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We developed foundation data products and hydrological modelling tools to support WIRADA research and the Bureau of Meteorology's delivery of water information products.
The AWRA modelling system underpins the interactive information on daily hydrological fluxes and stores across Australia delivered through the Bureau of Meteorology's Australian Landscape Water Balance website .
Data products used to develop and validate AWRA include:
We developed modelling tools for flood and short-term streamflow forecasting. They are used in the Bureau of Meteorology's seven-day streamflow forecasting service .
These tools include:
We developed modelling tools for seasonal streamflow forecasting. They are used in the Bureau of Meteorology's seasonal streamflow forecasting service .
Our informatics research provides the backbone to many water tools used within the Bureau of Meteorology. This includes:
WIRADA explored the blending of rain gauge and satellite rainfall to improve rainfall information across Australia. Methods for merging the spatially-comprehensive yet less accurate rainfall estimates from satellite sensing systems with the ground-based rain gauge measurements were developed and assessed to generate enhanced gridded daily rainfall products for Australia. The research demonstrated that the inclusion of satellite-derived rainfall can improve rainfall estimates, particularly for the vast expense of the interior of the continent. In addition, satellite-gauge blended daily rainfall is particularly useful for near real-time applications (like
short-term hydrological forecast) where the number of reporting gauges is typically low.
WIRADA assessed the range of actual evapotranspiration (ET) products across Australia for water accounting and water resources assessment applications in an ET product Inter-Comparison Experiment (ET-ICE). The experiment found that the remote sensing based actual ET product (known as CMRS-ET) of Guerschman et al. (2009) worked best overall, especially in vegetated and irrigated areas. A CMRS-ET production system was then developed and implemented on the National Computational Infrastructure (NCI), which exploited the massive multiprocessing capacity of the NCI to produce long actual ET time series for the whole country in just a few hours.
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Last updated: Last updated: 14 April 2016
Printed from: WIRADA foundation data and modelling tools (http://csiroaucd1-cdc.it.csiro.au/en/Research/LWF/Areas/Water-resources/Assessing-water-resources/WIRADA/Data-and-tools)