Assessment of Four Satellite-Based Precipitation Products Over the Pearl River Basin, China
文献类型：期刊论文
| 作者 | Xia, Xiaolin1,2,3; Liu, Yangxiaoyue1,2,3; Jing, Wenlong1,2,3; Yao, Ling3,4 |
| 刊名 | IEEE ACCESS
 |
| 出版日期 | 2021 |
| 卷号 | 9页码:97729-97746 |
| ISSN号 | 2169-3536 |
| 关键词 | Meteorology Licenses Soil measurements Microwave measurement Chirp Microwave theory and techniques Volume measurement Accuracy assessment satellite precipitation product the Pearl River Basin extreme precipitation events |
| DOI | 10.1109/ACCESS.2021.3095239 |
| 通讯作者 | Jing, Wenlong(jingwl@lreis.ac.cn) |
| 英文摘要 | Precipitation is a major driven factor in water cycle and hydrological process. Since satellite sensors have been the main sources for acquiring globally continuous precipitation data, inter-comparison between satellite precipitation products (SPPs) from different sensors becomes increasingly significant, especially at daily or sub-daily scale and in regions suffering from frequent heavy rainfall and floods. This paper assessed the performance of four daily SPPs, including data from the Tropical Rainfall Measuring Mission (TRMM), Climate Hazards group Infrared Precipitation with Stations (CHIRPS), Climate prediction center MORPHmorphing technique (CMORPH) and Advanced SCATterometer (ASCAT) based Soil Moisture to RAINfall algorithm (SM2RAIN-ASCAT), using the ground gauge measurements from 2010 to 2014 over the Pearl River Basin (PRB), China. Accuracy of precipitation estimates and the capability in detecting rainy/non-rainy days and different precipitation categories were evaluated at both basin and station scale. The findings show that: 1) Performance of the SPPs varies temporally and spatially, and better performance can be observed in wet season and south-eastern part of the PRB, when or where precipitation is abundant. 2) All SPPs have poor performance in estimating extreme precipitation in the PRB; 3) Among the four SPPs, TRMM 3B42 exhibits the best performance in the PRB, followed by CMORPH, while CHIRPS performs the worst and is inapt for precipitation estimates in the PRB; SM2RAIN-ASCAT has quite high estimate errors, but it shows advantages against other products in detecting heavy precipitation events. Findings in this study are compared with recent studies conducted in other regions, and some limitations are discussed. This study provides significant reference for understanding the performance of daily SPPs in the PRB as well as areas with similar climate and surface condition. |
| WOS关键词 | HIGH-RESOLUTION SATELLITE ; RAIN-GAUGE ; SPATIOTEMPORAL PATTERN ; TRIPLE COLLOCATION ; MULTISATELLITE ; MICROWAVE ; PERFORMANCE ; RETRIEVALS ; TOPOGRAPHY ; MODEL |
| 资助项目 | National Natural Science Foundation of China[411801362] ; National Natural Science Foundation of China[41771380] ; Key Special Project for Introduced Talents Team of Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)[GML2019ZD0301] ; GDAS' Project of Science and Technology Development[2020GDASYL-20200103003] ; GDAS' Project of Science and Technology Development[2020GDASYL-20200103006] ; GDAS' Project of Science and Technology Development[2020GDASYL-20200104003] ; Guangdong Innovative and Entrepreneurial Research Team Program[2016ZT06D336] ; China Postdoctoral Science Foundation[2020M682628] ; National Postdoctoral Program for Innovative Talents, China[BX20200100] ; Open Research Fund of National Earth Observation Data Center[NODAOP2020002] |
| WOS研究方向 | Computer Science ; Engineering ; Telecommunications |
| 语种 | 英语 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| WOS记录号 | WOS:000673201700001 |
| 资助机构 | National Natural Science Foundation of China ; Key Special Project for Introduced Talents Team of Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) ; GDAS' Project of Science and Technology Development ; Guangdong Innovative and Entrepreneurial Research Team Program ; China Postdoctoral Science Foundation ; National Postdoctoral Program for Innovative Talents, China ; Open Research Fund of National Earth Observation Data Center |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/163733]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Jing, Wenlong |
| 作者单位 | 1.Guangdong Acad Sci, Guangdong Open Lab Geospatial Informat Technol &, Guangzhou 510070, Peoples R China 2.Guangdong Acad Sci, Guangzhou Inst Geog, Engn Technol Ctr Remote Sensing Big Data Applicat, Key Lab Guangdong Utilizat Remote Sensing & Geog, Guangzhou 510070, Peoples R China 3.Southern Marine Sci & Engn Guangdong Lab Guangzho, Guangzhou 511458, Peoples R China 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Xia, Xiaolin,Liu, Yangxiaoyue,Jing, Wenlong,et al. Assessment of Four Satellite-Based Precipitation Products Over the Pearl River Basin, China[J]. IEEE ACCESS,2021,9:97729-97746. |
| APA | Xia, Xiaolin,Liu, Yangxiaoyue,Jing, Wenlong,&Yao, Ling.(2021).Assessment of Four Satellite-Based Precipitation Products Over the Pearl River Basin, China.IEEE ACCESS,9,97729-97746. |
| MLA | Xia, Xiaolin,et al."Assessment of Four Satellite-Based Precipitation Products Over the Pearl River Basin, China".IEEE ACCESS 9(2021):97729-97746. |
入库方式： OAI收割
来源：地理科学与资源研究所
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