Articles | Volume 20, issue 6
https://doi.org/10.5194/os-20-1631-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/os-20-1631-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
10 Dec 2024
Research article |
| 10 Dec 2024
| 10 Dec 2024
Dynamically downscaled seasonal ocean forecasts for North American east coast ecosystems
Andrew C. Ross
CORRESPONDING AUTHOR
NOAA/OAR/Geophysical Fluid Dynamics Laboratory, 201 Forrestal Road, Princeton, NJ 08540, USA
Charles A. Stock
NOAA/OAR/Geophysical Fluid Dynamics Laboratory, 201 Forrestal Road, Princeton, NJ 08540, USA
Vimal Koul
Princeton University Cooperative Institute for Modeling the Earth System, 201 Forrestal Road, Princeton, NJ 08540, USA
Thomas L. Delworth
NOAA/OAR/Geophysical Fluid Dynamics Laboratory, 201 Forrestal Road, Princeton, NJ 08540, USA
Feiyu Lu
NOAA/OAR/Geophysical Fluid Dynamics Laboratory, 201 Forrestal Road, Princeton, NJ 08540, USA
Andrew Wittenberg
NOAA/OAR/Geophysical Fluid Dynamics Laboratory, 201 Forrestal Road, Princeton, NJ 08540, USA
Michael A. Alexander
NOAA/OAR/Physical Sciences Laboratory, 325 Broadway, Boulder, CO 80305, USA
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Enhui Liao, Laure Resplandy, Fan Yang, Yangyang Zhao, Sam Ditkovsky, Manon Malsang, Jenna Pearson, Andrew C. Ross, Robert Hallberg, and Charles Stock
EGUsphere, https://doi.org/10.5194/egusphere-2024-3646, https://doi.org/10.5194/egusphere-2024-3646, 2025
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We introduce a regional ocean model of the northern Indian Ocean, a region central to the livelihoods and economies of countries that comprise about one-third of the world’s population. The model successfully represents the key physical and biogeochemical features of the region and is well suited for physical and biogeochemical studies on timescales ranging from weeks to decades, in addition to supporting marine resource applications and management in the northern Indian Ocean.
Elizabeth J. Drenkard, Charles A. Stock, Andrew C. Ross, Yi-Cheng Teng, Theresa Morrison, Wei Cheng, Alistair Adcroft, Enrique Curchitser, Raphael Dussin, Robert Hallberg, Claudine Hauri, Katherine Hedstrom, Albert Hermann, Michael G. Jacox, Kelly A. Kearney, Remi Pages, Darren J. Pilcher, Mercedes Pozo Buil, Vivek Seelanki, and Niki Zadeh
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We made a new regional ocean model to assist fisheries and ecosystem managers make decisions in the Northeast Pacific Ocean (NEP). We found that the model did well simulating past ocean conditions like temperature, and nutrient and oxygen levels, and can even reproduce metrics used by and important to ecosystem managers.
Andrew C. Ross, Charles A. Stock, Alistair Adcroft, Enrique Curchitser, Robert Hallberg, Matthew J. Harrison, Katherine Hedstrom, Niki Zadeh, Michael Alexander, Wenhao Chen, Elizabeth J. Drenkard, Hubert du Pontavice, Raphael Dussin, Fabian Gomez, Jasmin G. John, Dujuan Kang, Diane Lavoie, Laure Resplandy, Alizée Roobaert, Vincent Saba, Sang-Ik Shin, Samantha Siedlecki, and James Simkins
Geosci. Model Dev., 16, 6943–6985, https://doi.org/10.5194/gmd-16-6943-2023, https://doi.org/10.5194/gmd-16-6943-2023, 2023
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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.
Fabian A. Gomez, Sang-Ki Lee, Charles A. Stock, Andrew C. Ross, Laure Resplandy, Samantha A. Siedlecki, Filippos Tagklis, and Joseph E. Salisbury
Earth Syst. Sci. Data, 15, 2223–2234, https://doi.org/10.5194/essd-15-2223-2023, https://doi.org/10.5194/essd-15-2223-2023, 2023
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We present a river chemistry and discharge dataset for 140 rivers in the United States, which integrates information from the Water Quality Database of the US Geological Survey (USGS), the USGS’s Surface-Water Monthly Statistics for the Nation, and the U.S. Army Corps of Engineers. This dataset includes dissolved inorganic carbon and alkalinity, two key properties to characterize the carbonate system, as well as nutrient concentrations, such as nitrate, phosphate, and silica.
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EGUsphere, https://doi.org/10.5194/egusphere-2025-1229, https://doi.org/10.5194/egusphere-2025-1229, 2025
This preprint is open for discussion and under review for Geoscientific Model Development (GMD).
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EGUsphere, https://doi.org/10.5194/egusphere-2024-3646, https://doi.org/10.5194/egusphere-2024-3646, 2025
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We introduce a regional ocean model of the northern Indian Ocean, a region central to the livelihoods and economies of countries that comprise about one-third of the world’s population. The model successfully represents the key physical and biogeochemical features of the region and is well suited for physical and biogeochemical studies on timescales ranging from weeks to decades, in addition to supporting marine resource applications and management in the northern Indian Ocean.
Elizabeth J. Drenkard, Charles A. Stock, Andrew C. Ross, Yi-Cheng Teng, Theresa Morrison, Wei Cheng, Alistair Adcroft, Enrique Curchitser, Raphael Dussin, Robert Hallberg, Claudine Hauri, Katherine Hedstrom, Albert Hermann, Michael G. Jacox, Kelly A. Kearney, Remi Pages, Darren J. Pilcher, Mercedes Pozo Buil, Vivek Seelanki, and Niki Zadeh
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We made a new regional ocean model to assist fisheries and ecosystem managers make decisions in the Northeast Pacific Ocean (NEP). We found that the model did well simulating past ocean conditions like temperature, and nutrient and oxygen levels, and can even reproduce metrics used by and important to ecosystem managers.
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Modeling global freshwater solid and nutrient loads, in both magnitude and form, is imperative for understanding emerging eutrophication problems. Such efforts, however, have been challenged by the difficulty of balancing details of freshwater biogeochemical processes with limited knowledge, input, and validation datasets. Here we develop a global freshwater model that resolves intertwined algae, solid, and nutrient dynamics and provide performance assessment against measurement-based estimates.
