Conservative Remeshing for Adaptive Modelling of the Atmosphere

该项目将为创建下一代大气模型提供重要的一步，用于自适应网格天气和气候预报。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，比如热带气旋、温带天气锋面和化学物质的混合，但不需要大量增加计算机资源。这将改进区域气候预报和延长天气预报的时间。创建精确的自适应网格模型的一个重要环节是将解决方案从以前的网格转移到新适应的网格，而不会丢失或获得质量保守映射。在这个项目中，我们将实现许多不同的保守映射方法，并在全球大气的简化自适应网格模型上进行测试。其中一项测试将跟踪大气中的化学物质，并在物质变化最快的地方提供更高的分辨率。

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.