center_lon = gridFile['torc.lon'][:].ravel()
+oce_grid_corner_lat = np.reshape( gridFile['torc.cla'][:], (oce_nvertex, oce_grid_size) )
+oce_grid_corner_lon = np.reshape( gridFile['torc.clo'][:], (oce_nvertex, oce_grid_size) )
+oce_grid_area       = areaFile['torc.srf'][:].ravel()
+oce_grid_imask      = 1-maskFile['torc.msk'][:].ravel()
+oce_grid_dims       = gridFile['torc.lat'][:].shape
 if oce_jpi ==  182 : oce_perio = 4 # ORCA 2
 if oce_jpi ==  362 : oce_perio = 6 # ORCA 1
 if oce_jpi == 1442 : oce_perio = 6 # ORCA 025
-oce_grid_pmask = nemo.lbc_mask (oce_grid_imask, 'T', oce_perio)
-oce_address = np.reshape ( np.arange(oce_jpj*oce_jpi), (oce_jpj, oce_jpi) )
-oce_grid_size = oce_jpj*oce_jpi
+oce_grid_pmask = nemo.lbc_mask (np.reshape(oce_grid_imask, (oce_jpj,oce_jpi)), 'T', oce_perio).ravel()
+oce_address = np.arange(oce_jpj*oce_jpi)
 
 ## Fill closed sea with image processing library
-oce_grid_imask = nemo.lbc_mask ( 1-ndimage.binary_fill_holes (1-nemo.lbc(oce_grid_imask, nperio=oce_perio, cd_type='T')), nperio=oce_perio, cd_type='T' )
-
+oce_grid_imask2D = np.reshape(oce_grid_pmask,(oce_jpj,oce_jpi))
+oce_grid_imask2D = nemo.lbc_mask ( 1-ndimage.binary_fill_holes (1-nemo.lbc(oce_grid_imask2D, nperio=oce_perio, cd_type='T')), nperio=oce_perio, cd_type='T' )
+oce_grid_imask = oce_grid_imask2D.ravel()
 ## 
 print ("Determination d'une bande cotiere ocean")
 
-oceLand  = np.where (oce_grid_pmask[:] < 0.5, True, False)
-oceOcean = np.where (oce_grid_pmask[:] > 0.5, True, False)
+oceLand2D  = np.reshape ( np.where (oce_grid_pmask[:] < 0.5, True, False), (oce_jpj, oce_jpi) )
+oceOcean2D = np.reshape ( np.where (oce_grid_pmask[:] > 0.5, True, False), (oce_jpj, oce_jpi) )
 
 NNocean = 1+2*oceCoastWidth
-oceOceanFiltered = ndimage.uniform_filter(oceOcean.astype(float), size=NNocean)
-oceCoast = np.where (oceOceanFiltered<(1.0-0.5/(NNocean**2)),True,False) & oceOcean
-oceCoast = nemo.lbc_mask (oceCoast, oce_perio, 'T')
+oceOceanFiltered2D = ndimage.uniform_filter(oceOcean2D.astype(float), size=NNocean)
+oceCoast2D = np.where (oceOceanFiltered2D<(1.0-0.5/(NNocean**2)),True,False) & oceOcean2D
+oceCoast2D = nemo.lbc_mask (np.reshape(oceCoast2D,(oce_jpj,oce_jpi)), oce_perio, 'T').ravel()
+
+oceOceanFiltered = oceOceanFiltered2D.ravel()
+oceLand  = oceLand2D.ravel()
+oceOcean = oceOcean2D.ravel()
+oceCoast = oceCoast2D.ravel()
 
 print ('Number of points in oceLand  : ' + str(oceLand.sum()) )
@@ -166 +186 @@
 atmOceanFrac = np.where (o2aFrac[:] > epsfrac       , True, False)
 
