Water Forecasting Services to Manage Water Scarcity and Variability
Dr Dasarath (Jaya) Jayasuriya Bureau of Meteorology Assistant Director Water Forecasting Services
Hydropredict 2010 21 September 2010
Water Forecasting Services to Manage Water Scarcity and Variability - - PowerPoint PPT Presentation
Water Forecasting Services to Manage Water Scarcity and Variability Dr Dasarath (Jaya) Jayasuriya Bureau of Meteorology Assistant Director Water Forecasting Services Hydropredict 2010 21 September 2010 Australian Temperatures All of
Dr Dasarath (Jaya) Jayasuriya Bureau of Meteorology Assistant Director Water Forecasting Services
Hydropredict 2010 21 September 2010
1-72 hours Flood Forecasts Emergency Response 7-10 days Flow Forecasts River Operations 3-12 months Seasonal Predictions Water Allocations and Supply Operations Multi years Scenario Projections Water Supply Planning
Flash flooding in Brisbane, February 2010
Normanton to Karumba Road cut, February 2010
50 100 150 200 250 300 350 400 450 500 550 600 Jul-04 Oct-04 Jan-05 Apr-05 Jul-05 Oct-05 Jan-06 Apr-06 Jul-06 Oct-06 Jan-07 Apr-07 Jul-07 Oct-07 Jan-08 Apr-08 Jul-08 Oct-08 Jan-09 Apr-09 Jul-09 Oct-09 Jan-10 Apr-10 Jul-10
Month Number Issued
Watches Warnings
1-72 hours Flood Forecasts Emergency Response 7-10 days Flow Forecasts River Operations 3-12 months Seasonal Predictions Water Allocations and Supply Operations Multi years Scenario Projections Water Supply Planning
SWIFT with FEWS Rain forecasts: Meso-Laps, Access-R and Access-G Rainfall-runoff: GR4J model Observed since 1 Jan 2010 Forecasts
1% 10% 25% 50% 75% 99% 90% Minor Flood Moderate Flood Major Flood
Forecast Time
Series of Forecast Hydrographs with Different Probabilities of Exceedance Likelihood of Exceeding Specific Flood Levels
1-72 hours Flood Forecasts Emergency Response 7-10 days Flow Forecasts River Operations 3-12 months Seasonal Predictions Water Allocations and Supply Operations Multi years Scenario Projections Water Supply Planning
non regulated systems)
Development Alliance activities:
– CSIRO’s Statistical Bayesian Joint Probability (BJP) approach – Downscaling climate inputs from global climate model to hydrological model – Dynamic Hydrological Modelling approach – Combining statistical and dynamic approaches
Bayesian statistical parameter inference is performed using Markov Chain Monte Carlo sampling The BJP modelling approach produces simultaneous predictions for multiple sites within a catchment Antecedent streamflow, rainfall, climate indicators and (subjective) prior knowledge are model inputs Model predictions are probabilistic, providing a measure of uncertainty
6 tercile misses
Autumn
Experimental forecast - Skills
with streamflow
predictions
Dr Dasarath Jayasuriya d.jayasuriya@bom.gov.au +61 3 86388251 or +61 419893706