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首页> 外文期刊>International Journal of Climatology: A Journal of the Royal Meteorological Society >Hindcast skill improvement in Climate Forecast System (CFSv2) using modified cloud scheme
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Hindcast skill improvement in Climate Forecast System (CFSv2) using modified cloud scheme

机译:使用修改云方案的气候预测系统(CFSV2)的Hindcast技能改进

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>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°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°–95°E, 5°–35?N) 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 Ni?o3.4 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 m
机译: >两组CFSv2回顾性预测实验,检查模型的保真度印度夏季季风降雨预测的运营预测使用(ISMR)。第一个实验(EXP1)与模型的当前操作模式相同。第二个实验(EXP2)包括不同巨积参数化方案,修改的云微物质学方案和可变关键相对湿度的主要变化。这些变化已经显示了在自由运行模式下模型的季节性生存能力的增强。本研究通过结合上述重大变化进行了独家的Hindcast实验。析出的空间分布和ISMR年度周期幅度的空间分布显着改善。 Exp1中ISMR年度循环峰的低估增强了23%的EXP2。由于云和对流层温度梯度的更好模拟,最大降水点从赤道(EXP1)向北迁移到20°N(Exp2)。这些改进亦给海洋气氛耦合相互作用的所有其他方面都介绍,即行星级哈德利循环,海洋互动和季风扎切的大部分大部分。扩展印度季风降雨区(65°-95°E,5°-35Ω)的技能从EXP1的0.50增加到Exp2中的0.50%,而且对其他地区也是如此。 NI的技能of o3.4指数在Exp1中的0.58中增强了0.58%的Exp2。动态风剪的季风性能指数也显示了技能评分的浪涌。在所有变量中的季节性技能分数的显着改善清楚地表明了动态一致性,同时建立了季节性预测的exp2的优越性。这项工作将增加新的维度来开发一个新的m

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