DOI: 10.1175/JCLI-D-11-00004.1
Scopus记录号: 2-s2.0-84863338090
论文题名: Evaluation of the reanalysis products from GSFC, NCEP, and ECMWF using flux tower observations
作者: Decker M. ; Brunke M.A. ; Wang Z. ; Sakaguchi K. ; Zeng X. ; Bosilovich M.G.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2012
卷: 25, 期: 6 起始页码: 1916
结束页码: 1944
语种: 英语
Scopus关键词: Air temperature
; Atmosphere-land interaction
; Climate forecasts
; European centre for medium-range weather forecasts
; Flux towers
; Goddard Space Flight Center
; Land data assimilation systems
; Land surface models
; Model evaluation/performance
; Reanalysis
; Research and application
; Retrospective analysis
; Sensible heat
; Sensible heat flux
; Short-wave radiation
; Standard deviation
; Surface flux
; Surface radiation
; Time-scales
; Wind speed
; Mean square error
; Space flight
; Surface measurement
; Weather forecasting
; Atmospheric temperature
; air temperature
; atmosphere-biosphere interaction
; data assimilation
; error analysis
; flux measurement
; land surface
; latent heat flux
; performance assessment
; precipitation (climatology)
; sensible heat flux
; shortwave radiation
; timescale
; weather forecasting
; wind velocity
英文摘要: Reanalysis products produced at the various centers around the globe are utilized formany different scientific endeavors, including forcing land surface models and creating surface flux estimates. Here, flux tower observations of temperature, wind speed, precipitation, downward shortwave radiation, net surface radiation, and latent and sensible heat fluxes are used to evaluate the performance of various reanalysis products [NCEP-NCAR reanalysis and Climate Forecast System Reanalysis (CFSR) from NCEP; 40-yr European Centre for Medium-Range Weather Forecasts (ECMWF) Re-Analysis (ERA-40) and ECMWF Interim Re-Analysis (ERA-Interim) from ECMWF; and Modern-Era Retrospective Analysis for Research and Applications (MERRA) and Global Land Data Assimilation System (GLDAS) from the Goddard Space Flight Center (GSFC)]. To combine the biases and standard deviation of errors from the separate stations, a ranking systemis utilized. It is found thatERA-Interimhas the lowest overall bias in 6-hourly air temperature, followed closely by MERRA and GLDAS. The variability in 6-hourly air temperature is again most accurate in ERA-Interim. ERA-40 is found to have the lowest overall bias in latent heat flux, followed closely by CFSR, while ERA-40 also has the lowest 6-hourly sensible heat bias. MERRA has the second lowest and is close to ERA-40. The variability in 6-hourly precipitation is best captured byGLDAS and ERA-Interim, and ERA-40 has the lowest precipitation bias. It is also found that at monthly time scales, the bias term in the reanalysis products are the dominant cause of the mean square errors, while at 6-hourly and daily time scales the dominant contributor to the mean square errors is the correlation term. Also, it is found that the hourly CFSR data have discontinuities present due to the assimilation cycle, while the hourly MERRA data do not contain these jumps. © 2012 American Meteorological Society. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/52516
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Atmospheric Sciences, The University of Arizona, Tucson, AZ, United States; Climate Change Research Centre, University of New South Wales, Sydney, NSW, Australia; Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, MD, United States
Recommended Citation:
Decker M.,Brunke M.A.,Wang Z.,et al. Evaluation of the reanalysis products from GSFC, NCEP, and ECMWF using flux tower observations[J]. Journal of Climate,2012-01-01,25(6)