The aim of this project is to investigate the effect of compound hot and dry events on agricultural production in Australia, and to assess the predictability of yield losses due to compound events using seasonal climate and hydrological forecasts. The outcome of the project may inform the development of seasonal forecasts of hydro-climatic risk indicators for agricultural production in Australia.
Tag Archive: seasonal forecasting
El Niño effects are communicated to the Indian Ocean via both large‐scale atmospheric circulation changes over the southern tropical ocean basin and via disturbances to sea‐levels along the coast of Western Australia. CLEX researchers investigated these remote ENSO influences in a state‐of‐the‐art climate model.
This project will focus on the connection between conceptual climate models and high resolution general circulation models (GCMs). The student will analyse simplified models that represent teleconnection behaviour and calibrate them to reflect the settings of a GCM. The student will also have access to high dimensional GCM output and can compare an ensemble of “real-world” simulations to the behaviour of the conceptual model using statistical methods.
The objective of this project is to develop and evaluate a post-processing method to correct gridded runoff forecasts. Improving the accuracy of gridded runoff forecasts helps to improve the skill of predictions of extreme events, such as the risk of flooding or drought.
The aim of this student project is to investigate the relationships between hydrological extremes (especially soil moisture drought) and wheat production in Australia. The outcome of the project may inform the development seasonal forecasts of hydrological indicators for agricultural production in Australia.