Potentialités agronomiques par culture (blé, haricot, maïs, orge, tabac et tournesol).

The Surface Ocean CO₂ Atlas (SOCAT) is a synthesis activity for quality-controlled, surface ocean fCO₂ (fugacity of carbon dioxide) observations by the international marine carbon research community (>100 contributors). SOCAT data is publicly available, discoverable and citable. SOCAT enables quantification of the ocean carbon sink and ocean acidification and evaluation of ocean biogeochemical models. SOCAT represents a milestone in biogeochemical and climate research and in informing policy. SOCAT data are released in versions. Each succeeding version contains new data sets as well as updates of older ones. The first version of SOCAT was released in 2011, the second and third version followed biennially. Automation allowed annual public releases since version 4. The latest SOCAT version (version 5) has 21.5 million observations from 1957 to 2017 for the global oceans and coastal seas. SOCAT contains data from the VOS, OceanSites network and mooring, buoy data in general as well as calibrated sensor data.

The aim of the product is to represent areas where all forms of resource extraction are prohibited such as: • fishing • aggregate extraction • hydrocarbon offshore facilities • aids to navigation • habitation The product is specified through the same components as for the first product plus 2 additional ones: • Pipe lines and cables • Military activity

The three digital maps provided in this product aim to assess the degree of Offshore windfarm siting suitability existing over a geographical area with a focal point where waters of France and Spain meet in Biscay Bay on 500 m depth. The maps display respectively the spatial distribution of the average and lowest windfarm siting suitability scores along with the average wind speed distribution over a time period of 10 years. They are part of a process set up to assess the fit for use quality of the currently available datasets to support a preliminary selection of potential offshore sites for wind energy development. To build these maps, GIS tools were applied to several key spatial datasets from the 5 data type domains considered in the project: Air, Marine Water, Riverbed/Seabed, Biota/Biology and Human Activities, collated during the initial stages of the project. Initially, each selected dataset was formatted and clipped to the study area extent and spatially classified according to suitability scores, to define raster layers with the variables depicting levels of current anthropogenic and environmental spatial occupation of activities, seabed depth and slope, distances to shoreline, shipping intensity, mean significant wave height, and substrate type. These pre-processed layers were employed as inputs for applying a spatial multi-criteria model using a wind farming suitability classification based on a discrete 5 grades index, ranging from Very Low up to Very High suitability. In adition to suitability maps, an average wind speed spatial distribution map for a 10 years period, at 10 m height, was obtained over the study area from the raster processing of a wind speed time series of monthly means available from daily wind analysis data. The characteristics of the datasets used in this exercise underwent an appropriateness evaluation procedure based on a comparison between their measured quality and those specified for the product. The study area, located in the Biscay Golf includes a coastal zone of Spain and France. Consequently, some zones are subject to constraints to offshore windfarm implementation due to environmental protection, visual impacts and seafoor attributes. Data gaps exist with an emphasis on fishing activity and distribution of essential habitats and species. All the spatial information made available in these maps and from the subsequent appropriateness analysis of the datasets, contributes to a clearer overview of the amount of public-access baseline knowledge currently existing for the North Atlantic basin area.

Le 14 mars 2017, un décret fixant un socle de données de référence mis à disposition par le service public est promulgué. Il entre en vigueur le 1er avril 2017. Ce décret est issu de l’article 14 de la LOI n° 2016-1321 du 7 octobre 2016 « pour une République numérique » dite « loi Lemaire ». Le décret a arrêté 9 données de références : - La Base Adresse Nationale (BAN) - Le Code Officiel Géographique (COG) - Le Plan Cadastral Informatisé (PCI) - Le Référentiel de l'organisation administrative de l'Etat - Le Référentiel à Grande Echelle (RGE) - Le Répertoire National des Associations (RNA) - Le Répertoire Opérationnel des Métiers et des Emplois (ROME) - Le Registre Parcellaire Graphique (RPG) : contours des îlots culturaux et leur groupe de cultures majoritaire - La base Sirene des entreprises et de leurs établissements (SIREN, SIRET) Le décret d’application 2017-3315 du 14 mars 2017 relatif au service public fixe la mise à disposition de ces données de référence en vue de faciliter leur réutilisation. Ces 9 données de références ont été choisis par rapport à leur fort impact économique et social. Le 14 juin 2017, un arrêté du Premier Ministre fixe le format, la description et les modalités de mise à disposition (voir lien URL). --- 3 types de licence concernent les bases de données diffusées en open data : - Licence Ouverte (LO): élaborée par la mission Etalab. Décret 2017 la désigne comme licence de référence pour les administrations pour la publication données publiques. Réutilisation large car autorise la reproduction, redistribution, l'adaptation et exploitation commerciale des données. Compatible avec les standards des licences Open Data internationaux. Obligation de mentionner la paternité (source : nom du "concédant" et date de dernière MAJ de la donnée ou renvoi lien URL vers la source d'information) - Licence ODbL: autorise à copier, distribuer, utiliser la BDD, produire des créations à partir de cette BDD et modifier, transformer, construire à partir de cette BDD. Obligation de mentionner la source des données, partager à l'identique les BDD dérivées, garder ouvertes ces données. Les données proposées sous cette licence sont similaires à celle de la licence d'en-dessous mais le libellé à la norme AFNOR et d'acheminement ne sont pas disponibles. Les données subissent des traitements de qualité supplémentaires. - Licence gratuite de repartage: autorise à copier, distribuer, utiliser la BDD et produire des créations à partir de cette BDD, modifier, transformer et construire à partir de cette BDD. Obligation de mentionner la source, ne pas commercialiser la donnée, communiquer à IGN et La Poste des bases dérivées et leur céder les droits d'auteurs et de propriété industrielle.

