DOI: 10.1175/JCLI-D-17-0862.1
Scopus记录号: 2-s2.0-85054079548
论文题名: Assessing the coupled influences of clouds on the atmospheric energy and water cycles in reanalyses with a-train observations
作者: Daloz A.S. ; Nelson E. ; L'Ecuyer T. ; Rapp A.D. ; Sun L.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2018
卷: 31, 期: 20 起始页码: 8241
结束页码: 8264
语种: 英语
英文关键词: Climatology
; Clouds
; Radiative fluxes
; Satellite observations
Scopus关键词: Climatology
; Clouds
; Earth (planet)
; Weather forecasting
; European centre for medium-range weather forecasts
; Global distribution
; Precipitating clouds
; Radiative efficiency
; Radiative fluxes
; Research and application
; Retrospective analysis
; Satellite observations
; Precipitation (meteorology)
英文摘要: The lack of complete knowledge concerning the complex interactions among clouds, circulation, and climate hinders our ability to simulate the Earth's climate correctly. This study contributes to a broader understanding of the implications of cloud and precipitation biases on the representation of coupled energy and water exchanges by bringing together a suite of cloud impact parameters (CIPs). These parameters measure the coupled impact of cloud systems on regional energy balance and hydrology by simultaneously capturing the absolute strength of the cloud albedo and greenhouse effects, the relative importance of these two radiative effects, and the efficiency of precipitating clouds to radiatively heat the atmosphere and cool the surface per unit of heating through rain production. Global distribution of these CIPs is derived using satellite observations from CloudSat and used to evaluate energy and water cycle coupling in four reanalysis datasets [both versions of the Modern-Era Retrospective Analysis for Research and Applications (MERRA and MERRA-2); the European Centre for Medium-Range Weather Forecasts (ECMWF) interim reanalysis (ERA-Interim); and the Japanese 55-year Reanalysis (JRA-55)]. The results show that the reanalyses provide a more accurate representation of the three radiation-centric parameters than the radiative efficiencies. Of the four reanalyses, MERRA and ERA-Interim provide the best overall representation of the different cloud processes but can still show significant biases. JRA-55 exhibits some clear deficiencies in many parameters, while MERRA-2 seems to introduce biases that were not evident in MERRA. © 2018 American Meteorological Society. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/110637
Appears in Collections: 影响、适应和脆弱性 气候变化事实与影响
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作者单位: Space and Science Engineering Center, University of Wisconsin-Madison, Madison, WI, United States; Center for Climatic Research, University of Wisconsin-Madison, Madison, WI, United States; Atmospheric and Oceanic Sciences Department, University of Wisconsin-Madison, Madison, WI, United States; Department of Atmospheric Sciences, Texas A and M University, College Station, TX, United States
Recommended Citation:
Daloz A.S.,Nelson E.,L'Ecuyer T.,et al. Assessing the coupled influences of clouds on the atmospheric energy and water cycles in reanalyses with a-train observations[J]. Journal of Climate,2018-01-01,31(20)