Neural network temperature and moisture retrieval algorithm validation for AIRS/AMSU and CrIS/ATMS-Reference-Cited by-同舟云学术

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Neural network temperature and moisture retrieval algorithm validation for AIRS/AMSU and CrIS/ATMS

Published:2016-02-18 Issue:4 Volume:121 Page:1414-1430
ISSN:2169-897X
Container-title:Journal of Geophysical Research: Atmospheres
language:en
Short-container-title:J. Geophys. Res. Atmos.

Author:

Milstein Adam B.¹,Blackwell William J.¹

Affiliation:

1. Lincoln Laboratory; Massachusetts Institute of Technology; Lexington Massachusetts USA

Funder

National Oceanic and Atmospheric Administration

National Aeronautics and Space Administration

Air Force

Publisher

American Geophysical Union (AGU)

Subject

Space and Planetary Science,Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Geophysics

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/2015JD024008/fullpdf

Reference25 articles.

1. Matrix Mathematics

2. Neural network Jacobian analysis for high-resolution profiling of the atmosphere;Blackwell;EURASIP J. Adv. Signal Process.,2012

3. A neural-network technique for the retrieval of atmospheric temperature and moisture profiles from high spectral resolution sounding data;Blackwell;IEEE Trans. Geosci. Remote Sens.,2005

4. A neural network retrieval technique for high-resolution profiling of cloudy atmospheres;Blackwell;IEEE J. Selec. Top. Appl. Earth Obs. Remote Sens.,2014

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