Mathilde Dugenne, Marco Corrales-Ugalde, Jessica Y. Luo, Rainer Kiko, Todd D. O'Brien, Jean-Olivier Irisson, Fabien Lombard, Lars Stemmann, Charles Stock, Clarissa R. Anderson, Marcel Babin, Nagib Bhairy, Sophie Bonnet, Francois Carlotti, Astrid Cornils, E. Taylor Crockford, Patrick Daniel, Corinne Desnos, Laetitia Drago, Amanda Elineau, Alexis Fischer, Nina Grandrémy, Pierre-Luc Grondin, Lionel Guidi, Cecile Guieu, Helena Hauss, Kendra Hayashi, Jenny A. Huggett, Laetitia Jalabert, Lee Karp-Boss, Kasia M. Kenitz, Raphael M. Kudela, Magali Lescot, Claudie Marec, Andrew McDonnell, Zoe Mériguet, Barbara Niehoff, Margaux Noyon, Thelma Panaïotis, Emily Peacock, Marc Picheral, Emilie Riquier, Collin Roesler, Jean-Baptiste Romagnan, Heidi M. Sosik, Gretchen Spencer, Jan Taucher, Chloé Tilliette, and Marion Vilain
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Andrew C. Ross, Charles A. Stock, Alistair Adcroft, Enrique Curchitser, Robert Hallberg, Matthew J. Harrison, Katherine Hedstrom, Niki Zadeh, Michael Alexander, Wenhao Chen, Elizabeth J. Drenkard, Hubert du Pontavice, Raphael Dussin, Fabian Gomez, Jasmin G. John, Dujuan Kang, Diane Lavoie, Laure Resplandy, Alizée Roobaert, Vincent Saba, Sang-Ik Shin, Samantha Siedlecki, and James Simkins
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Weiyi Tang, Bess B. Ward, Michael Beman, Laura Bristow, Darren Clark, Sarah Fawcett, Claudia Frey, François Fripiat, Gerhard J. Herndl, Mhlangabezi Mdutyana, Fabien Paulot, Xuefeng Peng, Alyson E. Santoro, Takuhei Shiozaki, Eva Sintes, Charles Stock, Xin Sun, Xianhui S. Wan, Min N. Xu, and Yao Zhang
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Fabian A. Gomez, Sang-Ki Lee, Charles A. Stock, Andrew C. Ross, Laure Resplandy, Samantha A. Siedlecki, Filippos Tagklis, and Joseph E. Salisbury
Earth Syst. Sci. Data, 15, 2223–2234, https://doi.org/10.5194/essd-15-2223-2023, https://doi.org/10.5194/essd-15-2223-2023, 2023
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We present a river chemistry and discharge dataset for 140 rivers in the United States, which integrates information from the Water Quality Database of the US Geological Survey (USGS), the USGS’s Surface-Water Monthly Statistics for the Nation, and the U.S. Army Corps of Engineers. This dataset includes dissolved inorganic carbon and alkalinity, two key properties to characterize the carbonate system, as well as nutrient concentrations, such as nitrate, phosphate, and silica.
Alban Planchat, Lester Kwiatkowski, Laurent Bopp, Olivier Torres, James R. Christian, Momme Butenschön, Tomas Lovato, Roland Séférian, Matthew A. Chamberlain, Olivier Aumont, Michio Watanabe, Akitomo Yamamoto, Andrew Yool, Tatiana Ilyina, Hiroyuki Tsujino, Kristen M. Krumhardt, Jörg Schwinger, Jerry Tjiputra, John P. Dunne, and Charles Stock
Biogeosciences, 20, 1195–1257, https://doi.org/10.5194/bg-20-1195-2023, https://doi.org/10.5194/bg-20-1195-2023, 2023
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Ocean alkalinity is critical to the uptake of atmospheric carbon and acidification in surface waters. We review the representation of alkalinity and the associated calcium carbonate cycle in Earth system models. While many parameterizations remain present in the latest generation of models, there is a general improvement in the simulated alkalinity distribution. This improvement is related to an increase in the export of biotic calcium carbonate, which closer resembles observations.
Claudine Hauri, Cristina Schultz, Katherine Hedstrom, Seth Danielson, Brita Irving, Scott C. Doney, Raphael Dussin, Enrique N. Curchitser, David F. Hill, and Charles A. Stock
Biogeosciences, 17, 3837–3857, https://doi.org/10.5194/bg-17-3837-2020, https://doi.org/10.5194/bg-17-3837-2020, 2020
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The coastal ecosystem of the Gulf of Alaska (GOA) is especially vulnerable to the effects of ocean acidification and climate change. To improve our conceptual understanding of the system, we developed a new regional biogeochemical model setup for the GOA. Model output suggests that bottom water is seasonally high in CO2 between June and January. Such extensive periods of reoccurring high CO2 may be harmful to ocean acidification-sensitive organisms.
Lester Kwiatkowski, Olivier Torres, Laurent Bopp, Olivier Aumont, Matthew Chamberlain, James R. Christian, John P. Dunne, Marion Gehlen, Tatiana Ilyina, Jasmin G. John, Andrew Lenton, Hongmei Li, Nicole S. Lovenduski, James C. Orr, Julien Palmieri, Yeray Santana-Falcón, Jörg Schwinger, Roland Séférian, Charles A. Stock, Alessandro Tagliabue, Yohei Takano, Jerry Tjiputra, Katsuya Toyama, Hiroyuki Tsujino, Michio Watanabe, Akitomo Yamamoto, Andrew Yool, and Tilo Ziehn
Biogeosciences, 17, 3439–3470, https://doi.org/10.5194/bg-17-3439-2020, https://doi.org/10.5194/bg-17-3439-2020, 2020
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We assess 21st century projections of marine biogeochemistry in the CMIP6 Earth system models. These models represent the most up-to-date understanding of climate change. The models generally project greater surface ocean warming, acidification, subsurface deoxygenation, and euphotic nitrate reductions but lesser primary production declines than the previous generation of models. This has major implications for the impact of anthropogenic climate change on marine ecosystems.
Riley X. Brady, Nicole S. Lovenduski, Michael A. Alexander, Michael Jacox, and Nicolas Gruber
Biogeosciences, 16, 329–346, https://doi.org/10.5194/bg-16-329-2019, https://doi.org/10.5194/bg-16-329-2019, 2019
Derek P. Tittensor, Tyler D. Eddy, Heike K. Lotze, Eric D. Galbraith, William Cheung, Manuel Barange, Julia L. Blanchard, Laurent Bopp, Andrea Bryndum-Buchholz, Matthias Büchner, Catherine Bulman, David A. Carozza, Villy Christensen, Marta Coll, John P. Dunne, Jose A. Fernandes, Elizabeth A. Fulton, Alistair J. Hobday, Veronika Huber, Simon Jennings, Miranda Jones, Patrick Lehodey, Jason S. Link, Steve Mackinson, Olivier Maury, Susa Niiranen, Ricardo Oliveros-Ramos, Tilla Roy, Jacob Schewe, Yunne-Jai Shin, Tiago Silva, Charles A. Stock, Jeroen Steenbeek, Philip J. Underwood, Jan Volkholz, James R. Watson, and Nicola D. Walker
Geosci. Model Dev., 11, 1421–1442, https://doi.org/10.5194/gmd-11-1421-2018, https://doi.org/10.5194/gmd-11-1421-2018, 2018
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Model intercomparison studies in the climate and Earth sciences communities have been crucial for strengthening future projections. Given the speed and magnitude of anthropogenic change in the marine environment, the time is ripe for similar comparisons among models of fisheries and marine ecosystems. We describe the Fisheries and Marine Ecosystem Model Intercomparison Project, which brings together the marine ecosystem modelling community to inform long-term projections of marine ecosystems.
