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DOI10.1002/joc.5670
Assessing reliability of precipitation data over the Mekong River Basin: A comparison of ground-based, satellite, and reanalysis datasets
Chen, Aifang; Chen, Deliang; Azorin-Molina, Cesar
通讯作者Chen, DL (通讯作者)
发表日期2018
ISSN0899-8418
EISSN1097-0088
起始页码4314
结束页码4334
卷号38期号:11
英文摘要Accurate precipitation data are the basis for hydro-climatological studies. As a highly populated river basin, with the biggest inland fishery in Southeast Asia, freshwater dynamics is extremely important for the Mekong River Basin (MB). This study focuses on evaluating the reliability of existing gridded precipitation datasets both from satellite and reanalysis, with a ground observations-based gridded precipitation dataset as the reference. Two satellite products (Tropical Rainfall Measuring Mission [TRMM] and the Precipitation Estimation from Remote Sensing Information using an Artificial Neural NetworkClimate Data Record [PERSIANN-CDR]), as well as three reanalysis products (Modern-Era Retrospective analysis for Research and Applications [MERRA2], the European Centre for Medium-Range Weather Forecasts interim reanalysis [ERA-Interim], and the Climate Forecast System Reanalysis [CFSR]) were compared with the Asian PrecipitationHighly Resolved Observational Data Integration Towards Evaluation of Water Resources (APHRODITE) over the MB. The APHRODITE was chosen as the reference for the comparison because it was developed based on ground observations and has also been selected as reference data in previous studies. Results show that most of the assessed datasets are able to capture the major climatological characteristics of precipitation in the MB for the 10-year study period (1998-2007). Generally, both satellite data (TRMM and PERSIANN-CDR) show higher reliability than reanalysis products at both spatial and temporal scales across the MB, with the TRMM outperforming when compared to the PERSIANN-CDR. For the reanalysis products, MERRA2 is more reliable in terms of temporal variability, but with some underestimation of precipitation. The other two reanalysis products CFSR and ERA-Interim are relatively unreliable due to large overestimations. CFSR is better positioned to capture the spatial variability of precipitation, while ERA-Interim shows inconsistent spatial patterns but more realistically resembles the daily precipitation probability. These findings have practical implications for future hydro-climatological studies.
关键词RAIN-GAUGE OBSERVATIONSHYDROLOGICAL CYCLEWAVELET ANALYSISTIBETAN PLATEAUDENSE NETWORKANALYSIS TMPATIME-SERIESPRODUCTSCLIMATEPERFORMANCE
英文关键词Mekong River Basin; precipitation evaluation; rain gauge observations; reanalysis data; satellite data
语种英语
WOS研究方向Meteorology & Atmospheric Sciences
WOS类目Meteorology & Atmospheric Sciences
WOS记录号WOS:000443683600019
来源期刊INTERNATIONAL JOURNAL OF CLIMATOLOGY
来源机构中国科学院青藏高原研究所
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/259143
推荐引用方式
GB/T 7714
Chen, Aifang,Chen, Deliang,Azorin-Molina, Cesar. Assessing reliability of precipitation data over the Mekong River Basin: A comparison of ground-based, satellite, and reanalysis datasets[J]. 中国科学院青藏高原研究所,2018,38(11).
APA Chen, Aifang,Chen, Deliang,&Azorin-Molina, Cesar.(2018).Assessing reliability of precipitation data over the Mekong River Basin: A comparison of ground-based, satellite, and reanalysis datasets.INTERNATIONAL JOURNAL OF CLIMATOLOGY,38(11).
MLA Chen, Aifang,et al."Assessing reliability of precipitation data over the Mekong River Basin: A comparison of ground-based, satellite, and reanalysis datasets".INTERNATIONAL JOURNAL OF CLIMATOLOGY 38.11(2018).
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