Combined IASI-NG and MWS Observations for the Retrieval of Cloud Liquid and Ice Water Path: A Deep Learning Artificial Intelligence Approach

Combined IASI-NG and MWS Observations for the Retrieval of Cloud Liquid and Ice Water Path: A Deep Learning Artificial Intelligence Approach

A neural network (NN) approach is proposed to combine future infrared (IASI-NG) and microwave (MWS) observations to retrieve cloud liquid and ice water path. The methodology is applied to simulated IASI-NG and MWS observations in the period January–October 2019. IASI-NG and MWS observatio...

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Bibliographic Details
Main Authors: Pietro Mastro, Guido Masiello, Carmine Serio, Domenico Cimini, Elisabetta Ricciardelli, Francesco Di Paola, Tim Hultberg, Thomas August, Filomena Romano
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Artificial neural networks
Fourier transform infrared
low earth orbit satellites
microwave radiometry
Online Access:https://ieeexplore.ieee.org/document/9756279/

Internet

https://ieeexplore.ieee.org/document/9756279/

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