Giuliana Turi, Michael Alexander, Nicole S. Lovenduski, Antonietta Capotondi, James Scott, Charles Stock, John Dunne, Jasmin John, and Michael Jacox
Ocean Sci., 14, 69–86, https://doi.org/10.5194/os-14-69-2018, https://doi.org/10.5194/os-14-69-2018, 2018
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A high-resolution global model was used to study the influence of El Niño/La Niña events on the California Current System (CalCS). The mean surface oxygen (O2) response extends well offshore, where the pH response occurs within ~ 100 km of the coast. The surface O2 (pH) is primarily driven by temperature (upwelling) changes. Below 100 m, anomalously low O2 and low pH occurred during La Niña events near the coast, potentially stressing the ecosystem, but there are large variations between events.
C. A. Stock, J. P. Dunne, and J. G. John
Biogeosciences, 11, 7125–7135, https://doi.org/10.5194/bg-11-7125-2014, https://doi.org/10.5194/bg-11-7125-2014, 2014
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Climate change projections suggest large regional ocean productivity shifts for mesozooplankton, an important food resource for fish, which are amplified relative to changes in phytoplankton production. Amplification is attributed to changes in planktonic food web dynamics under global warming. Results have implications for regional economies and food security. Improved understanding of the response of plankton food webs to climate change is essential to refine amplification estimates.
S. McGregor, A. Timmermann, M. H. England, O. Elison Timm, and A. T. Wittenberg
Clim. Past, 9, 2269–2284, https://doi.org/10.5194/cp-9-2269-2013, https://doi.org/10.5194/cp-9-2269-2013, 2013
Related subject area
Approach: Numerical Models | Properties and processes: Climate and modes of variability
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Seafloor marine heatwaves outpace surface events in future on the northwest European shelf
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Davide Bonaldo, Sandro Carniel, Renato R. Colucci, Cléa Denamiel, Petra Pranić, Fabio Raicich, Antonio Ricchi, Lorenzo Sangelantoni, Ivica Vilibić, and Maria Letizia Vitelletti
Ocean Sci., 21, 1003–1031, https://doi.org/10.5194/os-21-1003-2025, https://doi.org/10.5194/os-21-1003-2025, 2025
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We present a high-resolution modelling effort to investigate the possible end-of-century evolution of the main physical processes in the Adriatic Sea in a severe climate change scenario, with an ensemble approach (i.e. use of multiple simulations) allowing us to control the uncertainty of the predictions. Our model exhibits a satisfactory capability to reproduce the recent past and provides a basis for a set of multidisciplinary studies in this area over a multi-decadal horizon.
Antonios Parasyris, Vassiliki Metheniti, Nikolaos Kampanis, and Sofia Darmaraki
Ocean Sci., 21, 897–912, https://doi.org/10.5194/os-21-897-2025, https://doi.org/10.5194/os-21-897-2025, 2025
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The Mediterranean faces more frequent and intense marine heat waves, harming ecosystems and fisheries. Using machine learning, we developed a model to forecast these events up to 7 d in the future, outperforming traditional methods. This approach enables faster, accurate forecasts, helping authorities mitigate impacts and protect marine resources.
Andrea Lira Loarca and Giovanni Besio
Ocean Sci., 21, 767–785, https://doi.org/10.5194/os-21-767-2025, https://doi.org/10.5194/os-21-767-2025, 2025
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A new method improves the accuracy of climate models by adjusting wave spectrum simulations in the Mediterranean Sea. It corrects biases and accounts for changes in wave patterns due to climate change, such as shifts in direction and frequency. This technique was applied to multiple climate models, assessing future wave conditions for mid-century and end-of-century scenarios. The results underline the importance of precise corrections for better predicting how waves may evolve as the climate changes.
Cléa Denamiel, Iva Tojčić, and Petra Pranić
Ocean Sci., 21, 37–62, https://doi.org/10.5194/os-21-37-2025, https://doi.org/10.5194/os-21-37-2025, 2025
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We use a high-resolution atmosphere–ocean model to project Adriatic Dense Water dynamics under extreme warming. We find that a 15 % increase in sea surface evaporation will offset a 25 % decrease in extreme windstorms. As a result, future dense water will form at the same rate as today but will be too light to reach the Adriatic's deepest parts, making deep-water presence reliant on exchanges with the Ionian Sea.
Robert J. Wilson, Yuri Artioli, Giovanni Galli, James Harle, Jason Holt, Ana M. Queiros, and Sarah Wakelin
EGUsphere, https://doi.org/10.5194/egusphere-2024-3810, https://doi.org/10.5194/egusphere-2024-3810, 2024
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Marine heatwaves are of growing concern around the world. We use a state of the art ensemble of downscaled climate models to project how often heatwaves will occur in future across northwest Europe under a high-emissions scenario. The projections show that without emissions reductions, heatwaves will occur more than half of the time in future. We show that the seafloor is expected to experience much more frequent heatwaves than the sea surface in future.
David John Webb
EGUsphere, https://doi.org/10.5194/egusphere-2024-3560, https://doi.org/10.5194/egusphere-2024-3560, 2024
Preprint withdrawn
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A modern climate model is used to test the hypothesis that changes observed during El Niños are, in part, forced by changes in the temperature of the North Equatorial Counter Current. This is a warm current that flows eastwards across the Pacific, a few degrees north of the Equator, close to the Inter-Tropical Convection Zone, a major region of deep atmospheric convection. The tests generate a significant El Niño type response in the ocean, giving confidence that the hypothesis is correct.
Natalja Čerkasova, Jovita Mėžinė, Rasa Idzelytė, Jūratė Lesutienė, Ali Ertürk, and Georg Umgiesser
Ocean Sci., 20, 1123–1147, https://doi.org/10.5194/os-20-1123-2024, https://doi.org/10.5194/os-20-1123-2024, 2024
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This study advances the understanding of climate projection variability in the Nemunas River, Curonian Lagoon, and southeastern Baltic Sea continuum by analyzing a subset of climate models with a focus on a coupled ocean and drainage basin model. This study investigates the variability and trends in environmental parameters, such as water fluxes, timing, nutrient load, water temperature, ice cover, and saltwater intrusions in Representative Concentration Pathway 4.5 and 8.5 scenarios.
Arthur Prigent and Riccardo Farneti
Ocean Sci., 20, 1067–1086, https://doi.org/10.5194/os-20-1067-2024, https://doi.org/10.5194/os-20-1067-2024, 2024
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We evaluate the eastern equatorial Atlantic's (EEA's) seasonal cycle and interannual variability in the Ocean Model Intercomparison Project Phases 1 and 2 (OMIP1 and OMIP2) for 1985–2004. While both simulate EEA patterns, biases like a diffusive thermocline and insufficient cooling exist during the development of the Atlantic cold tongue. OMIP1 exhibits 51% (33%) larger interannual sea surface temperature (sea surface height) variability than OMIP2, attributed to differences in wind forcing.
Jonathan Tinker, Matthew D. Palmer, Benjamin J. Harrison, Enda O'Dea, David M. H. Sexton, Kuniko Yamazaki, and John W. Rostron
Ocean Sci., 20, 835–885, https://doi.org/10.5194/os-20-835-2024, https://doi.org/10.5194/os-20-835-2024, 2024
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The northwest European shelf (NWS) seas are economically and environmentally important but poorly represented in global climate models (GCMs). We combine use of a shelf sea model with GCM output to provide improved 21st century projections of the NWS. We project a NWS warming of 3.11 °C and freshening of −1.01, and we provide uncertainty estimates. We calculate the climate signal emergence and consider warming levels. We have released our data for the UK's Climate Change Risk Assessment.
