Conservative Remeshing for Adaptive Mesh Modelling of the Atmosphere

大气自适应网格建模的保守网格重整

• 批准号: NE/H002707/1
• 负责人: Glenn Carver
• 金额: $ 1.22万
• 依托单位: University of Cambridge
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2010
• 资助国家: 英国
• 起止时间: 2010 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=NE%2FH002707%2F1
• 关键词: Conservative; Remeshing; Adaptive; Mesh; Modelling

This project will provide a vital step in creating next generation models of the atmosphere for weather and climate forecasting with adaptive meshes. Adaptive meshes mean that higher resolution can be used only where it is really needed, such as for tropical cyclones, extratropical weather fronts and mixing of chemical species, but without huge increases in computer resources. This will lead to improved regional climate predictions and extended weather forecasts. A vital link in creating accurate adaptive mesh models is transferring the solution from a previous mesh to a newly adapted mesh without losing or gaining mass - conservative mapping. During this project we will implement a number of different methods for conservative mapping and test them on simplified adaptive mesh models of the global atmosphere. One of the tests will be tracking chemical species around the atmosphere and providing higher resolution where the species change most rapidly.

该项目将为创建具有自适应网格的下一代天气和气候预报大气模型迈出重要一步。自适应网格意味着只有在真正需要的地方才能使用更高的分辨率，例如热带气旋、温带天气锋面和化学物质的混合，而不会大幅增加计算机资源。这将导致改进区域气候预测和扩展天气预报。建立精确的自适应网格模型的一个重要环节是在不丢失或获得质量守恒映射的情况下将解从先前的网格转移到新的自适应网格。在这个项目中，我们将实现一些不同的方法，保守映射和测试他们的简化自适应网格模型的全球大气。其中一项测试将跟踪大气中的化学物种，并在物种变化最快的地方提供更高的分辨率。