18 Aug Brian Jackson
Brian Jackson, Australia
I hold a CPEng and an MSc in hydrology (summa cum laude). I am an adaptive water resources manager, modeller and hydrologist with 20 years of experience in implementing integrated water resources management. I have been at the forefront of implementing the internationally respected water act of South Africa through my employment at both the national Department of Water Affairs and the first Catchment Management Agency established in South Africa. I oversaw the development of the first ever Catchment Management Strategy in South Africa and I also implemented an innovative adaptive real time operational water resources management framework for river operations based on adaptive management principles and the integration of data, modelling, governance and stakeholder centred consensus driven decision making using action research methodologies. I have also had experience as the acting Chief Executive Officer of the first ever Catchment Management Agency to be established in South Africa.
Presentation Title: HydroNET and Real Time Radar Rainfall Data for improved hydrology, flood forecasting and flood warning.
When an event is unfolding, the modern advances in ICT now allow us to better meet decision-makers needs for real time, simple, robust, customised and easily accessible information through cloud based software as a service (SaaS) solutions to deliver the “The Digital Delta Approach”, where everybody is connected and the various parties maintain responsibility for their data at source, yet all the data from all parties is available to all participants. HydroNET is an open, live and cloud based SaaS solution, developed by water professionals, that provides easy access to applications, personalised dashboards and reports to support smart water management decisions. It securely and smartly connects to hydrological and meteorological databases in real-time to translate archived and operational weather and water data into valuable tools for informed decision making. A burgeoning and innovative operational data source for hydrological modelling available in Australia is gridded radar rainfall and forecast data. While quantitative RADAR rainfall estimates have been possible for some time, recent advances in calibrated RADAR rainfall data are of specific interest in improving our understanding of catchment rainfall patterns. Research is showing that the improved understanding of the spatial distribution of rainfall that radar provides is equally, if not more, critical to accurate hydrology. The BoM have excellent forecast information and weather radars around Australia, and this data is easily accessible in real time in HydroNET – along with other global datasets – through the RainWatch application, which is also able to smartly combine point and gridded data from gauges and radars to provide a merged, calibrated data product in real time to greatly enhance outcomes in the hydrology, flood forecasting and flood warning space.