DOI: 10.1002/2016JD024781
论文题名: Evaluation of reanalysis, of spatially interpolated and satellite remotely sensed precipitation data sets in central Asia
作者: Hu Z. ; Hu Q. ; Zhang C. ; Chen X. ; Li Q.
刊名: Journal of Geophysical Research: Atmospheres
ISSN: 2169897X
出版年: 2016
语种: 英语
英文关键词: Central Asia
; Evaluation
; Precipitation
; Reanalysis
; Satellite remotely sensed
; Spatially interpolated
英文摘要: The accuracy of any gridded climatic data sets is as important as their availability for regional climate and ecological studies. In this study, the accuracy of estimated precipitation in central Asia from three recently developed reanalysis data sets, Modern-Era Retrospective Analysis for Research and Applications (MERRA), ECMWF Interim Re-Analysis (ERA-Interim), and Climate Forecast System Reanalysis (CFSR), is evaluated through comparisons with observations from 399 stations during 1979-2010. An interpolated precipitation data set from station observations and a satellite remotely sensed data set, Tropical Rainfall Measuring Mission (TRMM) 3B42, are included in the evaluation. Major results show that MERRA data have higher accuracy than ERA-Interim and CFSR, although they all overestimate the observed precipitation especially in late spring and early summer months, suggesting errors in their ways of representing convective precipitation in that region. In comparison, the interpolated and satellite-sensed data, which provide no upper air information/data, have higher accuracy. While all these data sets have difficulty in describing stations' precipitation in mountainous areas, the reanalysis data sets have particularly large discrepancies. In examining the discrepancy in the reanalysis data, a Precipitation-Topography Partial Least Squares method is proposed to incorporate certain terrain/geographic effects on precipitation in mapping the gridded data to the station locations for comparison with the observation. The outcome suggests that the estimated station precipitation by this new method is closer to the observed than the method without considering those factors. The improvement by this method and by possible other methods taking into account different details/aspects of the influences indicates that it is only meaningful to compare the accuracy or relevance of gridded data sets to station observations in a relative sense among various data sets. ©2016. American Geophysical Union. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/62957
Appears in Collections: 影响、适应和脆弱性 气候减缓与适应
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作者单位: State Key Laboratory of Desert and Oasis Ecology Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences Urumqi China; Department of Geography Hong Kong Baptist University Kowloon Hong Kong; School of Natural Resources and Department of Earth and Atmospheric Sciences University of Nebraska-Lincoln Lincoln, Nebraska USA; College of Life Science Shihezi University Shihezi China; National Meteorological Information Center China Meteorological Administration Beijing China
Recommended Citation:
Hu Z.,Hu Q.,Zhang C.,et al. Evaluation of reanalysis, of spatially interpolated and satellite remotely sensed precipitation data sets in central Asia[J]. Journal of Geophysical Research: Atmospheres,2016-01-01