Global ocean circulation during 1992-1997, estimated from ocean observations and a general circulation model

By Detlef Stammer, Carl Wunsch, R. Giering, C. Eckert, Patrick Heimbach, Jochem Marotzke, Alistair Adcroft, Chris N. Hill, John Marshall. 2002

386 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change, Oceanography

View Paper: https://www.semanticscholar.org/paper/483f0ae17bff6996c1e6732ee2dea3c117c913e9

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Citations in the corpus

Development of a four‐dimensional variational coupled data assimilation system for enhanced analysis and prediction of seasonal to interannual climate variations (2008, methodology): “The error covariance matrices for the observational data were assumed to be diagonal and were determined from the temporal changes of the corresponding variables in each model grid point [ Stammer et al., 2002; Masuda et al., 2003].”
A multivariate balance operator for variational ocean data assimilation (2005, background): “In ocean applications of four-dimensional variational assimilation (4D-Var), cross-variable correlations in the background errors are often neglected altogether (Bennett et al. 2000; Stammer et al. 2002; Weaver et al. 2003).”
Large-Scale Ocean Heat and Freshwater Transports during the World Ocean Circulation Experiment (2003, methodology): “Also, full data-assimilating general circulation models as in Stammer et al. (2002) will reduce uncertainties by combining synoptic sections with a time-varying circulation.”
Evaluation of the GECCO2 ocean synthesis: transports of volume, heat and freshwater in the Atlantic (2015, background): “At the beginning, ocean syntheses were primarily designed for ocean (e.g Bahurel, 2006) and seasonal prediction (e.g. Goddard et al., 2001) and for describing the ocean state (e.g Stammer et al., 2002).”
An oceanographic three-dimensional variational data assimilation scheme (2008, methodology): “These last have been mainly used in oceanographic re-analyses with relatively coarse resolution models (e.g. Derber and Rosati, 1989; Masina et al., 2001; Stammer et al., 2002; Weaver et al., 2003; Fujii and Kamachi, 2003; Weaver et al., 2005).”
Satellite Salinity Observing System: Recent Discoveries and the Way Forward (2019, background): “…has demonstrated that the resulting synthesis product can provide a more accurate estimate of the ocean state than observations or model alone (Stammer et al., 2002a,b, 2016; Wunsch and Heimbach, 2013), including better handling of climate simulations of air-sea coupling and resulting changes…”
The Regional Ocean Modeling System (ROMS) 4-dimensional variational data assimilation systems Part I - System overview and formulation (2011, methodology): “For example, Stammer et al. (2002) have applied a 4D-Var approach for ocean state estimation using the MITgcm as part of the ‘‘Estimating the Circulation and Climate of the Ocean’’ (ECCO) project.”
Estimating Eddy Stresses by Fitting Dynamics to Observations Using a Residual-Mean Ocean Circulation Model and Its Adjoint (2005, methodology): “It is tempting to compare the patterns of wind stress adjustments with those obtained by the ECCO project (Stammer et al. 2002), which make use of a much more comprehensive observational set (daily forcings) and many more control parameters in a 2° resolution model.”
The GeoForschungsZentrum Potsdam/Groupe de Recherche de Gèodésie Spatiale satellite-only and combined gravity field models: EIGEN-GL04S1 and EIGEN-GL04C (2008, background): “G, ERS-2 until 2003, Topex/Poseidon 1992-2004) minus Estimating the Circulation & Climate of the Ocean (ECCO) modeled sea surface topography (Stammer et al. 2002), (6) NGA terrestrial gravity anomalies (if not covered by data sets 1 to 3) including standard deviations, almost worldwide continental…”