MetOp-A ASCAT Level 2 12.5-km Ocean Surface Wind Vector Climate Data Record Optimized for Coastal Ocean
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3 Publications Cited this Dataset
Citation metrics available for years (2014-2019)
DOI10.15770/EUM_SAF_OSI_0007
Short NameASCATA_L2_COASTAL_CDR
DescriptionThis dataset represents the first historically reprocessed Level 2 coastal ocean surface wind vector climate data record from the Advanced Scatterometer (ASCAT) on MetOp-A sampled on a 12.5 km grid. This coastal dataset utilizes a spatial box filter to generate a spatial average of the Sigma-0 retrievals from the Level 1B dataset and obtains additional winds near the coast. 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 vector cell wind using the same CMOD7 geophysical model function as in the operational OSI SAF ASCAT wind vector datasets. With this enhanced coastal retrieval, winds are computed as close to ~15 km from the coast. Each file corresponds to one complete orbit and is provided in netCDF version 3 format. The beginning of the orbit files is defined near the South Pole. ASCAT is a C-band fan beam radar scatterometer, providing two independent swaths of backscatter retrievals, aboard the MetOp-A platform in sun-synchronous polar orbit. 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). For more information on the MetOp mission, please visit: https://www.eumetsat.int/our-satellites/metop-series . For access to more contemporaneous and near-real-time MetOp-A ASCAT 12.5km data, please visit: https://podaac.jpl.nasa.gov/dataset/ASCATA-L2-Coastal. For more timely announcements, users are encouraged to register with the KNMI scatterometer email list: scat@knmi.nl. 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. Use cases and feedback on the products will be much appreciated and in fact helps to sustain the reprocessing capability.
Version1.0
Dataset TypeCOMPLETE
MeasurementOCEANS > OCEAN WINDS > SURFACE WINDS
Processing Level2
CoverageRegion: GLOBAL
North Bounding Coordinate: 89.6 degrees
South Bounding Coordinate: -89.6 degrees
West Bounding Coordinate: -180 degrees
East Bounding Coordinate: 180 degrees
Time Span: 2007-Jan-01 to 2014-Apr-01
Granule Time Span: 2007-Jan-01 to 2014-Apr-01
ResolutionSpatial Resolution:
Swath Width1800 km
Platform/Sensor
METOP-A
Platform
Name: Meteorological Operational Satellite - A (METOP-A)
Orbit Period: 101.3 minutes
Inclination Angle: 98.7 degrees
/
ASCAT
SENSOR
Name: Advanced Scatterometer (ASCAT)
Swath Width: 1800.0 kilometers
Description: Spacecraft angular distance from orbital plane relative to the Equator.

ProjectMeteorological Operational (MetOp)
Data ProviderPublisher: KNMI
Creator: EUMETSAT/OSI SAF
Release Place: KNMI, Royal Netherlands Meteorological Institute
Release Date: 2018-Apr-23
Resource: https://scatterometer.knmi.nl/ascat_cdr/

Keyword(s)metop-a, metop, wind data, wind, ocean wind, wind speed, vector, vectors, ocean wind vector, ocean wind vectors, knmi, osi saf, eumetsat
Questions related to this dataset? Contact podaac@podaac.jpl.nasa.gov
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Citation EUMETSAT/OSI SAF. 2018. MetOp-A ASCAT Level 2 12.5-km Ocean Surface Wind Vector Climate Data Record Optimized for Coastal Ocean. Ver. 1.0. PO.DAAC, CA, USA. Dataset accessed [YYYY-MM-DD] at https://doi.org/10.15770/EUM_SAF_OSI_0007

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For more information see Data Citations and Acknowledgments.

Journal Reference Verhoef, A., J. Vogelzang, J. Verspeek and A. Stoffelen, Long-Term Scatterometer Wind Climate Data Records, IEEE Journal of Selected Topics in Applied Earth O, 2017, 10, 5, 2186-2194, doi:10.1109/JSTARS.2016.2615873.

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