Articles | Volume 16, issue 23
https://doi.org/10.5194/gmd-16-6943-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-16-6943-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A high-resolution physical–biogeochemical model for marine resource applications in the northwest Atlantic (MOM6-COBALT-NWA12 v1.0)
Andrew C. Ross
CORRESPONDING AUTHOR
NOAA OAR Geophysical Fluid Dynamics Laboratory, Princeton, NJ, USA
Charles A. Stock
NOAA OAR Geophysical Fluid Dynamics Laboratory, Princeton, NJ, USA
Alistair Adcroft
NOAA OAR Geophysical Fluid Dynamics Laboratory, Princeton, NJ, USA
Enrique Curchitser
Department of Environmental Sciences, Rutgers University, New Brunswick, NJ, USA
Robert Hallberg
NOAA OAR Geophysical Fluid Dynamics Laboratory, Princeton, NJ, USA
Matthew J. Harrison
NOAA OAR Geophysical Fluid Dynamics Laboratory, Princeton, NJ, USA
Katherine Hedstrom
College of Fisheries and Ocean Sciences, University of Alaska Fairbanks, Fairbanks, AK, USA
Niki Zadeh
NOAA OAR Geophysical Fluid Dynamics Laboratory, Princeton, NJ, USA
Michael Alexander
NOAA Physical Sciences Laboratory, Boulder, CO, USA
Wenhao Chen
Atmospheric and Oceanic Sciences Program, Princeton University, Princeton, NJ, USA
Elizabeth J. Drenkard
NOAA OAR Geophysical Fluid Dynamics Laboratory, Princeton, NJ, USA
Hubert du Pontavice
Atmospheric and Oceanic Sciences Program, Princeton University, Princeton, NJ, USA
Raphael Dussin
NOAA OAR Geophysical Fluid Dynamics Laboratory, Princeton, NJ, USA
University Corporation for Atmospheric Research, Boulder, CO, USA
Fabian Gomez
Northern Gulf Institute, Mississippi State University, Starkville, MS, USA
NOAA OAR Atlantic Oceanographic and Meteorological Laboratory, Miami, FL, USA
Jasmin G. John
NOAA OAR Atlantic Oceanographic and Meteorological Laboratory, Miami, FL, USA
Dujuan Kang
School of Oceanography, Shanghai Jiao Tong University, Shanghai, China
Department of Environmental Sciences, Rutgers University, New Brunswick, NJ, USA
Diane Lavoie
Maurice Lamontagne Institute, Fisheries and Oceans Canada, Mont-Joli, Québec, Canada
Laure Resplandy
Department of Geosciences, Princeton University, Princeton, NJ, USA
High Meadows Environmental Institute, Princeton University, Princeton, NJ, USA
Alizée Roobaert
Department of Geosciences, Environment and Society – BGeoSys, Université Libre de Bruxelles, Brussels, CP160/02, Belgium
Vincent Saba
NOAA Northeast Fisheries Science Center, Geophysical Fluid Dynamics Laboratory, Princeton, NJ, USA
Sang-Ik Shin
NOAA Physical Sciences Laboratory, Boulder, CO, USA
Samantha Siedlecki
Department of Marine Sciences, University of Connecticut, Groton, CT, USA
James Simkins
Department of Environmental Sciences, Rutgers University, New Brunswick, NJ, USA
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Cited
3 citations as recorded by crossref.
- regional-mom6: A Python package for automatic generation of regional configurations for the Modular Ocean Model 6 A. Barnes et al. 10.21105/joss.06857
- A high-resolution physical–biogeochemical model for marine resource applications in the northwest Atlantic (MOM6-COBALT-NWA12 v1.0) A. Ross et al. 10.5194/gmd-16-6943-2023
- NOAA fisheries research geared towards climate-ready living marine resource management in the northeast United States V. Saba et al. 10.1371/journal.pclm.0000323
2 citations as recorded by crossref.
- A high-resolution physical–biogeochemical model for marine resource applications in the northwest Atlantic (MOM6-COBALT-NWA12 v1.0) A. Ross et al. 10.5194/gmd-16-6943-2023
- NOAA fisheries research geared towards climate-ready living marine resource management in the northeast United States V. Saba et al. 10.1371/journal.pclm.0000323
Latest update: 20 Nov 2024
Short summary
We evaluate a model for northwest Atlantic Ocean dynamics and biogeochemistry that balances high resolution with computational economy by building on the new regional features in the MOM6 ocean model and COBALT biogeochemical model. We test the model's ability to simulate impactful historical variability and find that the model simulates the mean state and variability of most features well, which suggests the model can provide information to inform living-marine-resource applications.
We evaluate a model for northwest Atlantic Ocean dynamics and biogeochemistry that balances high...