OB009
Confronting ocean models with biogeochemical observations across timescales

Session ID#: 256073

Session Description:
Advances in ocean biogeochemical modeling have produced increasingly complex representations of marine carbon, oxygen, nutrient and tracer dynamics. Such models are routinely used to isolate anthropogenic trends from the backdrop of natural variability that spans multiple timescales. In parallel, the expansion of ocean observing efforts (e.g., BGC-Argo, SOCAT, GO-SHIP) and development of 4D gridded data-based products (e.g., GOBAI-O2, MOBO-DIC) are enabling unprecedented views of interior ocean biogeochemistry that are independent from numerical models. This session invites contributions that assess model-based representations of interior ocean biogeochemistry with observed historical trends, diagnose the causes of model-data inconsistencies and mismatches (e.g., observational error, model structural errors, flawed comparison methods), and/or leverage such discrepancies to refine process representations and reduce uncertainty in ocean biogeochemical change. We welcome studies that employ emerging frameworks for model-data comparison and process attribution, assess model sensitivity to biogeochemical drivers, evaluate global or regional model performance, and highlight remaining challenges. Topics may include air-sea CO2 fluxes, anthropogenic carbon accumulation and carbon storage, ocean acidification, deoxygenation, nutrient cycling, biological pump dynamics, and feedbacks within the carbon–climate system, with a view toward improving model representation of both historical change and future projections.
Co-Sponsor(s):
  • Climate and Ocean Change -
  • Ocean Biology and Biogeochemistry -
Index Terms:

4805 Biogeochemical cycles, processes, and modeling [OCEANOGRAPHY: CHEMICAL]
Primary Chair:  Mar Arroyo, University of California Santa Cruz, Santa Cruz, United States
Co-chairs:  Andrea J Fassbender, NOAA Pacific Marine Environmental Laboratory, Seattle, United States and Keith B Rodgers, Tohoku University, Sendai, Japan
 
Evaluating the performance of CMIP6 models in simulating Southern Ocean biogeochemistry (2006361)
Ming Cheng1,2, Nicola Maher3,4 and Michael Joseph Ellwood1,2, (1)Australian National University, Research School of Earth Sciences, Canberra, ACT, Australia, (2)Australian Centre for Excellence in Antarctic Science, Canberra, ACT, Australia, (3)Australian National University, Research School of Earth Sciences, Canberra, Australia, (4)ARC Centre of Excellence for Weather of the 21st Century, Canberra, ACT, Australia
 
Identifying the effect of climate warming on marine phytoplankton biomass from satellite records (2006636)
Lei Lin1, Dongyan Liu2, Chen Dong3, Dongdong Xiang2 and Bingzhang Chen4, (1)Shandong University of Science and Technology, Qingdao, CHINA, (2)East China Normal University, Shanghai, China, (3)Shandong University of Science and Technology, Qingdao, China, (4)University of Strathclyde, Mathematics and Statistics, Glasgow, United Kingdom
 
Evaluation and improvement of the interior ocean ventilation of biogeochemical tracers in a global ocean model using observation-based metrics (2014018)
Simone Le Chevère1, Christopher Danek2, Seth M Bushinsky3 and Judith Hauck2, (1)Alfred Wegener Institute, Bremerhaven, Germany, (2)Alfred Wegener Institute Helmholtz-Center for Polar and Marine Research, Bremerhaven, Germany, (3)University of Hawaiʻi at Mānoa, Oceanography, Honolulu, United States
 
Using Models and Deep Argo Data to Guide Effective Monitoring and Enhance Understanding of Deep-Ocean Oxygen Variability (2021559)
Nemi Abomaye-Nimenibo, Louisiana State University, Oceanography and Coastal Sciences, Baton Rouge, United States, David Trossman, University of Maryland, Cooperative Institute for Satellite Earth System Studies, College Park, United States, Nathalie V Zilberman, Scripps Institution of Oceanography, La Jolla, United States and Helen Pillar, University of Texas at Austin, Oden Institute for Computational Engineering and Sciences, Austin, United States
 
Revealing Global Diversity in Ocean Biogeochemistry by Optimizing PISCES Parameters with BGC-Argo Data (2025459)
Marcus Falls1, Quentin Hyvernat2, Alexandre Mignot1, Elodie Gutknecht1 and Giovanni Ruggiero1, (1)Mercator Océan International, Toulouse, France, (2)Mercator Océan International / Sorbonne Université, CNRS, Laboratoire d’Océanographie de Villefranche (LOV), Toulouse / Villefranche sur Mer, France
 
Sparse Data and Explainable Machine Learning to Evaluate Earth System Models and Global Ocean Biogeochemistry Models (2026719)
Caroline Shaum, Organization Not Listed, Washington, DC, United States and Galen A McKinley, Columbia University and Lamont-Doherty Earth Observatory, New York, United States
 
