The stability and predictability of the Southern Hemisphere coupled ocean-atmosphere climate system. Our ability to adapt to and manage the effects of a changing climate is limited by our understanding of the ocean's response to changes in the atmospheric circulation. This project will establish the basis for the predictability of the climate system and provide state-of-the-art forecasts for climate adaptation.
Predictability of the El Nino-Southern Oscillation. This project aims to improve understanding of the El Nino-Southern Oscillation (ENSO), the world’s largest source of climate variability. ENSO’s effects are so large that knowledge of its current phase and forecasts of its future phase underpin seasonal rainfall, temperature and tropical cyclone forecasts worldwide. In Australia, ENSO cycles cause drought and floods. Using a suite of empirical observations and numerical models to analyse ENSO e ....Predictability of the El Nino-Southern Oscillation. This project aims to improve understanding of the El Nino-Southern Oscillation (ENSO), the world’s largest source of climate variability. ENSO’s effects are so large that knowledge of its current phase and forecasts of its future phase underpin seasonal rainfall, temperature and tropical cyclone forecasts worldwide. In Australia, ENSO cycles cause drought and floods. Using a suite of empirical observations and numerical models to analyse ENSO event precursors, initiation and predictability, this project intends to enhance skill in inter-seasonal climate forecasting and help those sectors reliant on accurate prediction.Read moreRead less
Do regional climate models rain too much? This project aims to provide a best-practice, in-depth assessment of the climate model simulations that are used to support regional climate change impact assessments. The focus will be on rainfall and the hydrological cycle as these aspects are especially impacts-relevant. Innovation comes from the application of a common benchmarking framework which includes observational uncertainty and process-based understanding to address common modelling limitatio ....Do regional climate models rain too much? This project aims to provide a best-practice, in-depth assessment of the climate model simulations that are used to support regional climate change impact assessments. The focus will be on rainfall and the hydrological cycle as these aspects are especially impacts-relevant. Innovation comes from the application of a common benchmarking framework which includes observational uncertainty and process-based understanding to address common modelling limitations. Any model failings identified will feed into model development strategies and support enhanced decision-making informed by regional climate model simulations.Read moreRead less
How will climate change affect sub-daily precipitation? This project will examine changes in sub-daily precipitation due to climate change. It will improve our understanding of the mechanisms that cause the changes at regional and local scales. Regional climate change projections produced will be freely available, and at a spatial and temporal scales suitable for impacts and adaptation studies.
Tropical ocean interactions and implications for regional climate. This project aims to understand the complex interactions across the world’s tropical oceans and their associated climate effects. The El Niño – Southern Oscillation (ENSO), manifesting in the Pacific Ocean, influences precipitation and temperature worldwide. Changes in the tropical Atlantic or Indian Oceans affect ENSO, generating instabilities and irregularities in the response. Understanding the interactions across the tropical ....Tropical ocean interactions and implications for regional climate. This project aims to understand the complex interactions across the world’s tropical oceans and their associated climate effects. The El Niño – Southern Oscillation (ENSO), manifesting in the Pacific Ocean, influences precipitation and temperature worldwide. Changes in the tropical Atlantic or Indian Oceans affect ENSO, generating instabilities and irregularities in the response. Understanding the interactions across the tropical Atlantic, Indian and Pacific Oceans can provide critical information for ENSO prognosis, thus improving long-term forecasting. Accurate seasonal and annual climate forecasting is crucial for managing Australia’s water resources, and minimising the socio-economic effects of prolonged droughts and severe wet periods.Read moreRead less
Novel techniques for interpreting atmospheric variability and its drivers. This project aims to improve the understanding of the causes of variability in atmospheric greenhouse gases, leading to better knowledge of how such processes will evolve in a changing climate. The project expects to use new measurement techniques to gain information about the spatial and temporal variability of atmospheric greenhouse gases. With the use of regional and global scale models, the measurements will be used t ....Novel techniques for interpreting atmospheric variability and its drivers. This project aims to improve the understanding of the causes of variability in atmospheric greenhouse gases, leading to better knowledge of how such processes will evolve in a changing climate. The project expects to use new measurement techniques to gain information about the spatial and temporal variability of atmospheric greenhouse gases. With the use of regional and global scale models, the measurements will be used to understand greenhouse gas fluxes and provide independent verification of current estimates. Expected outcomes include improved methods for verifying greenhouse gas emissions, which will contribute to improved emissions inventories and accounting promised under international agreements.Read moreRead less