廈門大學海洋與地球學院

                    College of Ocean and Earth Sciences
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                    Luncheon Seminar #151: Ocean biogeochemistry with ECCO and Darwin
                    2019/6/26 434 返回上頁
                    2019-7-1 (星期一) 1:00pm-2:00pm
                    Dimitris Menemenlis,Research Scientist
                    周隆泉樓A3-206 A3-206 Zhou Long Quan Building

                    【來訪單位 Institution】:California Institute of Technology,USA    

                    【邀請人 Host】:劉志宇  Zhiyu Liu      【聯絡人 Contact】:黃迎   Ying Huang 2181571

                    Abstract

                    Quantifying variability in the ocean CO2 sink remains problematic due to sparse observations and large spatiotemporal variability in surface-ocean p CO2. To address this challenge, we have developed a global ocean biogeochemistry model called ECCO-Darwin that is constrained by both physical and biogeochemical observations. The model is based on a physical ocean data synthesis provided by the Estimating the Circulation and Climate of the Ocean (ECCO) and on an ecological model provided by the Darwin project. A Green’s Function approach is used to adjust a small number (six) of empirical parameters and initial conditions for the biogeochemical component of the model. We compare ECCO-Darwin global and biome-scale air-sea CO2 fluxes to a suite of interpolation-based products over seasonal to multi-decadal timescales (1995–2017). ECCO-Darwin produces air-sea CO2 fluxes that exhibit broad-scale consistency with the interpolation-based products in many biomes, particularly in the subtropical and equatorial regions. The largest differences between estimates in long-term ocean CO2 uptake occur in subpolar seasonally-stratified biomes, where ECCO-Darwin produces stronger winter uptake. Compared to the Global Carbon Project (GCP) ocean biogeochemistry models, ECCO-Darwin has global CO2 sink (time-mean of -2.52 +/- 0.49 Pg C / yr) and interannual variability that is more consistent with the interpolation-based products. Contrary to interpolation-based products, ECCO-Darwin is less sensitive to sparse and uneven observational sampling and it permits full attribution of the inferred air-sea CO2 flux spatiotemporal variability.

                    Bio

                    Dr. Dimitris Menemenlis is a research scientist at the Jet Propulsion Laboratory, California Institute of Technology with over 25 years of experience working with ocean circulation models and state estimation technology.  He is a developer of the Massachusetts Institute of Technology general circulation model (MITgcm) and a contributor to the Estimating the Circulation and Climate of the Oceans (ECCO) and Carbon Monitoring System Flux (CMS-Flux) projects.




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