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Hydrological Forecasting System in Australia 
Simon Pierotti 
HyFS
HyFS 
1. 
Introduction to HyFS 
2. 
End to End Forecasting / Operational best practice 
3. 
Manageable and Maintainable Configuration 
4. 
Future/Extensions 
5. 
Summary and Questions 
Netherlands
HyFS Business Case 
• 
HyFS is national hydrological modelling and forecasting system for: 
 
Flood Forecasting and Warning Services 
 
New Short-Term Streamflow Forecasting Service 
 
Efficient, robust and sustainable flood warning service 
 
National System – service delivery from regional and national offices. 
 
Meets operational best practice – high level of availability, ready for the next COI 
 
Better use of weather forecasting guidance. 
 
Support current forecasting techniques. 
 
Realise benefits from investment in R&D - can evolve to utilise new advances and. 
 
Supports collaboration - with forecasting agencies in Australia and Overseas.
HyFS Project Time Lines 
Stage 1 
Stage 2 
Stage 3 
Stage 4 
Stage 5 
T0 
Requirements (2012) 
Data System (HyDS) (2013/14) 
Model Migration (2014) 
Operationalise (2015) 
Stage 6 
Extension (2015/16) 
Functional Modelling System (2013)
HyFS and Delft-FEWS 
Partner Agencies 
HyFS Web Reports 
Training 
Forecaster 
STF Product Generator 
Public Clients 
HyFS 
HyDS 
WET 
HyFI 
Tide and Surge 
NexGenFWS 
NWP 
Rain and River 
Rainfields 
Flow Forecasts 
Warning Entry Tool 
Flood Dashboard 
Metadata 
+ Archiving, Forecast Performance, Post Flood Analysis, and Model Calibration 
Delft-FEWS components 
Delft-FEWS components
Time StudioEnviromonData ProviderAutomatic Weather StationRemote ObserverNowCastACCESS C G & RGFE Forecast Rain PME/ECMWF/SDIOcean Surge Forecast (CAWCR) AIFS(Regional) HCS DecoderHydro Data DecoderHydro DBHyFS Data Management SystemFEWSManual Quality Control (MQC) Rainfields Data CollectorDerived Data Product GeneratorCMSS 
HyDS "The right data at the right time at the right place" 
• 
New data sources (NWP, Radar Rainfall, Tidal Anomaly) 
• 
Finger-grained data (15 Min Rain Period data) 
• 
Highly available 
• 
Data and data systems need to provide value to the whole organisation 
• 
Existing regional systems are robust but are not easily extendable 
• 
Centralised data solution
HyFS and Delft-FEWS 
Partner Agencies 
HyFS Web Reports 
Training 
Forecaster 
STF Product Generator 
Public Clients 
HyFS 
HyDS 
WET 
HyFI 
Tide and Surge 
NexGenFWS 
NWP 
Rain and River 
Rainfields 
Flow Forecasts 
Warning Entry Tool 
Flood Dashboard 
Metadata 
+ Archiving, Forecast Performance, Post Flood Analysis, and Model Calibration 
Delft-FEWS components 
Delft-FEWS components
Size of the National System 
• 
5000 Rain Gauges 
• 
3000 River Gauges 
• 
150 URBS models 
• 
50 SWIFT models 
+ Peak Heights 
+ Calibration Events 
+ Historical Floods
HyFS Features 
• 
NWP Rainfall Forecasts 
• 
Radar Rainfields 
• 
Rainfall Forecast Comparisons 
• 
Real-Time IFD 
• 
Peak Heights
HyFS and Delft-FEWS 
Partner Agencies 
HyFS Web Reports 
Training 
Forecaster 
STF Product 
Generator 
Public Clients 
HyFS 
HyDS 
WET 
HyFI 
Tide and Surge 
NexGenFWS 
NWP 
Rain and River 
Rainfields 
Flow Forecasts 
Warning Entry Tool 
Flood Dashboard 
Metadata 
+ Archiving, Forecast Performance, Post Flood Analysis, and Model Calibration 
Delft-FEWS components 
Delft-FEWS components
Flood Warnings 
• 
Forecasts and Warnings are developed based on: 
o 
Modelling 
o 
peak heights 
o 
historical floods 
o 
discussions with external agencies 
• 
Text based Warning on the public web
WET - Warning Entry Tool 
New tool to: 
• 
Identify explicit spatial areas 
• 
Produce standard formats 
• 
Encode numerical forecasts for verification and training 
Integration with HyFS 
• 
Official issued warning available to the forecaster
HyFS and Delft-FEWS 
Partner Agencies 
HyFS Web Reports 
Training 
Forecaster 
STF Product Generator 
Public Clients 
HyFS 
HyDS 
WET 
HyFI 
Tide and Surge 
NexGenFWS 
NWP 
Rain and River 
Rainfields 
Flow Forecasts 
Warning Entry Tool 
Flood Dashboard 
Metadata 
+ Archiving, Forecast Performance, Post Flood Analysis, and Model Calibration 
Delft-FEWS components 
Delft-FEWS components
Operational Best Practice 
Meet Statutory Requirements: 
• 
Simulations 
• 
Forecaster Notes 
• 
Run info etc. Post Flood Activities: 
• 
Forecasting performance 
• 
Check and recalibrate models 
• 
Automated report generation 
• 
Reports saved on the archive Training: 
• 
Water Coach Scenarios Flood Operations: 
• 
Access to archived reports from the OC 
• 
Historical events 
ARCHIVE
Post Flood Activities 
Forecast Performance Reports: 
• 
Asses the performance of the final forecasts from WET 
• 
Asses performance of model simulations 
Calibration Reports: 
• 
Calibrate and verification
HyFS and Delft-FEWS 
Partner Agencies 
HyFS Web Reports 
Training 
Forecaster 
STF Product Generator 
Public Clients 
HyFS 
HyDS 
WET 
HyFI 
Tide and Surge 
NexGenFWS 
NWP 
Rain and River 
Rainfields 
Flow Forecasts 
Warning Entry Tool 
Flood Dashboard 
Metadata 
+ Archiving, Forecast Performance, Post Flood Analysis, and Model Calibration 
Delft-FEWS components 
Delft-FEWS components
Training - Water Coach 
• 
Part of end user training 
• 
Script based events and learning 
• 
Used for consolidation of learning/self-assessment 
• 
Navigating the HyFS System 
• 
Situational Awareness/Rainfall Grids 
• 
Forecasting with URBS
Manageable and Maintainable Configuration
Manageable and Maintainable Configuration 
• 
Permissions in configuration 
• 
Change and release management procedures 
• 
Version Control 
• 
National system with multiple regional forecasting centres 
• 
7 Regional Offices 
• 
1 Configuration 
• 
How to migrate and maintain?
Permissions 
• 
Make use of permission groups in FEWS to filter 
• 
Hide certain areas of the system
Making the configuration maintainable 
• 
Templates 
• 
Organised into regions 
• 
Metadata in csv and shp 
• 
Plan to integrate with a metadata management system (HyFI). 
Station Metadata
Change Management 
• 
Provide a structured way of managing and controlling the manner in which changes are initiated, assessed, planned, scheduled and implemented in the HyFS systems. 
Version Control
Version Control 
• 
Decentralised version control 
• 
Each migration team has their own branch 
• 
Merged into the master for each release package 
• 
No Manual Merging (most of the time) 
• 
More time for testing, less time for merging
Change - Release Management
Migration Progress 
• 
Would we be this far along without change management and version control?! 
0% 
20% 
40% 
60% 
80% 
100% 
Western Australia 
South Australia 
New South Wales 
Tasmania 
Queensland 
Victoria 
Northern Territory 
Overall 
URBS Models Migrated
Future 
• 
Operational support arrangements 
• 
Transition to Operation 
• 
Training 
• 
Hydrological Flood Intelligence System (HyFI) 
Stage 1 
Stage 2 
Stage 3 
Stage 4 
Stage 5 
Requirements (2012) 
Functional Modelling System (2013) 
Data System (HyDS) (2013/14) 
Model Migration (2014) 
Operationalise (2015) 
Stage 6 
Extension (2015/16) 
T0
FEWS Community Australia 
• 
FEWS user days in 2014 was a major success 
• 
40+ people at user days 
• 
FEWS user days 2015 scehdueled
Summary 
• 
Implementation of a single National Forecasting System is not without its challenges. 
• 
A national system will provide the Bureau with system that can be efficiently and effectively maintained. 
• 
It enables the Bureau to implement a system with robustness and disaster recovery expected of emergency management organisations. 
• 
Makes it easier to introduce improvements in the future and ensure that the Bureau's forecasting systems and methods continue to meet industry and world best practice. 
• 
The FEWS community will enable the Bureau share forecasting approaches and techniques with its partners in Australia and Internationally.
Acknowledgements 
Agathe Boronkay, Sunil Bhatt, Chris Leahy, Simon Pierotti, Karen Hudson, Andrew Preece, Andy Barnes, David Enever, Prasantha Hapuarachchi, Ashleigh Hackles, Phil Douglas, Wei Wang, Shangyou Zhang, Chandra Waniganayaka, Jeff Perkins, Rob Thompson, Phil Nguyen, Brett Anderson, Shirrah Comeadow, Soori Sooriyakumaran, Paul Birch, Sue Oats, Phil Ng, Santosh Kumar, Jo Pitt, Dasarath Jayasuriya, Marc van Dijk, Alex Minette, Peter Grijsbers, Ono, Chris Brunner, Andy Taylor, Ivo Miltenburg, Rick Meng, Anitha Puliyilote, Jaap Schellekens, Simone de Kleermaeker, Arther van Rooij, Onno van den Akker, David Kent, Carlos Velasco, Sourabh Gupta, and more …
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DSD-INT 2014 - Delft-FEWS Users Meeting - Hydrological forecasting system in Australia, Simon Pierotti, Bureau of Meteorology

