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Featured researches published by Gael Forget.


Journal of Physical Oceanography | 2010

Mapping Ocean Observations in a Dynamical Framework: A 2004-06 Ocean Atlas

Gael Forget

Abstract This paper exploits a new observational atlas for the near-global ocean for the best-observed 3-yr period from December 2003 through November 2006. The atlas consists of mapped observations and derived quantities. Together they form a full representation of the ocean state and its seasonal cycle. The mapped observations are primarily altimeter data, satellite SST, and Argo profiles. GCM interpolation is used to synthesize these datasets, and the resulting atlas is a fairly close fit to each one of them. For observed quantities especially, the atlas is a practical means to evaluate free-running GCM simulations and to put field experiments into a broader context. The atlas-derived quantities include the middepth dynamic topography, as well as ocean fluxes of heat and salt–freshwater. The atlas is publicly available online (www.ecco-group.org). This paper provides insight into two oceanographic problems that are the subject of vigorous ongoing research. First, regarding ocean circulation estimates, ...


Bulletin of the American Meteorological Society | 2009

The Climode Field Campaign: Observing the Cycle of Convection and Restratification over the Gulf Stream

John Marshall; Raffaele Ferrari; Gael Forget; Guillaume Maze; Andreas J. Andersson; Nicholas R. Bates; William K. Dewar; Scott C. Doney; D. Fratantoni; Terrence M. Joyce; Fiammetta Straneo; John M. Toole; Robert A. Weller; J. Edson; Michael C. Gregg; Kathryn A. Kelly; S. Lozier; J. Palter; Rick Lumpkin; Roger M. Samelson; Eric D. Skyllingstad; K. Silverthorne; Lynne D. Talley; Leif N. Thomas

Abstract A major oceanographic field experiment is described, which is designed to observe, quantify, and understand the creation and dispersal of weakly stratified fluid known as “mode water” in the region of the Gulf Stream. Formed in the wintertime by convection driven by the most intense air–sea fluxes observed anywhere over the globe, the role of mode waters in the general circulation of the subtropical gyre and its biogeo-chemical cycles is also addressed. The experiment is known as the CLIVAR Mode Water Dynamic Experiment (CLIMODE). Here we review the scientific objectives of the experiment and present some preliminary results.


Geophysical Research Letters | 2013

Estimates of the Southern Ocean general circulation improved by animal‐borne instruments

Fabien Roquet; Carl Wunsch; Gael Forget; Patrick Heimbach; Christophe Guinet; Gilles Reverdin; Jean-Benoit Charrassin; Frédéric Bailleul; Daniel P. Costa; Luis A. Hückstädt; Kimberly T. Goetz; Kit M. Kovacs; Christian Lydersen; Martin Biuw; Ole Anders Nøst; Horst Bornemann; Joachim Ploetz; Marthan Nieuwoudt Bester; Trevor McIntyre; Mark A. Hindell; Clive R. McMahon; Gd Williams; Robert G. Harcourt; Iain C. Field; Léon Chafik; Keith W. Nicholls; Lars Boehme; Michael A. Fedak

Over the last decade, several hundred seals have been equipped with conductivity-temperature-depth sensors in the Southern Ocean for both biological and physical oceanographic studies. A calibrated collection of seal-derived hydrographic data is now available, consisting of more than 165,000 profiles. The value of these hydrographic data within the existing Southern Ocean observing system is demonstrated herein by conducting two state estimation experiments, differing only in the use or not of seal data to constrain the system. Including seal-derived data substantially modifies the estimated surface mixed-layer properties and circulation patterns within and south of the Antarctic Circumpolar Current. Agreement with independent satellite observations of sea ice concentration is improved, especially along the East Antarctic shelf. Instrumented animals efficiently reduce a critical observational gap, and their contribution to monitoring polar climate variability will continue to grow as data accuracy and spatial coverage increase.


Journal of Physical Oceanography | 2007

Estimated Global Hydrographic Variability

Gael Forget; Carl Wunsch

An estimate is made of the three-dimensional global oceanic temperature and salinity variability, omitting the seasonal cycle, both as a major descriptive element of the ocean circulation and for use in the error estimates of state estimation. Historical hydrography, recent data from the World Ocean Circulation Experiment, and Argo profile data are all used. Root-mean-square vertical displacements in the upper 300 m of the ocean are generally smaller than 50 m, except in energetic boundary currents and in the North Atlantic subpolar gyre. Variability in temperature and salinity is strongly correlated below the top 100 m. Salinity contributions to sea surface height variability appear more significant at low latitudes than expected, possibly resulting from advective and diffusive processes. Results are generally consistent with altimetric variability under two simple kinematic hypotheses, and much of the observed structure coincides with known dynamical features. A large fraction of the sea surface height variability is consistent with the hypothesis of dominance of the first baroclinic mode.


