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首页> 外文期刊>International Journal of Climatology: A Journal of the Royal Meteorological Society >Projected changes in the annual cycle of precipitation over central Asia by CMIP5 models
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Projected changes in the annual cycle of precipitation over central Asia by CMIP5 models

机译:CMIP5模型对中亚降水年度循环循环的预计变化

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摘要

estimated based on the historical and representative concentration pathway 8.5 (RCP8.5) experiments from 25 models of the Coupled Model Intercomparison Project phase 5. Compared with the Global Precipitation Climatology Project observations, the historical (1979-1999) experiments showed that most models can capture the migration of rainfall centres, but remarkable discrepancies exist in the location and intensity of rainfall centres between simulations and observations. Considering the skill scores of precipitation and pattern correlations of circulations, which are closely related to the precipitation for each month, for the 25 models, the four best models (e.g., CanESM2, CMCC-CMS, MIROC5 and MPI-ESM-LR) with relatively good performance were selected. The four models' ensemble mean indicated that the migration and location of the precipitation centres were better reproduced, except the intensity of the centres was overestimated, compared with the result that only took the precipitation into consideration. Based on the four best models' ensemble mean under RCP8.5 scenarios, precipitation was projected to increase dramatically over most of the CA region in the boreal cold seasons (November, December, January, February, March and April) and May, with the maximum in December at the end of 21st century (2079-2099), and several positive centres were located in the Pamirs Plateau, the Tianshan Mountains and the northern Himalayas. The precipitation changes were weak in the boreal warm seasons (June, July, August, September and October), with a dry centre located in the Pamirs Plateau and a wet centre in the northern Himalayas. These projected changes can be directly attributed to the overlay of anomalous moisture convergence and evaporation, and other possible mechanisms of dynamic and thermodynamic factors need to be further elucidated.
机译:根据历史和代表性浓度途径8.5(RCP8.5)实验从25型耦合模型互相诊断项目阶段5.与全球降水性能项目观察相比,历史(1979-1999)实验表明,大多数模型都可以捕获降雨中心的迁移,但在模拟和观察之间的降雨中心的位置和强度存在显着差异。考虑到循环的降水和模式相关性的技能分数,与每个月的降水密切相关,25种型号,四种最佳模型(例如,CANESM2,CMCC-CMS,MIROC5和MIROC5和MPI-ESM-LR)。选择了相对良好的表现。四个模型的合奏均值表示,降水中心的迁移和位置更好地复制,除了中心高估的强度超长,结果仅考虑降水量。基于RCP8.5场景下的四个最佳模型的集合均值,预计降水量在北方寒冷季节(11月,12月,1月,2月,3月和4月)和5月份的大部分CA地区都会出现降水量以大幅增加在21世纪末的12月最多(2079-2099),几个积极中心位于帕米尔高原,天山山脉和喜马拉雅北部。北方温暖季节(六月,7月,8月,9月和10月)中,降水变化薄弱,干燥中心位于帕米尔高原和喜马拉雅北部的湿中心。这些预计的变化可以直接归因于异常水分收敛和蒸发的覆盖,并且需要进一步阐明动态和热力学因素的其他可能的机制。

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