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WIRADA Science Symposium
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TUESDAY, 2 AUGUST 2011 |
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SESSION 1 |
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Seeding the water information cloud |
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KEYNOTE: Water, water everywhere – but how much dare we drink? (PDF, 6.87MB) |
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SESSION 2 |
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A. Operational systems: water resource assessments |
B. Scientific workflow technologies to underpin large-scale environmental systems |
Operational modelling systems: how to deal with changes in data (PDF, 3.26MB) |
Workflow automation challenges (PDF, 2.31MB) |
Design and development of the Australian Water Resources Assessment system (PDF, 1.2MB) |
The Hydrologists Workbench: more than a scientific workflow tool (PDF, 1.9MB) |
Comparison of models and methods for estimating spatial patterns of streamflow across a continental domain (PDF, 848KB) |
Governance and provenance: theoretical perspectives and practical applications (PDF, 1.71MB) |
Operationalising the Australian Water Resources Assessment (AWRA) system |
Optics on observations: the Catalogue of Environmental Information (PDF, 1.32MB) |
SESSION 3 |
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A. Operational systems: flood and short-term forecasting |
B. Hydroinfomatics |
Uncertainties in flood forecasting: a Bayesian total error perspective (PDF, 1.01MB) |
The rise of informatics as a research domain (PDF, 3.31MB) |
Hydrologic modelling with SWIFT to support realtime short-term streamflow forecasting (PDF, 2.68MB) |
Water information standards: Australian context (PDF, 255KB) |
Quantifying and communicating uncertainty in short-term hydrological forecasting (PDF, 208KB) |
The role of Model Driven Architecture in the development of the Australian Water Resources Information System (PDF, 2.07MB) |
Short-term streamflow forecasting: Ovens River Pilot Operational System using SWIFT and FEWS (PDF, 421KB) |
Towards hydrological data interoperability within the Australian water resources sector (PDF, 118KB) |
SESSION 4: Plenary |
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THURSDAY, 4 AUGUST 2011 |
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SESSION 9 |
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Driving research innovation to operations |
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KEYNOTE |
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SESSION 10 |
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A. Model–data assimilation and model–data fusion |
B. Statistical–dynamical methods for forecasting |
Remote sensing data assimilation in hydrologic modelling (PDF, 4.28MB) |
Dynamical-statistical approaches for hydrologic ensemble prediction (PDF, 3.81MB) |
Land surface models and Numerical Weather Prediction (PDF, 2.03MB) |
Improving statistical seasonal streamflow forecasts using the output of dynamic hydrological and climate models (PDF, 873KB) |
Assimilating soil moisture retrievals or brightness temperature observations: impact on the Australian Water Resources Assessment Landscape model (PDF, 4.50MB) |
Hierarchical Bayesian model averaging of statistical and dynamical models for improved seasonal rainfall forecasts (PDF, 1.88MB) |
Australian water balance assessment: operational challenges (PDF, 857KB) |
Seasonal streamflow forecasts: an operational service (PDF, 2.31MB) |
SESSION 11: Plenary |
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