Publication Summary Description Related Collections: Recently updated collections Related Datasets: Recently updated datasets Related Projects: Recently updated projects Collection Summary Description Data and Resources Subjects Fields of Research Keywords Socio-economic Objectives Organisations & Groups Related Datasets: Recently updated datasets Related Projects: Recently updated projects Dataset Summary Description Data and Resources Subjects Fields of Research Keywords Socio-economic Objectives Organisations & Groups Related Collections: Recently updated collections Project Summary Description Data and Resources Subjects Fields of Research Keywords Socio-economic Objectives Organisations & Groups Related Collections: Recently updated collections Service Summary Description Related Datasets: Recently updated datasets Related Organisations: Related organisations JavaScript is not enabled This application requires Javascript, however the system has detected that Javascript is not enabled on the browser. Please follow these instructions on how to enable Javascript. After Javascript has been enabled, press F5 to reload this page to make this message disappear. Search Map Search Clear search Sort by: Date (Descending) Title, Descending Title, Ascending Date, Descending Date, Ascending 50 results per page 10 results per page 25 results per page 50 results per page Search returned 7 results in 1 pages. First First « Previous 1 » Next Last Last Development of an agreed set of climate projections for South Australia dataset This dataset was collected by the Downscaled Climate Projections for SA Project and includes development of an agreed set of climate change projections for South Australia This dataset is part of the collection that was produced as an output of htm Year Published 2018 Organisation University of South Australia Identifier https://researchoutputs.unisa.edu.au/11541.1/e744d1fdcae8434c8cae7d05878a8c4b Development of an agreed set of climate projections for South Australia collection The collection comprises data collected by the Downscaled Climate Projections for SA Project and includes development of an agreed set of climate change projections for South Australia. This collection was produced as an output of Goyder Institute htm Year Published 2018 Organisation University of South Australia Development of an agreed set of climate projections for South Australia Development of an agreed set of downscaled climate projections for South Australia was the largest funded climate change project in South Australia. The focus of this Climate Change priority project was the development of a benchmark suite of Year Published 2017 Organisation University of South Australia Development of an application test bed The objective of this task was that a test bed of modelling applications be developed collaboratively between the research partners and the key South Australian state agencies. These applications included models of catchment surface water runoff, a Year Published 2017 Organisation Department of Environment, Water & Natural Resources Selection of Global Climate Models (GCMs) for regional downscaling and projection The objective of this task was to develop an approach for model selection that is consistent with both the IPCC framework and national climate change initiatives. The selection was based on a set of climatic criteria that are relevant to both SA Year Published 2017 Organisation Commonwealth Scientific and Industrial Research Organisation CSIRO Downscaling and climate change projections for South Australia The objective of this task was to deliver ensembles of stochastic daily time-series of precipitation and other variables for use in hydrological modelling for the South Australian NRM regions. This allows for scenario planning of water management Year Published 2017 Organisation Commonwealth Scientific and Industrial Research Organisation CSIRO Understanding the key drivers of climate change in South Australia The objective of this task was to understand the key drivers of climate change in South Australia. In this task it was necessary to explore the causes of non-stationarity in our environmental time series. This needed to allow for seasonal variations Year Published 2017 Organisation University of South Australia Search returned 7 results in 1 pages. First First « Previous 1 » Next Last Last