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Modeling soil moisture-precipitation feedback in the Sahel: Importance of spatial scale versus convective parameterization

机译:萨赫勒地区土壤水分 - 降水反馈模拟:空间尺度与对流参数化的重要性

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摘要

Feedback between soil moisture and precipitation influence climate variability in semiarid regions. However, serious concerns exist about the ability of coarse-scale global atmospheric models to depict one key aspect of the feedback loop, namely the sensitivity of daytime convection to soil moisture. Here we compare regional simulations using a single model, run at different spatial resolutions, and with convective parameterizations switched on or off against Sahelian observations. Convection-permitting simulations at 4 and 12 km capture the observed relationships between soil moisture and convective triggering, emphasizing the importance of surface-driven mesoscale dynamics. However, with the inclusion of the convection scheme at 12 km, the behavior of the model fundamentally alters, switching from negative to positive feedback. Similar positive feedback is found in 9 out of 10 Regional Climate Models run at 50 km. These results raise questions about the accuracy of the feedback in regional models based on current convective parameterizations.
机译:土壤水分和降水之间的反馈影响半干旱地区的气候变异性。然而,人们对粗略的全球大气模型描述反馈回路的一个关键方面的能力存在严重的担忧,即白天对流对土壤水分的敏感性。在这里,我们比较了使用单个模型,以不同的空间分辨率运行,以及根据萨赫勒观测打开或关闭对流参数设置的区域模拟。在4 km和12 km处的对流允许模拟捕获了观测到的土壤湿度与对流触发之间的关系,强调了表面驱动的中尺度动力学的重要性。但是,加上12 km处的对流方案,该模型的行为从根本上发生了变化,从负反馈切换为正反馈。在50公里的10个区域气候模型中,有9个获得了类似的积极反馈。这些结果对基于当前对流参数化的区域模型中反馈的准确性提出了疑问。

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