DOI: 10.1002/2015MS000490
Scopus记录号: 2-s2.0-84959496097
论文题名: An improved hindcast approach for evaluation and diagnosis of physical processes in global climate models
作者: Ma H ; -Y ; , Chuang C ; C ; , Klein S ; A ; , Lo M ; -H ; , Zhang Y ; , Xie S ; , Zheng X ; , Ma P ; -L ; , Zhang Y ; , Phillips T ; J
刊名: Journal of Advances in Modeling Earth Systems
ISSN: 19422466
出版年: 2015
卷: 7, 期: 4 起始页码: 1810
结束页码: 1827
语种: 英语
英文关键词: Aerosols
; Atmospheric aerosols
; Atmospheric humidity
; Atmospheric temperature
; Moisture
; Oceanography
; Precipitation (meteorology)
; Sea ice
; Soil moisture
; Surface waters
; GCM
; Hindcasts
; Initial conditions
; Model evaluation
; Transpose-AMIP
; Climate models
; air temperature
; climate modeling
; data assimilation
; general circulation model
; global climate
; hindcasting
; parameterization
; sea ice
; sea surface temperature
; soil moisture
英文摘要: We present an improved procedure of generating initial conditions (ICs) for climate model hindcast experiments with specified sea surface temperature and sea ice. The motivation is to minimize errors in the ICs and lead to a better evaluation of atmospheric parameterization's performance in the hindcast mode. We apply state variables (horizontal velocities, temperature, and specific humidity) from the operational analysis/reanalysis for the atmospheric initial states. Without a data assimilation system, we apply a two-step process to obtain other necessary variables to initialize both the atmospheric (e.g., aerosols and clouds) and land models (e.g., soil moisture). First, we nudge only the model horizontal velocities toward operational analysis/reanalysis values, given a 6 h relaxation time scale, to obtain all necessary variables. Compared to the original strategy in which horizontal velocities, temperature, and specific humidity are nudged, the revised approach produces a better representation of initial aerosols and cloud fields which are more consistent and closer to observations and model's preferred climatology. Second, we obtain land ICs from an off-line land model simulation forced with observed precipitation, winds, and surface fluxes. This approach produces more realistic soil moisture in the land ICs. With this refined procedure, the simulated precipitation, clouds, radiation, and surface air temperature over land are improved in the Day 2 mean hindcasts. Following this procedure, we propose a "Core" integration suite which provides an easily repeatable test allowing model developers to rapidly assess the impacts of various parameterization changes on the fidelity of modeled cloud-associated processes relative to observations. © 2015. The Authors. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/75951
Appears in Collections: 影响、适应和脆弱性 气候变化与战略
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作者单位: Program for Climate Model Diagnosis and Intercomparison, Lawrence Livermore National Laboratory, Livermore, CA, United States; Department of Atmospheric Sciences, National Taiwan University, Taipei, Taiwan; Pacific Northwest National Laboratory, Richland, Washington, United States
Recommended Citation:
Ma H,-Y,, Chuang C,et al. An improved hindcast approach for evaluation and diagnosis of physical processes in global climate models[J]. Journal of Advances in Modeling Earth Systems,2015-01-01,7(4)