globalchange  > 气候变化事实与影响
DOI: 10.1175/JCLI-D-13-00014
Scopus记录号: 2-s2.0-84896980144
论文题名:
Evaluation of seven different atmospheric reanalysis products in the arctic
作者: Lindsay R.; Wensnahan M.; Schweiger A.; Zhang J.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2014
卷: 27, 期:7
起始页码: 2588
结束页码: 2606
语种: 英语
Scopus关键词: Atmospheric temperature ; Computer simulation ; Data processing ; Forecasting ; Atmospheric reanalysis ; Data assimilation methods ; Department of Energy ; National center for atmospheric researches ; National centers for environmental predictions ; Research and application ; Retrospective analysis ; Surface temperatures ; Ice ; air temperature ; climate prediction ; data assimilation ; forecasting method ; ice thickness ; marine atmosphere ; precipitation (climatology) ; wind velocity ; Arctic
英文摘要: Atmospheric reanalyses depend on a mix of observations and model forecasts. In data-sparse regions such as the Arctic, the reanalysis solution is more dependent on the model structure, assumptions, and data assimilation methods than in data-rich regions. Applications such as the forcing of ice-ocean models are sensitive to the errors in reanalyses. Seven reanalysis datasets for the Arctic region are compared over the 30-yr period 1981-2010: National Centers for Environmental Prediction (NCEP)-National Center for Atmospheric Research Reanalysis 1 (NCEP-R1) and NCEP-U.S. Department of Energy Reanalysis 2 (NCEP-R2), Climate Forecast System Reanalysis (CFSR), Twentieth-Century Reanalysis (20CR), Modern-Era Retrospective Analysis for Research and Applications (MERRA), ECMWF Interim Re-Analysis (ERA-Interim), and Japanese 25-year Reanalysis Project (JRA-25). Emphasis is placed on variables not observed directly including surface fluxes and precipitation and their trends. The monthly averaged surface temperatures, radiative fluxes, precipitation, and wind speed are compared to observed values to assess how well the reanalysis data solutions capture the seasonal cycles. Three models stand out as being more consistent with independent observations: CFSR, MERRA, and ERA-Interim. A coupled ice-ocean model is forced with four of the datasets to determine how estimates of the ice thickness compare to observed values for each forcing and how the total ice volume differs among the simulations. Significant differences in the correlation of the simulated ice thickness with submarine measurements were found, with the MERRA products giving the best correlation (R 5 0.82). The trend in the total ice volume in September is greatest with MERRA (-4.1×103km3 decade-1) and least with CFSR (-2.7×103km3 decade-1). © American Meteorological Society.
资助项目: NASA, National Aeronautics and Space Administration ; NCAR, National Aeronautics and Space Administration ; NOAA, National Aeronautics and Space Administration ; NSF, National Aeronautics and Space Administration
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/51379
Appears in Collections:气候变化事实与影响

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作者单位: Polar Science Center, Applied Physics Laboratory, University of Washington, Seattle, WA, United States

Recommended Citation:
Lindsay R.,Wensnahan M.,Schweiger A.,et al. Evaluation of seven different atmospheric reanalysis products in the arctic[J]. Journal of Climate,2014-01-01,27(7)
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