气候变化领域集成服务门户(CCPortal): The ECCO-Darwin Data-Assimilative Global Ocean Biogeochemistry Model: Estimates of Seasonal to Multidecadal Surface Ocean pCO2 and Air-Sea CO2 Flux

CCPortal

DOI	10.1029/2019MS001888
	The ECCO-Darwin Data-Assimilative Global Ocean Biogeochemistry Model: Estimates of Seasonal to Multidecadal Surface Ocean pCO2 and Air-Sea CO2 Flux
	Carroll D.; Menemenlis D.; Adkins J.F.; Bowman K.W.; Brix H.; Dutkiewicz S.; Fenty I.; Gierach M.M.; Hill C.; Jahn O.; Landschützer P.; Lauderdale J.M.; Liu J.; Manizza M.; Naviaux J.D.; Rödenbeck C.; Schimel D.S.; Van der Stocken T.; Zhang H.
发表日期	2020
ISSN	19422466
卷号	12 期号:10
英文摘要	Quantifying variability in the ocean carbon sink remains problematic due to sparse observations and spatiotemporal variability in surface ocean pCO2. To address this challenge, we have updated and improved ECCO-Darwin, a global ocean biogeochemistry model that assimilates both physical and biogeochemical observations. The model consists of an adjoint-based ocean circulation estimate from the Estimating the Circulation and Climate of the Ocean (ECCO) consortium and an ecosystem model developed by the Massachusetts Institute of Technology Darwin Project. In addition to the data-constrained ECCO physics, a Green's function approach is used to optimize the biogeochemistry by adjusting initial conditions and six biogeochemical parameters. Over seasonal to multidecadal timescales (1995–2017), ECCO-Darwin exhibits broad-scale consistency with observed surface ocean pCO2 and air-sea CO2 flux reconstructions in most biomes, particularly in the subtropical and equatorial regions. The largest differences between CO2 uptake occur in subpolar seasonally stratified biomes, where ECCO-Darwin results in stronger winter uptake. Compared to the Global Carbon Project OBMs, ECCO-Darwin has a time-mean global ocean CO2 sink (2.47 ± 0.50 Pg C year−1) and interannual variability that are more consistent with interpolation-based products. Compared to interpolation-based methods, ECCO-Darwin is less sensitive to sparse and irregularly sampled observations. Thus, ECCO-Darwin provides a basis for identifying and predicting the consequences of natural and anthropogenic perturbations to the ocean carbon cycle, as well as the climate-related sensitivity of marine ecosystems. Our study further highlights the importance of physically consistent, property-conserving reconstructions, as are provided by ECCO, for ocean biogeochemistry studies. © 2020. The Authors.
英文关键词	air-sea CO2 flux; biogeochemistry; data assimilation; ecosystem model; ocean carbon cycle; ocean modeling
语种	英语
scopus关键词	Biogeochemistry; Carbon; Carbon dioxide; Climate models; Ecosystems; Interpolation; Equatorial regions; Green's function approaches; Interannual variability; Massachusetts Institute of Technology; Ocean biogeochemistry; Ocean carbon cycle; Sampled observations; Spatiotemporal variability; Oceanography; air-sea interaction; biogeochemical cycle; biogeochemistry; carbon dioxide; carbon flux; carbon sink; data assimilation; global ocean; marine ecosystem; oceanic circulation; seasonal variation; Australia; Darwin; Massachusetts; Northern Territory; United States
来源期刊	Journal of Advances in Modeling Earth Systems
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/156618
作者单位	Moss Landing Marine Laboratories, San José State University, Moss Landing, CA, United States; Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States; Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, CA, United States; Institute of Coastal Research, Helmholtz-Zentrum Geesthacht, Geesthacht, Germany; Joint Institute for Regional Earth System Science and Engineering, University of California, Los Angeles, Los Angeles, CA, United States; Department of Earth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technology, Cambridge, MA, United States; Center for Global Change Science, Massachusetts Institute of Technology, Cambridge, MA, United States; Max Planck Institute for Meteorology, Hamburg, Germany; Geosciences Research Division, Scripps Institution of Oceanography, University of California, San Diego, La Jolla, CA, United States; Max Planck Institute for Biogeochemistry, Jena, Germany
推荐引用方式 GB/T 7714	Carroll D.,Menemenlis D.,Adkins J.F.,et al. The ECCO-Darwin Data-Assimilative Global Ocean Biogeochemistry Model: Estimates of Seasonal to Multidecadal Surface Ocean pCO2 and Air-Sea CO2 Flux[J],2020,12(10).
APA	Carroll D..,Menemenlis D..,Adkins J.F..,Bowman K.W..,Brix H..,...&Zhang H..(2020).The ECCO-Darwin Data-Assimilative Global Ocean Biogeochemistry Model: Estimates of Seasonal to Multidecadal Surface Ocean pCO2 and Air-Sea CO2 Flux.Journal of Advances in Modeling Earth Systems,12(10).
MLA	Carroll D.,et al."The ECCO-Darwin Data-Assimilative Global Ocean Biogeochemistry Model: Estimates of Seasonal to Multidecadal Surface Ocean pCO2 and Air-Sea CO2 Flux".Journal of Advances in Modeling Earth Systems 12.10(2020).