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首页> 外文期刊>International Journal of Climatology: A Journal of the Royal Meteorological Society >Evaluation of soil moisture-precipitation feedback at different time scales over Asia
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Evaluation of soil moisture-precipitation feedback at different time scales over Asia

机译:在亚洲不同时间尺度的土壤湿度降水反馈评估

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摘要

The soil moisture-precipitation (SM-P) feedback process can affect the water and energy cycles at local to regional scale, subsequently affecting the water distribution in space and time. This study investigates SM-P feedback at different time scales over Asia during boreal summer season based on the covariation between SM and P. In this article the positive (negative) feedback means positive (negative) statistical correlations between SM-P. This is based on the statistical relationship and do not reflect physical process associated between SM and P. The Global Land Data Assimilation System (GLDAS) data, Climate Forecast System Reanalysis (CFSR) data and regional climate model, version 4 (RegCM4) simulations are adopted for analysis in this study. The results indicate a negative SM-P relationship at a seasonal time scale over mid-high latitudes of the study area whereas a positive but weak and spatial scattered correlation pattern is observed at the interannual time scale. A positive relationship is diagnosed over India, Indochina, and southeast China regions at seasonal (though weak) and interannual time scales. The positive and/or negative SM-P correlation patterns observed at different time scales depends on the memory associated with seasonal precipitation and soil moisture. The strength of the SM-P relationship seems to be influenced by the threshold behaviour of soil moisture, especially at the interannual time scale. This indicates that beyond a certain threshold in soil moisture anomalies likely to have significant influence on precipitation.
机译:土壤水分沉淀(SM-P)反馈过程可以影响当地到区域规模的水和能量循环,随后影响空间和时间的水分布。本研究根据SM和P之间的协变为北夏季,在亚洲的不同时间尺度上调查了SM-P反馈。在SM和P之间的协变量中,阳性(负)反馈意味着SM-P之间的正(负)统计相关性。这是基于统计关系,不反映SM和P之间相关的物理过程。全球土地数据同化系统(GLDAS)数据,气候预测系统再分析(CFSR)数据和区域气候模型,版本4(REGCM4)模拟在本研究中采用分析。结果表明,在研究区域的中高纬度地区的季节性时间尺度下表明了负SM-P关系,而在持续的时间尺度上观察到正但弱和空间散射的相关模式。积极的关系是在印度,印度,季节性(虽然弱)和持续时间尺度的季节性的诊断。在不同时间尺度观察到的正和/或负SM-P相关图案取决于与季节降水和土壤水分相关的存储器。 SM-P的强度似乎受土壤水分的阈值行为影响,特别是在际时间尺度上受到影响。这表明土壤水分的一定阈值超过了可能对沉淀有显着影响的异常。

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