Journal of Physical Oceanography | 2009

Using Transformation and Formation Maps to Study the Role of Air-Sea Heat Fluxes in North Atlantic Eighteen Degree Water Formation

Guillaume Maze; Gael Forget; Martha W. Buckley; John Marshall; Ivana Cerovecki

Abstract The Walin water mass framework quantifies the rate at which water is transformed from one temperature class to another by air–sea heat fluxes (transformation). The divergence of the transformation rate yields the rate at which a given temperature range is created or destroyed by air–sea heat fluxes (formation). Walin’s framework provides a precise integral statement at the expense of losing spatial information. In this study the integrand of Walin’s expression to yield transformation and formation maps is plotted and used to study the role of air–sea heat fluxes in the cycle of formation–destruction of the 18° ± 1°C layer in the North Atlantic. Using remotely sensed sea surface temperatures and air–sea heat flux estimates based on both analyzed meteorological fields and ocean data–model syntheses for the 3-yr period from 2004 to 2006, the authors find that Eighteen Degree Water (EDW) is formed by air–sea heat fluxes in the western part of the subtropical gyre, just south of the Gulf Stream. The f...


Journal of Climate | 2013

A Comparison of Atmospheric Reanalysis Surface Products over the Ocean and Implications for Uncertainties in Air–Sea Boundary Forcing

Ayan H. Chaudhuri; Rui M. Ponte; Gael Forget; Patrick Heimbach

This paper investigates the uncertainties related to atmospheric fields from reanalysis products used in forcing ocean models. Four reanalysis products, namely from 1) the interim ECMWF Re-Analysis (ERAInterim), 2) version 2 of the Common Reference Ocean‐Ice Experiments (CORE2), 3) the 25-Year Japanese Reanalysis Project (JRA-25), and 4) NCEP‐NCAR, are evaluated against satellite-derived observations for eight different fields (zonal and meridional winds, precipitation, specific humidity, continental discharge, surface air temperature, and downwelling longwave and shortwave radiation fluxes). No single product is found to agree better in all fields with satellite-derived observations. Reanalysis products are mostly comparable to each other because of their similar physical assumptions and assimilation of common observations. Adjusted atmospheric fields from the Estimating the Circulation and Climate of the Ocean (ECCO) optimizations are also in agreement with other reanalysis products. Time-mean and time-variable errors are estimated separately and mapped globally in space, based on 14-day average fields to focus on monthly to interannual periods. Time-variable errors are larger in comparison to the signal than time-mean errors for most fields, thus justifying the need to separate them for studying uncertainties as well as formulating optimization procedures. Precipitation and wind stress fields show significant time-mean and time-variable errors whereas downwelling radiation, air temperature, and humidity fields show small time-mean errors but large time-variable errors, particularly in the tropics. Uncertainties based on evaluating multiple products presented here are considerably larger than uncertainties based on single product pairs.


Journal of Climate | 2014

Low-Frequency SST and Upper-Ocean Heat Content Variability in the North Atlantic

Martha W. Buckley; Rui M. Ponte; Gael Forget; Patrick Heimbach

AbstractA recent state estimate covering the period 1992–2010 from the Estimating the Circulation and Climate of the Ocean (ECCO) project is utilized to quantify the upper-ocean heat budget in the North Atlantic on monthly to interannual time scales (seasonal cycle removed). Three novel techniques are introduced: 1) the heat budget is integrated over the maximum climatological mixed layer depth (integral denoted as H), which gives results that are relevant for explaining SST while avoiding strong contributions from vertical diffusion and entrainment; 2) advective convergences are separated into Ekman and geostrophic parts, a technique that is successful away from ocean boundaries; and 3) air–sea heat fluxes and Ekman advection are combined into one local forcing term. The central results of our analysis are as follows: 1) In the interior of subtropical gyre, local forcing explains the majority of H variance on all time scales resolved by the ECCO estimate. 2) In the Gulf Stream region, low-frequency H ano...


