Preprints
https://doi.org/10.5194/egusphere-2026-5844
https://doi.org/10.5194/egusphere-2026-5844
08 Oct 2026
 | 08 Oct 2026
Status: this preprint is open for discussion and under review for Ocean Science (OS).

Seasonal forecasts of Northeast Pacific physics and biogeochemistry using MOM6-COBALT-NEP10k

Michael Jacox, Dmitry Dukhovskoy, Jessie Liu, Michael Alexander, Elizabeth Drenkard, Andrew Ross, Natalie Freeman, Dillon Amaya, Steven Bograd, Allison Cluett, Nicole Lovenduski, Samuel Mogen, Mercedes Pozo Buil, Charles Stock, Wei Cheng, Albert Hermann, Liwei Jia, Nathaniel Johnson, Kelly Kearney, Colleen McHugh, and Darren Pilcher

Abstract. Seasonal ocean forecasts offer critical insights for marine resource management, particularly in regions like the Northeast Pacific where ecosystem variability can have profound impacts on marine life, fisheries, and coastal communities. Under NOAA’s Changing Ecosystems and Fisheries Initiative, we developed a seasonal ocean forecasting system for the Northeast Pacific based on the Modular Ocean Model version 6 (MOM6) ocean model coupled to the Sea Ice Simulator version 2 (SIS2) sea ice model and the Carbon, Ocean Biogeochemistry, and Lower Trophics (COBALT) biogeochemical model. The model domain extends from south of Baja California to the Chukchi Sea with ~10 km horizontal resolution. To evaluate forecast skill, we produced a 32-year set of retrospective forecasts with 10 ensemble members, four initializations per year, and lead times up to 12 months. Forcing for the forecasts was derived from the Geophysical Fluid Dynamics Laboratory's Seamless System for Prediction and Earth System Research (GFDL-SPEAR) global climate forecast system. Forecasts were assessed using ocean reanalyses and in situ observations, focusing on three ecologically- and societally-relevant variables: sea surface temperature, bottom temperature, and bottom oxygen concentration. Forecast skill varies by region, variable, and season, but generally remains high (anomaly correlation coefficient; ACC>0.5) for lead times of at least several months across all variables and regions. The downscaled forecasts reduce errors relative to the SPEAR global forecasts and in some cases increase ACC, while also enabling predictions of biogeochemical variables. These new forecasts compare favorably to previous downscaled ocean forecasts off the U.S. west coast, with increased ACC and small forecast errors that may be reduced further by future methodological changes. Routine real-time forecasts, available starting in October 2026, will support proactive decision making by managers, industry, and coastal communities.

Competing interests: At least one of the (co-)authors serves as editor for the special issue to which this paper belongs.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. While Copernicus Publications makes every effort to include appropriate place names, the final responsibility lies with the authors. Views expressed in the text are those of the authors and do not necessarily reflect the views of the publisher.
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Michael Jacox, Dmitry Dukhovskoy, Jessie Liu, Michael Alexander, Elizabeth Drenkard, Andrew Ross, Natalie Freeman, Dillon Amaya, Steven Bograd, Allison Cluett, Nicole Lovenduski, Samuel Mogen, Mercedes Pozo Buil, Charles Stock, Wei Cheng, Albert Hermann, Liwei Jia, Nathaniel Johnson, Kelly Kearney, Colleen McHugh, and Darren Pilcher

Status: open (until 03 Dec 2026)

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Michael Jacox, Dmitry Dukhovskoy, Jessie Liu, Michael Alexander, Elizabeth Drenkard, Andrew Ross, Natalie Freeman, Dillon Amaya, Steven Bograd, Allison Cluett, Nicole Lovenduski, Samuel Mogen, Mercedes Pozo Buil, Charles Stock, Wei Cheng, Albert Hermann, Liwei Jia, Nathaniel Johnson, Kelly Kearney, Colleen McHugh, and Darren Pilcher
Michael Jacox, Dmitry Dukhovskoy, Jessie Liu, Michael Alexander, Elizabeth Drenkard, Andrew Ross, Natalie Freeman, Dillon Amaya, Steven Bograd, Allison Cluett, Nicole Lovenduski, Samuel Mogen, Mercedes Pozo Buil, Charles Stock, Wei Cheng, Albert Hermann, Liwei Jia, Nathaniel Johnson, Kelly Kearney, Colleen McHugh, and Darren Pilcher
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Latest update: 08 Oct 2026
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Short summary
We present a new system to predict conditions in the Northeast Pacific Ocean up to one year in advance. By comparing past forecasts with ocean measurements, we show that we can accurately predict temperature and oxygen levels several months in advance. These predictions will soon be available to the public, enabling coastal communities, managers, and industries to make better proactive decisions.
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