On the resolutions of ocean altimetry maps

Abstract. The DUACS system produces sea level global and regional maps that serve oceanographic applications, climate forecasting centers, geophysics and biology communities. These maps are constructed from optimal interpolation of altimeter observations and are provided on a global 1/4° × 1/4° (longitude × latitude) and daily grid resolution framework (1/8° × 1/8° longitude × latitude grid for the regional products) through the Copernicus Marine Environment Monitoring Service (CMEMS). Yet, the dynamical content of these maps is not ensured to have a full 1/4° spatial and 1-day resolution, due to the filtering properties of the optimal interpolation. In the present study, we estimate the effective spatial and temporal resolutions of the newly reprocessed delayed-time DUACS maps (aka, DUACS-DT2018). Our approach is based on the spectral coherence between maps and independent datasets (along-track and tide gauge observations), which represents the correlation between two sea level signals as a function of wavelength. We found that the spatial resolution of the DUACS-DT2018 global maps based on sampling by three altimeters simultaneously ranges from ~ 100 km-wavelength at high latitude to ~ 800 km-wavelength in the Equatorial band and the mean temporal resolution is ~ 28 days period. The mean effective spatial resolution at mid-latitude is estimated to ~ 200 km. The mean effective spatial resolution is ~ 120 km for the regional Mediterranean Sea product and ~ 140 km for the regional Black Sea product. An inter-comparison with former DUACS reprocessing systems (aka, DUACS-DT2010 and DUACS-DT2014) highlights the progress of the system over the past 8 years, in particular a gain of resolution in highly turbulent regions. The same diagnostic applied to maps constructed with two altimeters and maps with three altimeters confirms a modest increase of resolving capabilities and accuracies in the DUACS maps with the number of missions.

[1]  Gerald Dibarboure,et al.  Using High-Resolution Altimetry to Observe Mesoscale Signals , 2012 .

[2]  Value of the Jason-1 Geodetic Phase to Study Rapid Oceanic Changes and Importance for Defining a Jason-2 Geodetic Orbit , 2016 .

[3]  D. Chelton,et al.  Global observations of nonlinear mesoscale eddies , 2011 .

[4]  P. Welch The use of fast Fourier transform for the estimation of power spectra: A method based on time averaging over short, modified periodograms , 1967 .

[5]  Rosemary Morrow,et al.  Mesoscale resolution capability of altimetry: Present and future , 2016 .

[6]  F. Bretherton,et al.  A technique for objective analysis and design of oceanographic experiments applied to MODE-73 , 1976 .

[7]  P. L. Traon,et al.  AN IMPROVED MAPPING METHOD OF MULTISATELLITE ALTIMETER DATA , 1998 .

[8]  D. Chelton,et al.  Frequency domain diagnostics for linear smoothers , 1992 .

[9]  D. Chelton,et al.  Global observations of large oceanic eddies , 2007 .

[10]  M. Jeroen Molemaker,et al.  Prospects for future satellite estimation of small-scale variability of ocean surface velocity and vorticity , 2019, Progress in Oceanography.

[11]  G. Dibarboure,et al.  Mesoscale Mapping Capabilities of Multiple-Satellite Altimeter Missions , 1999 .

[12]  Gilles Larnicol,et al.  Jason-2 in DUACS: Updated System Description, First Tandem Results and Impact on Processing and Products , 2011 .

[13]  J. Bendat,et al.  Random Data: Analysis and Measurement Procedures , 1987 .

[14]  Yannice Faugère,et al.  DUACS DT 2014 : the new multi-mission altimeter data set reprocessed over 20 years , 2016 .

[15]  Interactive comment on “DUACS DT-2018: 25 years of reprocessed sea level altimeter products” by Guillaume Taburet et al , 2019 .

[16]  Lee-Lueng Fu,et al.  Dynamic Mapping of Along-Track Ocean Altimetry: Method and Performance from Observing System Simulation Experiments , 2016 .

[17]  G. Larnicol,et al.  Mediterranean sea eddy kinetic energy variability from 11 years of altimetric data , 2005 .

[18]  R. Morrow,et al.  Fine Resolution Altimetry Data for a Regional Application in the Bay of Biscay , 2011 .

[19]  Fabrice Hernandez,et al.  Can We Merge GEOSAT Follow-On with TOPEX/Poseidon and ERS-2 for an Improved Description of the Ocean Circulation? , 2003 .

[20]  Dudley B. Chelton,et al.  The Accuracies of Smoothed Sea Surface Height Fields Constructed from Tandem Satellite Altimeter Datasets , 2003 .

[21]  D. Stammer Global Characteristics of Ocean Variability Estimated from Regional TOPEX/POSEIDON Altimeter Measurements , 1997 .

[22]  Walter H. F. Smith,et al.  Comparison of along‐track resolution of stacked Geosat, ERS 1, and TOPEX satellite altimeters , 1995 .

[23]  Ananda Pascual,et al.  Improved description of the ocean mesoscale variability by combining four satellite altimeters , 2006 .