DOI: 10.1002/joc.5670
论文题名: Assessing reliability of precipitation data over the Mekong River Basin: A comparison of ground-based, satellite, and reanalysis datasets
作者: Chen A. ; Chen D. ; Azorin-Molina C.
刊名: International Journal of Climatology
ISSN: 8998418
出版年: 2018
卷: 38, 期: 11 起始页码: 4314
结束页码: 4334
语种: 英语
英文关键词: Mekong River Basin
; precipitation evaluation
; rain gauge observations
; reanalysis data
; satellite data
Scopus关键词: Clock and data recovery circuits (CDR circuits)
; Data integration
; Neural networks
; Petroleum reservoir evaluation
; Rain gages
; Reliability
; Remote sensing
; Rivers
; Satellites
; Watersheds
; Weather forecasting
; European centre for medium-range weather forecasts
; Mekong river basins
; Rain gauges
; Reanalysis
; Remote sensing information
; Satellite data
; Spatial and temporal scale
; Tropical rainfall measuring missions
; Rain
; comparative study
; data set
; ground-based measurement
; inland fishery
; precipitation assessment
; probability
; raingauge
; reliability analysis
; satellite imagery
; TRMM
; Mekong Basin
; Southeast Asia
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 Network—Climate 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 Precipitation—Highly 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. © 2018 Royal Meteorological Society Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/116803
Appears in Collections: 气候减缓与适应
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作者单位: Regional Climate Group, Department of Earth Sciences, University of Gothenburg, Gothenburg, Sweden; Key Laboratory of Tibetan Environment Changes and Land Surface Processes, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China; CAS Center for Excellence in Tibetan Plateau Earth Sciences, Beijing, China
Recommended Citation:
Chen A.,Chen D.,Azorin-Molina C.. Assessing reliability of precipitation data over the Mekong River Basin: A comparison of ground-based, satellite, and reanalysis datasets[J]. International Journal of Climatology,2018-01-01,38(11)