Mean Dynamic Topography of the Ocean Derived from Satellite and Drifting Buoy Data Using Three Different Techniques

By N. Maximenko, P. Niiler, L. Centurioni, Marie-Hélène Rio, O. Melnichenko, D. Chambers, Victor Zlotnicki, B. Galperin. 2009

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Beyond GOCE for the ocean circulation estimate: Synergetic use of altimetry, gravimetry, and in situ data provides new insight into geostrophic and Ekman currents (2014, background): “Small-scale structures can be recovered by using in situ measurements [Rio and Hernandez, 2003;Maximenko et al., 2009].”
Southern Ocean eddy phenomenology (2015, methodology): “Further, we used an ocean dynamic topography as representation of the long-term mean geostrophic flow in the area (1992–2002 mean, from http://apdrc.soest.hawaii.edu/projects/DOT) [Maximenko et al., 2009].”
The Norwegian Earth System Model, NorESM1-M – Part 1: Description and basic evaluation of the physical climate (2013, methodology): “Right panels (b, d, f) show corresponding difference from observational based data sets (model minus observation) where SST and SSS are obtained from WOA09 and SSH uses a 1992–2002 data set described in Maximenko et al. (2009). Areas with missing observations are shaded with dark grey color and the ”
Pathways of marine debris derived from trajectories of Lagrangian drifters. (2012, background): “(a) Ensemble-mean streamlines overlaid on velocity magnitude (colors), derived from drifter trajectories (Maximenko et al., 2009).”
A multi-resolution approach to global ocean modeling (2013, methodology): “6 are too large by 0.25 to 0.40 m as compared to observations (Maximenko et al., 2009).”