Comprehensive evaluation of high-resolution satellite-based precipitation products over China
文献类型：期刊论文
| 作者 | Guo, Hao1; Chen, Sheng1; Bao, Anming1; Hu, Junjun1; Yang, Banghui1; Stepanian, Phillip M.1 |
| 刊名 | Atmosphere
 |
| 出版日期 | 2016 |
| 卷号 | 7期号:1 |
| 关键词 | HYPERSPECTRAL IMAGERY |
| 通讯作者 | Bao, Anming (baoam@ms.xjb.ac.cn) |
| 英文摘要 | Characterizing the errors in satellite-based precipitation estimation products is crucial for understanding their effects in hydrological applications. Six precipitation products derived from three algorithms are comprehensively evaluated against gauge data over mainland China from December 2006 to November 2010. These products include three satellite-only estimates: The Global Satellite Mapping of Precipitation Microwave-IR Combined Product (GSMaP_MVK), the Climate Prediction Center (CPC) MORPHing (CMORPH), and Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN), as well as their gauge-corrected counterparts: The GSMaP Gauge-calibrated Product (GSMaP_Gauge), bias-corrected CMORPH (CMORPH_CRT), and PERSIANN Climate Data Record (PERSIANN-CDR). Overall, the bias-correction procedures largely reduce various errors for the three groups of satellite-based precipitation products. GSMaP_Gauge produces better fractional coverage with the highest correlation (0.95) and the lowest RMSE (0.53 mm/day) but also high RB (15.77%). In general, CMORPH_CRT amounts are closer to the gauge reference. CMORPH shows better performance than GSMaP_MVK and PERSIANN with the highest CC (0.82) and the lowest RMSE (0.93 mm/day), but also presents a relatively high RB (-19.60%). In winter, all six satellite precipitation estimates have comparatively poor capability, with the IR-based PERSIANN_CDR exhibiting the closest performance to the gauge reference. Both satellite-only and gauge-corrected satellite products show poor capability in detecting occurrence of precipitation with a low POD (40%). © 2015 by the authors. |
| 学科主题 | Meteorology & Atmospheric Sciences |
| 类目[WOS] | Meteorology & Atmospheric Sciences |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:20160902014178 |
| 源URL | [http://ir.radi.ac.cn/handle/183411/39549]  |
| 专题 | 遥感与数字地球研究所_SCI/EI期刊论文_期刊论文 |
| 作者单位 | 1. State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, China 2. University of Chinese Academy of Sciences, Beijing, China 3. Key Laboratory of Beibu Gulf Environmental Evolution and Resources Utilization, Guangxi Teachers Education University, Ministry of Education, Nanning, China 4. School of Computer Science, University of Oklahoma, Norman 5.OK, United States 6. Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China 7. School of Meteorology, University of Oklahoma, Norman 8.OK, United States |
| 推荐引用方式 GB/T 7714 | Guo, Hao,Chen, Sheng,Bao, Anming,et al. Comprehensive evaluation of high-resolution satellite-based precipitation products over China[J]. Atmosphere,2016,7(1). |
| APA | Guo, Hao,Chen, Sheng,Bao, Anming,Hu, Junjun,Yang, Banghui,&Stepanian, Phillip M..(2016).Comprehensive evaluation of high-resolution satellite-based precipitation products over China.Atmosphere,7(1). |
| MLA | Guo, Hao,et al."Comprehensive evaluation of high-resolution satellite-based precipitation products over China".Atmosphere 7.1(2016). |
入库方式： OAI收割
来源：遥感与数字地球研究所
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