Projects for Students
We have submitted the following MPhys project proposals to the Department of Physics (April 2014):
Atmospheric dynamical factors underlying the UK floods of January/February 2014
The winter of 2013/2014 experienced exceptionally heavy rainfall in southern England, with Oxford experiencing its wettest winter since the Radcliffe Observatory record began in 1767. Working with Environment Guardian, Oxford has conducted a unique large-ensemble public distributed computing experiment to examine the possible role of human influence on climate in these events: http://www.climateprediction.net/weatherathome/weatherhome-2014/ This experiment has generated tens of thousands of simulations of "possible weather" in two ensembles, one representing present-day conditions, and the other representing a range of possibilities for the "world that might have been" had human-induced climate change not occurred. Thus far, these ensembles have only been explored for changes in occurrence-frequency of heavy UK rainfall events, but also contain a wealth of information on the dynamical factors (atmospheric circulation patterns, sea surface temperatures, etc) that potentially played a major role in these floods. This student project will explore the circulation patterns associated with heavy rainfall events in these ensembles, and assess to what degree the atmospheric model used is capable of simulating these circulation anomalies realistically. We would expect this student to take the C5 option.
Supervisors: Antje Weisheimer (AOPP, reporting), Friederike Otto (OUCE) and Nathalie Schaller (OUCE and AOPP)
How does better representation of uncertainty in land surface parameters improve forecasting of the 2003 European summer heat wave?
The land surface has an important role in the climate system, primarily through evaporation and its effect on latent and sensible heat fluxes. This land-atmosphere coupling was particularly strong in 2003 over Europe, when negative spring soil moisture anomalies contributed to the exceptional summer heat wave.
The potential to anticipate heat waves is made possible by climate models run in seasonal forecasting mode. Here the initialization of slowly varying components of the climate system enables predictability of average conditions, months ahead. Uncertainty in the land surface component of these models is not well represented, and ongoing work at Oxford and the European Centre for Medium-Range Weather Forecasts (ECMWF) is addressing this issue.
Recent hindcasts experiments indicate by perturbing two key land surface parameters in the ECMWF’s state-of-the-art seasonal climate model we improve the simulation the 2003 European summer heat wave. However the mechanism by which this arises is not currently understood.
The goal of the project then is to diagnose the mechanisms leading to this forecast improvement, as well as to investigate any systematic effect of the land surface parameters on the model simulation. There is the also the possibility to extend the analysis to alternative years and regions. This project offers the student experience working with large datasets, as well as a good introduction to seasonal climate forecasting and verification.
Supervisors: David MacLeod and Antje Weisheimer
Towards the Prototype Probabilistic Earth-System Model for Climate Prediction
People: Tim Palmer
This project is funded by an ERC Advanced Investigator Grant 2011.
Handling model-related uncertainty in weather and climate forecasts
People: Antje Weisheimer, Tim Palmer, David MacLeod
We are part of the FP7 project SPECS (Seasonal-to-decadal climate Prediction for the improvement of European Climate Services) and lead the workpackage 4.4. on Addressing Model Inadequacy. SPECS intends to develop the new generation of European operational seasonal-to-decadal climate forecast systems for the production of reliable, local climate information at the global scale. SPECS is a collaborative project with 20 partners from Europe and Brazil and is part of a cluster of European projects that will provide a coordinated response to the societal need for climate services.