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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Autors principals:	Eric S. Maddy, Stacy Bunin, Valerie J. Mikles, Narges Shahroudi, Bungo Shiotani, Sid-Ahmed Boukabara
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2022-03-01
Col·lecció:	Remote Sensing
Matèries:	artificial intelligence atmosphere Earth Observing System machine learning neural networks remote sensing
Accés en línia:	https://www.mdpi.com/2072-4292/14/7/1624
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