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Hi,
We are working on running LISFLOOD for predicting streamflow in the hindcast mode for 1 to 5 day lead times. It is clear from the LISFLOOD github page that we need to work with the variables "StepStart" and "timestepInit", former being the first timestep of the hindcast, while later being the initialization step. We downloaded the ECMWF IFS datasets for the flood events and converted the NetCDF files into LISFLOOD precip files. My question is "Is there any preprocesser/wrapper for this workflow to make the connection between LISFLOOD and IFS datasets easier, and for running the whole process in a more efficient way. We will finally calculate hindcast performance statistics such as CRPSS and others after this step.
Thank you!
Koray.
The text was updated successfully, but these errors were encountered:
thank you for sharing the description of your application of OS LISFLOOD.
At the moment, we do not have an open source wrapper. However, in case your workflow includes the conversion of GRIB data into netcdf, you might be interested in the following open source tool: https://github.com/ec-jrc/pyg2p https://github.com/ec-jrc/pyg2p is used within the operational workflow of the Copernicus Emergency Management Service European and Global Flood Awareness System (bilinear_delaunay interpolation).
Hi,
We are working on running LISFLOOD for predicting streamflow in the hindcast mode for 1 to 5 day lead times. It is clear from the LISFLOOD github page that we need to work with the variables "StepStart" and "timestepInit", former being the first timestep of the hindcast, while later being the initialization step. We downloaded the ECMWF IFS datasets for the flood events and converted the NetCDF files into LISFLOOD precip files. My question is "Is there any preprocesser/wrapper for this workflow to make the connection between LISFLOOD and IFS datasets easier, and for running the whole process in a more efficient way. We will finally calculate hindcast performance statistics such as CRPSS and others after this step.
Thank you!
Koray.
The text was updated successfully, but these errors were encountered: