A Machine Learning Snowfall Retrieval Algorithm for ATMS

A Machine Learning Snowfall Retrieval Algorithm for ATMS

This article describes the development of a machine learning (ML)-based algorithm for snowfall retrieval (Snow retrievaL ALgorithm fOr gpM–Cross Track, SLALOM-CT), exploiting ATMS radiometer measurements and using the CloudSat CPR snowfall products as references. During a preliminary analysis, diffe...

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Bibliographic Details
Main Authors: Paolo Sanò, Daniele Casella, Andrea Camplani, Leo Pio D’Adderio, Giulia Panegrossi
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Remote Sensing
Subjects:
neural networks
deep learning
machine learning
convolutional neural networks
microwave radiometers
satellite precipitation retrieval
Online Access:https://www.mdpi.com/2072-4292/14/6/1467

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