Eric de Boisséson and Magdalena Alonso Balmaseda
Ocean Sci., 20, 265–278, https://doi.org/10.5194/os-20-265-2024, https://doi.org/10.5194/os-20-265-2024, 2024
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Marine heatwaves are long periods of extremely warm ocean surface temperatures. Predicting such events a few months in advance would help decision-making to mitigate their impacts on marine ecosystems. This work investigates how well operational seasonal forecasts can predict marine heatwaves. Results show that such events can be predicted a few months in advance in the tropics but that extending the predictability skill to other regions will require additional work on the forecast models.
Giovanni Coppini, Emanuela Clementi, Gianpiero Cossarini, Stefano Salon, Gerasimos Korres, Michalis Ravdas, Rita Lecci, Jenny Pistoia, Anna Chiara Goglio, Massimiliano Drudi, Alessandro Grandi, Ali Aydogdu, Romain Escudier, Andrea Cipollone, Vladyslav Lyubartsev, Antonio Mariani, Sergio Cretì, Francesco Palermo, Matteo Scuro, Simona Masina, Nadia Pinardi, Antonio Navarra, Damiano Delrosso, Anna Teruzzi, Valeria Di Biagio, Giorgio Bolzon, Laura Feudale, Gianluca Coidessa, Carolina Amadio, Alberto Brosich, Arnau Miró, Eva Alvarez, Paolo Lazzari, Cosimo Solidoro, Charikleia Oikonomou, and Anna Zacharioudaki
Ocean Sci., 19, 1483–1516, https://doi.org/10.5194/os-19-1483-2023, https://doi.org/10.5194/os-19-1483-2023, 2023
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The paper presents the Mediterranean Forecasting System evolution and performance developed in the framework of the Copernicus Marine Service.
Cited articles
Alexander, M. and Scott, J.: The Influence of ENSO on Air-Sea Interaction in the Atlantic, Geophys. Res. Lett., 29, 46-1–46-4, https://doi.org/10.1029/2001GL014347, 2002. a
Alexander, M. A., Deser, C., and Timlin, M. S.: The Reemergence of SST Anomalies in the North Pacific Ocean, J. Climate, 12, 2419–2433, https://doi.org/10.1175/1520-0442(1999)012<2419:TROSAI>2.0.CO;2, 1999. a
Alexander, M. A., Shin, S.-i., Scott, J. D., Curchitser, E., and Stock, C.: The Response of the Northwest Atlantic Ocean to Climate Change, J. Climate, 33, 405–428, https://doi.org/10.1175/JCLI-D-19-0117.1, 2020. a
Alfieri, L., Lorini, V., Hirpa, F. A., Harrigan, S., Zsoter, E., Prudhomme, C., and Salamon, P.: A Global Streamflow Reanalysis for 1980–2018, J. Hydrol. X, 6, 100049, https://doi.org/10.1016/j.hydroa.2019.100049, 2020. a
Amaya, D. J., Alexander, M. A., Scott, J. D., and Jacox, M. G.: An Evaluation of High-Resolution Ocean Reanalyses in the California Current System, Prog. Oceanogr., 210, 102951, https://doi.org/10.1016/j.pocean.2022.102951, 2023. a, b, c
Bretherton, C. S., Widmann, M., Dymnikov, V. P., Wallace, J. M., and Bladé, I.: The Effective Number of Spatial Degrees of Freedom of a Time-Varying Field, J. Climate, 12, 1990–2009, https://doi.org/10.1175/1520-0442(1999)012<1990:TENOSD>2.0.CO;2, 1999. a
Brickman, D., Hebert, D., and Wang, Z.: Mechanism for the Recent Ocean Warming Events on the Scotian Shelf of Eastern Canada, Cont. Shelf Res., 156, 11–22, https://doi.org/10.1016/j.csr.2018.01.001, 2018. a
Bröcker, J.: Evaluating Raw Ensembles with the Continuous Ranked Probability Score, Q. J. Roy. Meteor. Soc., 138, 1611–1617, https://doi.org/10.1002/qj.1891, 2012. a
Brodie, S., Pozo Buil, M., Welch, H., Bograd, S. J., Hazen, E. L., Santora, J. A., Seary, R., Schroeder, I. D., and Jacox, M. G.: Ecological Forecasts for Marine Resource Management during Climate Extremes, Nat. Commun., 14, 7701, https://doi.org/10.1038/s41467-023-43188-0, 2023. a, b
Bushuk, M., Msadek, R., Winton, M., Vecchi, G., Yang, X., Rosati, A., and Gudgel, R.: Regional Arctic Sea–Ice Prediction: Potential versus Operational Seasonal Forecast Skill, Clim. Dynam., 52, 2721–2743, https://doi.org/10.1007/s00382-018-4288-y, 2019. a
Byju, P., Dommenget, D., and Alexander, M. A.: Widespread Reemergence of Sea Surface Temperature Anomalies in the Global Oceans, Including Tropical Regions Forced by Reemerging Winds, Geophys. Res. Lett., 45, 7683–7691, https://doi.org/10.1029/2018GL079137, 2018. a
Caesar, L., Rahmstorf, S., Robinson, A., Feulner, G., and Saba, V.: Observed Fingerprint of a Weakening Atlantic Ocean Overturning Circulation, Nature, 556, 191–196, https://doi.org/10.1038/s41586-018-0006-5, 2018. a
Carolina Castillo-Trujillo, A., Kwon, Y.-O., Fratantoni, P., Chen, K., Seo, H., Alexander, M. A., and Saba, V. S.: An Evaluation of Eight Global Ocean Reanalyses for the Northeast U.S. Continental Shelf, Prog. Oceanogr., 219, 103126, https://doi.org/10.1016/j.pocean.2023.103126, 2023. a, b, c
Chassignet, E. P. and Garaffo, Z. D.: Viscosity parameterization and the Gulf Stream separation. From Stirring to Mixing in a Stratified Ocean, Proc. 'Aha Huliko'a Hawaiian Winter Workshop, 16–19 January 2001, Honolulu, HI, University of Hawai'i at Manoa, 37–41, https://n2t.net/ark:/13960/t6g22rz6s (last access: 6 December 2024), 2001. a, b
Chassignet, E. P. and Xu, X.: Impact of Horizontal Resolution (
Chen, Z., Kwon, Y.-O., Chen, K., Fratantoni, P., Gawarkiewicz, G., Joyce, T. M., Miller, T. J., Nye, J. A., Saba, V. S., and Stock, B. C.: Seasonal Prediction of Bottom Temperature on the Northeast U.S. Continental Shelf, J. Geophys. Res.-Oceans, 126, e2021JC017187, https://doi.org/10.1029/2021JC017187, 2021. a
