MetOp-A ASCAT Level 2 Ocean Surface Wind Vectors Optimized for Coastal Ocean
(ASCATA-L2-Coastal)
25 Publications Cited this Dataset
Citation metrics available for years (2014-2022)
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Publications citing MetOp-A ASCAT Level 2 Ocean Surface Wind Vectors Optimized for Coastal Ocean
Citation metrics available for years (2014-2022)
| Year | Citation |
|---|---|
| 2015 | Accuracy evaluation of hub-height wind speeds estimated from scatterometer and mesoscale model |
| 2015 | Guido Benassai, Maurizio Migliaccio &, Journal of Marine Science and Technology ,https://doi.org/10.1007/s00773-015-0309-2 |
| 2017 | KNMI, 2010. Metop-A ASCAT Level 2 Ocean Surface Wind Vectors Optimized for Coastal Ocean. Ver. Operational/Near-real-time. PO.DAAC, CA, USA (Dataset accessed [2014-06-01]). Surface winds off Peru-Chile: Observing closer to the coast from radar altimetry, Remote sensing of ,https://doi.org/10.1016/j.rse.2017.01.010 |
| 2017 | NASA EOSDIS PO.DAAC. Physical Oceanography Distributed Active Archive Center (PO.DAAC). Available online: https://podaac.jpl.nasa.gov/ (accessed on 1 September 2015). Technical evaluation of Sentinel-1 IW mode cross-pol radar backscattering from the ocean surface in moderate wind condition, Remote Sensing ,http://doi.org/10.3390/rs9080854 |
| 2017 | KNMI. (2010) MetOp-A ASCAT Level 2 Ocean surface wind vectors optimized for coastal ocean. Ver. Operational/Near-Real-Time. PO.DAAC, CA, USA. Dataset accessed [2015-09-23 Does upwelling intensity determine larval fish habitats in upwelling ecosystems? The case of Senegal and Mauritania, Fisheries ,https://doi.org/10.1111/fog.12224 |
| 2017 | KNMI, 2010. MetOp-a ASCAT Level 2 Ocean Surface Wind Vectors Optimized for Coastal Ocean. Ver. Operational/Near-Real-Time. PO.DAAC, CA, USA. Dataset accessed [2015-09-23] [WWW Document]. Larval fish assemblages across an upwelling front: Indication for active and passive retention, Estuarine, Coastal and Shelf Science ,https://doi.org/10.1016/j.ecss.2016.12.015 |
| 2018 | Validation of wind speed retrieval from RISAT-1 SAR images of the North Indian Ocean, Remote Sensing Letters ,https://doi.org/10.1080/2150704X.2018.1430392 |
| 2018 | JPL, 2010. GHRSST Level 4 G1SST Global Foundation Sea Surface Temperature Analysis. Ver. 1. PO.DAAC, CA, USA Dataset accessed [2016-11-22] at. https://doi.org/10.5067/GHG1S-4FP01. Water masses and oceanic eddy regulation of larval fish assemblages along the Cape Verde Frontal Zone, Journal of Marine Systems ,https://doi.org/10.1016/j.jmarsys.2018.03.004 |
| 2018 | Combining ASCAT and NEXRAD Retrieval Analysis to Explore Wind Features of Mesoscale Oceanic Systems, Journal of Geophysical Research: Atmospheres ,https://doi.org/10.1029/2017JD028137 |
| 2018 | Evidence for low-level jets caused by coastal baroclinity at the Kurzeme shore of the Baltic Sea., Estonian Journal of Earth Sciences ,https://doi.org/10.3176/earth.2018.11 |
| 2018 | EUMETSAT/OSI SAF, 2010: MetOp-A ASCAT Level 2 Ocean Surface Wind Vectors Optimized for Coastal Ocean. Ver. Operational/Near-Real-Time. PO.DAAC, CA, USA, accessed 6 June 2017 at ftp://podaac-ftp.jpl.nasa.gov/allData/ascat/preview/L2/metop_a/coastal_opt/ Intraseasonal Variability in the diurnal cycle of precipitation in the Philippines, N/A |
| 2019 | Comparative study of offshore winds and wind energy production derived from multiple scatterometers and met buoys, Energy ,https://doi.org/10.1016/j.energy.2019.07.064 |
| 2019 | Wind velocity and wind curl variability over the Black Sea from QuikScat and ASCAT satellite measurements, Remote Sensing of Environment ,https://doi.org/10.1016/j.rse.2019.01.034 |
| 2019 | Canada Meteorological Center (2012). GHRSST Level 4 CMC0.2deg Global Foundation Sea Surface Temperature Analysis (GDS version 2). Ver. 2.0. PO.DAAC, CA. Available online at: https://podaac.jpl.nasa.gov/dataset/CMC0.2deg-CMC-L4-GLOB-v2.0 (accessed April 9, 2019). Regional structure in the marine heat wave of summer 2015 off the western United States, Frontiers in Marine Science ,https://doi.org/10.3389/fmars.2019.00564 |
| 2019 | Multi-Parameter Neural Network for Altimeter Tropical Cyclone Wind Speed Estimation, IEEE Workshop on Geoscience and Remote Sensing 2019 |
| 2019 | KNMI, 2010: MetOp-A ASCAT Level 2 ocean surface wind vectors optimized for coastal ocean. Ver. Operational/Near-Real-Time. PO.DAAC, CA, accessed 30 January 2017, https://podaac.jpl.nasa.gov/dataset/ASCATA-L2-Coastal. Characteristics of typhoon eyewalls according to World Wide Lightning Location Network data, Monthly Weather Review ,https://doi.org/10.1175/MWR-D-18-0235.1 |
| 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 |
| 2020 | EUMETSAT/OSI SAF, 2010: MetOp-A ASCAT level 2 ocean surface wind vectors optimized for coastal ocean, version Operational/Near-Real-Time. PO.DAAC, accessed xxxx, https://podaac.jpl.nasa.gov/dataset/ASCATA-L2-Coastal. Observational Analysis of Extratropical Cyclone Interactions with Northeast Pacific Sea Surface Temperature Anomalies, Journal of Climate ,https://doi.org/10.1175/JCLI-D-19-0853.1 |
| 2021 | KNMI, 2010. MetOp-A ASCAT Level 2 Ocean Surface Wind Vectors Optimized for Coastal Ocean. Ver. Operational/Near-Real-Time. PO.DAAC, CA, USA (Dataset accessed [YYYY-MM-DD]) Application of Landsat imagery for the investigation of wave breaking, Journal ,10.1016/j.rse.2020.112144 |
| 2021 | Multi-Parameter Neural Network for Altimeter Tropical Cyclone Wind Speed Estimation, Conference Paper ,10.1088/1755-1315/682/1/012020 |
| 2021 | UMETSAT/OSI SAF (2010) MetOp-A ASCAT level 2 ocean sur- face wind vectors optimized for coastal ocean. Version Operational/Near-Real-Time. PO.DAAC, CA. Available at: https://podaac.jpl.nasa.gov/dataset/ASCATA-L2-Coastal. Seasonal distribution and variability of surface winds in the Indonesian seas using scatterometer and reanalysis data, Journal ,10.1002/joc.7101 |
| 2021 | Tropical Cyclone Wind Speed Estimation From Satellite Altimeterâ€Derived Ocean Parameters, Journal ,10.1029/2020JC016988 |
| 2021 | Winter coccolithophore blooms in the Black Sea: Interannual variability and driving factors, Journal ,10.1016/j.jmarsys.2020.103461 |
| 2022 | Role of Sea Surface Physical Processes in Mixed‐Layer Temperature Changes During Summer Marine Heat Waves in the Chile‐Peru Current System, Journal of Geophysical Research: Oceans ,10.1029/2021JC018338 |
| 2022 | Diurnal variation of surface wind divergence in the Maritime Continent using ASCAT and SeaWinds observations and ERA5 reanalysis data, Scientific Online Letters on the Atmosphere ,10.2151/sola.2022-025 |
| Version | Operational/Near-Real-Time |
| Processing Level | 2 |
| Start/Stop Date | 2010-Aug-18 to 2021-Nov-15 |
| Short Name | ASCATA-L2-Coastal |
| Description | This dataset contains operational near-real-time Level 2 coastal ocean surface wind vector retrievals from the Advanced Scatterometer (ASCAT) on MetOp-A 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 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, as compared to the static ~35 km land mask in the standard 12.5 km dataset. 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 fan beam radar scatterometer providing two independent swaths of backscatter retrievals in sun-synchronous polar orbit aboard the MetOp-A platform. For more information on the MetOp 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. |
| DOI | Not Registered |
| 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: 2010-May-24 Resource: https://scatterometer.knmi.nl/publications/pdf/ASCAT_Product_Manual.pdf |
| 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: 2010-Aug-18 to 2021-Nov-15 Granule Time Span: 2010-Aug-18 to 2021-Nov-15Swath Width: 1800 km Projection Projection Type: Satellite native swath Projection Detail: Geolocation information included for each pixel Ellipsoid: WGS 84 |
| DIRECT ACCESS | |
| Browse Granule Listing | |
| Search Granules | |
| DIRECT S3-ACCESS | |
| Available for access in-region with AWS Cloud | |
Region | |
| us-west-2 | |
| podaac-ops-cumulus-protected/ASCATA-L2-Coastal/ | |
| podaac-ops-cumulus-public/ASCATA-L2-Coastal/ | |
AWS S3 Credentials | |
| Get AWS S3 Credentials | Documentation | |
| Name | Long Name | Unit |
|---|---|---|
| bs_distance | backscatter distance | 1 |
| ice_age | ice age (a-parameter) | dB |
| ice_prob | ice probability | 1 |
| lat | latitude | degrees_north |
| lon | longitude | degrees_east |
| model_dir | model wind direction at 10 m | degree |
| model_speed | model wind speed at 10 m | m s-1 |
| time | time | seconds since 1990-01-01 00:00:00 |
| wind_dir | wind direction at 10 m | degree |
| wind_speed | wind speed at 10 m | m s-1 |
| wvc_index | cross track wind vector cell number | 1 |
| wvc_quality_flag | wind vector cell quality |
| GENERAL DOCUMENTATION | |
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| USER'S GUIDE | |
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| DATA CITATION POLICY | |
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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. 2010. MetOp-A ASCAT Level 2 Ocean Surface Wind Vectors Optimized for Coastal Ocean. Ver. Operational/Near-Real-Time. PO.DAAC, CA, USA. Dataset accessed [YYYY-MM-DD] at https://doi.org/
For more information see Data Citations and Acknowledgments.
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| Journal Reference | Verhoef, A. and Stoffelen, A.. 2013. Validation of ASCAT coastal winds, EUMETSAT, SAF/OSI/CDOP/KNMI/TEC/RP/176. |
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