The Passive Microwave Neural Network Precipitation Retrieval Algorithm for Climate Applications (PNPR-CLIM): Design and Verification

The Passive Microwave Neural Network Precipitation Retrieval Algorithm for Climate Applications (PNPR-CLIM): Design and Verification

This paper describes the Passive microwave Neural network Precipitation Retrieval algorithm for climate applications (PNPR-CLIM), developed with funding from the Copernicus Climate Change Service (C3S), implemented by ECMWF on behalf of the European Union. The algorithm has been designed and develop...

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Bibliographic Details
Main Authors: Leonardo Bagaglini, Paolo Sanò, Daniele Casella, Elsa Cattani, Giulia Panegrossi
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Remote Sensing
Subjects:
precipitation
satellite retrieval
microwave
neural network
climate data record
essential climate variables
Online Access:https://www.mdpi.com/2072-4292/13/9/1701

Internet

https://www.mdpi.com/2072-4292/13/9/1701

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