Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/joc.5879 |
Downscaling satellite-derived daily precipitation products with an integrated framework | |
Chen, Fengrui1; Gao, Yongqi2,3; Wang, Yiguo2; Qin, Fen1; Li, Xi4 | |
2019-03-15 | |
发表期刊 | INTERNATIONAL JOURNAL OF CLIMATOLOGY
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ISSN | 0899-8418 |
EISSN | 1097-0088 |
出版年 | 2019 |
卷号 | 39期号:3页码:1287-1304 |
文章类型 | Article |
语种 | 英语 |
国家 | Peoples R China; Norway |
英文摘要 | Spatially downscaling satellite precipitation products have been performed on annual and monthly precipitation. Accurate downscaling on daily precipitation remains a challenge due to the limitation of the downscaling assumption, the large spatial discontinuity of daily precipitation, and the relatively poor quality of satellite-derived daily precipitation product. In this study, an integrated downscaling-fusion framework was proposed and used to downscale satellite-derived daily precipitation. First, a spatio-temporal downscaling scheme is applied to produce preliminary downscaled daily precipitation. The accuracy of the derived preliminary results is then boosted by merging with daily gauge observations using an ensemble fusion method. The performance of the proposed framework was tested and evaluated by downscaling the Integrated Multi-satellite Retrievals for Global Precipitation Measurement (IMERG) daily precipitation data from 0.1 to 0.01 degrees over eastern and central China for the period of 2015-2016. The results showed that (a) the downscaling scheme accurately mapped the spatio-temporal variation in daily precipitation, and the preliminary downscaled results perfectly maintained the accuracy of the original IMERG data; (b) the fused results were much more accurate than the original IMERG data, decreasing the root-mean-square errors (RMSEs) by 22, 10, and 18% at daily, monthly, and annual timescales, respectively, for the whole period; and (c) the fused daily precipitation data considerably strengthened the detection of rain/no rain area compared with the original IMERG daily precipitation data, with a 17% reduction in the inconsistency index. |
英文关键词 | daily precipitation downscaling fusion IMERG integrated framework |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000461606600010 |
WOS关键词 | RAIN-GAUGE ; ANALYSIS TMPA ; TRMM ; RADAR ; CHINA ; REGRESSION ; ALGORITHM ; IMERG |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/37540 |
专题 | 气候变化 |
作者单位 | 1.Henan Univ, Minist Educ, Key Lab Geospatial Technol Middle & Lower Yellow, Collaborat Innovat Ctr Yellow River Civilizat, Kaifeng, Peoples R China; 2.Bjerknes Ctr Climate Res, Nansen Environm & Remote Sensing Ctr, Bergen, Norway; 3.Chinese Acad Sci, Inst Atmospher Phys, Nansen Zhu Int Res Ctr, Beijing, Peoples R China; 4.Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan, Hubei, Peoples R China |
推荐引用方式 GB/T 7714 | Chen, Fengrui,Gao, Yongqi,Wang, Yiguo,et al. Downscaling satellite-derived daily precipitation products with an integrated framework[J]. INTERNATIONAL JOURNAL OF CLIMATOLOGY,2019,39(3):1287-1304. |
APA | Chen, Fengrui,Gao, Yongqi,Wang, Yiguo,Qin, Fen,&Li, Xi.(2019).Downscaling satellite-derived daily precipitation products with an integrated framework.INTERNATIONAL JOURNAL OF CLIMATOLOGY,39(3),1287-1304. |
MLA | Chen, Fengrui,et al."Downscaling satellite-derived daily precipitation products with an integrated framework".INTERNATIONAL JOURNAL OF CLIMATOLOGY 39.3(2019):1287-1304. |
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