Climate model validation and generation of probabilistic climate projections using data from Phase 5 of the Climate Model Intercomparison Project. New climate model results will be compared with observations to test model skill. Probabilistic projections of regional-scale climate change will be developed and used to investigate a number of ecosystem impact case studies.
Utilizing the geological record to constrain the response of marine ecosystems and global carbon cycling to warming and de-oxygenation. Earth history is punctuated by a huge variety of transitions and perturbations in climate, biogeochemical cycling, and ecosystems, some of which may hold direct future-relevant information. In the oceans, these are closely linked in a complex web of feedbacks, as well as to the oxygenation of the ocean and the ultimate geological fate of excessive carbon release ....Utilizing the geological record to constrain the response of marine ecosystems and global carbon cycling to warming and de-oxygenation. Earth history is punctuated by a huge variety of transitions and perturbations in climate, biogeochemical cycling, and ecosystems, some of which may hold direct future-relevant information. In the oceans, these are closely linked in a complex web of feedbacks, as well as to the oxygenation of the ocean and the ultimate geological fate of excessive carbon released into the atmosphere – burial of carbon in sediments. This project will develop a computer model representation of this coupled carbon-climate-life system and test this against the geological record, explore the causes and consequences of carbon release events and extinctions as well as how the ocean floor delivery and preservation of organic carbon responds.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE110100234
Funder
Australian Research Council
Funding Amount
$430,000.00
Summary
Enhancement of South Australian high-performance computing facilities. These facilities will enable the efficient use of high-performance computing and will more than double the capability provided by eResearch SA for South Australian researchers. They will support large-scale applications, running over many processors in parallel (high-performance computing) or large numbers of single processors (high-throughput computing).