DocumentCode :
75157
Title :
Retrieval Analysis of Atmospheric Water Vapor for K-Band Ground-Based Hyperspectral Microwave Radiometer
Author :
Dawei Liu ; Changchun Lv ; Kai Liu ; Yan Xie ; Jungang Miao
Author_Institution :
Sch. of Electron. & Inf. Eng., Beihang Univ., Beijing, China
Volume :
11
Issue :
10
fYear :
2014
fDate :
Oct. 2014
Firstpage :
1835
Lastpage :
1839
Abstract :
In this letter, we study the performance of a K-band ground-based hyperspectral microwave radiometer for the observation of atmospheric water vapor. First, a prototype of a K-band ground-based hyperspectral microwave radiometer for atmospheric sounding is proposed. This microwave radiometer is able to split the 18-26-GHz signal into 80 hyperspectral channels with identical bandwidth. Simulation studies, including the retrieval performance of water vapor and the vertical resolution of observation compared with the five-humidity-channel radiometer TP/WVP-3000 under the same conditions, are presented to assess the capability of the prototype. Simulation results show that the vertical resolution of this prototype is better than that of TP/WVP-3000 at a higher altitude, and the RMS water vapor error improves by about 10% at an altitude of 0-6 km. Moreover, by simulation, we analyze the impact of the radiometer channel number on the Shannon information gain and the RMS water vapor error of the hyperspectral microwave radiometer. At an altitude of 1.5-6 km, more information can be obtained by increasing the number of microwave spectrum channels. For water vapor profiling, the improvement of the retrieval RMS error from 10 to 800 channels at a higher altitude exceeds about 5%-10%.
Keywords :
atmospheric humidity; atmospheric techniques; remote sensing; K-band ground-based hyperspectral microwave radiometer; RMS water vapor error; Shannon information gain; TP-WVP-3000 radiometer; atmospheric sounding; atmospheric water vapor retrieval analysis; five-humidity-channel radiometer; frequency 18 GHz to 26 GHz; hyperspectral channels; Atmospheric measurements; Humidity; Hyperspectral imaging; Microwave radiometry; Microwave theory and techniques; Prototypes; Channel analysis; hyperspectral microwave radiometer; retrieval of water vapor profile;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
Publisher :
ieee
ISSN :
1545-598X
Type :
jour
DOI :
10.1109/LGRS.2014.2311833
Filename :
6787011
Link To Document :
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