Multi-scale analysis of satellite, reanalysis and muti-source precipitation estimates over the Tibetan Plateau
文献类型：期刊论文
| 作者 | Feng, Yuqiao4; Qi, Youcun4; Chen, Deliang3; Li, Donghuan4; Li, Zhe2; Xu, Xiaofeng1 |
| 刊名 | ATMOSPHERIC RESEARCH
 |
| 出版日期 | 2024-10-15 |
| 卷号 | 309页码:107484 |
| 关键词 | Tibetan Plateau Spatiotemporal variability of precipitation Satellite precipitation estimates Reanalysis precipitation estimates Multi-scale comparison |
| DOI | 10.1016/j.atmosres.2024.107484 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | Due to the important hydrological and meteorological significance, the performance of different kinds of precipitation products for the Tibetan Plateau (TP) has been evaluated in previous studies. However, the performance of the products on a high spatial-temporal scale has not been clearly shown. Based on the Chinese Meteorological Administration (CMA) ground rain gauge observations during 2017-2018 over the TP, this paper analyzes the multi-scale performance of four satellite-based datasets (IMERG_Uncal, IMERG_Cal, GSMaP_MVK, and GSMaP_Gauge), two reanalysis datasets (ERA5 and ERA5-L), and one multi-source merged dataset (CMFD) for different precipitation intensities with a special attention to the characterization of spatiotemporal variability of heavy precipitation. Firstly, this study examines how the quality of precipitation products varies with time scale and precipitation intensity. CMFD generally shows the best quality and has the most stable quality at all temporal scales. Satellite products perform better in summer while reanalysis products show better results in cold seasons. Another significant issue is the impact of gauge-based calibration. GSMaP_Gauge with daily-scale gauge calibration is often considered to outperform other products. However, our study finds that GSMaP_Gauge is problematic at smaller spatiotemporal scales, especially in capturing heavy precipitation. The long-term performance of multi spatiotemporal scale comparison of different precipitation products is the focus of this study, which can help with their application and improvement. |
| WOS关键词 | GAUGE OBSERVATIONS ; HIGH-RESOLUTION ; MULTISATELLITE ; MICROWAVE ; GSMAP |
| WOS研究方向 | Meteorology & Atmospheric Sciences |
| WOS记录号 | WOS:001302255100001 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/207917]  |
| 专题 | 陆地水循环及地表过程院重点实验室_外文论文 |
| 通讯作者 | Qi, Youcun; Li, Donghuan |
| 作者单位 | 1.Colorado State Univ, Dept Elect & Comp Engn, Ft Collins, CO 80521 USA 2.Univ Gothenburg, Dept Earth Sci, Gothenburg, Sweden 3.Univ Chinese Acad Sci, Beijing, Peoples R China 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China 5.China Meteorol Adm, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Feng, Yuqiao,Qi, Youcun,Chen, Deliang,et al. Multi-scale analysis of satellite, reanalysis and muti-source precipitation estimates over the Tibetan Plateau[J]. ATMOSPHERIC RESEARCH,2024,309:107484. |
| APA | Feng, Yuqiao,Qi, Youcun,Chen, Deliang,Li, Donghuan,Li, Zhe,&Xu, Xiaofeng.(2024).Multi-scale analysis of satellite, reanalysis and muti-source precipitation estimates over the Tibetan Plateau.ATMOSPHERIC RESEARCH,309,107484. |
| MLA | Feng, Yuqiao,et al."Multi-scale analysis of satellite, reanalysis and muti-source precipitation estimates over the Tibetan Plateau".ATMOSPHERIC RESEARCH 309(2024):107484. |
入库方式： OAI收割
来源：地理科学与资源研究所
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