TEMPEST: Testing and Evaluating Model Predictions of European Storms
Lead Research Organisation:
University of Oxford
Department Name: Oxford Physics
Abstract
See text supplied by lead RO (Reading) in jointly submitted Je-S form
People |
ORCID iD |
Tim Palmer (Principal Investigator) |
Publications

Dawson A
(2012)
Simulating regime structures in weather and climate prediction models REGIMES IN WEATHER AND CLIMATE MODELS
in Geophysical Research Letters

Dawson A
(2014)
Simulating weather regimes: impact of model resolution and stochastic parameterization
in Climate Dynamics
Description | This will be given by project PI, Dr Len Shaffrey |
Exploitation Route | The key findings of our project relate to the simulation of weather regimes and the importance of resolution and/or stochastic representations of small-scale processes. Our findings will be relevant to those studying regional climate change, seasonal or decadal forecasting. |
Sectors | Education,Energy,Environment,Government, Democracy and Justice |
URL | http://link.springer.com/article/10.1007/s00382-014-2238-xhttp://onlinelibrary.wiley.com/doi/10.1029/2012GL053284/full |
Description | Our research findings have been used to provide evidence of the need for a) developing high resolution models of the atmosphere for studies of climate change but b) that the very high wavenumber parts of the model can be represented by stochastic terms. This motivates the use of concepts in inexact computing for next generation weather and climate models. |
First Year Of Impact | 2016 |
Sector | Environment,Government, Democracy and Justice |