-NNatm = 1+2*atmCoastWidth
-atmLandFiltered = ndimage.uniform_filter(atmLand.astype(float), size=NNatm)
-atmCoast = np.where (atmLandFiltered<(1.0-0.5/(NNatm**2)),True,False) & atmLandFrac
-atmCoast = nemo.lbc_mask (atmCoast, 1, 'T')
-
-print ('Number of points in atmLand  : ' + str(atmLand.sum()) )
-print ('Number of points in atmOcean : ' + str(atmOcean.sum()) )
-print ('Number of points in atmCoast : ' + str(atmCoast.sum()) )
-
+## La suite marche avec LMDZ seulement !!
+if atmDomainType == 'rectilinear' :
+    NNatm = 1+2*atmCoastWidth
+    atmLand2D = np.reshape ( atmLand, ( atm_jpj, atm_jpi) )
+
+    atmLandFiltered2D = ndimage.uniform_filter(atmLand2D.astype(float), size=NNatm)
+    atmCoast2D = np.where (atmLandFiltered2D<(1.0-0.5/(NNatm**2)),True,False) & atmLandFrac
+    
+    atmLandFiltered = atmLandFiltered2D.ravel()
+    atmCoast = atmCoast2D.ravel()
+
+    print ('Number of points in atmLand  : ' + str(atmLand.sum())  )
+    print ('Number of points in atmOcean : ' + str(atmOcean.sum()) )
+    print ('Number of points in atmCoast : ' + str(atmCoast.sum()) )
+
+else :
+    atmCoast = atmFrac
+    
+    
 # Arrays with coastal points only
 atmCoast_grid_center_lon = atm_grid_center_lon[atmCoast]
@@ -183 +213 @@
 atmCoast_address         = atm_address        [atmCoast]
 
+# Initialisations before the loop
 remap_matrix = np.empty ( shape=(0), dtype=np.float64 )
 atm_address  = np.empty ( shape=(0), dtype=np.int32   )
@@ -191 +222 @@
     z_dist = geodist ( atmCoast_grid_center_lon[ja], atmCoast_grid_center_lat[ja], oceCoast_grid_center_lon, oceCoast_grid_center_lat)
     z_mask = np.where ( z_dist*ra < searchRadius, True, False)
-    num_links = z_mask.sum()
+    num_links = np.int(z_mask.sum())
     if num_links == 0 : continue
     z_area = oceCoast_grid_area[z_mask].sum()
-    poids = 1.0 / z_area
-    #print ( num_links, z_mask.sum(), z_area )
+    poids = np.ones ((num_links),dtype=np.float64) / z_area
+    if myargs.atmQuantity == 'Surfacic' : poids = poids * atm_grid_area[ja]
+    if myargs.oceQuantity == 'Quantity' : poids = poids * oceCoast_grid_area[z_mask]
+    if  ja % (len(atmCoast_grid_pmask)//50) == 0 : # Control print
+        print ( 'ja:{:8d}, num_links:{:8d},  z_area:{:8.4e},  atm area:{:8.4e},  weights sum:{:8.4e}  '.format(ja, num_links, z_area, atm_grid_area[ja], poids.sum() ) )
     #
-    matrix_local     = np.ones ((num_links),dtype=np.float64) * poids
-    # address on source grid : all links points to the same LMDZ point.
+    matrix_local = poids
     atm_address_local = np.ones(num_links, dtype=np.int32 ) * atmCoast_address[ja]
-    # address on destination grid
+    # Address on destination grid
     oce_address_local = oceCoast_address[z_mask]
     # Append to global tabs
@@ -252 +285 @@
 f_runoff.SVN_HeadURL     = "$HeadURL$"
 
-d_num_links        = f_runoff.createDimension ('num_links'       , num_links )
-d_num_wgts         = f_runoff.createDimension ('num_wgts'        ,         1 )
+d_num_links = f_runoff.createDimension ('num_links'       , num_links )
+d_num_wgts  = f_runoff.createDimension ('num_wgts'        ,         1 )
 
 d_atm_grid_size    = f_runoff.createDimension ('src_grid_size'   , atm_grid_size )
 d_atm_grid_corners = f_runoff.createDimension ('src_grid_corners', atm_grid_corner_lon.shape[0]  )
-d_atm_grid_rank    = f_runoff.createDimension ('src_grid_rank'   ,        2  )
+d_atm_grid_rank    = f_runoff.createDimension ('src_grid_rank'   , atm_grid_rank  )
 
 d_oce_grid_size    = f_runoff.createDimension ('dst_grid_size'   , oce_grid_size )
 d_oce_grid_corners = f_runoff.createDimension ('dst_grid_corners', oce_grid_corner_lon.shape[0] )
-d_oce_grid_rank    = f_runoff.createDimension ('dst_grid_rank'   ,        2  )
+d_oce_grid_rank    = f_runoff.createDimension ('dst_grid_rank'   , oce_grid_rank  )
 
 v_remap_matrix = f_runoff.createVariable ( 'remap_matrix', 'f8', ('num_links', 'num_wgts') )
@@ -289 +322 @@
 
