GSTDTAP  > 气候变化
DOI10.1002/joc.5478
Hindcast skill improvement in Climate Forecast System (CFSv2) using modified cloud scheme
Pokhrel, Samir1; Hazra, Anupam1; Chaudhari, Hemantkumar S.1; Saha, Subodh K.1; Paulose, Febin2; Krishna, Sujith1; Krishna, Phani Murli1; Rao, Suryachandra A.1
2018-06-15
发表期刊INTERNATIONAL JOURNAL OF CLIMATOLOGY
ISSN0899-8418
EISSN1097-0088
出版年2018
卷号38期号:7页码:2994-3012
文章类型Article
语种英语
国家India
英文摘要

Two sets of CFSv2 retrospective forecast experiments are performed to check the model's fidelity for operational forecast usage for the prediction of Indian summer monsoon rainfall (ISMR). The first experiment (Exp1) is identical to the present operational mode of the model. The second experiment (Exp2) includes major changes in terms of the different cumulus parameterization scheme, modified cloud microphysics scheme and the variable critical relative humidity. These changes have already shown enhancement in the seasonal viability of the model in the free-run mode. This study has carried out exclusive hindcast experiments by combining the above mentioned major changes. There is a marked improvement in the spatial distribution of the precipitation and the amplitude of the annual cycle of ISMR. The underestimation of the peak of the annual cycle of ISMR in Exp1 is enhanced by 23% in Exp2. Because of better simulations of clouds and tropospheric temperature gradient, the point of maximum precipitation has migrated northwards from equator (Exp1) to 20 degrees N (Exp2). These improvements also impress upon all the other aspect of the ocean-atmosphere coupled interaction, namely planetary-scale Hadley circulation, air-sea interactions and most of the facets of monsoon teleconnections. The skill of extended Indian monsoon rainfall region (65 degrees-95 degrees E, 5 degrees-35N) has increased from 0.50 in Exp1 to 0.67 in Exp2 and the same holds true for other regions as well. The skill of Nino3.4 index enhances from 0.58 in Exp1 to 0.67 in Exp2. The dynamical wind shear based monsoon performance indices also show the surge in the skill score. The significant improvement of seasonal skill scores across all the variables clearly shows the dynamical consistency and at the same time establishes the superiority of the Exp2 for seasonal forecast. This work will add new dimension to develop a new genre of monsoon forecasting model.


领域气候变化
收录类别SCI-E
WOS记录号WOS:000439792300007
WOS关键词INDIAN-SUMMER MONSOON ; SEA-SURFACE TEMPERATURE ; NCEP CFSV2 ; INTERANNUAL VARIABILITY ; SEASONAL PREDICTION ; MODEL SIMULATIONS ; EASTERLY JET ; RAINFALL ; OCEAN ; ENSO
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/36630
专题气候变化
作者单位1.Indian Inst Trop Meteorol, Pune 411008, Maharashtra, India;
2.Cochin Univ Sci & Technol, Kochi, Kerala, India
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Pokhrel, Samir,Hazra, Anupam,Chaudhari, Hemantkumar S.,et al. Hindcast skill improvement in Climate Forecast System (CFSv2) using modified cloud scheme[J]. INTERNATIONAL JOURNAL OF CLIMATOLOGY,2018,38(7):2994-3012.
APA Pokhrel, Samir.,Hazra, Anupam.,Chaudhari, Hemantkumar S..,Saha, Subodh K..,Paulose, Febin.,...&Rao, Suryachandra A..(2018).Hindcast skill improvement in Climate Forecast System (CFSv2) using modified cloud scheme.INTERNATIONAL JOURNAL OF CLIMATOLOGY,38(7),2994-3012.
MLA Pokhrel, Samir,et al."Hindcast skill improvement in Climate Forecast System (CFSv2) using modified cloud scheme".INTERNATIONAL JOURNAL OF CLIMATOLOGY 38.7(2018):2994-3012.
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