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Dear jussi.leinonen:
I would like to ask why the generated dataset has 64 different radar reflectivity scenarios at the same latitude, longitude, and altitude. That is to say, the other independent variables are two-dimensional, including height, but the radar reflectivity is three-dimensional. Thank you.
The text was updated successfully, but these errors were encountered:
Hi @zzh23323, the CGAN can generate different outputs whose variability represents the uncertainty of the generated field. The generated dataset includes 64 different outputs for each input so that users can see and analyze this variability.
Dear jussi.leinonen:
Thank you for your reply. The actual radar reflectivity scene from Cloudsat satellite is within the range of -35 to 20dBZ, and the "scenes" variable of the dataset "cs_modis_scenes. nc" you generated is between 0 and 1. May I ask how you processed the raw data to convert it into data between 0 and 1, which means what was done to the scene data?
Dear jussi.leinonen:
I would like to ask why the generated dataset has 64 different radar reflectivity scenarios at the same latitude, longitude, and altitude. That is to say, the other independent variables are two-dimensional, including height, but the radar reflectivity is three-dimensional. Thank you.
The text was updated successfully, but these errors were encountered: