Marine Environmental Prediction Networks

Networks are listed alphabetically by principal investigator

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Interdisciplinary Marine Environmental Prediction in the Atlantic Coastal Region

www.cmep.ca/bay

CFCAS Funding: $4,726,611 over 5 years (plus infrastructure funding from CFI and other sources, and in-kind support from DFO)

Duration: April 2003–March 2008

Network Leaders: Alex Hay and John Cullen, Dalhousie University 

Description: Technological advancements have made real-time observation and forecasting of physical and biological processes off our ocean coasts possible. The researchers involved in this initiative used a network of automated environmental sensors in Lunenburg Bay to collect high-resolution data on marine conditions. The continuous observations helped develop a capability for real-time forecasting of physical, chemical and biological conditions. The work improved forecast models, including forecasts of coastal flooding and sea surges, and had many other applications, e.g., targetted sampling of algal blooms and other environmental events.

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Global Ocean-Atmosphere Prediction and Predictability Network (GOAPP)

http://www.goapp.ca

CFCAS Funding: $2,996,000 over 4 years

Duration: July 2006–June 2010

Network Leaders: Keith Thompson and Hal Ritchie, Dalhousie University

The GOAPP Network brings together ocean and atmospheric researchers from across Canada to improve forecasts of the ocean and atmosphere on time scales from days to decades and spatial scales of tens to tens of thousands of kilometers. In addition to better predictions, the Network will also produce a new generation of multi-skilled and interdisciplinary research scientists who will cross the traditional boundaries defined by time scale (weather and climate) and scientific discipline (oceanography and atmospheric science).

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