'''Short description:''' For the '''Mediterranean Sea''' Ocean '''Satellite Observations''', the Italian National Research Council (CNR – Rome, Italy), is providing multi-years '''Bio-Geo_Chemical (BGC)''' regional datasets: * '''''plankton''''' with the phytoplankton chlorophyll concentration (CHL) evaluated via region-specific algorithms (Case 1 waters: Volpe et al., 2019, with new coefficients; Case 2 waters, Berthon and Zibordi, 2004), and the interpolated '''gap-free''' Chl concentration (to provide a "cloud free" product) estimated by means of a modified version of the DINEOF algorithm (Volpe et al., 2018); moreover, daily climatology for chlorophyll concentration is provided. * '''''pp''''' with the Integrated Primary Production (PP). '''Upstreams''': SeaWiFS, MODIS, MERIS, VIIRS-SNPP & JPSS1, OLCI-S3A & S3B for the '''"multi"''' products, and OLCI-S3A & S3B for the '''"olci"''' products '''Temporal resolutions''': monthly and daily (for '''"gap-free"''' and climatology data) '''Spatial resolution''': 1 km for '''"multi"''' and 300 meters for '''"olci"''' To find this product in the catalogue, use the search keyword '''"OCEANCOLOUR_MED_BGC_L4_MY"'''. '''DOI (product) :''' https://doi.org/10.48670/moi-00300

Litto3D provides 3D, continuous sea-land description of French coastal areas. Data is acquired by airborne topo-bathymetric LiDARs. Litto3D products come in 3D point clouds and digital terrain models formats. The product "Litto3D - Nouvelle-Aquitaine 2020-2022" covers the geographical area from the Charente-Maritime to the Spanish border. For the maritime part, the data produced by Shom extend offshore down to signal extinction, approximatively 20 depth when environmental conditions are optimal. On land, the data are truncated at a limit that ensures the product retain its coastal character.

'''This product has been archived''' For operationnal and online products, please visit https://marine.copernicus.eu '''Short description:''' For the Global Ocean - The climatology refers to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