Event Status
Registration Closes
Mon 08 Apr 2019 - 10:00 am
Event Date
Mon 08 Apr 2019 - 5:30 pm to
Mon 08 Apr 2019 - 7:30 pm

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Key Speaker(s)
Andrew Frost and Justin Robinson
Bureau of Meteorology Level 15 300 Elizabeth Street Bureau of Meteorology Surry Hills New South Wales Australia
Registration: BoM staff: $0.00 ($0.00 excl. GST) EA Members& students: $0.00 ($0.00 excl. GST)
Maximum CPD Hours
Sydney Division Water Engineering Panel
Event Contact
Contact:Engineers Australia Member Services Phone: 1300 653 113 Email:
Using Australian Water Resource Assessment (AWRA-L) model for catchment conditions Register

In this seminar we introduce the AWRA-L model and website; detailing outputs, performance and use. An in-house use case of how the Bureau of Meteorology is using AWRA-L to estimate antecedent soil moisture conditions for operational flood warning is presented.

Prolonged extreme drought and resulting water shortages within Australia during the 'Millennium drought', over the period 1997 to 2009, triggered the implementation of the federally mandated Water Act (2007) towards better monitoring of water availability and water use nationwide. As a result, the Australian Bureau of Meteorology (the Bureau) was given responsibilities including collating water data from jurisdictional agencies and analysing and reporting on water status, in addition to its existing weather and flood forecasting responsibilities.

The Australian Water Resources Assessment (AWRA) Modelling System underpins the Bureau's water information services for national water resource assessment reporting, water use accounting and situation monitoring. The modelling system has been developed by the Bureau and CSIRO over the last decade and is run operationally within the Bureau to provide both situational awareness and national retrospective water resource assessment. 

AWRA-L is optimised to the whole water balance using a national streamflow dataset along with satellite derived soil moisture and evapotranspiration estimates. The model is validated against a wide range of observational datasets including point scale soil moisture probe data, flux tower estimates and groundwater recharge estimates. The modelling system has recently been released as a community modelling system (https://github.com/awracms/awra_cms), enabling application and development by the wider research community.