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

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...

Full description

Bibliographic Details
Main Authors: Eric S. Maddy, Stacy Bunin, Valerie J. Mikles, Narges Shahroudi, Bungo Shiotani, Sid-Ahmed Boukabara
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Remote Sensing
Subjects:
artificial intelligence
atmosphere
Earth Observing System
machine learning
neural networks
remote sensing
Online Access:https://www.mdpi.com/2072-4292/14/7/1624

Internet

https://www.mdpi.com/2072-4292/14/7/1624

Similar Items