Python：过滤带有向量的 NetCDF 文件

Question

I have vectors of bounding-boxes of cities in the following form

Paris = (longmin,latmin, longmax, latmax)
Beirut = (longmin,latmin, longmax, latmax)
#etc...
#longmin being the minimum longitude, latmin the minimum longitude and max being the maximum.

I want to filter different NetCDF files, all of which contain all the coordinates in the world, to only keep the data matching the coordinates of the vectors' bounding boxes.

How should I proceed?

Answer 1

If you are new to netCDF in Python you should consider using xarray or my package nctoolkit for spatial subsetting. In the case of nctoolkit, you can subset spatially as follows:

import nctoolkit as nc
ds = nc.open_data("infile.nc")
ds.subset(lon = [longmin, longmax], lat = [latmin, latmax])