MEDAR/MEDATLAS 2002: A Mediterranean and Black Sea database for operational oceanography

Fichaut, Michèle; Garcia, M. J.; Giorgetti, Alessandra; Iona, Athanasia; Kuznetsov, Alexander V.; Rixen, M.

doi:10.1016/s0422-9894(03)80107-1

Cited by 763 publications

(18 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The primary source of data for this study was the MEDAR/MEDATLAS project [ Fichaut et al , 2002], which comprises also data from the World Ocean Database 2001 [ Conkright et al , 2002]. Additional profiles were obtained from the Mediterranean Forecasting System Toward Environmental Prediction [ Pinardi et al , 2003] data bases, and from seven cruises conducted by the authors.…”

Section: Methodsmentioning

confidence: 99%

Seasonal variability of the mixed layer depth in the Mediterranean Sea as derived from in situ profiles

D’Ortenzio

Iudicone

Montégut

et al. 2005

Geophysical Research Letters

202

128

View full text Add to dashboard Cite

A new 0.5° resolution Mediterranean climatology of the mixed layer depth based on individual profiles of temperature and salinity has been constructed. The criterion selected is a threshold value of temperature from a near‐surface value at 10 m depth, mainly derived by a method applied on the global (de Boyer Montégut et al., 2004 dBM04). With respect to dBM04, the main differences reside in the absence of spatial interpolation of the final fields and in the improved spatial resolution. These changes to the method are necessary to reproduce the Mediterranean mixed layer's behavior. In the derived climatological maps, the most relevant features of the basin surface circulation are reproduced, as well as the areas prone of the deep water formation are clearly identified. Finally, the role of density in the definition of the mixed layer's differing behaviors between the oriental and the occidental regions of the basin is presented.

show abstract

Section: Methodsmentioning

confidence: 99%

Seasonal variability of the mixed layer depth in the Mediterranean Sea as derived from in situ profiles

D’Ortenzio

Iudicone

Montégut

et al. 2005

Geophysical Research Letters

202

128

View full text Add to dashboard Cite

show abstract

“…[29] The weighted parabolic interpolation (WPI) [Reiniger and Ross, 1968] is applied to the profiles to obtain the temperature and salinity fields at standard levels. This method is used in numerous oceanographic climatologies, such as the World Ocean Atlas ] and the MEDATLAS [Fichaut et al, 2003]. It is preferred to other methods because it does not generate nonphysical oscillations in the interpolated profiles.…”

Section: Vertical Interpolationmentioning

confidence: 99%

“…[87] The Cape Blanc region is characterized by a permanent upwelling [e.g., Barton et al, 1998] and a filament [Van Camp et al, 1991;Gabric et al, 1993]. This structure is known to be quasi-permanent and has been frequently sampled, making available a large number of data.…”

Section: Coastal Areamentioning

confidence: 99%

High‐resolution climatology of the northeast Atlantic using Data‐Interpolating Variational Analysis (Diva)

Troupin¹,

Machín²,

Ouberdous³

et al. 2010

J. Geophys. Res.

100

View full text Add to dashboard Cite

[1] Numerous climatologies are available at different resolutions and cover various parts of the global ocean. Most of them have a resolution too low to represent suitably regional processes and the methods for their construction are not able to take into account the influence of physical effects (topographic constraints, boundary conditions, advection, etc.). A high-resolution atlas for temperature and salinity is developed for the northeast Atlantic Ocean on 33 depth levels. The originality of this climatology is twofold: (1) For the data set, data are collected on all major databases and aggregated to lead to an original data collection without duplicates, richer than the World Ocean Database 2005, for the same region of interest. (2) For the method, climatological fields are constructed using the variational method Data-Interpolating Variational Analysis. The formulation of the latter allows the consideration of coastlines and bottom topography, and has a numerical cost almost independent on the number of observations. Moreover, only a few parameters, determined in an objective way, are necessary to perform an analysis. The results show overall good agreement with the widely used World Ocean Atlas, but also reveal significant improvements in coastal areas. Error maps are generated according to different theories and emphasize the importance of data coverage for the creation of such climatological fields. Automatic outlier detection is performed, and its effects on the analysis are examined. The method presented here is very general and not dependent on the region, hence it may be applied for creating other regional atlas in different zones of the global ocean.

show abstract

“…These projects focused on the rescue and analysis of temperature and salinity profiles. These projects successively released the Mediterranean Ocean Data Base MODB (The MODB Group, 1996;Brasseur et al, 1996), and MEDATLAS (MEDATLAS Consortium, 1997;Fichaut et al, 1999). The latter database included the MODB data set with further quality checks of the observations.…”

Section: Methodsmentioning

confidence: 99%

The UNESCO-IOC-IODE "Global Oceanographic Data Archeology and Rescue" (GODAR) Project and "World Ocean Database" Project

Levitus

2012

Data Sci. J.

View full text Add to dashboard Cite

show abstract

MEDAR/MEDATLAS 2002: A Mediterranean and Black Sea database for operational oceanography

Cited by 763 publications

References 1 publication

Seasonal variability of the mixed layer depth in the Mediterranean Sea as derived from in situ profiles

Seasonal variability of the mixed layer depth in the Mediterranean Sea as derived from in situ profiles

High‐resolution climatology of the northeast Atlantic using Data‐Interpolating Variational Analysis (Diva)

The UNESCO-IOC-IODE "Global Oceanographic Data Archeology and Rescue" (GODAR) Project and "World Ocean Database" Project

Contact Info

Product

Resources

About