B108-0010
The ECCO-Darwin Data-assimilative Global-ocean Biogeochemistry Model: A New Modeling Framework for Ocean Carbon Cycle and Ecosystem Studies

Wednesday, 16 December 2020
Poster
Dustin Carroll1, Dimitris Menemenlis2, Kevin W Bowman3, Charles E Miller3, David Schimel2, Stephanie Dutkiewicz4, Oliver Jahn5, Christopher N Hill6, Hong Zhang2 and Ian G Fenty3, (1)Moss Landing Marine Laboratories, Moss Landing, CA, United States, (2)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (3)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, (4)Massachusetts Institute of Technology, Department of Earth, Atmospheric and Planetary Sciences, Cambridge, MA, United States, (5)Massachusetts Institute of Technology, Cambridge, MA, United States, (6)MIT, MA
Abstract:
The Estimating the Circulation and Climate of the Ocean (ECCO) consortium uses state-of-the-art ocean circulation models and global observations to make the best possible estimates of ocean circulation and its role in climate. Here we present ECCO-Darwin, which combines ECCO state estimates with the Darwin Project ecosystem model to provide a new global-ocean biogeochemistry state estimate from 1992–near-present. ECCO-Darwin represents an important technological step forward as it is the first global-ocean biogeochemistry model that (1) ingests both physical and biogeochemical observations into the model in a property-conserving manner and (2) considers how the nature of the ocean carbon sink and marine ecosystems have changed over multiple decades. For carbon-related studies, ECCO-Darwin produces surface-ocean pCO2 and air-sea CO2 fluxes that exhibit broad-scale consistency with interpolation-based products, particularly in the subtropical and equatorial regions. Additionally, compared to the Global Carbon Project (GCP) models, ECCO-Darwin has a global carbon sink and interannual variability that is more consistent with interpolation-based products. We also provide examples of downscaling the global-ocean ECCO-Darwin model for regional and coastal applications, which allows end users to generate high-resolution biogeochemical simulations for their region of interest. As the ECCO ocean circulation estimates become more accurate and lengthen in time, ECCO-Darwin will become an ever more accurate tool for identifying and predicting the consequences of natural and anthropogenic perturbations to the open- and coastal-ocean carbon cycle and the climate-related sensitivity of marine ecosystems.