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An Algorithm for Retrieving Precipitable Water Vapor over Land Based on Passive Microwave Satellite Data
Zhou F. C.; Song, X. N.; Leng, P.; Wu, H.; Tang, B. H.
Source PublicationAdvances in Meteorology
2016
Keywordsurface emission model raman lidar brightness temperatures sun photometer gps radiometer network aeronet liquid soil
AbstractPrecipitable water vapor (PWV) is one of the most variable components of the atmosphere in both space and time. In this study, a passive microwave-based retrieval algorithm for PWV over land without land surface temperature (LST) data was developed. To build the algorithm, two assumptions exist: (1) land surface emissivities (LSE) at two adjacent frequencies are equal and (2) there are simple parameterizations that relate transmittance, atmospheric effective radiating temperature, and PWV. Error analyses were performed using radiosonde sounding observations from Zhangye, China, and CE318 measurements of Dalanzadgad (43 degrees 34'37 '' N, 104 degrees 25'8 '' E) and Singapore (1 degrees 17'52 '' N, 103 degrees 46'48 '' E) sites from Aerosol Robotic Network (AERONET), respectively. In Zhangye, the algorithm had a Root Mean Square Error (RMSE) of 4.39mm and a bias of 0.36 mm on cloud-free days, while on cloudy days there was an RMSE of 4.84 mm and a bias of 0.52 mm because of the effect of liquid water in clouds. The validations in Dalanzadgad and Singapore sites showed that the retrieval algorithm had an RMSE of 4.73 mm and a bias of 0.84 mm and the bigger errors appeared when the water vapor was very dry or very moist.
Indexed BySCI
Language英语
ISSN1687-9309
DOI10.1155/2016/4126393
Citation statistics
Document TypeSCI/SSCI论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/43436
Collection历年回溯文献
Recommended Citation
GB/T 7714
Zhou F. C.,Song, X. N.,Leng, P.,et al. An Algorithm for Retrieving Precipitable Water Vapor over Land Based on Passive Microwave Satellite Data. 2016.
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