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Research Topic : variability
Australian State/Territory : VIC
Socio-Economic Objective : Water Allocation and Quantification
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  • Researchers (9)
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  • Funded Activity

    Linkage Projects - Grant ID: LP130100072

    Funder
    Australian Research Council
    Funding Amount
    $375,000.00
    Summary
    A decadal to inter-decadal streamflow prediction system. This project will develop the first ever decadal streamflow prediction system for Australia, leading to predictions of streamflow for the next 10 years and beyond that take into account both natural climatic variability (driven by factors such as the El Nino Southern Oscillation) and changing greenhouse gas concentrations due to a warming planet.
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    Funded Activity

    Discovery Projects - Grant ID: DP140103679

    Funder
    Australian Research Council
    Funding Amount
    $450,000.00
    Summary
    Forecasting drought impacts months ahead using satellite data. Skillful seasonal water and crop forecasts could do much to help cope with drought and water-related food crises. Recent advances in hydrological modelling and satellite remote sensing of surface soil moisture, landscape water storage and vegetation biomass have created a great opportunity to produce such forecasts over large areas. This project will exploit that opportunity by assimilating the satellite observations into a global wa .... Forecasting drought impacts months ahead using satellite data. Skillful seasonal water and crop forecasts could do much to help cope with drought and water-related food crises. Recent advances in hydrological modelling and satellite remote sensing of surface soil moisture, landscape water storage and vegetation biomass have created a great opportunity to produce such forecasts over large areas. This project will exploit that opportunity by assimilating the satellite observations into a global water and vegetation forecasting model. The resulting improvement in seasonal forecasts of stream flow, soil moisture and crop production will be quantified and compared to the limited forecasts that are currently available.
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    Funded Activity

    Linkage Projects - Grant ID: LP120200811

    Funder
    Australian Research Council
    Funding Amount
    $206,000.00
    Summary
    Reconstructing millennial-scale streamflow variability to assess near-future risks to water-generated renewable energy. Hydroelectric power is a key component of Australia's national renewable energy policy. The project will combine Hydro Tasmania's water supply and distribution network with historical reconstructions of streamflow variability to conduct stress tests of future water supplies and hydroelectric generating capacity for the Australian power grid.
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    Funded Activity

    Linkage Infrastructure, Equipment And Facilities - Grant ID: LE150100047

    Funder
    Australian Research Council
    Funding Amount
    $540,000.00
    Summary
    A multi-frequency microwave radiometer system for environmental research. A multi-frequency microwave radiometer system for environmental research: A new capability for airborne remote sensing of key environmental variables will be established. The unique P-, Ku- and Ka-band passive microwave radiometer system will provide information on soil moisture, surface temperature and vegetation, and allow for a new satellite concept to be demonstrated. By combining with an existing L-band radiometer, da .... A multi-frequency microwave radiometer system for environmental research. A multi-frequency microwave radiometer system for environmental research: A new capability for airborne remote sensing of key environmental variables will be established. The unique P-, Ku- and Ka-band passive microwave radiometer system will provide information on soil moisture, surface temperature and vegetation, and allow for a new satellite concept to be demonstrated. By combining with an existing L-band radiometer, data can be collected simultaneously at P-, L-, Ku- and Ka-bands, with increased spatial resolutions accordingly. The shorter wavelength, but higher spatial resolution data can be used to enhance the spatial resolution of the longer wavelength data, resulting in a capability to derive long wavelength observations from space at unprecedented spatial resolution.
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