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
>
