Along-track significant wave height (SWH) and wind speed modulus for the following missions : CFOSAT (nadir), Sentinel-3A, Sentinel-3B, Jason-3, Saral-AltiKa, Cryosat-2 and HY-2B in Near-Real Time (NRT) for a global coverage (-66°S/66+N for Jason-3, -80°S/80°N for Sentinel-3A and Saral/AltiKa). SWH measurements are computed from the leading edge of the altimeter waveform. For Sentinel-3A and 3B, they are deduced from the SAR altimeter. One file containing valid SWH is produced for each mission and for a 3-hour time window. It contains the filtered SWH (VAVH), the unfiltered SWH (VAVH_UNFILTERED) and the wind speed (wind_speed).

Significant Wave Height (SWH) monomission along-track altimeter satellite product available for Sentinel-3A, Sentinel-3B and Sentinel-6 Michael Freilich missions in Near-Real-Time. SWH values are computed from the High Resolution Mode, also known as Synthetic Aperture Radar mode (SAR) and are calibrated relative to buoys. A validity flag and the applied correction are also provided. Since April 2021, a new variable is included in the files : wind speed, computed by Gourrion (2002) algorithm using Collard (2005) table with PLRM sigma0 and SWH. Moreover, the values are cross-calibrated with Jason-3 standard F wind speed.

Measurements by drifting surface buoys. This system is a drifting mooring consisting of a surface buoy fastened to a floating anchor by a cable (trip line, buoy rope). It has to monitor as precisely as possible the water volume in which the floating anchor is immersed. The surface buoys are traced by Argos satellites.

“SMOS Near Real Time Level 2 swath wind speed” (SMOS L2WS NRT) products, which are SMOS retrieved surface wind speed gridded maps with a spatial sampling of 1/4°x 1/4° and consisting of orbital segments (containing parts of ascending and descending half orbits) following the granularity of the SMOS Level 1B near real time (NRT) data products. SMOS L2WS NRT products are available within 4 to 6 hours from sensing and are generated in NetCDF-4 format as described in the "SMOS Wind Data Service Product Description Document" (http://www.smosstorm.org/Document-tools/SMOS-Wind-Data-Service-Documentation).

Throughout France, Météo-France has a network of 554 observation stations, the Radome network, which provides the establishment with temperature, humidity, rainfall, wind and diffusion measurements. Maintaining operational conditions is our priority.

The TenGeoP-SARwv dataset is established based on the acquisitions of Sentinel-1A wave mode (WV) in VV polarization. This dataset consists of more than 37,000 SAR vignettes divided into ten defined geophysical categories, including both oceanic and meteorologic features. These images cover the entire open ocean and are manually selected from Sentinel-1A WV acquisitions in 2016. For each image, only one prevalent geophysical phenomena with its prescribed signature and texture is selected for labeling. The SAR images are processed into a quick-look image provided in the formats of PNG and GeoTIFF as well as the associated labels. They are convenient for both visual inspection and machine-learning-based methods exploitation. The proposed dataset is the first one involving different oceanic or atmospheric phenomena over the open ocean. It seeks to foster the development of strategies or approaches for massive ocean SAR image analysis. A key objective is to allow exploiting the full potential of Sentinel-1 WV SAR acquisitions, which are about 60,000 images per satellite per month and freely available. Such a dataset may be of value to a wide range of users and communities in deep learning, remote sensing, oceanography, and meteorology

Wave products from french SWIM instrument (height, direction, wavelength) and wind products from chinese SCAT scatterometer (wind speed and direction) on CFOSAT mission. Some meteorological variables sampled at the location of SWIM acquisitions are also distributed in dedicated files.