def minus_MG_and_argopoint(year,month,var,cb_min,cb_max,area_num,depth): # area_num=0でインド洋全域 import subroutine import MOAA_GPV import WOA01 import AQC import numpy as np import matplotlib.pyplot as plt stryear,strmonth=subroutine.strym(year,month) strym=stryear+strmonth save_dir=subroutine.save_dir() my_color=0 # 青白赤 dataWOA=WOA01.nc_read(month,var,depth+1) # WOAはz=0があるので、1足してMGと一致 dataWOA=subroutine.data_trimming_IO(dataWOA,4) dataMG=MOAA_GPV.nc_read(year,month,var,depth) dataMG=subroutine.data_trimming_IO(dataMG,1) data=dataMG-dataWOA xgrid,ygrid=subroutine.IO_gridvalue() m=subroutine.IO_map(area_num,1,1) x, y = np.meshgrid(xgrid, ygrid) X, Y = m(x, y) title='' plt.title(title,fontsize=25) temp,salt,pres,lon,lat=AQC.get_data(year,month) interval_of_cf=subroutine.cl_res(cb_min,cb_max) data,cmap,cb_interval,plt=subroutine.color(data,my_color,interval_of_cf,plt) CF=m.contourf(X, Y, data,interval_of_cf, cmap=cmap, latlon=True,extend='both') cb=m.colorbar(CF, ticks=cb_interval) SC=plt.scatter(lon,lat,s=45,c='maroon') fnameF = save_dir+strym+var+'_MG-WOA.jpg' plt.savefig(fnameF) plt.clf()
def get_data(year, month, var, depth, title_name = 'ESTOCver03'):
import ESTOCver01
import ESTOCver02
import ESTOCver03
import ORAS4
import MOAA_GPV
import GECCO2
import WOA01
import HadISST
import ERSST
import COBESST
import RG
import ERA
if title_name == 'ESTOCver01':
data = ESTOCver01.masuda_data_read(year, month, var, depth)
elif title_name == 'ESTOCver02':
data = ESTOCver02.nc_read(year, month, var, depth)
elif title_name == 'ESTOCver03':
data = ESTOCver03.masuda_data_read(year, month, var, depth)
elif title_name == 'MOAA_GPV':
data = MOAA_GPV.nc_read(year, month, var, depth)
elif title_name == 'ORAS4':
data = ORAS4.nc_read(year, month, var, depth)
elif title_name == 'GECCO2':
data = GECCO2.grib_read(year, month, var, depth)
elif title_name == 'WOA01':
data = WOA01.nc_read(month, var, depth)
elif title_name == 'COBESST':
data = COBESST.nc_read(year, month)
elif title_name == 'HadISST':
data = HadISST.nc_read(year, month)
elif title_name == 'ERSST':
data = ERSST.nc_read(year, month)
elif title_name == 'Roemmich_Gilson':
data = RG.nc_read(year, month, var, depth)
elif title_name == 'ERA':
data = ERA.get_data(year, month, var) # これで得られるデータはインド洋領域のみなので注意。
else:
raise Exception('error! your product_n is not valid!')
return data
