Rainfall Spatial Estimations: A Review from Spatial Interpolation to Multi-Source Data Merging
文献类型：期刊论文
| 作者 | Hu, Qingfang1; Li, Zhe2,3; Wang, Leizhi1; Huang, Yong1; Wang, Yintang1; Li, Lingjie1 |
| 刊名 | WATER
 |
| 出版日期 | 2019-03-20 |
| 卷号 | 11期号:3页码:30 |
| 关键词 | rainfall spatial interpolation radar satellite atmospheric reanalysis rainfall merging |
| ISSN号 | 2073-4441 |
| DOI | 10.3390/w11030579 |
| 通讯作者 | Hu, Qingfang(huqf@nhri.com) |
| 英文摘要 | Rainfall is one of the most basic meteorological and hydrological elements. Quantitative rainfall estimation has always been a common concern in many fields of research and practice, such as meteorology, hydrology, and environment, as well as being one of the most important research hotspots in various fields nowadays. Due to the development of space observation technology and statistics, progress has been made in rainfall quantitative spatial estimation, which has continuously deepened our understanding of the water cycle across different space-time scales. In light of the information sources used in rainfall spatial estimation, this paper summarized the research progress in traditional spatial interpolation, remote sensing retrieval, atmospheric reanalysis rainfall, and multi-source rainfall merging since 2000. However, because of the extremely complex spatiotemporal variability and physical mechanism of rainfall, it is still quite challenging to obtain rainfall spatial distribution with high quality and resolution. Therefore, we present existing problems that require further exploration, including the improvement of interpolation and merging methods, the comprehensive evaluation of remote sensing, and the reanalysis of rainfall data and in-depth application of non-gauge based rainfall data. |
| WOS关键词 | MULTISATELLITE PRECIPITATION PRODUCTS ; SATELLITE PRECIPITATION ; HIGH-RESOLUTION ; CLIMATE DATA ; ERA-INTERIM ; INCORPORATING ELEVATION ; WEIGHTED REGRESSION ; HYDROLOGICAL MODEL ; BAYESIAN-ANALYSIS ; GLOBAL RAINFALL |
| 资助项目 | National Key Research and Development Program of China[2016YFC0400902] ; National Key Research and Development Program of China[2016YFC0400910] ; National Natural Science Foundation of China[51479118] ; Consulting and Research Program of the Chinese Academy of Engineering[2015-ZD-07-02] ; Public Welfare Industry Scientific Research Special Fund of the Ministry of Water Resources[201501014] |
| WOS研究方向 | Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:000464546700006 |
| 出版者 | MDPI |
| 资助机构 | National Key Research and Development Program of China ; National Natural Science Foundation of China ; Consulting and Research Program of the Chinese Academy of Engineering ; Public Welfare Industry Scientific Research Special Fund of the Ministry of Water Resources |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/48192]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Hu, Qingfang |
| 作者单位 | 1.Nanjing Hydraul Res Inst, State Key Lab Hydrol Water Resources & Hydraul En, Nanjing 210029, Jiangsu, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Resources, Key Lab Terr Water Cycle & Surface Proc, Beijing 100101, Peoples R China 3.Univ Wisconsin, Dept Civil & Environm Engn, Madison, WI 53706 USA 4.Anhui Inst Meteorol Sci, Anhui Prov Key Lab Atmospher Sci & Satellite Remo, Hefei 230031, Anhui, Peoples R China |
| 推荐引用方式 GB/T 7714 | Hu, Qingfang,Li, Zhe,Wang, Leizhi,et al. Rainfall Spatial Estimations: A Review from Spatial Interpolation to Multi-Source Data Merging[J]. WATER,2019,11(3):30. |
| APA | Hu, Qingfang,Li, Zhe,Wang, Leizhi,Huang, Yong,Wang, Yintang,&Li, Lingjie.(2019).Rainfall Spatial Estimations: A Review from Spatial Interpolation to Multi-Source Data Merging.WATER,11(3),30. |
| MLA | Hu, Qingfang,et al."Rainfall Spatial Estimations: A Review from Spatial Interpolation to Multi-Source Data Merging".WATER 11.3(2019):30. |
入库方式： OAI收割
来源：地理科学与资源研究所
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