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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ying Zhang Liangfu Chen Jinhua Tao Lin Su Mingmin Zou Meng Fan |
| Copyright Year | 2012 |
| Description | Author affiliation: Graduate University of Chinese Academy of Sciences, Beijing, China (Mingmin Zou; Meng Fan) || State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing, Applications of Chinese Academy of Sciences and Beijing, Normal University, China (Ying Zhang; Liangfu Chen; Jinhua Tao; Lin Su) |
| Abstract | Spaceborne measurements by Atmospheric Infrared Sounder (AIRS) on the EOS/Aqua satellite provide a global view of methane (CH4) distribution in the mid-upper troposphere (MUT-CH4) since September, 2002. In the AIRS retrieval algorithm, a modified Optimal Estimation Model (OEM) is utilized based on Singular Value Decomposition (SVD) technique, which minimizes the dependence of the solution to the first-guess field and the first-guess error characteristics and can get an accurate CH4 retrieval at the maximum sensitive layer in the mid-upper troposphere. Nevertheless, in the less sensitive layer, the CH4 retrieval is close to the first-guess. Therefore, a better first-guess can improve the accuracy and efficiency of CH4 vertical profile retrieval. In this paper, a stable inversion model based on Empirical Orthogonal Functions (EOF) of computational efficiency and acceptable accuracy was developed to solve the above problems. Based on RTTOV 10.2 (a high precision atmospheric radiative transfer model for AIRS), an empirical regression model based on orthogonal function was formulized to retrieve CH4 vertical profile from spacebonre hyperspectral infrared observations. Validation of AIRS CH4 total column amount retrieved from EOF versus FTIR measurements shows that its Person correlative coefficient is bigger than 0.85. The CH4 volume mixing ratio (VMR) near surface retrieved from EOF versus Mt. Waliguan, China (WLG, 36.2879°N 100.8964°E, 3810 m) shows that the RMS error is less than 1.5%. The regression model based on EOF can retrieve CH4 profile from spaceborne hyperspectral infrared observations in a rapid and stable way. |
| Starting Page | 82 |
| Ending Page | 85 |
| File Size | 535610 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781467319478 |
| e-ISBN | 9781467319461 |
| DOI | 10.1109/EORSA.2012.6261140 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-06-08 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Water Satellites Empirical Orthogonal Functions (EOF) Atmospheric measurements Atmospheric modeling Atmospheric Infrared Sounder (AIRS) Terrestrial atmosphere methane Covariance matrix atmospheric profile retrieval Remote sensing |
| Content Type | Text |
| Resource Type | Article |
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