An Improved Method Combining CNN and 1D-Var for the Retrieval of Atmospheric Humidity Profiles from FY-4A/GIIRS Hyperspectral Data

An Improved Method Combining CNN and 1D-Var for the Retrieval of Atmospheric Humidity Profiles from FY-4A/GIIRS Hyperspectral Data

FY-4A/GIIRS (Geosynchronous Interferometric Infrared Sounder) is the first infrared hyperspectral atmospheric vertical detector in geostationary orbit. Compared to other similar instruments, it has the advantages of high temporal resolution and stationary relative to the ground. Based on the charact...

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Bibliographic Details
Main Authors: Pengyu Huang, Qiang Guo, Changpei Han, Huangwei Tu, Chunming Zhang, Tianhang Yang, Shuo Huang
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Remote Sensing
Subjects:
humidity profiles
FY-4A/GIIRS
convolutional neural network (CNN)
one-dimensional variational (1D-Var)
Online Access:https://www.mdpi.com/2072-4292/13/23/4737

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https://www.mdpi.com/2072-4292/13/23/4737

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