MetOp-A ASCAT Level 2 12.5-km Ocean Surface Wind Vector Climate Data Record Optimized for Coastal Ocean
(ASCATA_L2_COASTAL_CDR)
6 Publications Cited this Dataset
Citation metrics available for years (2014-2021)
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Publications citing MetOp-A ASCAT Level 2 12.5-km Ocean Surface Wind Vector Climate Data Record Optimized for Coastal Ocean
Citation metrics available for years (2014-2021)
| Year | Citation |
|---|---|
| 2015 | ASCAT observations of downdrafts from mesoscale convective systems, Geophysical Research Letters,https://doi.org/10.1002/2015GL063025 |
| 2018 | A comparison of scatterometer and HF radar wind direction measurements, Journal of Operational Oceanography,https://doi.org/10.1080/1755876X.2018.1443625 |
| 2019 | Severe Marine Weather Systems During Freeze-Up in the Chukchi Sea: Cold-Air Outbreak and Mesocyclone Case Studies From Satellite Multisensor Measurements …, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,https://doi.org/10.1109/JSTARS.2019.2934749 |
| 2020 | Evaluation of different wind resources in simulating wave height for the Bohai, Yellow, and East China Seas (BYES) with SWAN model, Continental Shelf Research,https://doi.org/10.1016/j.csr.2020.104217 |
| 2021 | 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. Accessed at https://doi.org/10.15770/EUM_SAF_OSI_0007. Characterizing Buoy Wind Speed Error in Extreme Conditions through a Comparison with Scatterometers and ERA5 Reanalysis, Dissertation,https://purl.lib.fsu.edu/diginole/2020_Spring_Wright_fsu_0071N_15663 |
| 2021 | Characterizing Buoy Wind Speed Error in High Winds and Varying Sea State with ASCAT and ERA5, Journal,10.3390/rs13224558 |
| Version | 1.0 |
| Processing Level | 2 |
| Start/Stop Date | 2007-Jan-01 to 2014-Apr-01 |
| Short Name | ASCATA_L2_COASTAL_CDR |
| Description | This 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. |
| DOI | 10.15770/EUM_SAF_OSI_0007 |
| Measurement | OCEANS > OCEAN WINDS > SURFACE WINDS |
| Swath Width | 1800 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. |
| Project | Meteorological Operational (MetOp) |
| Data Provider | Publisher: KNMI Creator: EUMETSAT/OSI SAF Release Place: KNMI, Royal Netherlands Meteorological Institute Release Date: 2018-Apr-23 Resource: https://scatterometer.knmi.nl/ascat_cdr/ |
| Format | netCDF-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 |
Questions related to this dataset? Contact podaac@podaac.jpl.nasa.gov
Resolution Spatial Resolution: 12500 Meters x 12500 Meters Temporal Resolution: Hourly - < Daily Coverage Region: GLOBAL OCEAN 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-01Swath Width: 1800 km Projection Projection Type: Satellite native swath Projection Detail: Geolocation information included for each pixel |
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| Available for access in-region with AWS Cloud | |
Region | |
| us-west-2 | |
| podaac-ops-cumulus-protected/ASCATA_L2_COASTAL_CDR/ | |
| podaac-ops-cumulus-public/ASCATA_L2_COASTAL_CDR/ | |
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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 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
For more information see Data Citations and Acknowledgments.
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| Journal Reference | Verhoef, A., Vogelzang, J., Verspeek, J., and Stoffelen, A.. 2017. Long-Term Scatterometer Wind Climate Data Records, IEEE, 10, 5. https://doi.org/10.1109/JSTARS.2016.2615873 |
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