DOI: 10.1002/2017JD027188
Scopus记录号: 2-s2.0-85044549650
论文题名: CAUSES: Attribution of Surface Radiation Biases in NWP and Climate Models near the U.S. Southern Great Plains
作者: Van Weverberg K. ; Morcrette C.J. ; Petch J. ; Klein S.A. ; Ma H.-Y. ; Zhang C. ; Xie S. ; Tang Q. ; Gustafson W.I. ; Jr. ; Qian Y. ; Berg L.K. ; Liu Y. ; Huang M. ; Ahlgrimm M. ; Forbes R. ; Bazile E. ; Roehrig R. ; Cole J. ; Merryfield W. ; Lee W.-S. ; Cheruy F. ; Mellul L. ; Wang Y.-C. ; Johnson K. ; Thieman M.M.
刊名: Journal of Geophysical Research: Atmospheres
ISSN: 2169897X
出版年: 2018
卷: 123, 期: 7 起始页码: 3612
结束页码: 3644
语种: 英语
英文关键词: attribution
; CAUSES
; clouds
; radiation
; warm bias
Scopus关键词: climate modeling
; cloud cover
; cloud radiative forcing
; convective cloud
; net radiation
; precipitation (climatology)
; shortwave radiation
; troposphere
; Great Plains
; United States
英文摘要: Many Numerical Weather Prediction (NWP) and climate models exhibit too warm lower tropospheres near the midlatitude continents. The warm bias has been shown to coincide with important surface radiation biases that likely play a critical role in the inception or the growth of the warm bias. This paper presents an attribution study on the net radiation biases in nine model simulations, performed in the framework of the CAUSES project (Clouds Above the United States and Errors at the Surface). Contributions from deficiencies in the surface properties, clouds, water vapor, and aerosols are quantified, using an array of radiation measurement stations near the Atmospheric Radiation Measurement Southern Great Plains site. Furthermore, an in-depth analysis is shown to attribute the radiation errors to specific cloud regimes. The net surface shortwave radiation is overestimated in all models throughout most of the simulation period. Cloud errors are shown to contribute most to this overestimation, although nonnegligible contributions from the surface albedo exist in most models. Missing deep cloud events and/or simulating deep clouds with too weak cloud radiative effects dominate in the cloud-related radiation errors. Some models have compensating errors between excessive occurrence of deep cloud but largely underestimating their radiative effect, while other models miss deep cloud events altogether. Surprisingly, even the latter models tend to produce too much and too frequent afternoon surface precipitation. This suggests that rather than issues with the triggering of deep convection, cloud radiative deficiencies are related to too weak convective cloud detrainment and too large precipitation efficiencies. ©2018 Crown copyright. This article is published with the permission of the Controller of HMSO and the Queen's Printer for Scotland. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/114095
Appears in Collections: 气候减缓与适应
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作者单位: Met Office, Exeter, United Kingdom; Lawrence Livermore National Laboratory, Livermore, CA, United States; Pacific Northwest National Laboratory, Richland, WA, United States; European Centre for Medium-Range Weather Forecasts, Reading, United Kingdom; CNRM, Meteo-France/CNRS, Toulouse, France; Environment and Climate Change Canada, Victoria, BC, Canada; Laboratoire de Meteorologie Dynamique, Paris, France; Academia Sinica, Taipei, Taiwan; Brookhaven National Laboratory, Upton, NY, United States; Science Systems and Applications, Inc, Norfolk, VA, United States
Recommended Citation:
Van Weverberg K.,Morcrette C.J.,Petch J.,et al. CAUSES: Attribution of Surface Radiation Biases in NWP and Climate Models near the U.S. Southern Great Plains[J]. Journal of Geophysical Research: Atmospheres,2018-01-01,123(7)