Development and evaluation of our seasonal prediction system has benefited from major external partnerships. Our main partnerships are summarised below:
CSIRO: We have a major partnership with CSIRO, primarily, although not exclusively, through the Collaboration for Australian Weather and Climate Research (CAWCR). CAWCR is a partnership between Australia's leading atmospheric and oceanographic research agencies, the Bureau of Meteorology and CSIRO. Our collaboration with CSIRO encompasses aspects of the development of the forecast system, its evaluation and interfacing forecasts to applications.
UK MetOffice: One of the key partners in ACCESS is the UK Met Office, with whom we have strong collaboration in weather forecasting. The development of ACCESS-S will strengthen our collaboration with the MetOffice by extending our partnership to include seasonal prediction.
Monash University: Key scientific collaboration, particularly through process studies of tropical convection and how the parameterisation of convection can be improved in the forecast model.
National Computational Infrastructure (NCI): The NCI is Australia’s national research computing facility. Our partnership with NCI is essential for access to high-end computing services (supercomputing, data storage and data sharing).
Managing Climate Variability Program: our partnership with the MCV program, administered through the Grains Research and Development Corporation (GRDC), has supported and continues to support several projects including:
- Supporting the development and evaluation of the new ACCESS-S forecast system,
- Projects applying POAMA to agriculture and crop models,
- Understanding skill and predictability on multi-week scales, including the development of new multi-week forecast products,
- Understanding our ability to predict temperature extremes on multi-week time-scales, including the development of new heat extreme experimental forecast products,
- Understanding the teleconnections of Australian climate to the large scale climate drivers and how well they are simulated and predicted by POAMA,
- Evaluating how well POAMA can predict the Australian wet season onset, including the development of prototype products.
- Understanding the skill in predicting the Indian Ocean, how much skill is limited by the initialisation strategy and investigating ways of improving the initialisation (e.g. through using new observing systems)
The MCV program makes a very significant contribution to the development and evaluation of the seasonal prediction system.
Horticulture Innovation Australia: HIA supports a project to evaluate the new ACCESS-S system for regions that are important for horticulture.
PCCSAP: This program supports the development of seasonal climate predictions using POAMA for some Pacific Island nations. This includes regional forecasts of temperature and rainfall, and ocean surface temperature forecasts for marine applications e.g. coral bleaching and sea level forecasting.
Great Barrier Reef Marine Park Authority: Our collaboration with GBRMPA supports the development of seasonal forecasts for coral bleaching risk for the Great Barrier Reef.
Tuna: This collaboration supports the investigation of the creation of real time seasonal forecast products for the longline tuna fisheries off the east Australian coast and in the Bight.
Salmon: This project involves the development of real time POAMA forecast products for the salmon aquaculture industry in Tasmania.
Prawn: This project supports the development of real time multi-week and seasonal forecast products for the Queensland prawn industry.
Victorian Climate Initiative (VicCI): This initiative supports research to evaluate seasonal climate forecasts and climate drivers related to Victoria.
WIRADA: This initiative supports the evaluation and application of seasonal climate predictionss from POAMA for hydrological predictions throughout Australia.
South Eastern Australia Climate Initiative (SEACI): This initiative supports research to evaluate POAMA rainfall forecasts for the SE of Australia, particularly in relation to supporting hydrological applications.
Western Australian Marine Science Institution (WAMSI): This initiative supports research to evaluate prediction and predictability of the large-scale drivers of variability of the Western Australian marine environment, particularly focusing on the impact of ENSO on the Leeuwin Current.