Calculation of the average annual sediment balance per stretch of coast for the past 50 years for all coastal zones bordering the North Atlantic Ocean. For this scale of study, this has been interpreted in terms of shoreline advance / retreat in mm/year. Required data sources are therefore national or international datasets giving this parameter directly. It is also possible to utilise more aggregated data sources, but annual values would then be approximated from them. The main challenge in producing this product lies with obtaining datasets which include this data from multiple countries and potentially multiple languages, since this data is usually produced as a result of comparatively small scale studies.

Calculation of the average annual sediment balance per stretch of coast for the past 100 years for all coastal zones bordering the North Atlantic Ocean. For this scale of study, this has been interpreted in terms of shoreline advance / retreat in mm/year. Required data sources are therefore national or international datasets giving this parameter directly. It is also possible to utilise more aggregated data sources, but annual values would then be approximated from them. The main challenge in producing this product lies with obtaining datasets which include this data from multiple countries and potentially multiple languages, since this data is usually produced as a result of comparatively small scale studies.

Ce jeu de données donne les intercommunalités sur le département de la Gironde.

'''Short description:''' MEDSEA_MULTIYEAR_WAV_006_012 is the multi-year wave product of the Mediterranean Sea Waves forecasting system (Med-WAV). It contains a Reanalysis dataset, an Interim dataset covering the period after the reanalysis until 1 month before present and a monthly climatological dataset (reference period 1993-2016). The Reanalysis dataset is a multi-year wave reanalysis starting from January 1985, composed by hourly wave parameters at 1/24° horizontal resolution, covering the Mediterranean Sea and extending up to 18.125W into the Atlantic Ocean. The Med-WAV modelling system is based on wave model WAM 4.6.2 and has been developed as a nested sequence of two computational grids (coarse and fine) to ensure that swell propagating from the North Atlantic (NA) towards the strait of Gibraltar is correctly entering the Mediterranean Sea. The coarse grid covers the North Atlantic Ocean from 75°W to 10°E and from 70° N to 10° S in 1/6° resolution while the nested fine grid covers the Mediterranean Sea from 18.125° W to 36.2917° E and from 30.1875° N to 45.9792° N with a 1/24° resolution. The modelling system resolves the prognostic part of the wave spectrum with 24 directional and 32 logarithmically distributed frequency bins. The wave system also includes an optimal interpolation assimilation scheme assimilating significant wave height along track satellite observations available through CMEMS and it is forced with daily averaged currents from Med-Physics and with 1-h, 0.25° horizontal-resolution ERA5 reanalysis 10m-above-sea-surface winds from ECMWF. ''DOI (Product)'': https://doi.org/10.25423/cmcc/medsea_multiyear_wav_006_012 ''DOI (Interim dataset)'': https://doi.org/10.25423/ CMCC/MEDSEA_MULTIYEAR_WAV_006_012_MEDWAM3I ''DOI (climatological dataset)'': https://doi.org/10.25423/ CMCC/MEDSEA_MULTIYEAR_WAV_006_012_CLIM

Temporal series (annual mean values) and Long term Average (LTA) of water discharge for each river mouth where in situ data is available. Different sources can be mixed if any.