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I'm very much interested in running pysteps and particularity if zenith total delay (proxy to precipitation) derived from GPS can be ingested/ assimilated to pysteps in addition to radar image. I could produce gridded zenith total delay in near-real time from a dense network of GPS station, and I wanted to know if there is a way to ingest these data set? I would like to hear your suggestions.
The text was updated successfully, but these errors were encountered:
The nowcasting functions in pysteps are independent of any importer as long as your data is in a regular cartesian grid (let's call them "images"). Once you have a temporal sequence of images, you can run the nowcast as in this example.
I'm very much interested in running pysteps and particularity if zenith total delay (proxy to precipitation) derived from GPS can be ingested/ assimilated to pysteps in addition to radar image. I could produce gridded zenith total delay in near-real time from a dense network of GPS station, and I wanted to know if there is a way to ingest these data set? I would like to hear your suggestions.
The text was updated successfully, but these errors were encountered: