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A NEW FLOOD FORECASTING
SYSTEM FOR WALES:
CHALLENGES & OPPORTUNITIES
Andrew How
Flood Forecasting Team Leader
Cyfoeth Naturiol Cymru / Natural Resources Wales
WALES
Flood Risk Summary Overview
POPULATION
COASTAL
FLUVIAL
With steep, fast responding
river catchments; large areas
of exposed coastline and a
significant percentage of the
population at risk of flooding
– there are many challenges
to flood forecasting
POPULATION
• 3 million people live in Wales
• 1 in 8 people live in properties at risk from
fluvial or coastal flooding.
• Over half the population of Wales live near
to, or on, the coast.
• £8 billion worth of assets at risk.
FLUVIAL
Fast responding rivers.
Typical river response;
from a normal to severe
event in less than 2 hours.
COASTAL
• 1200km of coastline.
• Sections of coastline exposed to
large Atlantic swell waves and strong
onshore winds
• 2nd largest tidal range in the world
with complex tide / surge interaction.
• Large storm surge risk
• Significant coastal communities.
• Where have we been?
• Where are we now?
• Where are we going?
• Where have we been?
Timeline of flood forecasting in Wales
pRE - 2004
Local dispersed service
Timeline of flood forecasting in Wales
2004
2004
2005
Timeline of flood forecasting in Wales
2004
2005
2007
2006
2008
2009
2011
2010
2012
2013
Timeline of flood forecasting in Wales
Centralised Coastal
Forecasting
Centralised Fluvial
Forecasting
New Coastal
Forecasting Model
2004
2005
2007
2006
2008
2009
2011
2010
2012
2013
Dockable
windows
Expanded
fluvial
forecasting
including
boundary
change
Improved interface
Timeline of flood forecasting in Wales
Model improvements
Ensemble forecasting
Improved data feeds
2004
2005
2007
2006
2008
2009
2011
2010
2012
2013
+ + =
Timeline of flood forecasting in Wales
• No IT infrastructure
• No IT kit
• No established ways of working
Former EAW
Users
Former CCW
Users
Former FCW
UsersNRW
New organisation
• Building our own ICT
– World has changed – cloud
– Government Digital Services (GDS) “Cloud first or justify”
– Large System Integrators vs budgetary challenges
• Economic commitment
– Providing high quality skilled jobs in Wales
Early decisions
Former EAW
Users
Former CCW
Users
Former FCW
UsersNRW
Office 365
Cloud Services
Former EAW
Users
Former CCW
Users
Former FCW
UsersNRW
Office 365
Cloud Services
Former EAW
Users
Former CCW
Users
Former FCW
UsersNRW
Office 365
Cloud Services
Apprenticeship scheme
• First funded Microsoft Apprenticeship scheme in Wales
• 2 year apprenticeship with industry qualification
• Currently we have 9 apprentices
• Scheme has been adopted by other organisations
• Allows organic growth of our ICT Team
Early decisions
• Majority of applications run in
cloud
• Many of our servers are cloud
based
• We only pay when we are using
them
• We can “spin up” a server in
less than 5 minutes
• Applications are being
simplified as they are migrated
MyNRW Azure VPN Connections Mobile Deployment
CRM Office 365
Apprenticeship
Scheme
StarLIMS
NRW Kit RolloutIntranet DMS Internet
Yammer Lync VOIP Telephony Mobile Apps
Applications
2004
2005
2007
2006
2008
2009
2011
2010
2012
2013
2014
2015
Timeline of flood forecasting in Wales
Version upgrades
Expanded
coverage
Improved and
recalibrated models
Templates
Model schematics
Telemetry polling
User permissions
2004
2005
2007
2006
2008
2009
2011
2010
2012
2013
2014
2015
Timeline of flood forecasting in Wales
• Where have we been?
• Where are we now?

• Environment Agency replacing NFFS
• Natural Resources Wales establishing own capability
• Migrate existing NFFS for Wales
Wales’ forecasting system
Challenges
• Forecasting system which is hosted on
infrastructure based in a separate
organisation
• Forecasting system developed > 10 years
ago
• New organisation with limited resources
• Limited timescales
• Managing existing system whilst
developing the new system
Advantages
• Extensive configuration experience
• Established ways of working
• Open and flexible approach to IT
• Ability to utilise latest technological
innovations
• Opportunity to learn from
implementations of FEWS around the
world
• Where have we been?
• Where are we now?
• Where are we going?


Not just a ‘lift and shift’ of the current setup
Methods of access
Reporting
Sharing data
Archiving
Basic functionality of
supporting systems
Probabilistic forecasting
Dynamic assessment of risk
Establish our own capability
Way forward
Improved functionality
Not just a ‘lift and shift’ of the current setup
Methods of access
Reporting
Sharing data
Archiving
Basic functionality of
supporting systems
Probabilistic forecasting
Sharing data
Dynamic assessment of risk
Way forward
Establish our own capability
Improved functionality
Sharing data
Sharing data
Basic functionality of
supporting systems
Sharing dataBasic functionality of supporting systems
Basic functionality of supporting systems
Basic functionality of supporting systems
Basic functionality of supporting systemsImproved functionality
Improved functionality
Improved functionality
Improved functionality
Probabilistic forecasting
Improved functionalityProbabilistic forecasting
Probabilistic forecasting
• Understanding of uncertainty
• Better able to capture range of
risks
• Increased processing / cloud
computing
• Running all models with all
inputs
Probabilistic forecasting
Dynamic assessment of risk
Dynamic assessment of risk
Dynamic assessment of risk
• Real time updating of risk
based on the latest forecast
• Dynamic colouring of flood risk
areas
• Sharing data with professional
partners
Methods of access
Dynamic assessment of riskMethods of access
Methods of access
App / web access
Tailored to mobile working
Access forecast meteorological / hydrological data
Operational functionality
Full synch
Ability to run standalone
Full application
Minimal synch / no synch
Ability to run models and assess output
Operational functionality
Archiving
ArchivingMethods of access
Archiving
• Currently using standard FEWS archive
• We’ve done little development since implementation
• Retrieving data is not always successful
• Limited searchability and useability of data
• Local working practice to manually archive Local Data Stores – noting any exceedances
• How do we automate this more effectively?
• How do we combine archive with additional systems: telemetry data / historical data /
meteorological data?
• How do we tailor this for: training / post event analysis / model calibration or verification
/ report generation?
Reporting
ArchivingReporting
Reporting
Reporting
• Where have we been?
• Where are we now?
• Where are we going?



Any questions?

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DSD-INT 2015 - Towards new hydrological forecasting systems in Wales - Andrew How