Neural networks approach to high vertical resolution atmospheric temperature profile retrieval from spaceborne high spectral resolution infrared sounder measurements

Deming Jiang; Chaohua Dong; Weisong Lu

doi:10.1117/12.649743

17 February 2006 Neural networks approach to high vertical resolution atmospheric temperature profile retrieval from spaceborne high spectral resolution infrared sounder measurements

Deming Jiang, Chaohua Dong, Weisong Lu

Author Affiliations +

Proceedings Volume 6064, Image Processing: Algorithms and Systems, Neural Networks, and Machine Learning; 60641L (2006) https://doi.org/10.1117/12.649743
Event: Electronic Imaging 2006, 2006, San Jose, California, United States

Abstract

AIRS (Atmospheric Infra-Red Sounder) as NASA's first high spectral resolution sounding instrument provides both new and improved measurements of clouds, atmosphere, and land and oceans, with higher accuracy and higher resolution required by future weather and climate models. It will largely improve the deficiencies of the inability of current sounders (e.g. HIRS-3) to obtain high vertical resolution of retrieved atmosphere profiles. In this paper, temperature profiles with 1km vertical resolution at 100 pressure layers, from surface up to 0.005 hPa, were retrieved on different spectral bands and on different types of terrain in the middle latitude area by using a three-layered feed-forward neural networks with back-propagation algorithm. Results show that temperature profiles with accuracy of less than 1K in 1 km thick tropospheric layers can be achieved by using AIRS data and neural networks method. And the Qinghai-Tibet Plateau has a measurably impact on the retrieval accuracy which is corresponding to the spectral bands used in performing retrievals. A promising approach to the elimination of this effect is to apply additional predictors which are non-satellite observed (e.g. surface altitude).

Citation Download Citation

Deming Jiang, Chaohua Dong, and Weisong Lu "Neural networks approach to high vertical resolution atmospheric temperature profile retrieval from spaceborne high spectral resolution infrared sounder measurements", Proc. SPIE 6064, Image Processing: Algorithms and Systems, Neural Networks, and Machine Learning, 60641L (17 February 2006); https://doi.org/10.1117/12.649743

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
9 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Spectral resolution

Neural networks

Atmospheric modeling

Infrared radiation

Satellites

Environmental sensing

Microwave radiation

Show All Keywords

Keywords/Phrases

Search In:

Publication Years