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首页> 外文期刊>Journal of Geophysical Research, D. Atmospheres: JGR >Modeling haboob dust storms in large-scale weather and climate models
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Modeling haboob dust storms in large-scale weather and climate models

机译:在大规模天气和气候模型中模拟哈伯沙尘暴

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Recent field campaigns have shown that haboob dust storms, formed by convective cold pool outflows, contribute a significant fraction of dust uplift over the Sahara and Sahel in summer. However, in situ observations are sparse and haboobs are frequently concealed by clouds in satellite imagery. Furthermore, most large-scale weather and climate models lack haboobs, because they do not explicitly represent convection. Here a 1 year long model run with explicit representation of convection delivers the first full seasonal cycle of haboobs over northern Africa. Using conservative estimates, the model suggests that haboobs contribute one fifth of the annual dust-generating winds over northern Africa, one fourth between May and October, and one third over the western Sahel during this season. A simple parameterization of haboobs has recently been developed for models with parameterized convection, based on the downdraft mass flux of convection schemes. It is applied here to two model runs with different horizontal resolutions and assessed against the explicit run. The parameterization succeeds in capturing the geographical distribution of haboobs and their seasonal cycle over the Sahara and Sahel. It can be tuned to the different horizontal resolutions, and different formulations are discussed with respect to the frequency of extreme events. The results show that the parameterization is reliable and may solve a major and long-standing issue in simulating dust storms in large-scale weather and climate models.
机译:最近的野外运动表明,对流冷池外流形成的哈布沙尘暴在夏季对撒哈拉和萨赫勒地区扬尘的贡献很大。但是,在卫星图像中,原位观测稀疏,且常被云层掩盖。此外,大多数大规模的天气和气候模型都没有阴影,因为它们没有明确表示对流。在这里,以对流为代表的长达​​1年的模型运行,提供了北非哈布族的第一个完整的季节性周期。使用保守的估计,该模型表明,在本季节中,霍布斯占非洲北部每年产生尘埃的风的五分之一,五月至十月之间占四分之一,而萨赫勒西部占三分之一。最近,基于对流方案的向下气流质量通量,为具有参数化对流的模型开发了简单的haboobs参数化方法。在此将其应用于具有不同水平分辨率的两个模型运行,并根据显式运行进行评估。参数化成功捕获了哈布族的地理分布及其在撒哈拉和萨赫勒地区的季节性周期。可以将其调整为不同的水平分辨率,并针对极端事件的频率讨论不同的公式。结果表明,该参数化方法是可靠的,并且可以解决在大型天气和气候模型中模拟沙尘暴的重大而长期的问题。

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