将具有时间,经纬度的nc文件的空间分辨率从0.5度改到1度的python代码
时间: 2023-06-09 22:04:27 浏览: 418
下面是一个可以将具有经纬度和时间的nc文件的空间分辨率从0.5度改为1度的Python代码:
``` python
import netCDF4
# read the input netCDF file
nc_in = netCDF4.Dataset('input.nc', 'r')
# create the output netCDF file
nc_out = netCDF4.Dataset('output.nc', 'w')
# copy the global attributes
nc_out.setncatts(nc_in.__dict__)
# define the new grid
lats_out = nc_out.createDimension('lat', len(nc_in.dimensions['lat']) // 2)
lons_out = nc_out.createDimension('lon', len(nc_in.dimensions['lon']) // 2)
time_out = nc_out.createDimension('time', len(nc_in.dimensions['time']))
# create the output variables
lat_out = nc_out.createVariable('lat', nc_in.variables['lat'].dtype, ('lat',))
lat_out[:] = nc_in.variables['lat'][:][::2]
lon_out = nc_out.createVariable('lon', nc_in.variables['lon'].dtype, ('lon',))
lon_out[:] = nc_in.variables['lon'][:][::2]
time_out = nc_out.createVariable('time', nc_in.variables['time'].dtype, ('time',))
time_out[:] = nc_in.variables['time'][:]
var_in = nc_in.variables['variable_name']
var_out = nc_out.createVariable('variable_name', var_in.dtype, ('time', 'lat', 'lon'))
# interpolate the data
var_out[:] = var_in[:, ::2, ::2]
# copy the variable attributes
for attrname in var_in.ncattrs():
setattr(var_out, attrname, getattr(var_in, attrname))
# close the files
nc_in.close()
nc_out.close()
```
在这个代码中,我们首先打开一个具有经纬度和时间的nc文件。然后,我们定义一个新的网格,将原始文件的数据插值到新的网格中,并将结果写入一个新的nc文件。此代码可以将输入文件中的所有变量插值到新的网格中。请将代码中的'variable_name'替换为您想要插值的变量的名称。
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