A Rainfall Model Based on a Geographically Weighted Regression Algorithm for Rainfall Estimations over the Arid Qaidam Basin in China
文献类型:SCI/SSCI论文
作者 | Lv A. F.; Zhou, L. |
发表日期 | 2016 |
关键词 | rainfall estimation GWR TRMM Qaidam Basin multisatellite precipitation analysis high-resolution satellite spatial variability analysis tmpa gauge data real-time radar data trmm products interpolation |
英文摘要 | Accurate rainfall estimations based on ground-based rainfall observations and satellite-based rainfall measurements are essential for hydrological and environmental modeling in the Qaidam Basin of China. We evaluated the accuracy of daily and monthly scale Tropical Rainfall Measuring Mission (TRMM) rainfall products in the Qaidam Basin. A Geographically Weighted Regression (GWR) was used to estimate the spatial distribution of the TRMM product error using altitude and geographical latitude and longitude as independent variables. Finally, a rainfall model was developed by combining ground-based and satellite-based rainfall measurements, and the model precision was validated with a cross-validation method based on rainfall gauge measurements. The TRMM precipitation observations may contain errors compared with the ground-measured precipitation, and the error for daily data was higher than that for monthly data. A time series of TRMM rainfall measurements at the same location showed errors at certain time intervals. The ground-based and satellite-based rainfall GWR model improved the error in the TRMM rainfall products. This rainfall estimation model with a 1-km spatial resolution is applicable in the Qaidam Basin in which there is a sparse network of rainfall gauges, and is significant for spatial investigations of hydrology and climate change. |
出处 | Remote Sensing |
卷 | 8 |
期 | 4 |
语种 | 英语 |
ISSN号 | 2072-4292 |
DOI标识 | 10.3390/rs8040311 |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/43130] ![]() |
专题 | 地理科学与资源研究所_历年回溯文献 |
推荐引用方式 GB/T 7714 | Lv A. F.,Zhou, L.. A Rainfall Model Based on a Geographically Weighted Regression Algorithm for Rainfall Estimations over the Arid Qaidam Basin in China. 2016. |
入库方式: OAI收割
来源:地理科学与资源研究所
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