P. Rogel

Centre Européen de Recherche et de Formation Avancée en Calcul Scientifique

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Michel Déqué

Centre National de Recherches Météorologiques

Francisco J. Doblas‐Reyes

Universitat Politècnica de Catalunya

William Llovel

Université de Bretagne Occidentale

Anthony Weaver

Centre Européen de Recherche et de Formation Avancée en Calcul Scientifique

Noel Keenlyside

Bjerknes Centre for Climate Research

Anny Cazenave

Laboratoire d’Études en Géophysique et Océanographie Spatiales

Sophie Ricci

Centre Européen de Recherche et de Formation Avancée en Calcul Scientifique

ÉM

Éric Machu

Laboratory for Ocean Physics and Satellite Remote Sensing

C. Périgaud

Jet Propulsion Laboratory

Alban Lazar

Sorbonne Université

Cooperative Institutions

Centre National de la Recherche Scientifique

Laboratoire d’Études en Géophysique et Océanographie Spatiales

Université de Toulouse

Centre National d'Études Spatiales

Met Office

Centre Européen de Recherche et de Formation Avancée en Calcul Scientifique

Université Toulouse III - Paul Sabatier

Institut de Recherche pour le Développement

European Centre for Medium-Range Weather Forecasts

Sorbonne Université

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The DUACS project: Towards operational use of altimeter data in coupled ocean-atmosphere models for climate studies and forecasts, [short communication]

Elsevier oceanography series (2002)

Philippe Gaspar David L. T. Anderson Ch. Boone M. K. Davey Mohd Talib Latif

Satellite Altimetry

10.1016/s0422-9894(02)80045-9

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Citations (1)

La vague de chaleur de l'été 2003 et sa prévision saisonnière

Comptes Rendus Géoscience (2004)

Jean‐Claude André Michel Déqué P. Rogel Serge Planton

Heat wave

10.1016/j.crte.2004.02.003

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Citations (21)

Ensembles of global ocean analyses for seasonal climate prediction: impact of temperature assimilation

Tellus A Dynamic Meteorology and Oceanography (2005)

P. Rogel Anthony Weaver N. Daget Sophie Ricci Éric Machu

Two sets of ensembles of ocean initial conditions for seasonal climate prediction have been constructed following a strategy that preserves the dynamical balance of the ocean. One set has been constructed by perturbing the wind stress and sea surface temperature forcing of an ocean model. The other set is constructed by assimilating perturbed in situ temperature data using a fully multivariate three-dimensional variational system, in addition to using the perturbed forcing. Ensemble statistics are computed for the period 1990–1999.The ensemble mean temperature has a significant subsurface cold bias when no data are assimilated, indicating that some part of the DEMETER hindcast systematic error may be explained by the way the ensembles are generated. Constraining the temperature through data assimilation contributes to a reduction in this subsurface bias.The dispersion of the initial conditions is supposed to sample the uncertainty associated with the ocean initial state estimate. Therefore, a smaller spread in the assimilation case than in the forced-only case is consistent with the idea that ocean uncertainty has been reduced by constraining the ocean state through data assimilation. However, comparing ensemble spread and innovation statistics suggests that ocean uncertainty may be underestimated by the ensemble method in the assimilated case. It is also shown that wind stress perturbations mainly control the spread amplitude in the non-assimilated case, but that perturbed subsurface temperature observations have a stronger relative impact in the assimilation case.

Hindcast

Forcing (mathematics)

Wind Stress

Assimilation (phonology)

Predictability

Ensemble average

10.3402/tellusa.v57i3.14667

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Observing the large-scale variations of the ocean surface with Topex/Poseidon and a dynamical model: An application in the Gulf Stream region

P. Rogel Jean‐François Minster

First results with 16 months of Topex/Poseidon data are presented. The unprecedent accuracy (of the order of 5 cm including orbit) of this data set makes possible the study of large-scale signals. The global-averaged sea level exhibit seasonal and near-60-day signals at the sub-centimetric level, only partly explainable by errors or mismodelling of the altimeter corrections and which are strongly correlated with pressure fluctuations. The sea level variations outside the tropics are dominated by the steric height cycle of 5 to 8 cm amplitude. Variations of the major current positions may however be the causes for strong signals in the high eddy energy areas. The authors exhibit also interannual signals of that kind. A first assimilation experiment into a North Atlantic model is described. The dynamics of the Gulf Stream are well reproduced and this approach will help decorrelating the complexity of the ocean circulation in this region.< >

Sea-surface height

Ocean surface topography

Gulf Stream

10.1109/oceans.1994.363927

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Indian Ocean from Altimetry Assimilated into a Shallow-Water Model

C. Périgaud P. Rogel Eric Greiner

Satellite Altimetry

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Present-day Sea Level Changes in the World Coastal Zones

A. Cazenave Florence Birol Marcello Passaro Yvan Gouzènes P. Rogel

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Mean Sea Level Derived from Altimetry and Wind-Driven Numerical Models in the Indian Ocean

C. Périgaud P. Delécluse Eric Greiner P. Rogel

Wind-driven model skill in simulating sea level variations in the Indian Ocean depends on our knowledge of the mean ocean dynamic topography. This is demonstrated by running the nonlinear or linear version of a shallow-water model driven by observed winds over Geosat and TOPEX periods. Geosat variations are assimilated in the nonlinear shallow-water model with the objective of obtaining topography data.

Ocean surface topography

Nonlinear model

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Interannual to multidecadal variability of the mean sea level

AGU Fall Meeting Abstracts (2008)

Éric Hébrard William Llovel Anny Cazenave P. Rogel

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Mid latitude Atlantic SST influence on European winter climate variability in the NCEP Reanalysis