Conservative Remeshing for Adaptive Modelling of the Atmosphere

Lead Research Organisation: University of Reading
Department Name: Meteorology

Abstract

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.

Publications

10 25 50
 
Description I identified and described some fundamental problems with a numerical method that the Met Office were considering for their next generation prediction model and as a result they re-focused their search for the optimal numerical method to use in their next model. The numerical method that they abandoned as a result of my research was the C-grid for arbitrary meshes. See http://www.geosci-model-dev.net/7/779/2014/
First Year Of Impact 2014
Sector Aerospace, Defence and Marine
Impact Types Policy & public services

 
Title AtmosFOAM 
Description A suite of numerical models and methods for atmospheric modelling using emerging numerical techniques 
Type Of Material Computer model/algorithm 
Year Produced 2014 
Provided To Others? Yes  
Impact Papers and collaborative code development with students 
URL https://github.com/AtmosFOAM/