An Algorithm for Retrieving Precipitable Water Vapor over Land Based on Passive Microwave Satellite Data
文献类型：SCI/SSCI论文
| 作者 | Zhou F. C.; Song, X. N.; Leng, P.; Wu, H.; Tang, B. H.; Tian, J ; Yu, GR; He, NP; Liu, Y
|
| 发表日期 | 2016 |
| 关键词 | surface emission model raman lidar brightness temperatures sun photometer gps radiometer network aeronet liquid soil |
| 英文摘要 | Precipitable 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. |
| 出处 | Advances in Meteorology |
| 收录类别 | SCI |
| 语种 | 英语 |
| ISSN号 | 1687-9309 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/43951]  |
| 专题 | 地理科学与资源研究所_生态系统研究网络观测与模拟重点实验室_CERN水分分中心 |
| 推荐引用方式 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. |
入库方式： OAI收割
来源：地理科学与资源研究所
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