  • 1. Hydrological Forecasting System in Australia Simon Pierotti HyFS
  • 2. HyFS 1. Introduction to HyFS 2. End to End Forecasting / Operational best practice 3. Manageable and Maintainable Configuration 4. Future/Extensions 5. Summary and Questions Netherlands
  • 3. HyFS Business Case • HyFS is national hydrological modelling and forecasting system for:  Flood Forecasting and Warning Services  New Short-Term Streamflow Forecasting Service  Efficient, robust and sustainable flood warning service  National System – service delivery from regional and national offices.  Meets operational best practice – high level of availability, ready for the next COI  Better use of weather forecasting guidance.  Support current forecasting techniques.  Realise benefits from investment in R&D - can evolve to utilise new advances and.  Supports collaboration - with forecasting agencies in Australia and Overseas.
  • 4. HyFS Project Time Lines Stage 1 Stage 2 Stage 3 Stage 4 Stage 5 T0 Requirements (2012) Data System (HyDS) (2013/14) Model Migration (2014) Operationalise (2015) Stage 6 Extension (2015/16) Functional Modelling System (2013)
  • 5. HyFS and Delft-FEWS Partner Agencies HyFS Web Reports Training Forecaster STF Product Generator Public Clients HyFS HyDS WET HyFI Tide and Surge NexGenFWS NWP Rain and River Rainfields Flow Forecasts Warning Entry Tool Flood Dashboard Metadata + Archiving, Forecast Performance, Post Flood Analysis, and Model Calibration Delft-FEWS components Delft-FEWS components
  • 6. Time StudioEnviromonData ProviderAutomatic Weather StationRemote ObserverNowCastACCESS C G & RGFE Forecast Rain PME/ECMWF/SDIOcean Surge Forecast (CAWCR) AIFS(Regional) HCS DecoderHydro Data DecoderHydro DBHyFS Data Management SystemFEWSManual Quality Control (MQC) Rainfields Data CollectorDerived Data Product GeneratorCMSS HyDS "The right data at the right time at the right place" • New data sources (NWP, Radar Rainfall, Tidal Anomaly) • Finger-grained data (15 Min Rain Period data) • Highly available • Data and data systems need to provide value to the whole organisation • Existing regional systems are robust but are not easily extendable • Centralised data solution
  • 7. HyFS and Delft-FEWS Partner Agencies HyFS Web Reports Training Forecaster STF Product Generator Public Clients HyFS HyDS WET HyFI Tide and Surge NexGenFWS NWP Rain and River Rainfields Flow Forecasts Warning Entry Tool Flood Dashboard Metadata + Archiving, Forecast Performance, Post Flood Analysis, and Model Calibration Delft-FEWS components Delft-FEWS components
  • 8. Size of the National System • 5000 Rain Gauges • 3000 River Gauges • 150 URBS models • 50 SWIFT models + Peak Heights + Calibration Events + Historical Floods
  • 9. HyFS Features • NWP Rainfall Forecasts • Radar Rainfields • Rainfall Forecast Comparisons • Real-Time IFD • Peak Heights
  • 10. HyFS and Delft-FEWS Partner Agencies HyFS Web Reports Training Forecaster STF Product Generator Public Clients HyFS HyDS WET HyFI Tide and Surge NexGenFWS NWP Rain and River Rainfields Flow Forecasts Warning Entry Tool Flood Dashboard Metadata + Archiving, Forecast Performance, Post Flood Analysis, and Model Calibration Delft-FEWS components Delft-FEWS components
  • 11. Flood Warnings • Forecasts and Warnings are developed based on: o Modelling o peak heights o historical floods o discussions with external agencies • Text based Warning on the public web
  • 12. WET - Warning Entry Tool New tool to: • Identify explicit spatial areas • Produce standard formats • Encode numerical forecasts for verification and training Integration with HyFS • Official issued warning available to the forecaster
  • 13. HyFS and Delft-FEWS Partner Agencies HyFS Web Reports Training Forecaster STF Product Generator Public Clients HyFS HyDS WET HyFI Tide and Surge NexGenFWS NWP Rain and River Rainfields Flow Forecasts Warning Entry Tool Flood Dashboard Metadata + Archiving, Forecast Performance, Post Flood Analysis, and Model Calibration Delft-FEWS components Delft-FEWS components
