GSTDTAP
DOI10.1002/joc.6423
Sensitivity of climate models in relation to the "pool of inhibited cloudiness" over South of the Bay of Bengal
Roy, Kumar1,3; Mukhopadhyay, Parthasarathi1; Murali Krishna, Ravuri Phani1,4; Ganai, Malay1; Mahakur, Mata1; Narayan Rao, Thota2; Nair, Anish K. M.2; Ramakrishna, Surireddi Satya Venkata Siva3
2019-12-12
发表期刊INTERNATIONAL JOURNAL OF CLIMATOLOGY
ISSN0899-8418
EISSN1097-0088
出版年2019
文章类型Article;Early Access
语种英语
国家India; U Arab Emirates
英文摘要

Realistic simulation of cloud variability and rainfall by the coupled models still remains a challenge particularly over the Asian Summer Monsoon (ASM). The simulation of the "pool of inhibited cloudiness" (hereafter referred to as PIC) and associated cloud variability have been analysed in the historical run of 26 models which participated in the Coupled Model Intercomparison Project Phase 5 (CMIP5) and it is shown that the current state of the art general circulation models (GCMs) still have difficulties in properly simulating the PIC. The pool covers an area greater than 1 million km(2) between 3 degrees-13 degrees N and 77 degrees-90 degrees E over the southwest Bay of Bengal (BoB); persisting throughout the ASM and interestingly it is surrounded by the deep convective region. The majority of the models could not simulate cloud variability over the ASM. The performance of National Centre for Environmental Prediction (NCEP) Climate Forecast System (CFSv2) version 2.0, which is being used for operational monsoon prediction over the Indian region, is also tested to evaluate its fidelity in capturing PIC. The moist convective process in the default CFSv2 is found to be one of the major sources of uncertainty in its monsoon prediction. In this study, evaluation of the default CFSv2 (CTRL) and suites of modified CFSv2 have been carried out. The default version of CFSv2 has the simplified Arakawa Schubert (SAS) as convection scheme and Zhao and Carr (ZC) as microphysics. In another modification, the SAS is changed to revised simplified Arakawa Schubert (RSAS) keeping the microphysics unchanged. Further, a more physically based cloud scheme (WRF Single Moment 6-class microphysics-WSM6) is used with SAS and RSAS for comparison of simulation of PIC. Among the CMIP5 models, ACESS-1-0, GFDL-CM3, HadGEM2-CC, HadGEM2-ES are able to represent the PIC reasonably well. CFSCR has shown an improved fidelity in comparison to the CTRL, CTRL-WSM and RSAS and other CMIP5 models. The impact of cloud microphysics in CTRL-WSM and CFSCR appears to play an important role in the simulation of the PIC.


英文关键词cloud and convection process parameterization fidelity of CMIP5 and CFSv2 models pool of inhibited cloudiness
领域气候变化
收录类别SCI-E
WOS记录号WOS:000502154700001
WOS关键词INDIAN-SUMMER MONSOON ; SYSTEM VERSION 2 ; INTRASEASONAL OSCILLATIONS ; SIMULATION ; VARIABILITY ; PRECIPITATION ; CMIP5 ; PARAMETERIZATION ; PREDICTABILITY ; IMPACT
WOS类目Meteorology & Atmospheric Sciences
WOS研究方向Meteorology & Atmospheric Sciences
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/225513
专题环境与发展全球科技态势
作者单位1.Indian Inst Trop Meteorol, Parameterizat & Anal Grp, Pune, Maharashtra, India;
2.Natl Atmospher Res Lab, Dept Space, Gadanki, India;
3.Andhra Univ, Dept Meteorol & Oceanog, Coll Sci & Technol, Visakhapatnam, Andhra Pradesh, India;
4.New York Univ Abu Dhabi, Ctr Prototype Climate Modelling, Abu Dhabi, U Arab Emirates
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GB/T 7714
Roy, Kumar,Mukhopadhyay, Parthasarathi,Murali Krishna, Ravuri Phani,et al. Sensitivity of climate models in relation to the "pool of inhibited cloudiness" over South of the Bay of Bengal[J]. INTERNATIONAL JOURNAL OF CLIMATOLOGY,2019.
APA Roy, Kumar.,Mukhopadhyay, Parthasarathi.,Murali Krishna, Ravuri Phani.,Ganai, Malay.,Mahakur, Mata.,...&Ramakrishna, Surireddi Satya Venkata Siva.(2019).Sensitivity of climate models in relation to the "pool of inhibited cloudiness" over South of the Bay of Bengal.INTERNATIONAL JOURNAL OF CLIMATOLOGY.
MLA Roy, Kumar,et al."Sensitivity of climate models in relation to the "pool of inhibited cloudiness" over South of the Bay of Bengal".INTERNATIONAL JOURNAL OF CLIMATOLOGY (2019).
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