Timing and amplitude biases in modeled dissolved inorganic carbon and temperature produce out of phase pCO2 and CO2 fluxes: A Southern Ocean case study (2031969)
Seth M Bushinsky1, Lionel Arteaga2, Andrea J Fassbender3, Judith Hauck4, Matthew R Mazloff5, Ivana Cerovecki6, Peter Landschützer7, Christian Rödenbeck8, Christopher Danek9, Anastasia Romanou10, Paul Lerner10, Alison R Gray11 and Sarah Schlunegger12, (1)University of Hawaii at Manoa, Department of Oceanography, Honolulu, United States, (2)Princeton University, Princeton, NJ, United States, (3)NOAA Pacific Marine Environmental Laboratory, Seattle, United States, (4)Alfred Wegener Institute Helmholtz-Center for Polar and Marine Research, Bremerhaven, Germany, (5)Scripps Institution of Oceanography, UCSD, La Jolla, United States, (6)Scripps Institution of Oceanography, San Diego, United States, (7)Flanders Marine Institute (VLIZ), Ostend, Belgium, (8)Max Planck Institute for Biogeochemistry, Jena, Germany, (9)University of Bonn, Meteorological Institute, Bonn, Germany, (10)NASA Goddard Institute for Space Studies, New York, NY, United States, (11)University of Washington, School of Oceanography, Seattle, United States, (12)Princeton University, Atmospheric and Oceanic Sciences, Princeton, NJ, United States
 
Comparing the Representation of fCO2 in GOBMs and Observations Using Statistical Learning (2033911)
Viviana Acquaviva1, Romina Wild2, Amanda R Fay3, Thea Hatlen Heimdal3, Alessandro Laio4 and Galen A McKinley3, (1)CUNY New York City College of Technology, Brooklyn, United States, (2)National Institute of Oceanography and Applied Geophysics - OGS, Trieste, Italy, (3)Columbia University and Lamont-Doherty Earth Observatory, New York, United States, (4)Scuola Internazionale Superiore di Studi Avanzati, Trieste, Italy
 
Disentangling why mechanistic drivers of interannual variability and emerging trends in subantarctic productivity are poorly constrained (2034918)
Christopher Traill1, Tyler Rohr2, Elizabeth Shadwick3, Pearse Buchanan4, Alessandro Tagliabue5 and Andrew R Bowie1, (1)University of Tasmania, Institute for Marine and Antarctic Studies, Hobart, TAS, Australia, (2)Institute for Marine and Antarctic Studies, Hobart, TAS, Australia, (3)CSIRO, Environment, Hobart, TAS, Australia, (4)CSIRO Marine and Atmospheric Research Hobart, Hobart, Australia, (5)University of Liverpool, Department of Earth, Ocean and Ecological Sciences, Liverpool, United Kingdom
 
Development of a Novel Hybrid Eulerian-Lagrangian Marine Ecosystem Model and Its Utility (2036569)
Yasuhiro Hoshiba1, Yoshimasa Matsumura2, Takao Kawasaki1 and Shinichiro Kida3, (1)Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Kanagawa, Japan, (2)National Institute for Environmental Studies, Tsukuba, Japan, (3)Research Institute of Applied Mechanics, Kyushu University, Fukuoka, Japan
 
Resolving Systematic Surface pCO₂ Biases in Global Ocean Biogeochemistry Models Through Parameter Optimization (2038368)
Quentin Hyvernat1,2, Alexandre Mignot1, Giovanni Ruggiero1, Elodie Gutknecht1, Mokrane Belharet1, Marcus Falls1, Herve Claustre2 and Fabrizio D'Ortenzio2, (1)Mercator Océan International, Toulouse, France, (2)Sorbonne Université, CNRS, Laboratoire d’Océanographie de Villefranche (LOV), Villefranche-sur-mer, France
 
The Three-dimensional Biogeochemistry of the Antarctic Circumpolar Current in Observations and Earth System Models (2040514)
Alison R Gray, University of Washington, School of Oceanography, Seattle, United States and Nicole S Lovenduski, University of Colorado, Department of Atmospheric and Oceanic Sciences, Boulder, CO, United States
 
Ocean Phytoplankton Ecology and Growth Limitations: Northern Subpolar Lessons from Observations and CMIP6 Models (2041025)
Lillian Miller, University of Pennsylvania, Philadelphia, PA, United States, Irina Marinov, University of Pennsylvania, Department of Earth and Environmental Science, Philadelphia, United States, Anna Cabre, University of Pennsylvania, Earth and Environmental Science, Philadelphia, United States, Jonathan Tran, Princeton University, Princeton, United States and Priya Sharma, Children's Hospital of Philadelphia, Philiadelphia, United States
 
Unraveling Oxygen Minimum Zone Dynamics: Constraining Model Simulations with Observational Data Products for Improved Carbon Export Insights (2043578)
Lauren A. Moseley1, Jonathan David Sharp1, Andrea J Fassbender2 and Stevie Walker3, (1)University of Washington, Cooperative Institute for Climate, Ocean, and Ecosystem Studies, Seattle, United States, (2)NOAA Pacific Marine Environmental Laboratory, Seattle, United States, (3)University of Washington, Oceanography, Seattle, United States
 
Oceanic uptake, transport, and outgassing of chlorofluorocarbons (CFCs) in a hierarchy of eddy-active climate models (2047479)
Henri F Drake1, Megan Lickley2, Peidong Wang3, Lyssa Freese1 and Geoffrey Gebbie4, (1)University of California Irvine, Earth System Science, Irvine, United States, (2)Massachusetts Institute of Technology, Earth, Atmospheric, and Planetary Sciences, Cambridge, United States, (3)Stanford University, Stanford, CA, United States, (4)Woods Hole Oceanographic Institution, Woods Hole, United States
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