Chi, L., Wolfe, C. L. P., and Hameed, S.: Has the Gulf Stream Slowed or Shifted in the Altimetry Era?, Geophys. Res. Lett., 48, e2021GL093113, https://doi.org/10.1029/2021GL093113, 2021. a, b
DelSole, T. and Tippett, M. K.: Forecast Comparison Based on Random Walks, Mon. Weather Rev., 144, 615–626, https://doi.org/10.1175/MWR-D-15-0218.1, 2016. a, b
Delworth, T. L., Cooke, W. F., Adcroft, A., Bushuk, M., Chen, J.-H., Dunne, K. A., Ginoux, P., Gudgel, R., Hallberg, R. W., Harris, L., Harrison, M. J., Johnson, N., Kapnick, S. B., Lin, S.-J., Lu, F., Malyshev, S., Milly, P. C., Murakami, H., Naik, V., Pascale, S., Paynter, D., Rosati, A., Schwarzkopf, M., Shevliakova, E., Underwood, S., Wittenberg, A. T., Xiang, B., Yang, X., Zeng, F., Zhang, H., Zhang, L., and Zhao, M.: SPEAR: The Next Generation GFDL Modeling System for Seasonal to Multidecadal Prediction and Projection, J. Adv. Model. Earth Sy., 12, e2019MS001895, https://doi.org/10.1029/2019MS001895, 2020. a
Drenkard, E. J., Stock, C., Ross, A. C., Dixon, K. W., Adcroft, A., Alexander, M., Balaji, V., Bograd, S. J., Butenschön, M., Cheng, W., Curchitser, E., Lorenzo, E. D., Dussin, R., Haynie, A. C., Harrison, M., Hermann, A., Hollowed, A., Holsman, K., Holt, J., Jacox, M. G., Jang, C. J., Kearney, K. A., Muhling, B. A., Buil, M. P., Saba, V., Sandø, A. B., Tommasi, D., and Wang, M.: Next-Generation Regional Ocean Projections for Living Marine Resource Management in a Changing Climate, ICES J. Mar. Sci., 78, 1969–1987, https://doi.org/10.1093/icesjms/fsab100, 2021. a, b
Du, J., Zhang, W. G., and Li, Y.: Variability of Deep Water in Jordan Basin of the Gulf of Maine: Influence of Gulf Stream Warm Core Rings and the Nova Scotia Current, J. Geophys. Res.-Oceans, 126, e2020JC017136, https://doi.org/10.1029/2020JC017136, 2021. a, b
Dukhovskoy, D. S., Chassignet, E. P., Bozec, A., and Morey, S. L.: Assessment of Predictability of the Loop Current in the Gulf of Mexico from Observing System Experiments and Observing System Simulation Experiments, Front. Mar. Sci., 10, 1153824, https://doi.org/10.3389/fmars.2023.1153824, 2023. a
Dunstone, N., Smith, D., Scaife, A., Hermanson, L., Eade, R., Robinson, N., Andrews, M., and Knight, J.: Skilful Predictions of the Winter North Atlantic Oscillation One Year Ahead, Nat. Geosci., 9, 809–814, https://doi.org/10.1038/ngeo2824, 2016. a
EU Copernicus Marine Service Product: Global Ocean Gridded L4 Sea Surface Heights And Derived Variables Reprocessed 1993 Ongoing, Mercator Ocean International [data set], https://doi.org/10.48670/moi-00148, 2023a. a, b, c
EU Copernicus Marine Service Product: Global Ocean Physics Reanalysis, Mercator Ocean International [data set], https://doi.org/10.48670/moi-00021, 2023b. a, b
Fortin, V., Abaza, M., Anctil, F., and Turcotte, R.: Why Should Ensemble Spread Match the RMSE of the Ensemble Mean?, J. Hydrometeorol., 15, 1708–1713, https://doi.org/10.1175/JHM-D-14-0008.1, 2014. a, b
Friedland, K. D., Record, N. R., Pendleton, D. E., Balch, W. M., Stamieszkin, K., Moisan, J. R., and Brady, D. C.: Asymmetry in the Rate of Warming and the Phenology of Seasonal Blooms in the Northeast US Shelf Ecosystem, ICES J. Mar. Sci., 80, 775–786, https://doi.org/10.1093/icesjms/fsad007, 2023. a, b
Gangopadhyay, A., Gawarkiewicz, G., Silva, E. N. S., Monim, M., and Clark, J.: An Observed Regime Shift in the Formation of Warm Core Rings from the Gulf Stream, Sci. Rep., 9, 12319, https://doi.org/10.1038/s41598-019-48661-9, 2019. a
Gangopadhyay, A., Gawarkiewicz, G., Silva, E. N. S., Silver, A. M., Monim, M., and Clark, J.: A Census of the Warm-Core Rings of the Gulf Stream: 1980–2017, J. Geophys. Res.-Oceans, 125, e2019JC016033, https://doi.org/10.1029/2019JC016033, 2020. a
Geiss, A., Marchand, R., and Thompson, L.: The Influence of Sea Surface Temperature Reemergence on Marine Stratiform Cloud, Geophys. Res. Lett., 47, e2020GL086957, https://doi.org/10.1029/2020GL086957, 2020. a, b
Ghantous, M., Ayoub, N., De Mey-Frémaux, P., Vervatis, V., and Marsaleix, P.: Ensemble Downscaling of a Regional Ocean Model, Ocean Model., 145, 101511, https://doi.org/10.1016/j.ocemod.2019.101511, 2020. a
Glenn, E., Comarazamy, D., González, J. E., and Smith, T.: Detection of Recent Regional Sea Surface Temperature Warming in the Caribbean and Surrounding Region, Geophys. Res. Lett., 42, 6785–6792, https://doi.org/10.1002/2015GL065002, 2015. a
Gomez, F. A., Lee, S.-K., Hernandez, F. J., Chiaverano, L. M., Muller-Karger, F. E., Liu, Y., and Lamkin, J. T.: ENSO-induced Co-Variability of Salinity, Plankton Biomass and Coastal Currents in the Northern Gulf of Mexico, Sci. Rep., 9, 178, https://doi.org/10.1038/s41598-018-36655-y, 2019. a
Gonçalves Neto, A., Langan, J. A., and Palter, J. B.: Changes in the Gulf Stream Preceded Rapid Warming of the Northwest Atlantic Shelf, Communications Earth & Environment, 2, 74, https://doi.org/10.1038/s43247-021-00143-5, 2021. a
Grodsky, S. A., Reul, N., Chapron, B., Carton, J. A., and Bryan, F. O.: Interannual Surface Salinity on Northwest Atlantic Shelf, J. Geophys. Res.-Oceans, 122, 3638–3659, https://doi.org/10.1002/2016JC012580, 2017. a
Haley, P. J., Mirabito, C., Doshi, M., and Lermusiaux, P. F. J.: Ensemble Forecasting for the Gulf of Mexico Loop Current Region, in: OCEANS 2023 – MTS/IEEE U.S. Gulf Coast, 1–10, IEEE, Biloxi, MS, USA, ISBN 9798218142186, https://doi.org/10.23919/OCEANS52994.2023.10337035, 2023. a
Han, G., Hannah, C. G., Loder, J. W., and Smith, P. C.: Seasonal Variation of the Three-Dimensional Mean Circulation over the Scotian Shelf, J. Geophys. Res.-Oceans, 102, 1011–1025, https://doi.org/10.1029/96JC03285, 1997. a
