DOI: 10.1002/2016MS000819
Scopus记录号: 2-s2.0-85018251678
论文题名: Revised cloud processes to improve the mean and intraseasonal variability of Indian summer monsoon in climate forecast system: Part 1
作者: Abhik S ; , Krishna R ; P ; M ; , Mahakur M ; , Ganai M ; , Mukhopadhyay P ; , Dudhia J
刊名: Journal of Advances in Modeling Earth Systems
ISSN: 19422466
出版年: 2017
卷: 9, 期: 2 起始页码: 1002
结束页码: 1029
语种: 英语
英文关键词: Atmospheric thermodynamics
; Climate change
; Climate models
; Clouds
; Forecasting
; Precipitation (meteorology)
; Tropical engineering
; Boreal summer intraseasonal oscillation
; Climate forecasts
; Convective parameterization
; Indian summer monsoon
; Intraseasonal variability
; Large-scale precipitation
; Seasonal mean precipitation
; Tropical clouds
; Weather forecasting
; atmospheric convection
; cloud microphysics
; monsoon
; parameterization
; precipitation intensity
; seasonal variation
; summer
; tropical environment
; vertical distribution
; weather forecasting
英文摘要: The National Centre for Environmental Prediction (NCEP) Climate Forecast System (CFS) is being used for operational monsoon prediction over the Indian region. Recent studies indicate that the moist convective process in CFS is one of the major sources of uncertainty in monsoon predictions. In this study, the existing simple cloud microphysics of CFS is replaced by the six-class Weather Research Forecasting (WRF) single moment (WSM6) microphysical scheme. Additionally, a revised convective parameterization is employed to improve the performance of the model in simulating the boreal summer mean climate and intraseasonal variability over the Indian summer monsoon (ISM) region. The revised version of the model (CFSCR) exhibits a potential to improve shortcomings in the seasonal mean precipitation distribution relative to the standard CFS (CTRL), especially over the ISM region. Consistently, notable improvements are also evident in other observed ISM characteristics. These improvements are found to be associated with a better simulation of spatial and vertical distributions of cloud hydrometeors in CFSCR. A reasonable representation of the subgrid-scale convective parameterization along with cloud hydrometeors helps to improve the convective and large-scale precipitation distribution in the model. As a consequence, the simulated low-frequency boreal summer intraseasonal oscillation (BSISO) exhibits realistic propagation and the observed northwest-southeast rainband is well reproduced in CFSCR. Additionally, both the high and low-frequency BSISOs are better captured in CFSCR. The improvement of low and high-frequency BSISOs in CFSCR is shown to be related to a realistic phase relationship of clouds. © 2017. The Authors. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/75768
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: Indian Institute of Tropical Meteorology (IITM), Pune, India; Now at School of Earth, Atmosphere and Environment, Monash University, Victoria, Australia; Now also at Australian Research Council's (ARC) Centre of Excellence for Climate System Science, University of New South Wales, Sydney, NSW, Australia; Mesoscale and Microscale Meteorology Laboratory, National Center for Atmospheric Research, Boulder, United States
Recommended Citation:
Abhik S,, Krishna R,P,et al. Revised cloud processes to improve the mean and intraseasonal variability of Indian summer monsoon in climate forecast system: Part 1[J]. Journal of Advances in Modeling Earth Systems,2017-01-01,9(2)