MetOp-C ASCAT Level 2 Ocean Surface Wind Vectors Optimized for Coastal Ocean

This dataset contains operational near-real-time Level 2 coastal ocean surface wind vector retrievals from the Advanced Scatterometer (ASCAT) on MetOp-C at 12.5 km sampling resolution (note: the effective resolution is 25 km). It is a product of the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) Ocean and Sea Ice Satellite Application Facility (OSI SAF) provided through the Royal Netherlands Meteorological Institute (KNMI). This coastal dataset differs from the standard 12.5 and 25 km datasets in that it utilizes a spatial box filter (rather than the Hamming filter) to generate a spatial average of the Sigma-0 retrievals from the Level 1B dataset; all full resolution Sigma-0 retrievals within a 15 km radius of the wind vector cell centroid are used in the averaging. Since the full resolution L1B Sigma-0 retrievals are used, all non-sea retrievals are discarded prior to the Sigma-0 averaging. Each box average Sigma-0 is then used to compute the wind vector cell using the same CMOD7.n geophysical model function as in the standard OSI SAF ASCAT wind vector datasets. With this enhanced coastal retrieval, winds can be computed as close to ~15 km from the coast. Each file is provided in netCDF version 3 format, and contains one full orbit derived from 3-minute orbit granules. Latency is approximately 2 hours from the latest measurement. The beginning of the orbit is defined by the first wind vector cell measurement within the first 3-minute orbit granule that starts north of the Equator in the ascending node. ASCAT is a C-band dual swath fan beam radar scatterometer providing two independent swaths of backscatter retrievals in sun-synchronous polar orbit aboard the MetOp-C platform. For more information on the MetOp-C mission, please visit: https://www.eumetsat.int/our-satellites/metop-series . For more timely announcements, users are encouraged to register with the KNMI scatterometer email list: scat@knmi.nl. Users are also highly advised to check the dataset user guide periodically for updates and new information on known problems and issues. All intellectual property rights of the OSI SAF products belong to EUMETSAT. The use of these products is granted to every interested user, free of charge. If you wish to use these products, EUMETSAT's copyright credit must be shown by displaying the words "copyright (year) EUMETSAT" on each of the products used.

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Maintainer undefined
Last Updated March 31, 2025, 13:19 (UTC)
Created March 31, 2025, 13:19 (UTC)
accessLevel public
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citation EUMETSAT/OSI SAF. 2019-11-15. MetOp-C ASCAT Level 2 Ocean Surface Wind Vectors Optimized for Coastal Ocean. Version Operational/Near-Real-Time. MetOp-C ASCAT Level 2 Ocean Surface Wind Vectors Optimized for Coastal Ocean. KNMI, Royal Netherlands Meteorological Institute. Archived by National Aeronautics and Space Administration, U.S. Government, KNMI. https://scatterometer.knmi.nl/publications/pdf/ASCAT_Product_Manual.pdf. EUMETSAT/OSI SAF, KNMI, 2019-11-15, MetOp-C ASCAT Level 2 Ocean Surface Wind Vectors Optimized for Coastal Ocean, https://scatterometer.knmi.nl/publications/pdf/ASCAT_Product_Manual.pdf.
creator EUMETSAT/OSI SAF
graphic-preview-description Thumbnail
graphic-preview-file https://podaac.jpl.nasa.gov/Podaac/thumbnails/ASCATC-L2-Coastal.jpg
harvest_object_id bbbc896c-050e-4450-8b0f-baba463854a8
harvest_source_id 61638e72-b36c-4866-9d28-551a3062f158
harvest_source_title DNG Legacy Data
identifier C2075141684-POCLOUD
issued 2019-03-06
landingPage https://cmr.earthdata.nasa.gov:443/search/concepts/C2075141684-POCLOUD.html
language {en-US}
metadata_type geospatial
modified 2019-03-06
programCode {026:001}
publisher NASA/JPL/PODAAC
references {https://doi.org/10.1109/JSTARS.2017.2681806}
release-place KNMI, Royal Netherlands Meteorological Institute
resource-type Dataset
series-name MetOp-C ASCAT Level 2 Ocean Surface Wind Vectors Optimized for Coastal Ocean
source_datajson_identifier true
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source_schema_version 1.1
spatial -180.0 -89.6 180.0 89.6
temporal 2019-10-22T16:42:00Z/2023-02-28T00:00:00Z
theme {MetOp,geospatial}