 v_atm_grid_dims      [:] = atm_grid_dims
-v_atm_grid_center_lon[:] = atm_grid_center_lon[:].ravel()
-v_atm_grid_center_lat[:] = atm_grid_center_lat[:].ravel()
-v_atm_grid_corner_lon[:] = atm_grid_corner_lon.reshape( (atm_jpi*atm_jpj, d_atm_grid_corners.__len__()) )
-v_atm_grid_corner_lat[:] = atm_grid_corner_lat.reshape( (atm_jpi*atm_jpj, d_atm_grid_corners.__len__()) )
-v_atm_grid_area      [:] = atm_grid_area[:].ravel()
-v_atm_grid_imask     [:] = atm_grid_imask[:].ravel()
-v_atm_grid_pmask     [:] = atm_grid_pmask[:].ravel()
+v_atm_grid_center_lon[:] = atm_grid_center_lon[:]
+v_atm_grid_center_lat[:] = atm_grid_center_lat[:]
+v_atm_grid_corner_lon[:] = atm_grid_corner_lon
+v_atm_grid_corner_lat[:] = atm_grid_corner_lat
+v_atm_grid_area      [:] = atm_grid_area[:]
+v_atm_grid_imask     [:] = atm_grid_imask[:]
+v_atm_grid_pmask     [:] = atm_grid_pmask[:]
 
 # --
@@ -316 +349 @@
 
 v_oce_grid_dims      [:] = oce_grid_dims
-v_oce_grid_center_lon[:] = oce_grid_center_lon[:].ravel()
-v_oce_grid_center_lat[:] = oce_grid_center_lat[:].ravel()
-v_oce_grid_corner_lon[:] = oce_grid_corner_lon.reshape( (oce_jpi*oce_jpj, d_oce_grid_corners.__len__()) )
-v_oce_grid_corner_lat[:] = oce_grid_corner_lon.reshape( (oce_jpi*oce_jpj, d_oce_grid_corners.__len__()) )
-v_oce_grid_area      [:] = oce_grid_area[:].ravel()
-v_oce_grid_imask     [:] = oce_grid_imask[:].ravel()
-v_oce_grid_pmask     [:] = oce_grid_pmask[:].ravel()
+v_oce_grid_center_lon[:] = oce_grid_center_lon[:]
+v_oce_grid_center_lat[:] = oce_grid_center_lat[:]
+v_oce_grid_corner_lon[:] = oce_grid_corner_lon
+v_oce_grid_corner_lat[:] = oce_grid_corner_lon
+v_oce_grid_area      [:] = oce_grid_area[:]
+v_oce_grid_imask     [:] = oce_grid_imask[:]
+v_oce_grid_pmask     [:] = oce_grid_pmask[:]
 
 v_atm_lon_addressed   = f_runoff.createVariable ( 'src_lon_addressed'  , 'f8', ('num_links',) )
@@ -338 +371 @@
 v_atm_lon_addressed.long_name="Longitude" ; v_atm_lon_addressed.standard_name="longitude" ; v_atm_lon_addressed.units="degrees_east"
 v_atm_lat_addressed.long_name="Latitude"  ; v_atm_lat_addressed.standard_name="latitude"  ; v_atm_lat_addressed.units="degrees_north"
-v_atm_lon_addressed  [:] = atm_grid_center_lon.ravel()[atm_address].ravel()
-v_atm_lat_addressed  [:] = atm_grid_center_lat.ravel()[atm_address].ravel()
-v_atm_area_addressed [:] = atm_grid_area.ravel()[atm_address].ravel()
-v_atm_imask_addressed[:] = 1-atm_grid_imask.ravel()[atm_address].ravel()
-v_atm_pmask_addressed[:] = 1-atm_grid_pmask.ravel()[atm_address].ravel()
+v_atm_lon_addressed  [:] = atm_grid_center_lon[atm_address]
+v_atm_lat_addressed  [:] = atm_grid_center_lat[atm_address]
+v_atm_area_addressed [:] = atm_grid_area[atm_address]
+v_atm_imask_addressed[:] = 1-atm_grid_imask[atm_address]
+v_atm_pmask_addressed[:] = 1-atm_grid_pmask[atm_address]
 
