The Passive Microwave Neural Network Precipitation Retrieval (PNPR) Algorithm for the CONICAL Scanning Global Microwave Imager (GMI) Radiometer

The Passive Microwave Neural Network Precipitation Retrieval (PNPR) Algorithm for the CONICAL Scanning Global Microwave Imager (GMI) Radiometer

This paper describes a new rainfall rate retrieval algorithm, developed within the EUMETSAT H SAF program, based on the Passive microwave Neural network Precipitation Retrieval approach (PNPR v3), designed to work with the conically scanning Global Precipitation Measurement (GPM) Microwave Imager (G...

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Bibliographic Details
Main Authors: Paolo Sanò, Giulia Panegrossi, Daniele Casella, Anna C. Marra, Leo P. D’Adderio, Jean F. Rysman, Stefano Dietrich
Format: Article
Language:English
Published: MDPI AG 2018-07-01
Series:Remote Sensing
Subjects:
satellite precipitation retrieval
neural networks
GPM
GMI
remote sensing
Online Access:http://www.mdpi.com/2072-4292/10/7/1122

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http://www.mdpi.com/2072-4292/10/7/1122

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