SCALE-Analysis
Loading...
Searching...
No Matches
Namespaces | Variables
mpi_xarray_coarsened_xy.py File Reference

Namespaces

namespace  mpi_xarray_coarsened_xy
 MPI 並列を用いた水平粗視化・描画
 

Variables

str dir1 = "./sampledata/scale-5.4.5/scale-rm/test/tutorial/real/experiment/run/"
 
int PRC_NUM_X = 2
 
int PRC_NUM_Y = 2
 
str ftype = "history"
 
str domainlabel = "_d01"
 
str timelabel = ""
 
str varname1 = "T2"
 Value (e.g., PREC) 2D (spatial) + time.
 
str varunit1 = "(K)"
 
int varfact1 = 1
 
 varlevels1 = np.linspace(265,305,41)
 
str varcmap1 = "jet"
 
int blct = 1
 
int blcy = 15
 
int blcx = 15
 
 args = sys.argv
 
 PRC_NUM_X_ANL = int(args[1])
 
 PRC_NUM_Y_ANL = int(args[2])
 
str dir_out = "./fig/"
 
str horaxis = "LATLON"
 
bool withmap = True
 
 lonticks = np.arange(80,180+1,10)
 
 latticks = np.arange(10,60+1,10)
 
int slon = 120
 
int elon = 150
 
int slat = 25
 
int elat = 45
 
bool savefig = True
 
 comm
 
 size
 
 rank
 
 PRC_NUM_X_PER_ANL
 
 PRC_NUM_Y_PER_ANL
 
 fpathlist = get_fpathlist_mpi(dir1,ftype,domainlabel,timelabel,PRC_NUM_X,PRC_NUM_Y,PRC_NUM_X_ANL,PRC_NUM_Y_ANL,size,rank)
 
 PRC_NUM_ARR0 = check_prcnum_mpi(PRC_NUM_X,PRC_NUM_Y,PRC_NUM_X_ANL,PRC_NUM_Y_ANL,size,rank)
 
 xrvar = get_xrvar(fpathlist)
 
 var2d_avg = get_blcavg(xrvar,varname1,blct,blcy,blcx)
 
 sendbuf = np.array(var2d_avg,"d")
 
 recvbuf = None
 
 root
 
 var2d_avg_combined = combine_var2d_blockavg(sendbuf,recvbuf,PRC_NUM_Y_ANL,PRC_NUM_X_ANL)
 
 time = xrvar.coords["time"]
 
 tsize = len(time)
 
str tlabel = f"{t*blct:04d}-{(t+1)*blct-1:04d}"
 
 lon = xrvar.coords["lon"]
 
 lat = xrvar.coords["lat"]
 
 fig = plt.figure(figsize=(8,5))
 
 ax = fig.add_subplot(111,projection=ccrs.PlateCarree())
 
 color
 
 crs
 
 xlocs
 
 ylocs
 
 figsize
 
 cax = ax.contourf(lon[blcy//2::blcy,blcx//2::blcx],lat[blcy//2::blcy,blcx//2::blcx],varfact1*var2d_avg_combined[t,:,:],levels=varlevels1,cmap=varcmap1)
 
str figtitle = f"mpi_xarray_coarsened_ll_{varname1}_blct{blct:04d}blcy{blcy:04d}blcx{blcx:04d}_t{tlabel}.png"
 
 x = xrvar.coords["x"]
 
 y = xrvar.coords["y"]
 
 cbar = plt.colorbar(cax,ax=ax,fraction=0.02)