Dust storms in the Sahara and Sahel: Nowcasting and its application to understanding dust emission and transport

撒哈拉和萨赫勒地区的沙尘暴：临近预报及其在了解沙尘排放和输送方面的应用

• 批准号: 2748825
• 金额: --
• 依托单位: University of Leeds
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2748825
• 关键词: Dust; storms; Sahara; Sahel; Nowcasting

"Dust storms are a dramatic weather hazard, and dust is an essential component of earth's climate system, affecting radiation and coupling with the carbon cycle. The inherent difficulties in modelling dust storms mean there is a need and opportunity for dust predictions based directly on forward extrapolations of observations, i.e. "nowcasts", a technique that is very successfully used for short-range prediction of convective storms. This project will develop a tool for dust nowcasting, and then use this tool to fill key gaps in our understanding of dust emissions and the Earth's dust cycle, informing development of models.The project will focus on the Sahara and Sahel, due to their importance for the global dust cycle, vulnerable populations and the high quality data available from Meteosat, which is in geostationary orbit. We will first apply data science techniques to forward extrapolate satellite retrievals of airborne dust to generate nowcast predictions and evaluate these to understand variations in skill. Using the newly developed tool, combined with reanalyses, and other remotely-sensed products we will generate new understanding of sources, and their variability, as well as new quantification of the role of different meteorological mechanisms in dust uplift. If time allows, and as a possible application of the above findings, we will apply the above approach to investigate dust emissions from other important regions, such as the Middle East desert and the Gobi desert.

尘埃雨是一种巨大的天气危险，灰尘是地球气候系统的重要组成部分，影响辐射和与碳循环的耦合。建模尘埃雨的固有困难意味着直接基于直接进行尘埃的预测和机会，基于远期的观察结果，即简短地使用了一个远景。象征，然后使用此工具来填补我们对灰尘排放和地球尘埃周期的关键空白，告知模型的开发。该项目将集中在撒哈拉沙漠和萨赫勒上，因为它们对全球尘埃周期的重要性，脆弱的人群，易受伤害的数据以及来自MeteoSat的高质量数据，这是在地理上播放的，我们将使用Arimer tore satere cortiqual toreclation tore satellient satelly satelly satelly satelly satelly satell。预测和评估这些方法，以了解新开发的工具，再加上重新分析的产品，以及其他遥远的产品，我们将对来源及其可变性产生新的理解，以及对不同时间范围的尘埃范围的新量化，以上述范围的范围，以上述范围的范围。戈壁沙漠。