An Improved Retrieval Algorithm for Water Vapor Retrieval: Application to the Envisat Microwave Radiometer

被引：26

作者：

Obligis, Estelle ^{[1
]}

Rahmani, Abdel ^{[1
]}

Eymard, Laurence ^{[2
]}

Labroue, Sylvie ^{[1
]}

Bronner, Emilie ^{[3
]}

机构：

[1] Collecte Localisat Satellites, F-31520 Ramonville St Agne, France

[2] Univ Paris 06, Inst Pierre Simon Laplance, CNRS, Lab Oceanog & Climat Experimentat & Approches Num, F-75252 Paris, France

[3] Ctr Natl Etud Spatiales, F-75039 Paris, France

来源：

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 2009年 / 47卷 / 09期

关键词：

Microwave radiometry; water vapor retrieval; wet tropospheric correction; IN-FLIGHT CALIBRATION; GEOPHYSICAL PRODUCTS; TEMPERATURE; VALIDATION; ERROR;

D O I：

10.1109/TGRS.2009.2020433

中图分类号：

P3 [地球物理学]; P59 [地球化学];

学科分类号：

0708 ; 070902 ;

摘要：

Algorithms proposed to retrieve water vapor are usually developed using statistical regression. Recent results have shown that this global statistical approach creates systematic geographical errors implying systematic biases. In the particular case of the wet tropospheric correction for altimetry missions, these biases directly distort the sea level estimation. After an in-depth analysis of the retrieval errors, we propose a new approach that significantly improves the quality of the retrieval algorithm.

引用

页码：3057 / 3064

页数：8

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