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Hi all, I solved the problem! Many thanks to Dave Allured and Daniel Heydebreck for the suggestions. This is my solution: In Python the following packages are really helpful to deal with shapefiles: the rasterize and geopandas package . On Github ( xray methods using shapefile as mask? · Issue #501 · pydata/xarray (github.com) <https://github.com/pydata/xarray/issues/501> ) I found some code with these packages (written by shoyer) and constructed a new shapefile! Good luck for the ones who also face this problem. Best wishes, Steppe Op do 25 feb. 2021 om 17:22 schreef Steppe Rottgering < stepperottgering@xxxxxxxxx>: > Hi all, > > > My name is Steppe and I am writing my master thesis about the impact of > climate change on wildfires in the United States. I downloaded some General > Circulation Models (GCM's) from the Coupled Model Intercomparison Project > Phase 5 (CMIP5) , which are NetCDF files. I used R to open the data and > found Panoply and good format to visualize the data. Now, I'm looking for a > NetCDF tool which can convert latlon to states in the United States (maybe > just take the mean of all latlons in a state)? > > > In the end, I want for all states in the United States one precipitation / > maximum temperature value per timestamp (months). > > > It would be great and much appreciated if someone can help me with this. > > > > Thanks in advance. > > > > Best regards, > > Steppe >
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