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DOI | 10.1002/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 |
ISSN | 0899-8418 |
EISSN | 1097-0088 |
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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