NNA Research Teams


Cryosphere Dynamics
Marco Tedesco and Patrick Alexander, Cryosphere Processes Laboratory, Lamont-Doherty Earth Observatory, Columbia University
Objectives: Generate Arctic freshwater input for ocean modeling.  

Physical-Biological Modeling
Eric Chassignet, Michael Stukel, and Xiaobiao Xu, Florida State University
Objectives: understand the role of atmospheric forcing and freshwater fluxes on circulation and nutrient fluxes into the northwestern Atlantic shelf region; determine how altered circulation, nutrients, and temperature modify plankton food web and provide model fields as output

Biological Oceanography
Joaquim Goes and Helga Gomes, Columbia University
Objectives: more refined satellite estimates of net primary productivity for the US East Coast and a synthesis of our datasets.

Ecosystem Modeling
Damian Brady and Andrew Goode, University of Maine
Objectives: A lobster larval life history model will simulate the drift, growth, and mortality of lobster larvae as determined by coastal flow fields, water temperature at the surface and bottom, and the abundance of the zooplankton Calanus finmarchicus. 

Lobster Population Modeling
Kathy Mills and Miguel Barajas, Gulf of Maine Research Institute
Objectives: We will expand upon an existing lobster population model (Le Bris et al., 2018) and extend the model domain to span from southern New England to Newfoundland-Labrador and enhance the spatial resolution to operate at the scale of statistical areas in the U.S. and management areas in Canadian waters. 

Bio-economic Modeling
Kanae Tokunaga and Jay Kim, Gulf of Maine Research Institute
Objectives: This project proposes an ‘encultured’ bio-economic modeling approach using an ABM framework that will aid understanding of how the lived experiences of people influence decisions associated with fishing technologies (e.g., vessel size), fishing locations, and overall fishing objectives. The development of the encultured ABM will be informed by the socioeconomic indicators (3.3.2) and the diagnostic analysis (3.3.3) to incorporate not only resource and fishery governance constraints but also cultural constraints.

Social Indicators
Josh Stoll, Christine Beitl, Theresa Burnham, Heather Leslie, Joelle Kilchenmann, University of Maine