 v_oce_lon_addressed.long_name="Longitude" ; v_oce_lon_addressed.standard_name="longitude" ; v_oce_lon_addressed.units="degrees_east"
 v_oce_lat_addressed.long_name="Latitude"  ; v_oce_lat_addressed.standard_name="latitude"  ; v_oce_lat_addressed.units="degrees_north"
-v_oce_lon_addressed  [:] = oce_grid_center_lon.ravel()[oce_address].ravel()
-v_oce_lat_addressed  [:] = oce_grid_center_lat.ravel()[oce_address].ravel()
-v_oce_area_addressed [:] = oce_grid_area.ravel()[oce_address].ravel()
-v_oce_imask_addressed[:] = 1-oce_grid_imask.ravel()[oce_address].ravel()
-v_oce_pmask_addressed[:] = 1-oce_grid_pmask.ravel()[oce_address].ravel()
-
-v_atmLand         = f_runoff.createVariable ( 'atmLand'        , 'i4', ('src_grid_size',) )
-v_atmLandFiltered = f_runoff.createVariable ( 'atmLandFiltered', 'f4', ('src_grid_size',) )
-v_atmLandFrac     = f_runoff.createVariable ( 'atmLandFrac'    , 'i4', ('src_grid_size',) )
-v_atmFrac         = f_runoff.createVariable ( 'atmFrac'        , 'i4', ('src_grid_size',) )
-v_atmOcean        = f_runoff.createVariable ( 'atmOcean'       , 'i4', ('src_grid_size',) )
-v_atmOceanFrac    = f_runoff.createVariable ( 'atmOceanFrac'   , 'i4', ('src_grid_size',) )
-v_atmCoast        = f_runoff.createVariable ( 'atmCoast'       , 'i4', ('src_grid_size',) ) 
-
-v_atmLand[:]         = atmLand.ravel()
-v_atmLandFrac[:]     = atmLandFrac.ravel()
-v_atmLandFiltered[:] = atmLandFiltered.ravel()
-v_atmFrac[:]         = atmFrac.ravel()
-v_atmOcean[:]        = atmOcean.ravel()
-v_atmOceanFrac[:]    = atmOceanFrac.ravel()
-v_atmCoast[:]        = atmCoast.ravel()
+v_oce_lon_addressed  [:] = oce_grid_center_lon[oce_address]
+v_oce_lat_addressed  [:] = oce_grid_center_lat[oce_address]#.ravel()
+v_oce_area_addressed [:] = oce_grid_area[oce_address]
+v_oce_imask_addressed[:] = 1-oce_grid_imask[oce_address]
+v_oce_pmask_addressed[:] = 1-oce_grid_pmask[oce_address]
+
+if atmDomainType == 'rectilinear' :
+    v_atmLand         = f_runoff.createVariable ( 'atmLand'        , 'i4', ('src_grid_size',) )
+    v_atmLandFiltered = f_runoff.createVariable ( 'atmLandFiltered', 'f4', ('src_grid_size',) )
+    v_atmLandFrac     = f_runoff.createVariable ( 'atmLandFrac'    , 'i4', ('src_grid_size',) )
+    v_atmFrac         = f_runoff.createVariable ( 'atmFrac'        , 'i4', ('src_grid_size',) )
+    v_atmOcean        = f_runoff.createVariable ( 'atmOcean'       , 'i4', ('src_grid_size',) )
+    v_atmOceanFrac    = f_runoff.createVariable ( 'atmOceanFrac'   , 'i4', ('src_grid_size',) )
+    
+    v_atmLand[:]         = atmLand
+    v_atmLandFrac[:]     = atmLandFrac
+    v_atmLandFiltered[:] = atmLandFiltered
+    v_atmFrac[:]         = atmFrac
+    v_atmOcean[:]        = atmOcean
+    v_atmOceanFrac[:]    = atmOceanFrac
+
+v_atmCoast         = f_runoff.createVariable ( 'atmCoast'       , 'i4', ('src_grid_size',) ) 
+v_atmCoast[:]      = atmCoast
 
 v_oceLand          = f_runoff.createVariable ( 'oceLand'         , 'i4', ('dst_grid_size',) )
@@ -373 +408 @@
 v_oceCoast         = f_runoff.createVariable ( 'oceCoast'        , 'i4', ('dst_grid_size',) )
 
-v_oceLand[:]      = oceLand.ravel()
-v_oceOcean[:]     = oceOcean.ravel()
-v_oceOceanFiltered[:]     = oceOceanFiltered.ravel()
-v_oceCoast[:]     = oceCoast.ravel()
+v_oceLand[:]      = oceLand
+v_oceOcean[:]     = oceOcean
+v_oceOceanFiltered[:]     = oceOceanFiltered
+v_oceCoast[:]     = oceCoast
 
 f_runoff.sync ()