The GODAE/Mercator-Ocean global ocean forecasting system: results, applications and prospects

Drévillon, Marie; Bourdallé‐Badie, Romain; Derval, C.; Lellouche, J. M.; Rémy, E.; Tranchant, B.; Benkiran, Mounir; Greiner, Eric; Guinehut, S.; Verbrugge, Nathalie; Garric, Gilles; Testut, Charles-Emmanuel; Laborie, M; Nouel, L.; Bahurel, P.; Bricaud, Clément; Crosnier, Laurence; Dombrowsky, E.; Durand, Edmée; Ferry, Nicolas; Hernández, Fabrice; Galloudec, O. Le; Messal, F.; Parent, Laurent

doi:10.1080/1755876x.2008.11020095

Cited by 82 publications

(62 citation statements)

References 3 publications

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“…The configuration is based on the tri-polar configuration of Drévillon et al (2008) with 1 / 4 • (28 km) grid spacing near the Equator reducing to 6 km at high latitudes. More information on the FOAM setup and an initial validation of tracer fields can be found in the system description of Storkey et al (2010).…”

Section: The Foam Systemmentioning

confidence: 99%

Validation of FOAM near-surface ocean current forecasts using Lagrangian drifting buoys

2012

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Abstract. In this study, the quality of near-surface current forecasts from the FOAM ocean forecasting system is assessed using the trajectories of Lagrangian drifting buoys. A method is presented for deriving pseudo-Eulerian estimates of ocean currents from the positions of Surface Velocity Program drifters and the resulting data are compared to velocities observed by the global tropical moored buoy array. A quantitative analysis of the global FOAM velocities is performed for the period 2007 and 2008 using currents derived from over 3000 unique drifters (providing an average of 650 velocity observations per day). A potential bias is identified in the Southern Ocean which appears to be caused by wind-slip in the drifter dataset as a result of drogue loss. The drifter-derived currents are also used to show how the data assimilation scheme and a recent system upgrade impact upon the quality of FOAM current forecasts.

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Section: The Foam Systemmentioning

confidence: 99%

Validation of FOAM near-surface ocean current forecasts using Lagrangian drifting buoys

2012

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“…For example, nowcast systems use Oceanic General Circulation Models (OGCM) to predict sea level up to 10 days ahead, e.g. the Bureau's BLUElink OceanMAPs (Brassington et al 2012) and the French government's Mercator-Ocean (Drévillon et al 2008). For the climate change timescale, coupled Atmosphere-Ocean General Circulation Models (AOGCMs) have been used to investigate sea level rise and associated extreme events over several decades (Church et al 2014).…”

Section: Introductionmentioning

confidence: 99%

Seasonal prediction of global sea level anomalies using an ocean–atmosphere dynamical model

et al. 2014

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Advanced warning of extreme sea level events is an invaluable tool for coastal communities, allowing the implementation of management policies and strategies to minimise loss of life and infrastructure damage. This study is an initial attempt to apply a dynamical coupled oceanatmosphere model to the prediction of seasonal sea level anomalies (SLA) globally for up to 7 months in advance. We assess the ability of the Australian Bureau of Meteorology's operational seasonal dynamical forecast system, the Predictive Ocean Atmosphere Model for Australia (POAMA), to predict seasonal SLA, using gridded satellite altimeter observation-based analyses over the period 1993-2010 and model reanalysis over 1981-2010. Hindcasts from POAMA are based on a 33-member ensemble of seasonal forecasts that are initialised once per month for the period 1981-2010. Our results show POAMA demonstrates high skill in the equatorial Pacific basin and consistently exhibits more skill globally than a forecast based on persistence. Model predictability estimates indicate there is scope for improvement in the higher latitudes and in the Atlantic and Southern Oceans. Most characteristics of the asymmetric SLA fields generated by ElNino/La Nina events are well represented by POAMA, although the forecast amplitude weakens with increasing lead-time.

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“…Weather Forecasts), NCEP (National Centers for Environmental Prediction), or NOGAPS (Navy Operational Global Atmospheric Prediction System) and assimilate the altimeter-derived SHA fields, vertical profiles of in situ temperature and salinity (ARGO floats, XBT, CTD, and moored buoys), and SST analysis (Chassignet et al, 2007;Drévillon et al, 2008). Under these conditions the Mercator Ocean interacting with the TC which can participates in the TC intensification processes.…”

Section: Other Ocean Basinsmentioning

confidence: 99%

The Ocean Observing System for Tropical Cyclone Intensification Forecasts and Studies

Goñi

2010

Proceedings of OceanObs'09: Sustained Ocean Observations and Information for Society

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The GODAE/Mercator-Ocean global ocean forecasting system: results, applications and prospects

Cited by 82 publications

References 3 publications

Validation of FOAM near-surface ocean current forecasts using Lagrangian drifting buoys

Validation of FOAM near-surface ocean current forecasts using Lagrangian drifting buoys

Seasonal prediction of global sea level anomalies using an ocean–atmosphere dynamical model

The Ocean Observing System for Tropical Cyclone Intensification Forecasts and Studies

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