Han, G., Ma, Z., Long, Z., Perrie, W., and Chassé, J.: Climate Change on Newfoundland and Labrador Shelves: Results From a Regional Downscaled Ocean and Sea-Ice Model Under an A1B Forcing Scenario 2011–2069, Atmos.-Ocean, 57, 3–17, https://doi.org/10.1080/07055900.2017.1417110, 2019. a
Harrigan, S., Zsoter, E., Alfieri, L., Prudhomme, C., Salamon, P., Wetterhall, F., Barnard, C., Cloke, H., and Pappenberger, F.: GloFAS-ERA5 operational global river discharge reanalysis 1979–present, Earth Syst. Sci. Data, 12, 2043–2060, https://doi.org/10.5194/essd-12-2043-2020, 2020. a
Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A., Muñoz-Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D., Simmons, A., Soci, C., Abdalla, S., Abellan, X., Balsamo, G., Bechtold, P., Biavati, G., Bidlot, J., Bonavita, M., De Chiara, G., Dahlgren, P., Dee, D., Diamantakis, M., Dragani, R., Flemming, J., Forbes, R., Fuentes, M., Geer, A., Haimberger, L., Healy, S., Hogan, R. J., Hólm, E., Janisková, M., Keeley, S., Laloyaux, P., Lopez, P., Lupu, C., Radnoti, G., de Rosnay, P., Rozum, I., Vamborg, F., Villaume, S., and Thépaut, J.-N.: The ERA5 Global Reanalysis, Q. J. Roy. Meteor. Soc., 146, 1999–2049, https://doi.org/10.1002/qj.3803, 2020. a
Hervieux, G., Alexander, M. A., Stock, C. A., Jacox, M. G., Pegion, K., Becker, E., Castruccio, F., and Tommasi, D.: More Reliable Coastal SST Forecasts from the North American Multimodel Ensemble, Clim. Dynam., 53, 7153–7168, https://doi.org/10.1007/s00382-017-3652-7, 2017. a
Jackson, L. C., Peterson, K. A., Roberts, C. D., and Wood, R. A.: Recent Slowing of Atlantic Overturning Circulation as a Recovery from Earlier Strengthening, Nat. Geosci., 9, 518–522, https://doi.org/10.1038/ngeo2715, 2016. a
Jacox, M. G., Alexander, M. A., Siedlecki, S., Chen, K., Kwon, Y.-O., Brodie, S., Ortiz, I., Tommasi, D., Widlansky, M. J., Barrie, D., Capotondi, A., Cheng, W., Di Lorenzo, E., Edwards, C., Fiechter, J., Fratantoni, P., Hazen, E. L., Hermann, A. J., Kumar, A., Miller, A. J., Pirhalla, D., Pozo Buil, M., Ray, S., Sheridan, S. C., Subramanian, A., Thompson, P., Thorne, L., Annamalai, H., Aydin, K., Bograd, S. J., Griffis, R. B., Kearney, K., Kim, H., Mariotti, A., Merrifield, M., and Rykaczewski, R.: Seasonal-to-Interannual Prediction of North American Coastal Marine Ecosystems: Forecast Methods, Mechanisms of Predictability, and Priority Developments, Prog. Oceanogr., 183, 102307, https://doi.org/10.1016/j.pocean.2020.102307, 2020. a, b, c, d, e
Jacox, M. G., Alexander, M. A., Amaya, D., Becker, E., Bograd, S. J., Brodie, S., Hazen, E. L., Pozo Buil, M., and Tommasi, D.: Global Seasonal Forecasts of Marine Heatwaves, Nature, 604, 486–490, https://doi.org/10.1038/s41586-022-04573-9, 2022. a
Jacox, M. G., Buil, M. P., Brodie, S., Alexander, M. A., Amaya, D. J., Bograd, S. J., Edwards, C. A., Fiechter, J., Hazen, E. L., Hervieux, G., and Tommasi, D.: Downscaled Seasonal Forecasts for the California Current System: Skill Assessment and Prospects for Living Marine Resource Applications, PLOS Climate, 2, e0000245, https://doi.org/10.1371/journal.pclm.0000245, 2023. a, b, c
Lellouche, J., Greiner, E., Bourdallé-Badie, R., Garric, G., Melet, A., Drévillon, M., Bricaud, C., Hamon, M., Le Galloudec, O., Regnier, C., Candela, T., Testut, C., Gasparin, F., Ruggiero, G., Benkiran, M., Drillet, Y., and Le Traon, P.: The Copernicus Global
Leutbecher, M.: Ensemble Size: How Suboptimal Is Less than Infinity?, Q. J. Roy. Meteor. Soc., https://doi.org/10.1002/qj.3387, 2018. a
Li, Y., He, R., and Manning, J. P.: Coastal Connectivity in the Gulf of Maine in Spring and Summer of 2004–2009, Deep-Sea Res. Pt. II, 103, 199–209, https://doi.org/10.1016/j.dsr2.2013.01.037, 2014. a
Link, J. S., Thur, S., Matlock, G., and Grasso, M.: Why We Need Weather Forecast Analogues for Marine Ecosystems, ICES J. Mar. Sci., 80, 2087–2098, https://doi.org/10.1093/icesjms/fsad143, 2023. a
Lu, F., Harrison, M. J., Rosati, A., Delworth, T. L., Yang, X., Cooke, W. F., Jia, L., McHugh, C., Johnson, N. C., Bushuk, M., Zhang, Y., and Adcroft, A.: GFDL's SPEAR Seasonal Prediction System: Initialization and Ocean Tendency Adjustment (OTA) for Coupled Model Predictions, J. Adv. Model. Earth Sy., 12, e2020MS002149, https://doi.org/10.1029/2020MS002149, 2020. a, b, c, d
McAdam, R., Masina, S., Balmaseda, M., Gualdi, S., Senan, R., and Mayer, M.: Seasonal Forecast Skill of Upper-Ocean Heat Content in Coupled High-Resolution Systems, Clim. Dynam., 58, 3335–3350, https://doi.org/10.1007/s00382-021-06101-3, 2022. a
New, A. L., Smeed, D. A., Czaja, A., Blaker, A. T., Mecking, J. V., Mathews, J. P., and Sanchez-Franks, A.: Labrador Slope Water Connects the Subarctic with the Gulf Stream, Environ. Res. Lett., 16, 084019, https://doi.org/10.1088/1748-9326/ac1293, 2021. a
Oey, L.-Y., Ezer, T., and Lee, H.-C.: Loop Current, Rings and Related Circulation in the Gulf of Mexico: A Review of Numerical Models and Future Challenges, in: Geophysical Monograph Series, edited by: Sturges, W. and Lugo-Fernandez, A., American Geophysical Union, Washington, D.C., 31–56, ISBN 978-1-118-66616-6, ISBN 978-0-87590-426-9, https://doi.org/10.1029/161GM04, 2013. a
