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Overview of Mercator Ocean Cal/Val activities

This overview delves into Mercator Ocean's operational assessment of real-time ocean analyses and forecasts, including scientific qualification processes and historical quality tracking. The text reviews the operational assessment of Mercator Ocean products, calibration/validation procedures, and qualification of reanalysis products. Emphasis is placed on monitoring assimilation performance, intercomparisons, and scientific processes like meso-scale qualifications. The document also explores traceability of production system quality and ongoing R&D validation studies, demonstrating Mercator Ocean's commitment to excellence in ocean prediction and analysis.

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Overview of Mercator Ocean Cal/Val activities

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  1. Overview of Mercator Ocean Cal/Val activities • Operational assessment of the real time Mercator ocean analyses and forecast • Scientific qualification of the systems and qualification of reanalyses products • Trace the history of the quality of the production systems • R&Dvalidationtargeted studies

  2. 1. Operational assessment of the real-time mercator ocean analyses and forecasts Verbrugge Nathalie2, Pene Nicolas2, Greiner Eric2, Drévillon Marie1, Lellouche Jean-Michel1, Benkiran Mounir2, Hernandez Fabrice1, Nouel Lucas1, Vinay Gaëtan1 1Mercator-Ocean, Toulouse, France 2CLS, Toulouse, France

  3. Real-time Mercator-Ocean products Since April 2008, Mercator runs a global ocean configuration at ¼° horizontal resolution and a North Atlantic and Mediterranean zoom at 1/12°. The real time operation of these systems produces each week realistic 3-dimensional oceanic conditions including a hindcast and forecast. Moreover, the regional zoom is operated daily to produce 7 day forecast with daily updates of the atmospheric ECMWF forcing. To fulfil the operational assessment of the quality of the system outputs, more than 1300 graphics per week are produced and visualised by an teamof operators through web pages. A step-by-step document guides them through the validation process. It contains expected nominal values, description of oceanographic structures/water masses …

  4. Residual vs Innovation in SLA Probability density function : Guess SST difference vs NOAA/RTG analysis Temperature residual / in situ Coriolis Assimilation performance The assimilation performance is monitored in the observations space (in situ Coriolis profiles, ½° SST RTG, and altimeters) and the delivery quality of the input data sets is supervised.

  5. Calibration/Validation procedure Before the distribution of its real-time products, Mercator-Ocean checks the quality with a Calibration/Validation procedure. This assessment procedure is operated automatically • Outputs are compared to independent observations (Cersat Sea Ice concentration and drifts, Odyssea High resolution SST, Coriolis drifters, T/S climatology, historical data sets…). • Hindcast, nowcast and forecasts are inter-compared to check the consistency of the production. • Some MERSEA metrics (mooring points and 2D oceanic sections) are also used.

  6. Comparisons of zonal velocities with some drifters from the CORIOLIS Database Drifters vs ¼° Hindcast Global system : 2D map and dispersion diagram Drifters vs SURCOUF SURCOUF : CLS analysed gridded velocity products from altimetry and drifters

  7. Sea Ice Cersat Sea Ice Concentration Hindcast Sea Ice Concentration from ¼° Global system 28-05-2008

  8. Work in progress • Qualification of meso scale processes • Qualification of nesting zones • Qualification of biological variables • Qualification of IBI system for coastal downstream applications • Routine intercomparisons of systems (quality/performance) Charly régnier1, Bruno Levier1, Abdelali El Moussaoui1, Claire Maraldi2, Fabrice Hernandez1 1. Mercator-Ocean 2. Mercator/LEGOS

  9. 2. Qualification of reanalysis products: example of GLORYS1V1 Nicolas Ferry1, Laurent parent1, Eric Greiner2, Marie Drévillon1, Elisabeth Rémy3 1Mercator-Ocean, Toulouse, France 2CLS, Toulouse, France 3 CERFACS, Toulouse, France

  10. Scientific qualification process • Check at least over a one year experiment: • the statistics: • Data assimilation statistics (mainly misfit average and RMS) • Comparisons with independent data (drifters, tide gauges) • Etc… • The physics: • Seasonal and interannual signals • High frequencies and analysis jumps • Equatorial waves • Volume transports • Etc.. • Try to analyze: • The systematic biases • The modes and tendencies

  11. SLA assimilation scores

  12. In situ average innovations/residuals PSY3V2R2 GLORYS • Example: SSS in 2007: • Real time data for PSY3V2R2 • reprocessed data for GLORYS

  13. Processes : example convection in the Labrador Sea Same diagnostic in GLORYS Seasonal-to-interannual development of potential temperature (…) in the central Labrador Sea (Figure from “Enhanced production of Labrador Sea Water in 2008, Igor Yashayaev and John W. Loder, GEOPHYSICAL RESEARCH LETTERS, VOL. 36, L01606, doi:10.1029/2008GL036162, 2009”).

  14. Ideas for routine monitoring of the GOOS • Edit a quartely bulletin including: • Black lists, grey lists • Record of data status • Record of geographical gaps • Sensitivity studies in reanalysis mode (see Elisabeth Remy in session 3)

  15. 3. Trace the history of the quality of the production system - quarterly bulletin (in progress)4. R&D validation targeted studies - process studies - OSE/OSSE etc…

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