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An analysis of the soil moisture feedback on convective and stratiform precipitation

机译:对流和层状降水对土壤水分的反馈分析

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Land-atmosphere interactions in midlatitude continental regions are particularly active during the warm season. It is still unclear whether and under what circumstances these interactions may involve positive or negative feedbacks between soil moisture conditions and rainfall occurrence. Assessing such feedbacks is crucially important to a better understanding of the role of land surface conditions on the regional dynamics of the water cycle. This work investigates the relationship between soil moisture and subsequent precipitation at the daily time scale in a midlatitude continental region. Sounding data from 16 locations across the midwestern United States are used to calculate two indices of atmospheric instability-namely, the convective available potential energy (CAPE) and the convective inhibition (CIN). These indices are used to classify rainfall as convective or stratiform. Correlation analyses and uniformity tests are then carried out separately for these two rainfall categories, to assess the dependence of rainfall occurrence on antecedent soil moisture conditions, using simulated soil moisture values. The analysis suggests that most of the positive correlation observed between soil moisture and subsequent precipitation is due to the autocorrelation of long stratiform events. The authors found both areas with positive and areas with negative feedback on convective precipitation. This behavior is likely due to the contrasting effects of soil moisture conditions on convective phenomena through changes in surface temperature and the supply of water vapor to the overlying air column. No significant correlation is found between daily rainfall intensity and antecedent simulated soil moisture conditions either for convective or stratiform rainfall.
机译:在暖季期间,中纬度大陆地区的土地-大气相互作用特别活跃。尚不清楚这些相互作用是否以及在什么情况下会涉及土壤湿度条件和降雨发生之间的正反馈或负反馈。评估此类反馈对于更好地了解地表条件在水循环区域动态中的作用至关重要。这项工作调查了中纬度大陆地区每日时间尺度下土壤水分与后续降水之间的关系。来自美国中西部16个地点的测深数据用于计算大气不稳定性的两个指数,即对流有效势能(CAPE)和对流抑制(CIN)。这些指数用于将降雨分类为对流或层状。然后针对这两种降雨类别分别进行相关性分析和均匀性测试,以使用模拟的土壤水分值评估降雨发生对先前土壤水分条件的依赖性。分析表明,在土壤水分与随后的降水之间观察到的大多数正相关关系是由于长期层状事件的自相关。作者发现对流降水的正向和负向反馈都存在。这种行为很可能是由于土壤湿度条件通过对地表温度的变化以及向上方空气柱的水蒸气供应而对流现象产生的对比影响所致。在对流或层状降雨中,每日降雨强度与先前模拟的土壤湿度条件之间没有发现显着相关性。

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