Crop production forecasting using a global biophysical model

A model that can forecast vegetation condition will be used over the world’s main cropping regions to predict national and global crop production up to six months ahead. The quality of the retrospective crop production forecasts will be compared to those available from other sources. The parameterised forecasting model will be used with simple scenarios to study the role of droughts in driving volatility in national global food supplies.

Candidates should have some experience with scripting languages and programming. A scholarship may be available.

For more information about this potential research topic or activity, or to discuss any related research area, please contact the supervisor.