Payne, M. R., Hobday, A. J., MacKenzie, B. R., Tommasi, D., Dempsey, D. P., Fässler, S. M. M., Haynie, A. C., Ji, R., Liu, G., Lynch, P. D., Matei, D., Miesner, A. K., Mills, K. E., Strand, K. O., and Villarino, E.: Lessons from the First Generation of Marine Ecological Forecast Products, Front. Mar. Sci., 4, 289, https://doi.org/10.3389/fmars.2017.00289, 2017. a
Pegion, K., Kirtman, B. P., Becker, E., Collins, D. C., LaJoie, E., Burgman, R., Bell, R., DelSole, T., Min, D., Zhu, Y., Li, W., Sinsky, E., Guan, H., Gottschalck, J., Metzger, E. J., Barton, N. P., Achuthavarier, D., Marshak, J., Koster, R. D., Lin, H., Gagnon, N., Bell, M., Tippett, M. K., Robertson, A. W., Sun, S., Benjamin, S. G., Green, B. W., Bleck, R., and Kim, H.: The Subseasonal Experiment (SubX): A Multi-Model Subseasonal Prediction Experiment, B. Am. Meteorol. Soc., 100, 2043–2060, https://doi.org/10.1175/BAMS-D-18-0270.1, 2019. a
Pershing, A. J., Alexander, M. A., Hernandez, C. M., Kerr, L. A., Le Bris, A., Mills, K. E., Nye, J. A., Record, N. R., Scannell, H. A., Scott, J. D., Sherwood, G. D., and Thomas, A. C.: Slow Adaptation in the Face of Rapid Warming Leads to Collapse of the Gulf of Maine Cod Fishery, Science, 350, 809–812, https://doi.org/10.1126/science.aac9819, 2015. a
Reynolds, R. W., Smith, T. M., Liu, C., Chelton, D. B., Casey, K. S., and Schlax, M. G.: Daily High-Resolution-Blended Analyses for Sea Surface Temperature, J. Climate, 20, 5473–5496, https://doi.org/10.1175/2007JCLI1824.1, 2007. a
Risbey, J. S., Squire, D. T., Black, A. S., DelSole, T., Lepore, C., Matear, R. J., Monselesan, D. P., Moore, T. S., Richardson, D., Schepen, A., Tippett, M. K., and Tozer, C. R.: Standard Assessments of Climate Forecast Skill Can Be Misleading, Nat. Commun., 12, 4346, https://doi.org/10.1038/s41467-021-23771-z, 2021. a
Ross, A.: Model output for “Dynamically downscaled seasonal ocean forecasts for North American East Coast ecosystems”, in: Ocean Science, Zenodo [data set], https://doi.org/10.5281/zenodo.10642294, 2024. a
Ross, A. C. and Stock, C. A.: Probabilistic Extreme SST and Marine Heatwave Forecasts in Chesapeake Bay: A Forecast Model, Skill Assessment, and Potential Value, Front. Mar. Sci., 9, 896961, https://doi.org/10.3389/fmars.2022.896961, 2022. a
Ross, A. C., Stock, C. A., Adcroft, A., Curchitser, E., Hallberg, R., Harrison, M. J., Hedstrom, K., Zadeh, N., Alexander, M., Chen, W., Drenkard, E. J., du Pontavice, H., Dussin, R., Gomez, F., John, J. G., Kang, D., Lavoie, D., Resplandy, L., Roobaert, A., Saba, V., Shin, S.-I., Siedlecki, S., and Simkins, J.: A high-resolution physical–biogeochemical model for marine resource applications in the northwest Atlantic (MOM6-COBALT-NWA12 v1.0), Geosci. Model Dev., 16, 6943–6985, https://doi.org/10.5194/gmd-16-6943-2023, 2023a. a, b, c, d, e, f, g, h, i, j, k
Ross, A. C., Stock, C. A., Adcroft, A., Curchitser, E., Hallberg, R., Harrison, M. J., Hedstrom, K., Zadeh, N., Alexander, M., Chen, W., Drenkard, E. J., du Pontavice, H., Dussin, R., Gomez, F., John, J. G., Kang, D., Lavoie, D., Resplandy, L., Roobaert, A., Saba, V., Shin, S.-I., Siedlecki, S., and Simkins, J.: Model source code for “A high-resolution physical-biogeochemical model for marine resource applications in the Northwest Atlantic (MOM6-COBALT-NWA12)”, Zenodo [code], https://doi.org/10.5281/zenodo.7893349, 2023b. a
Rutherford, K., Fennel, K., Garcia Suarez, L., and John, J. G.: Uncertainty in the evolution of northwestern North Atlantic circulation leads to diverging biogeochemical projections, Biogeosciences, 21, 301–314, https://doi.org/10.5194/bg-21-301-2024, 2024. a
Saba, V. S., Griffies, S. M., Anderson, W. G., Winton, M., Alexander, M. A., Delworth, T. L., Hare, J. A., Harrison, M. J., Rosati, A., Vecchi, G. A., and Zhang, R.: Enhanced Warming of the Northwest Atlantic Ocean under Climate Change, J. Geophys. Res.-Oceans, 121, 118–132, https://doi.org/10.1002/2015JC011346, 2016. a, b
Sanchez-Franks, A., Hameed, S., and Wilson, R. E.: The Icelandic Low as a Predictor of the Gulf Stream North Wall Position, J. Phys. Oceanogr., 46, 817–826, https://doi.org/10.1175/JPO-D-14-0244.1, 2016. a
Sandery, P. A. and Sakov, P.: Ocean Forecasting of Mesoscale Features Can Deteriorate by Increasing Model Resolution towards the Submesoscale, Nat. Commun., 8, 1–8, https://doi.org/10.1038/s41467-017-01595-0, 2017. a
Scaife, A. A. and Smith, D.: A Signal-to-Noise Paradox in Climate Science, npj Climate and Atmospheric Science, 1, 28, https://doi.org/10.1038/s41612-018-0038-4, 2018. a
Seidov, D., Mishonov, A., and Parsons, R.: Recent Warming and Decadal Variability of Gulf of Maine and Slope Water, Limnol. Oceanogr., 66, 3472–3488, https://doi.org/10.1002/lno.11892, 2021. a
Shin, S.-I. and Newman, M.: Seasonal Predictability of Global and North American Coastal Sea Surface Temperature and Height Anomalies, Geophys. Res. Lett., 48, e2020GL091886, https://doi.org/10.1029/2020GL091886, 2021. a, b
Siedlecki, S. A., Kaplan, I. C., Hermann, A. J., Nguyen, T. T., Bond, N. A., Newton, J. A., Williams, G. D., Peterson, W. T., Alin, S. R., and Feely, R. A.: Experiments with Seasonal Forecasts of Ocean Conditions for the Northern Region of the California Current Upwelling System, Sci. Rep., 6, 27203, https://doi.org/10.1038/srep27203, 2016. a
Siegert, S., Bellprat, O., Ménégoz, M., Stephenson, D. B., and Doblas-Reyes, F. J.: Detecting Improvements in Forecast Correlation Skill: Statistical Testing and Power Analysis, Mon. Weather Rev., 145, 437–450, https://doi.org/10.1175/MWR-D-16-0037.1, 2017. a
