期刊
REMOTE SENSING OF ENVIRONMENT
卷 191, 期 -, 页码 313-327出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.rse.2017.01.028
关键词
Total precipitable water; Surface emissivity; Microwave remote sensing; Downscaling; Passive microwave radiometer
资金
- National Natural Science Foundation of China [41501398]
- National Key Basic Research Program of China [2015CB953701]
- Special Foundation for Young Scientists of the State Laboratory of Remote Sensing Science [15RC-07]
Atmospheric water vapor plays an important role in hydrologic cycle and climate change of the Earth. A number of studies have focused on retrieval of the total precipitable water (TPW) using microwave or optical remote sensing. In this paper, the global quarter-degree gridded TPW over land was retrieved using water vapor sensitivity parameter Delta Tb-18.7/Delta Tb-23.8 based on the combination of AMSR-E and MODIS observations. There are two major improvements in the retrieval algorithm, including optimization of the estimation model of surface emissivity Delta epsilon(18.7)/Delta epsilon(23.8) and correction of the terrain influence to the retrieval of TPW using DEM. To obtain a high resolution TPW, we also developed an algorithm to downscale the retrieved quarter-degree gridded TPW to a fine scale of 0.05 degrees x 0.05 degrees using DEM and NDVI. In addition, the downscaled TPW was further calibrated using high precision TPW from MODIS in the clear-sky condition to improve its accuracy. Finally, both quarter-degree and 0.05 degrees x 0.05 degrees gridded TPW were validated against SuomiNet GPS retrieved TPW on a global scale. The RMSE for the retrieved quarter-degree gridded global TPW is 3.45 mm, with a correlation coefficient of 0.95. In addition, the RMSE for the downscaled 0.05 degrees x 0.05 degrees gridded global TPW is 4.18 mm, with a correlation coefficient of 0.95. An obvious advantage of our algorithm compared with MODIS TPW product is that it can retrieve TPW under cloudy sky condition over land. The algorithm developed in this study can be easily transferred to AMSR2 on board GCOM-W1 and provides the long-term global daily TPW over land since the launch of Aqua to present day to support hydrologic cycle and climate change studies. (C) 2017 Elsevier Inc. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据