'''Short description:''' For the Global Ocean - The product contains monthly Level-4 sea surface wind and stress fields at 0.25 degrees horizontal spatial resolution. The monthly averaged wind and stress fields are based on monthly average ECMWF ERA5 reanalysis fields, corrected for persistent biases using all available Level-3 scatterometer observations from the Metop-A, Metop-B and Metop-C ASCAT, QuikSCAT SeaWinds and ERS-1 and ERS-2 SCAT satellite instruments. The applied bias corrections, the standard deviation of the differences and the number of observations used to calculate the monthly average persistent bias are included in the product. '''DOI (product) :''' https://doi.org/10.48670/moi-00181

Ce guide a pour vocation d'informer sur les caractéristiques du risque incendie de forêt propres au massif des Landes de Gascogne, de définir les modalités de prise en compte du risque dans les documents d'urbanisme et de regrouper l'ensemble des réglementations et recommandations ayant trait à la protection contre les incendies. Il a été élaboré par l'Etat en partenariat avec l'Association des Maires des Landes et les organismes concernés par cette problématique.

'''Short Description''' The biogeochemical analysis and forecasts for the Mediterranean Sea at 1/24° of horizontal resolution (ca. 4 km) are produced by means of the MedBFM4 model system. MedBFM4, which is run by OGS (IT), consists of the coupling of the multi-stream atmosphere radiative model OASIM, the multi-stream in-water radiative and tracer transport model OGSTM_BIOPTIMOD v4.6, and the biogeochemical flux model BFM v5.3. Additionally, MedBFM4 features the 3D variational data assimilation scheme 3DVAR-BIO v4.1 with the assimilation of surface chlorophyll (CMEMS-OCTAC NRT product) and of vertical profiles of chlorophyll, nitrate and oxygen (BGC-Argo floats provided by CORIOLIS DAC). The biogeochemical MedBFM system, which is forced by the NEMO-OceanVar model (MEDSEA_ANALYSIS_FORECAST_PHY_006_013), produces one day of hindcast and ten days of forecast (every day) and seven days of analysis (weekly on Tuesday). Salon, S.; Cossarini, G.; Bolzon, G.; Feudale, L.; Lazzari, P.; Teruzzi, A.; Solidoro, C., and Crise, A. (2019) Novel metrics based on Biogeochemical Argo data to improve the model uncertainty evaluation of the CMEMS Mediterranean marine ecosystem forecasts. Ocean Science, 15, pp.997–1022. DOI: https://doi.org/10.5194/os-15-997-2019 ''DOI (Product)'': https://doi.org/10.48670/mds-00358

'''This product has been archived''' For operationnal and online products, please visit https://marine.copernicus.eu '''Short description:''' For the Global Ocean - The climatology refers to time series of monthly averaged wind variables calculated over the global oceans. It is estimated from daily global wind fields calculated from retrievals derived from ASCAT scatterometers onboard METOP-A and METOP-B satellites. It consists of six variables including monthly averaged wind speed, zonal and meridional wind components, wind stress amplitude and the associated components. They are calculated as arithmetic means of ASCAT daily wind analyses. The gridded daily wind and wind stress fields have been estimated over global oceans from Metop/ASCAT retrievals using the objective method. The daily analyses use standard products ASCAT L2b during the period April 2007 to present. Wind stress and the related components are estimated over swaths based on the use of Coare3.0 parameterization. The resulting daily fields are estimated as equivalent neutral-stability 10-m winds, and have spatial resolutions of 0.25° in longitude and latitude over global ocean. The objective method provides also errors characterizing the quality of each daily wind parameters at grid cell. More details about the data, the objective method, and computation algorithm may be found in (Bentamy et al, 2011. For monthly calculation purposes, only valid daily data available within each month of the period are used. The monthly winds are estimated at each grid point (0.25°x0.25°) from at least 25 daily values available at the same grid point. The associated root mean square (rms) values are also calculated at each grid point and used as quality control parameter. '''DOI (product) :''' https://doi.org/10.48670/moi-00181

