Ecosystem Forecasting Testbed

Ecosystem Forecasting Testbed

David J. Schwab

NOAAGreat Lakes Environmental Research Laboratory

Ecological Modeling and Forecasting

Purpose is to develop, test, and implement ecological models on a variety of space and time scales to predict the impacts of physical, chemical, biological, and human induced change on ecosystems.

NOAA Science Workshop 2010 - Overarching Grand Challenge: Develop and apply holistic, integrated Earth system approaches to understand the processes that

connect changes in the atmosphere, ocean, space, land surface, and cryosphere with ecosystems, organisms and

humans over different scales.

NOAA Science Workshop 2010 - Overarching Grand Challenge: Develop and apply holistic, integrated Earth system approaches to understand the processes that

connect changes in the atmosphere, ocean, space, land surface, and cryosphere with ecosystems, organisms and

humans over different scales.

Regional Ecological Forecast System

Current Capabilties

Regional Ecological Forecast System

Current Capabilties• Observation

– Extensive observation systems and monitoring programs in the Great Lakes, connecting channels, and tributaries

• Modeling• Hydrodynamic, biogeochemical and biology models

(transport, nutrients, contaminants, populations, vulnerability)

• Water circulation models for the lakes and connecting channels

• Species population dynamics and disease models

• Research – Quasi-operational ecological forecasting and assessment of

ecosystem indicators backed by NOAA infrastructure and regional partnerships

Regional Ecological Forecast System

Regional Ecological Forecast System

• Products: – Warnings, watches, advisories, and information bulletins– Scenarios and outlooks

• Purpose– Scaleable to inform decisions for local to regional

management– Build on operational weather and water forecast

infrastructure and ecosystem research– Transition research results to applications and drive

research from operational feedback

• Comprehensive and integrated environmental forecast products & decision support services– Effective, reliable and quality controlled– Regional mitigation, adaptation, restoration and

recovery– Collaborative and community-based research,

operations, and sustainment

ObservationObservationss

EnvironmentEnvironmental Modelingal Modeling

ResearchResearch

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Products Products for Users for Users

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ToolsTools• Observations

– Continuum over spatial and temporal scales • Atmospheric-Ocean, Open-lake, Near-shore• River flow and flux, beaches and wetlands, watersheds• Land-surface biophysics • Weather and climate variables • Biogeochemistry and multiple species

– In situ, remote sampling, and process studies. • Models

– Heuristic and numerical – Regional circulation models– Linked physical, biogeochemical, and ecosystem

• Decision Support Services– Forecasts and Warnings, Bulletins and Outlooks– Forecast probabilities and uncertainties– Long-term Scenarios and Assessments– Decision support and adaptive tools,

• geospatial and interactive Maps

Great Lakes Forecasting ExamplesGreat Lakes Forecasting Examples

• Beach/Water Quality– Daily, Weekly (3-7-day), Seasonal – Outlooks and Lead times

• Living Resource Distribution– Fish Recruitment

• Annual biomass, including harvests and other related mortality/disease

• Dissolved Oxygen [DO] Predictions– Synoptic to seasonal (ECOFORE)

• Harmful Algal Bloom (Chlorophyll)– Initiation and land fall at all time scales– Drinking water and recreational water use

Beach/Water QualityMonitoring & Forecast System

Beach/Water QualityMonitoring & Forecast System

• Issue: Water quality is at risk due to microbial and chemical contamination and a threat to human and ecosystem health and economics

• Solution: Water (beach) quality guidance

• Operational Concept: Routinely generate forecasts and warnings daily, weekly, seasonal (including lead times) using hydrologic, waves, precipitation, circulation, transport turbidity, nutrients, waste, watershed and land models

• Collaborators: Include state and local managers, scientists, health workers, and regulators

• Output Product: Maps and decision support tools showing water (beach) quality index, bacterial content, water temperature, beach closures, water turbidity, categorical risk assessment

• Dissemination: Online and Media

• Outcome: Actions taken to improve Bay and public health, clean water, and promote improved land and resource management

Living Resource Distribution/Fish Recruitment Forecasts

Living Resource Distribution/Fish Recruitment Forecasts

• Issue: Fisheries managers require forecasts of recruitment to effectively manage the fishery on a year to year basis.

• Solution: Annual forecast of yellow perch recruitment.

• Operational Concept: Routinely generate forecasts and outlooks using spring river discharge information from observations and watershed and hydrology models.

• Collaborators: Include state managers, provincial mangers (Ontario, Canada), scientists, and fishers.

• Output Product: Abundance of yellow perch two years into the future.

• Dissemination: Online and Media

• Outcome: Management actions taken to determine annual commercial harvest and recreational fishing regulations prior to the fishing season.

Western Lake Erie showing Maumee River plume (discharge)

Detroit R. Plume

Maumee R. Plume

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Maumee R.

Model of perch survival based on discharge area

Dissolved Oxygen [DO]Monitoring & Forecast System

Dissolved Oxygen [DO]Monitoring & Forecast System

• Issue: Some areas of the Lake Erie have low oxygen levels threatening survival of species.

• Solution: Predictions and forecasts of hypoxia, including uncertainty related to nutrient loading and river flow

• Operational Concept: Routinely generate predictions and forecasts on synoptic to seasonal scales using data from hydrodynamic, circulation, watershed, atmospheric and water quality models

• Collaborators: Include state managers, scientists and fishers

• Output Product: Maps and decision support tools showing concentration and dead zones, habitat suitability, and marine assessments

• Dissemination: Online and Media

• Outcome: Regional actions taken to promote restoration and recovery

Harmful Algal Bloom Monitoring & Forecast System

Harmful Algal Bloom Monitoring & Forecast System

• Issue: HABs threaten human health and natural resources

• Solution: Predict nature, extent, development and movement of HABs

• Operational Concept: Routinely generate forecasts using data from hydrodynamic computer models and NOAA satellites.

• Collaborators: Include state natural resource partners

• Output Product: Near-real time maps showing when and where to expect initiation and landfall

• Dissemination: Online and Media

• Outcome: Actions taken to monitor and mitigate HAB effects.

MODIS image of western Lake Erie 9/3/11

Prediction from Experimental Lake Erie Harmful Algal Bloom Bulletin 8/25/11

Ecological Forecasting System Transition to Operations

Ecological Forecasting System Transition to Operations

User Requirements

State, Federal, other management agencies (State Depts. of Health, Fisheries; Nat'l Marine Sanctuaries, Protected Species)

Develop concepts, models, sensors

Research(separate program)

OperationsPre-operationsTransition(Development)

Validation

Product types,

Training matl,Analysts

Data integration,

Data access

Forecast development

Transfer models

Forecasts (bulletins),Respond to

users,Access and

run data sets,User

interaction

Forecast evaluation,

Product usefulness,

Product effectiveness,Annual User

feedback

Various researchers (NOAA, NASA, NSF)

Technical Oversight Group (NOAA)Researchers

NOAA and State partners NOAA and

State partners NOAA andTechnical Oversight GroupKey Users GroupKey Users Groups

Next StepsNext Steps

• Formally Establish Ecosystem Modeling Testbed– Extend multi-agency, academic, and regional

participation– Engage with user community in developing

forecast and management framework– Strengthen regional observation and data systems

• Deliver operational forecast products and tools– Integration of a suite of hydrodynamic and

biological models– Forecast products for living resource distributions,

hypoxic conditions, water quality, beach closures, algal blooms and pathogens

Unresolved QuestionsUnresolved Questions

• Regional or national?

• Academic/Federal mix?

• Research to operations mix?

• Product dissemination mechanisms?