globalchange  > 气候减缓与适应
DOI: 10.1175/JCLI-D-16-0630.1
Scopus记录号: 2-s2.0-85022335921
论文题名:
Evaluation of precipitable water vapor from four satellite products and four reanalysis datasets against GPS measurements on the Southern Tibetan Plateau
作者: Wang Y.; Yang K.; Pan Z.; Qin J.; Chen D.; Lin C.; Chen Y.; Lazhu; Tang W.; Han M.; Lu N.; Wu H.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2017
卷: 30, 期:15
起始页码: 5699
结束页码: 5713
语种: 英语
Scopus关键词: Climate models ; Global positioning system ; Infrared devices ; Infrared instruments ; Radiometers ; Satellite imagery ; Satellites ; Complex terrains ; Model evaluation/performance ; Reanalysis ; Regional effects ; Satellite observations ; Water vapor
英文摘要: The southern Tibetan Plateau (STP) is the region in which water vapor passes from South Asia into the Tibetan Plateau (TP). The accuracy of precipitable water vapor (PWV) modeling for this region depends strongly on the quality of the available estimates of water vapor advection and the parameterization of land evaporation models. While climate simulation is frequently improved by assimilating relevant satellite and reanalysis products, this requires an understanding of the accuracy of these products. In this study, PWV data from MODIS infrared and near-infrared measurements, AIRS Level-2 and Level-3, MERRA, ERA-Interim, JRA-55, and NCEP final reanalysis (NCEP-Final) are evaluated against ground-based GPS measurements at nine stations over the STP, which covers the summer monsoon season from 2007 to 2013. The MODIS infrared product is shown to underestimate water vapor levels by more than 20% (1.84 mm), while the MODIS near-infrared product overestimates them by over 40% (3.52 mm). The AIRS PWV product appears to be most useful for constructing high-resolution and high-quality PWV datasets over the TP; particularly the AIRS Level-2 product has a relatively low bias (0.48 mm) and RMSE (1.83 mm) and correlates strongly with the GPS measurements (R = 0.90). The four reanalysis datasets exhibit similar performance in terms of their correlation coefficients (R = 0.87-0.90), bias (0.72-1.49 mm), and RMSE (2.19-2.35 mm). The key finding is that all the reanalyses have positive biases along the PWV seasonal cycle, which is linked to the well-known wet bias over the TP of current climate models. © 2017 American Meteorological Society.
资助项目: NSFC, National Natural Science Foundation of China ; NSFC, National Natural Science Foundation of China ; CAS, Chinese Academy of Sciences
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/48779
Appears in Collections:气候减缓与适应
气候变化与战略

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作者单位: Key Laboratory of Tibetan Environment Changes and Land Surface Processes, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China; Department of Earth System Science, Tsinghua University, Beijing, China; Center for Excellence in Tibetan Plateau Earth Sciences, Chinese Academy of Sciences, Beijing, China; Regional Climate Group, Department of Earth Sciences, University of Gothenburg, Gothenburg, Sweden; State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China; Chinese Academy of Meteorological Sciences, Beijing, China

Recommended Citation:
Wang Y.,Yang K.,Pan Z.,et al. Evaluation of precipitable water vapor from four satellite products and four reanalysis datasets against GPS measurements on the Southern Tibetan Plateau[J]. Journal of Climate,2017-01-01,30(15)
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