MetOp-A ASCAT Level 2 25-km Ocean Surface Wind Vector Climate Data Record

(ASCATA_L2_25KM_CDR)
Version1.0
Processing Level2
Start/Stop Date2007-Jan-01 to 2014-Apr-01
Short NameASCATA_L2_25KM_CDR
DescriptionThis dataset represents the first historically reprocessed Level 2 ocean surface wind vector climate data record from the Advanced Scatterometer (ASCAT) on MetOp-A sampled on a 25 km grid. Products at 25-km sampling are less noisy than 12.5-km products, but also contain less geophysical information on small scales and near the coasts. The wind vector retrievals are currently processed using the CMOD7 geophysical model function using a Hamming filter to spatially average the Level 1 Sigma-0 data over 25 km swath grid cells. 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 25-km data, please visit: https://podaac.jpl.nasa.gov/dataset/ASCATA-L2-25km. 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.
DOI10.15770/EUM_SAF_OSI_0006
MeasurementOCEANS > OCEAN WINDS > SURFACE WINDS
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/

FormatnetCDF-4
Keyword(s)metop-a, metop, wind data, wind, ocean wind, wind speed, vector, vectors, ocean wind vector, ocean wind vectors, knmi, osi saf, eumetsat, climate, climate data record, cdr
Questions related to this dataset? Contact podaac@podaac.jpl.nasa.gov
Resolution
Spatial Resolution: 25 Kilometers x 25 Kilometers
Temporal Resolution: 12 Hour
 
Coverage
Region: 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
Swath Width: 1800 km
 
USER'S GUIDE
GENERAL DOCUMENTATION
READ-ME
DATA CITATION POLICY
DATA RECIPE
Citation is critically important for dataset documentation and discovery. Please cite the data as follows, and cite the reference papers when it is appropriate.
Citation EUMETSAT/OSI SAF. 2018. MetOp-A ASCAT Level 2 25-km Ocean Surface Wind Vector Climate Data Record. Ver. 1.0. PO.DAAC, CA, USA. Dataset accessed [YYYY-MM-DD] at https://doi.org/10.15770/EUM_SAF_OSI_0006

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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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