UK - PhD Studentship on Numerical Weather Prediction of High-Impact Weather, University of Reading

At the Data Assimilation Research Centre, University of Reading (UK)
a PhD studentship on “Numerical Weather Prediction of High-Impact Weather” is available. Please see details below.

Supervisors: Dr Stefano Migliorini, Dr Ross Bannister, Prof. Alan O`Neill, Dr Mark Dixon, and Sue Ballard

Location: Department of Meteorology, University of Reading

Improving predictions of hazardous weather is currently one of the main challenges for operational meteorological centres. The motivation is that the occurrence of ”significant” weather events is expected to increase in the near future due to climate change. Such phenomena often impact on very localised regions (as in the case of the Boscastle flood in 2004) and current operational models do not have enough spatial resolution for predicting them reliably and with the required accuracy. With the advent of a nonhydrostatic version of the Met Office Unified Model there is potential for increasing the resolution of the model in a meaningful way. To this end, the Met Office is currently experimenting with 4 km and 1.5 km spatial resolution versions of the Unified Model over a limited spatial region. At such resolutions (particularly at 1.5 km) it is possible to resolve convection and avoid relying on its sub-grid scale parametrization. High resolution observations, such as radar or geostationary satellite measurements can also be properly modelled and assimilated in the model. This can potentially lead to improvements in forecasts of severe convective storms, which may lead to hazardous events such as flooding.

Tags: , , , , , , ,

Continue Reading September 23rd, 2006