DOI: 10.1175/JCLI-D-17-0121.1
Scopus记录号: 2-s2.0-85040576638
论文题名: Assessment of MERRA-2 land surface energy flux estimates
作者: Drapera C.S. ; Reichle R.H. ; Koster R.D.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2018
卷: 31, 期: 2 起始页码: 671
结束页码: 691
语种: 英语
英文关键词: Atmosphere
; Hydrologic cycle
; Land surface
; Reanalysis data
; Surface fluxes
Scopus关键词: Budget control
; Earth atmosphere
; Interfacial energy
; NASA
; Soil moisture
; Hydrologic cycles
; Land surface
; Land surface energy fluxes
; Precipitation correction
; Reanalysis
; Research and application
; Retrospective analysis
; Surface flux
; Surface measurement
; air temperature
; energy budget
; energy flux
; hydrological cycle
; land surface
; latent heat flux
; sensible heat flux
; surface energy
; surface flux
英文摘要: In the Modern-Era Retrospective Analysis for Research and Applications version 2 (MERRA-2) system the land is forced by replacing the model-generated precipitation with observed precipitation before it reaches the surface. This approach is motivated by the expectation that the resultant improvements in soil moisture will lead to improved land surface latent heating (LH). Here aspects of the MERRA-2 land surface energy budget and 2-m air temperatures T2m are assessed. For global land annual averages, MERRA-2 appears to overestimate the LH (by 5Wm-2), the sensible heating (by 6Wm-2), and the downwelling shortwave radiation (by 14Wm-2) while underestimating the downwelling and upwelling (absolute) longwave radiation (by 10-15Wm-2 each). These results differ only slightly from those for NASA's previous reanalysis, MERRA. Comparison to various gridded reference datasets over boreal summer (June-August) suggests that MERRA-2 has particularly large positive biases ( > 20Wm-2) where LH is energy limited and that these biases are associated with evaporative fraction biases rather than radiation biases. For time series of monthly means during boreal summer, the globally averaged anomaly correlations Ranom with reference data were improved from MERRA to MERRA-2, for LH (from 0.39 to 0.48 vs Global Land Evaporation Amsterdam Model data) and the daily maximum T2m (from 0.69 to 0.75 vs Climatic Research Unit data). In regions where T2m is particularly sensitive to the precipitation corrections (including the central United States, the Sahel, and parts of South Asia), the changes in the T2m Ranom are relatively large, suggesting that the observed precipitation influenced the T2m performance. © 2018 American Meteorological Society. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/111749
Appears in Collections: 气候减缓与适应
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作者单位: GESTAR, Universities Space Research Association, Greenbelt, MD, United States; NASA Global Modeling and Assimilation Office, Greenbelt, MD, United States
Recommended Citation:
Drapera C.S.,Reichle R.H.,Koster R.D.. Assessment of MERRA-2 land surface energy flux estimates[J]. Journal of Climate,2018-01-01,31(2)