'''Short description:''' This product provides daily (nighttime), merged multi-sensor (Level-3S, L3S) maps of foundation Sea Surface Temperature (SST) - that is, the SST free from diurnal warming - over the Mediterranean Sea, at high (HR, 1/16°) and ultra-high (UHR, 1/100°) spatial resolutions, covering the period from 2008 to present. Each map represents nighttime SST values and is produced by the Italian National Research Council – Institute of Marine Sciences (CNR-ISMAR). L3S maps are generated by selecting only the highest-quality SST observations from upstream Level-2 (L2) data acquired within a short local nighttime window, in order to minimize cloud contamination and avoid the effects of the diurnal cycle. The main L2 sources currently ingested include SLSTR from Sentinel-3A and -3B, VIIRS from NOAA-21, NOAA-20, and Suomi-NPP, AVHRR from Metop-B and -C, and SEVIRI. These L3S data serve as input to an optimal interpolation procedure used to generate gap-free Level-4 (L4) SST fields, as implemented in product 010_004 (Buongiorno Nardelli et al., 2013). '''DOI (product) :''' https://doi.org/10.48670/moi-00171

'''Short description:''' The Med MFC physical multiyear product is generated by a numerical system composed of an hydrodynamic model, supplied by the Nucleous for European Modelling of the Ocean (NEMO) and a variational data assimilation scheme (OceanVAR) for temperature and salinity vertical profiles and satellite Sea Level Anomaly along track data. The model horizontal grid resolution is 1/24˚ (ca. 4-5 km) and the unevenly spaced vertical levels are 141. The datasets are extended every year as well as on a monthly basis through one-month extensions in interim mode, reaching one month before present. ''DOI (Product)'': https://doi.org/10.25423/CMCC/MEDSEA_MULTIYEAR_PHY_006_004_E3R1 ''DOI (Interim dataset)'': https://doi.org/10.48670/mds-00375

Carte sur le périmètre des 53 communes du Plan de Protection de l'Atmosphère (PPA) sur l'agglomération bordelaise. Élaborée le 24/10/2011

La loi du 27 février 2002 relative à la démocratie de proximité fixe comme premier objectif du recensement de la population la publication tous les ans des chiffres des populations légales : population municipale, population comptée à part et population totale. Ces chiffres sont calculés pour la France, toutes ses communes et circonscriptions administratives. La population municipale comprend les personnes ayant leur résidence habituelle sur le territoire de la commune. Elle inclut les personnes sans abri ou résidant habituellement dans des habitations mobiles recensées sur le territoire de la commune ainsi que les détenus dans les établissements pénitentiaires de la commune. C'est la population statistique comparable à la population sans double compte des précédents recensements. La population comptée à part comprend certaines personnes dont la résidence habituelle est dans une autre commune mais qui gardent un lien de résidence avec la commune. Elle comprend, par exemple, les élèves ou étudiants majeurs qui logent pour leurs études dans une autre commune mais dont la résidence familiale est située sur le territoire de la commune ou les personnes résidant dans une maison de retraite située dans une autre commune mais qui ont conservé une résidence familiale sur le territoire de la commune. Il est important de dénombrer à part de telles situations, d'abord pour clarifier quelle est véritablement la commune de résidence mais aussi pour ne pas produire des doubles comptes entre deux communes quand on additionne leurs populations. La population totale est la somme de la population municipale et de la population comptée à part. Les populations légales millésimées "n" sont diffusées fin décembre "n+2" pour les communes, cantons, arrondissements, départements et régions de France. Les résultats statistiques du recensement "n" sont diffusés au cours du second semestre "n+3".

Coastal zones are presented as a series of 10 consecutive buffers of 1km width each (towards inland). For this dataset, were treated as sea data all areas with class values of 52x (521: coastal lagoons, 522: estuaries, 523: sea and ocean) in Corine Land Cover (details in lineage).

'''Short description:''' The NWSHELF_ANALYSISFORECAST_BGC_004_002 is produced by a coupled hydrodynamic-biogeochemical model, implemented over the North East Atlantic and Shelf Seas at about 7 km of horizontal resolution and 24 vertical levels. The product is daily, providing 7-day forecast of the main biogeochemical variables. Products are provided as daily and monthly means. '''DOI (product) :''' https://doi.org/10.48670/moi-00056