  • 14. Operational Best Practice Meet Statutory Requirements: • Simulations • Forecaster Notes • Run info etc. Post Flood Activities: • Forecasting performance • Check and recalibrate models • Automated report generation • Reports saved on the archive Training: • Water Coach Scenarios Flood Operations: • Access to archived reports from the OC • Historical events ARCHIVE
  • 15. Post Flood Activities Forecast Performance Reports: • Asses the performance of the final forecasts from WET • Asses performance of model simulations Calibration Reports: • Calibrate and verification
  • 16. HyFS and Delft-FEWS Partner Agencies HyFS Web Reports Training Forecaster STF Product Generator Public Clients HyFS HyDS WET HyFI Tide and Surge NexGenFWS NWP Rain and River Rainfields Flow Forecasts Warning Entry Tool Flood Dashboard Metadata + Archiving, Forecast Performance, Post Flood Analysis, and Model Calibration Delft-FEWS components Delft-FEWS components
  • 17. Training - Water Coach • Part of end user training • Script based events and learning • Used for consolidation of learning/self-assessment • Navigating the HyFS System • Situational Awareness/Rainfall Grids • Forecasting with URBS
  • 19. Manageable and Maintainable Configuration • Permissions in configuration • Change and release management procedures • Version Control • National system with multiple regional forecasting centres • 7 Regional Offices • 1 Configuration • How to migrate and maintain?
  • 20. Permissions • Make use of permission groups in FEWS to filter • Hide certain areas of the system
  • 21. Making the configuration maintainable • Templates • Organised into regions • Metadata in csv and shp • Plan to integrate with a metadata management system (HyFI). Station Metadata
  • 22. Change Management • Provide a structured way of managing and controlling the manner in which changes are initiated, assessed, planned, scheduled and implemented in the HyFS systems. Version Control
  • 23. Version Control • Decentralised version control • Each migration team has their own branch • Merged into the master for each release package • No Manual Merging (most of the time) • More time for testing, less time for merging
  • 24. Change - Release Management
  • 25. Migration Progress • Would we be this far along without change management and version control?! 0% 20% 40% 60% 80% 100% Western Australia South Australia New South Wales Tasmania Queensland Victoria Northern Territory Overall URBS Models Migrated
  • 26. Future • Operational support arrangements • Transition to Operation • Training • Hydrological Flood Intelligence System (HyFI) Stage 1 Stage 2 Stage 3 Stage 4 Stage 5 Requirements (2012) Functional Modelling System (2013) Data System (HyDS) (2013/14) Model Migration (2014) Operationalise (2015) Stage 6 Extension (2015/16) T0
  • 27. FEWS Community Australia • FEWS user days in 2014 was a major success • 40+ people at user days • FEWS user days 2015 scehdueled
  • 28. Summary • Implementation of a single National Forecasting System is not without its challenges. • A national system will provide the Bureau with system that can be efficiently and effectively maintained. • It enables the Bureau to implement a system with robustness and disaster recovery expected of emergency management organisations. • Makes it easier to introduce improvements in the future and ensure that the Bureau's forecasting systems and methods continue to meet industry and world best practice. • The FEWS community will enable the Bureau share forecasting approaches and techniques with its partners in Australia and Internationally.
  • 29. Acknowledgements Agathe Boronkay, Sunil Bhatt, Chris Leahy, Simon Pierotti, Karen Hudson, Andrew Preece, Andy Barnes, David Enever, Prasantha Hapuarachchi, Ashleigh Hackles, Phil Douglas, Wei Wang, Shangyou Zhang, Chandra Waniganayaka, Jeff Perkins, Rob Thompson, Phil Nguyen, Brett Anderson, Shirrah Comeadow, Soori Sooriyakumaran, Paul Birch, Sue Oats, Phil Ng, Santosh Kumar, Jo Pitt, Dasarath Jayasuriya, Marc van Dijk, Alex Minette, Peter Grijsbers, Ono, Chris Brunner, Andy Taylor, Ivo Miltenburg, Rick Meng, Anitha Puliyilote, Jaap Schellekens, Simone de Kleermaeker, Arther van Rooij, Onno van den Akker, David Kent, Carlos Velasco, Sourabh Gupta, and more …