Silver, A., Gangopadhyay, A., Gawarkiewicz, G., Fratantoni, P., and Clark, J.: Increased Gulf Stream Warm Core Ring Formations Contributes to an Observed Increase in Salinity Maximum Intrusions on the Northeast Shelf, Sci. Rep., 13, 7538, https://doi.org/10.1038/s41598-023-34494-0, 2023. a, b
Smith, D. M., Scaife, A. A., Eade, R., Athanasiadis, P., Bellucci, A., Bethke, I., Bilbao, R., Borchert, L. F., Caron, L.-P., Counillon, F., Danabasoglu, G., Delworth, T., Doblas-Reyes, F. J., Dunstone, N. J., Estella-Perez, V., Flavoni, S., Hermanson, L., Keenlyside, N., Kharin, V., Kimoto, M., Merryfield, W. J., Mignot, J., Mochizuki, T., Modali, K., Monerie, P.-A., Müller, W. A., Nicolí, D., Ortega, P., Pankatz, K., Pohlmann, H., Robson, J., Ruggieri, P., Sospedra-Alfonso, R., Swingedouw, D., Wang, Y., Wild, S., Yeager, S., Yang, X., and Zhang, L.: North Atlantic Climate Far More Predictable than Models Imply, Nature, 583, 796–800, https://doi.org/10.1038/s41586-020-2525-0, 2020. a
Smith, P. C., Houghton, R. W., Fairbanks, R. G., and Mountain, D. G.: Interannual variability of boundary fluxes and water mass properties in the Gulf of Maine and on Georges Bank: 1993–1997, Deep-Sea Res. Pt. II, 48, 37–70, https://doi.org/10.1016/S0967-0645(00)00081-3, 2001. a, b
Spalding, M. D., Fox, H. E., Allen, G. R., Davidson, N., Ferdaña, Z. A., Finlayson, M., Halpern, B. S., Jorge, M. A., Lombana, A., Lourie, S. A., Martin, K. D., McManus, E., Molnar, J., Recchia, C. A., and Robertson, J.: Marine Ecoregions of the World: A Bioregionalization of Coastal and Shelf Areas, BioScience, 57, 573–583, https://doi.org/10.1641/B570707, 2007. a
Steiger, J. H.: Tests for Comparing Elements of a Correlation Matrix, Psychol. Bull., 87, 245–251, https://doi.org/10.1037/0033-2909.87.2.245, 1980. a, b
Stock, C. A., Pegion, K., Vecchi, G. A., Alexander, M. A., Tommasi, D., Bond, N. A., Fratantoni, P. S., Gudgel, R. G., Kristiansen, T., O'Brien, T. D., Xue, Y., and Yang, X.: Seasonal Sea Surface Temperature Anomaly Prediction for Coastal Ecosystems, Prog. Oceanogr., 137, 219–236, https://doi.org/10.1016/j.pocean.2015.06.007, 2015. a, b
Strommen, K. and Palmer, T. N.: Signal and Noise in Regime Systems: A Hypothesis on the Predictability of the North Atlantic Oscillation, Q. J. Roy. Meteor. Soc., 145, 147–163, https://doi.org/10.1002/qj.3414, 2019. a
Sukhonos, P. A. and Alexander, M. A.: The Reemergence of the Winter Sea Surface Temperature Tripole in the North Atlantic from Ocean Reanalysis Data, Clim. Dynam., 61, 449–460, https://doi.org/10.1007/s00382-022-06581-x, 2023. a
Thoppil, P. G., Frolov, S., Rowley, C. D., Reynolds, C. A., Jacobs, G. A., Joseph Metzger, E., Hogan, P. J., Barton, N., Wallcraft, A. J., Smedstad, O. M., and Shriver, J. F.: Ensemble Forecasting Greatly Expands the Prediction Horizon for Ocean Mesoscale Variability, Communications Earth & Environment, 2, 1–9, https://doi.org/10.1038/s43247-021-00151-5, 2021. a
Tommasi, D., Stock, C. A., Hobday, A. J., Methot, R., Kaplan, I. C., Eveson, J. P., Holsman, K., Miller, T. J., Gaichas, S., Gehlen, M., Pershing, A., Vecchi, G. A., Msadek, R., Delworth, T., Eakin, C. M., Haltuch, M. A., Séférian, R., Spillman, C. M., Hartog, J. R., Siedlecki, S., Samhouri, J. F., Muhling, B., Asch, R. G., Pinsky, M. L., Saba, V. S., Kapnick, S. B., Gaitan, C. F., Rykaczewski, R. R., Alexander, M. A., Xue, Y., Pegion, K. V., Lynch, P., Payne, M. R., Kristiansen, T., Lehodey, P., and Werner, F. E.: Managing Living Marine Resources in a Dynamic Environment: The Role of Seasonal to Decadal Climate Forecasts, Prog. Oceanogr., 152, 15–49, https://doi.org/10.1016/j.pocean.2016.12.011, 2017. a
Wang, Z., Yang, J., Johnson, C., and DeTracey, B.: Changes in Deep Ocean Contribute to a “See-Sawing” Gulf Stream Path, Geophys. Res. Lett., 49, e2022GL100937, https://doi.org/10.1029/2022GL100937, 2022. a
Wang, Z., Boyer, T., Reagan, J., and Hogan, P.: Upper Oceanic Warming in the Gulf of Mexico between 1950 and 2020, J. Climate, 1, 1–32, https://doi.org/10.1175/JCLI-D-22-0409.1, 2023. a
Wilkin, J., Levin, J., Lopez, A., Hunter, E., Zavala-Garay, J., and Arango, H.: A Coastal Ocean Forecast System for U.S. Mid-Atlantic Bight and Gulf of Maine, in: New Frontiers in Operational Oceanography, edited by: Chassignet, E. P., Pascual, A., Tintoré, J., and Verron, J., GODAE OceanView, ISBN 978-1-72054-997-0, https://doi.org/10.17125/gov2018.ch21, 2018. a
Xue, H., Chai, F., and Pettigrew, N. R.: A Model Study of the Seasonal Circulation in the Gulf of Maine, J. Phys. Oceanogr., 30, 1111–1135, https://doi.org/10.1175/1520-0485(2000)030<1111:AMSOTS>2.0.CO;2, 2000. a
Zhang, W.-Z., Chai, F., Xue, H., and Oey, L.-Y.: Remote Sensing Linear Trends of the Gulf Stream from 1993 to 2016, Ocean Dynam., 70, 701–712, https://doi.org/10.1007/s10236-020-01356-6, 2020. a, b
Zhang, Y., Chen, C., Xue, P., Beardsley, R. C., and Franks, P. J. S.: A View of Physical Mechanisms for Transporting Harmful Algal Blooms to Massachusetts Bay, Mar. Pollut. Bull., 154, 111048, https://doi.org/10.1016/j.marpolbul.2020.111048, 2020. a
Short summary
In this paper, we use a high-resolution regional ocean model to downscale seasonal ocean forecasts from the Seamless System for Prediction and EArth System Research (SPEAR) model of the Geophysical Fluid Dynamics Laboratory (GFDL). We find that the downscaled model has significantly higher prediction skill in many cases.
In this paper, we use a high-resolution regional ocean model to downscale seasonal ocean...
