NCL/Python--替换nc文件指定格点的数值

需要对指定格点排放源的数值进行更改，写了ncl和python两个脚本

图为关闭湖南湖北排放源前后对比

code：

需要经纬度格点数的txt文件del_d01.txt,del_d02.txt

NCL：

row = numAsciiRow("./del_d01.txt")

col = numAsciiCol("./del_d01.txt")

del_d01 = asciiread("./del_d01.txt",(/row,col/),"float")

printVarSummary(del_d01)

year=2019

a = addfile("./nothb_"+year+"/wrfchemi_12z_d01", "w")

my_e_iso = a->E_ISO

do idel =0,row-1 ;纬度的格点数范围

  ilon = toint(del_d01(idel,0)-1)

  ilat = toint(del_d01(idel,1)-1)

 my_e_iso(:,:,ilat,ilon)=0

end do

a->E_ISO = my_e_iso

Python:

import os

import numpy as np

import Ngl,Nio

# emission year

yyyy_emi = 2015

#-- read the ascii data

f_grid = open("./del_d01.txt",'r')

data = f_grid.readlines()         #-- data: type list

nrows = len(data)

#-- assign lists to append elements

lat0 = []

lon0 = []

for i in data:

line = i.strip()

# print(line)

cols = line.split()

lon0.append(cols[0])

lat0.append(cols[1])

#-- convert string to float

lat = np.array(lat0).astype(int)

lon = np.array(lon0).astype(int)

######################

#-- nc data file name

fname = "./nothb_"+str(yyyy_emi)+"/wrfchemi_00z_d01"

#-- open file

f = Nio.open_file(fname, "w")

#-- read emission arrays

my_e_iso = f.variables["E_ISO"]

#-- convert data change thb to 0

for i in list(range(nrows)):

ilat=lat[i]

ilon=lon[i]

my_e_iso[:,:,ilat,ilon]  =0 

#-- assign values --> write data to file

f.variables["E_ISO"].assign_value(my_e_iso)

#-- close output stream (not necessary)

f.close()