Journal of Climate | 2015

Vertical Redistribution of Oceanic Heat Content

Xinfeng Liang; Carl Wunsch; Patrick Heimbach; Gael Forget

AbstractEstimated values of recent oceanic heat uptake are on the order of a few tenths of a W m−2, and are a very small residual of air–sea exchanges, with annual average regional magnitudes of hundreds of W m−2. Using a dynamically consistent state estimate, the redistribution of heat within the ocean is calculated over a 20-yr period. The 20-yr mean vertical heat flux shows strong variations in both the lateral and vertical directions, consistent with the ocean being a dynamically active and spatially complex heat exchanger. Between mixing and advection, the two processes determining the vertical heat transport in the deep ocean, advection plays a more important role in setting the spatial patterns of vertical heat exchange and its temporal variations. The global integral of vertical heat flux shows an upward heat transport in the deep ocean, suggesting a cooling trend in the deep ocean. These results support an inference that the near-surface thermal properties of the ocean are a consequence, at least...


Climate Dynamics | 2017

Intercomparison of the Arctic sea ice cover in global ocean–sea ice reanalyses from the ORA-IP project

Matthieu Chevallier; Gregory C. Smith; Frédéric Dupont; Jean-François Lemieux; Gael Forget; Yosuke Fujii; Fabrice Hernandez; Rym Msadek; K. Andrew Peterson; Andrea Storto; Takahiro Toyoda; Maria Valdivieso; Guillaume Vernieres; Hao Zuo; Magdalena A. Balmaseda; You-Soon Chang; Nicolas Ferry; Gilles Garric; Keith Haines; Sarah Keeley; Robin Kovach; Tsurane Kuragano; Simona Masina; Yongming Tang; Hiroyuki Tsujino; Xiaochun Wang

AbstractOcean–sea ice reanalyses are crucial for assessing the variability and recent trends in the Arctic sea ice cover. This is especially true for sea ice volume, as long-term and large scale sea ice thickness observations are inexistent. Results from the Ocean ReAnalyses Intercomparison Project (ORA-IP) are presented, with a focus on Arctic sea ice fields reconstructed by state-of-the-art global ocean reanalyses. Differences between the various reanalyses are explored in terms of the effects of data assimilation, model physics and atmospheric forcing on properties of the sea ice cover, including concentration, thickness, velocity and snow. Amongst the 14 reanalyses studied here, 9 assimilate sea ice concentration, and none assimilate sea ice thickness data. The comparison reveals an overall agreement in the reconstructed concentration fields, mainly because of the constraints in surface temperature imposed by direct assimilation of ocean observations, prescribed or assimilated atmospheric forcing and assimilation of sea ice concentration. However, some spread still exists amongst the reanalyses, due to a variety of factors. In particular, a large spread in sea ice thickness is found within the ensemble of reanalyses, partially caused by the biases inherited from their sea ice model components. Biases are also affected by the assimilation of sea ice concentration and the treatment of sea ice thickness in the data assimilation process. An important outcome of this study is that the spatial distribution of ice volume varies widely between products, with no reanalysis standing out as clearly superior as compared to altimetry estimates. The ice thickness from systems without assimilation of sea ice concentration is not worse than that from systems constrained with sea ice observations. An evaluation of the sea ice velocity fields reveals that ice drifts too fast in most systems. As an ensemble, the ORA-IP reanalyses capture trends in Arctic sea ice area and extent relatively well. However, the ensemble can not be used to get a robust estimate of recent trends in the Arctic sea ice volume. Biases in the reanalyses certainly impact the simulated air–sea fluxes in the polar regions, and questions the suitability of current sea ice reanalyses to initialize seasonal forecasts.


International Geophysics | 2013

Global Distribution and Formation of Mode Waters

Kevin G. Speer; Gael Forget

Abstract This Chapter is a brief survey of global mode water distribution and formation, with an emphasis on recent approaches and techniques. A new upper ocean water mass census based on observations from the Argo profiling float program is presented, to revisit Worthington’s 1981 calculation exploiting the nearly global coverage and especially the wintertime resolution in these newer data, notably problematic with ship-based hydrography. Water mass volumes and stratification are calculated from the Argo data and used to describe the global distribution of mode waters and their seasonal cycle. Water mass transformation rates are derived from a global state-estimate of the ocean and air–sea fluxes and applied to mode water density classes, to infer formation rates and to relate these to seasonal volumetric changes. A conceptual framework has been applied to the generation of mode water in terms of PV fluxes at the sea surface; dynamical mechanisms relevant to the impact of mode waters on circulation are summarized. Some results with climate simulations are noted, for the role of mode water in climate variability.

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Patrick Heimbach

University of Texas at Austin

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Rui M. Ponte

Massachusetts Institute of Technology

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Yosuke Fujii

Japan Meteorological Agency

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Fabrice Hernandez

Institut de recherche pour le développement

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Ichiro Fukumori

California Institute of Technology

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