The ECCO‐Darwin Data‐Assimilative Global Ocean Biogeochemistry Model: Estimates of Seasonal to Multidecadal Surface Ocean <i>p</i>CO<sub>2</sub> and Air‐Sea CO<sub>2</sub> Flux
Dustin Carroll(Jet Propulsion Laboratory), H. Zhang(Jet Propulsion Laboratory), John D. Naviaux(California Institute of Technology), Oliver Jahn(Massachusetts Institute of Technology), Manfredi Manizza(Scripps Institution of Oceanography), Jess F. Adkins(California Institute of Technology), Jonathan Maitland Lauderdale(University of New Hampshire), Stephanie Dutkiewicz(Massachusetts Institute of Technology), Christian Rödenbeck(Max Planck Institute for Biogeochemistry), K. W. Bowman(Jet Propulsion Laboratory), Holger Brix(Helmholtz-Zentrum Hereon), David Schimel(Jet Propulsion Laboratory), Michelle M. Gierach(Jet Propulsion Laboratory), Dimitris Menemenlis(Jet Propulsion Laboratory), Tom Van der Stocken(Jet Propulsion Laboratory), Peter Landschützer(Flanders Marine Institute), Ian Fenty(Jet Propulsion Laboratory), Junjie Liu(California Institute of Technology), Chris Hill(Massachusetts Institute of Technology)
Cited by 133
Related Papers
A finite‐volume, incompressible Navier Stokes model for studies of the ocean on parallel computers
|Journal of Geophysical Research Atmospheres|1997|2.8k
Hydrostatic, quasi‐hydrostatic, and nonhydrostatic ocean modeling
|Journal of Geophysical Research Atmospheres|1997|1.5k
ECCO version 4: an integrated framework for non-linear inverse modeling and global ocean state estimation
|Geoscientific model development|2015|782
Representation of Topography by Shaved Cells in a Height Coordinate Ocean Model
|Monthly Weather Review|1997|660