Temperature and Moisture Sounding Performance of Current and Prospective Microwave Instruments under All-Sky Conditions

We provide consistent theoretical and empirical assessments of the major driving factors of the information content and retrieval performance for current and potential future microwave (MW) sounders. For the specific instrument concepts assessed, we find that instrument noise is a major driver, impa...

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Detalles Bibliográficos

Principais autores:	Eric S. Maddy, Stacy Bunin, Valerie J. Mikles, Narges Shahroudi, Bungo Shiotani, Sid-Ahmed Boukabara
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2022-03-01
Series:	Remote Sensing
Assuntos:	artificial intelligence atmosphere Earth Observing System machine learning neural networks remote sensing
Acceso en liña:	https://www.mdpi.com/2072-4292/14/7/1624
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