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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主要な著者:	Paolo Sanò, Giulia Panegrossi, Daniele Casella, Anna C. Marra, Leo P. D’Adderio, Jean F. Rysman, Stefano Dietrich
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2018-07-01
シリーズ:	Remote Sensing
主題:	satellite precipitation retrieval neural networks GPM GMI remote sensing
オンライン･アクセス:	http://www.mdpi.com/2072-4292/10/7/1122
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