GEOSS Great Lakes Testbed connection to Adaptive Management Wendy Leger, Environment Canada Canadian...
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Transcript of GEOSS Great Lakes Testbed connection to Adaptive Management Wendy Leger, Environment Canada Canadian...
GEOSS Great Lakes Testbed connection to Adaptive
Management
Wendy Leger, Environment CanadaCanadian Co-Chair,
International Great Lakes-St. Lawrence RiverAdaptive Management Task Team
GEOSS GL Testbed MeetingWindsor, ONFeb 6, 2013
IUGLS Adaptive Management Strategy 2
Challenges Affecting Water Level Risk
Extreme Water LevelsBigger more frequent stormsGlacial isostatic adjustmentLess ice coverChanges in conveyanceErosion and depositionChanges in demographicsActions taken along the shore
2/9/2012
Why Adaptive Management?Coordination is key to solutionsMonitoring is the only way to know how things are changing
Getting the right information to those who need it is critical to solving problems
Modern Coordinated
Data
Coastal Manage
rs
Interests
Conflicting messages
Outdated Data
Decision
Makers
State of the art forecast model
data
Uncoordinated data
Consistent Messages
IUGLS
Timeline (years)
End of
Study
Why Adaptive Management?Coordination is key to solutionsMonitoring is the only way to know how things are changing
Getting the right information to those who need it is critical to solving problemsAdjust and realign as it is determined what is working
Bursts of effort through intermittent studies does not lead to the most effective use of resources
Adaptive Mgmnt
Data, models & tools
Link Water Quality and Water Quantity into all Elements
Elements of the proposed GLSLR AM Plan
I. Coordinated Hydroclimate Monitoring and Modelling
II. Tracking of Key Performance Indicators and On-going Risk Assessment
III. Evaluation and Decision Tools
IV. Information Management and Distribution
V. Outreach and Engagement
VI. Collaborative Regional Adaptive Management Pilots
Bi-National Hydroclimatic
monitoring and modelling
1
Performance indicators and risk
assessment
2
Evaluation and Decision Tools
3
Information Management
and Distribution
4Outreach and Engagement
5
Collaborative Regional
Pilots
6
Also requires tracking and communicating success of the AM Plan
6
IJC – International Joint CommissionCCGLHHD – Coordinating Committee on Great Lakes Basic Hydraulic and Hydrologic DataLOSLR – Lake Ontario – St. Lawrence RiverOAG – Operational Advisory Group
GLSLRLevels
Advisory Board
LOSLR Board
SuperiorBoard
Niagara Board
OAG Reg. Reps.
Vertical Control
Hydraulics
CCGLHHD
Hydrology
Task Team Proposed Model
Networks
Bi-National Hydroclimatic
monitoring and modelling
1
Performance indicators and risk
assessment
2
Plan Evaluation and Decision
Tools
3
Information Management
and Distribution
4Outreach and Engagement
5
Collaborative Regional
Pilots
6LOSLR AM Committee
7
Network ConceptGLSLRLevels
Advisory Board
Networks
Hydroclimatic
1
Indicators & Risk
Assessment
2
Evaluation and Decision
Tools
3
Information Management
4Outreach
5
Regional Collaboratives
(Pilots)
6
Networks are flexible associations of technical experts unlike a standing committee
Network participation may change over time
As different expertise is required
As agency/organization programs change
As new science questions/challenges emerge
Networks may draw from existing, overlapping organizations
Networks are linked through the Levels Advisory Board
8
USACE
USGS
EC
DFO
Province of
Quebec
Universities
Pacific Climate Impacts
Consortium
NOAA
States and
Provinces
EC
NOAA
NOAA
NRCan
EC
CCGLHHD
OURANOS
GLERL
IPCC
Climate Change Annex
(GLWQA)
OCCAIR
HydroclimateNetwork
HYDROCLIMATE NETWORK– Improved Monitoring and Modeling of Water Balance
Trilateral Partnersh
ip
Universities
Province of
Ontario
Example of Network – not intended to be inclusive
9
Information Management and DistributionPurpose:
Establish information management architecture, protocols and governance for managing, vetting and distributing hydroclimate, performance indicators, and risk assessment data and information to those who need it for decision-making
Network Includes:Key data usersIM specialistsExisting Great Lakes – St. Lawrence River data
management networks (e.g. GLOS, GLIN, NOAA, GEOSS GLTestbed, WRIP etc.)
GLSLRLevels
Advisory Board
GEOSS GLTestbedCan/should the Great Lakes Testbed be the hub for
information management for the Great Lakes-St. Lawrence River?
Can the Testbed be the start of the IM Network? Could the Testbed look to seek funds for supporting
binational IM effort?Can this serve more than one purpose? e.g. AM, GLWQA,
Regional BodyHow do we see the GL Testbed involved and its relationship
to other networks (GLIN, WRIP, agency sites etc.)