Website
http://dataportal.arc.gov.au/NCGP/API/grants/DP140102394
Funding Status
Closed
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Funded Activity Summary
Reducing flood loss - A data-assimilation framework for improving forecasting capability in sparsely gauged regions. Floods are the biggest and severest natural disaster we face year after year. Furthermore, there has been little improvement in our capability to prevent flood damage over past decades. This research proposes a paradigm shift in the way flood forecasting, warning and evacuation proceeds, using 21st century technologies for collecting and incorporating flood related data into existing modelling platforms. It is argued that assimilating real-time satellite soil moisture data into flood models can increase accuracy manifold, even if the images are uncertain. The understanding gained in course of the proposed project has the potential to significantly reduce the damage caused year after year, especially in the data poor regions of the world.Funded Activity Details
Start Date: 03-2014
End Date: 08-2017
Funding Scheme: Discovery Projects
Funding Amount: $550,000.00
Funder: Australian Research Council
Research Topics
ANZSRC Field of Research (FoR)
Water Resources Engineering | Civil Engineering |
ANZSRC Socio-Economic Objective (SEO)
Natural Hazards in Fresh, Ground and Surface Water Environments | Health Protection and/or Disaster Response
