DOI: 10.1002/2017MS001014
Scopus记录号: 2-s2.0-85027844288
论文题名: Implementation and calibration of a stochastic multicloud convective parameterization in the NCEP Climate Forecast System (CFSv2)
作者: Goswami B ; B ; , Khouider B ; , Phani R ; , Mukhopadhyay P ; , Majda A ; J
刊名: Journal of Advances in Modeling Earth Systems
ISSN: 19422466
出版年: 2017
卷: 9, 期: 3 起始页码: 1721
结束页码: 1739
语种: 英语
英文关键词: Boundary layers
; Calibration
; Climate models
; Climatology
; Forecasting
; Humidity control
; Stochastic systems
; CFSv2
; Comparative analysis
; Convective parameterization
; Cumulus parameterization
; Global climate model
; implementation
; Madden-Julian oscillation
; National centers for environmental predictions
; Stochastic models
英文摘要: A comparative analysis of fourteen 5 year long climate simulations produced by the National Centers for Environmental Predictions (NCEP) Climate Forecast System version 2 (CFSv2), in which a stochastic multicloud (SMCM) cumulus parameterization is implemented, is presented here. These 5 year runs are made with different sets of parameters in order to figure out the best model configuration based on a suite of state-of-the-art metrics. This analysis is also a systematic attempt to understand the model sensitivity to the SMCM parameters. The model is found to be resilient to minor changes in the parameters used implying robustness of the SMCM formulation. The model is found to be most sensitive to the midtropospheric dryness parameter (MTD) and to the stratiform cloud decay timescale (τ30). MTD is more effective in controlling the global mean precipitation and its distribution while τ30 has more effect on the organization of convection as noticed in the simulation of the Madden-Julian oscillation (MJO). This is consistent with the fact that in the SMCM formulation, midtropospheric humidity controls the deepening of convection and stratiform clouds control the backward tilt of tropospheric heating and the strength of unsaturated downdrafts which cool and dry the boundary layer and trigger the propagation of organized convection. Many other studies have also found midtropospheric humidity to be a key factor in the capacity of a global climate model to simulate organized convection on the synoptic and intraseasonal scales. © 2017. The Authors. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/75758
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: Department of Mathematics and Statistics, University of Victoria, Victoria, BC, Canada; Indian Institute of Tropical Meteorology, Pune, India; Department of Mathematics and Center for Atmosphere and Ocean Sciences, Courant Institute for Mathematical Sciences, New York University, New York, NY, United States; Center for Prototype Climate Models, New York University-Abu Dhabi, Abu Dhabi, United Arab Emirates
Recommended Citation:
Goswami B,B,, Khouider B,et al. Implementation and calibration of a stochastic multicloud convective parameterization in the NCEP Climate Forecast System (CFSv2)[J]. Journal of Advances in Modeling Earth Systems,2017-01-01,9(3)