QuikSCAT Level 2B Ocean Wind Vectors in 12.5km Slice Composites Version 3
(QSCAT_LEVEL_2B_OWV_COMP_12)
26 Publications Cited this Dataset
Citation metrics available for years (2014-2022)
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Publications citing QuikSCAT Level 2B Ocean Wind Vectors in 12.5km Slice Composites Version 3
Citation metrics available for years (2014-2022)
| Year | Citation |
|---|---|
| 2015 | Ships and offshore structures xix ,https://doi.org/10.1201/b18898 |
| 2015 | Multi-scale processes drive benthic community structure in upwelling-affected coral reefs, Frontiers in Marine Science ,https://doi.org/10.3389/fmars.2015.00002 |
| 2015 | SeaPac, 2014: QuikSCAT level 2B ocean wind vectors in 12.5km slice composites, version 3. PO.DAAC, accessed 1 July 2014, doi:https://doi.org/10.5067/QSX12-L2B01. Google Scholar Estimation of time-averaged surface divergence and vorticity from satellite ocean vector winds, Journal of Climate ,https://doi.org/10.1175/JCLI-D-15-0119.1 |
| 2015 | Analysis of Polar Mesocyclonic Surface Turbulent Fluxes in the Arctic System Reanalysis (ASRv1) Dataset |
| 2015 | A scatterometer geophysical model function for climate-quality winds: QuikSCAT Ku-2011, Journal of Atmospheric and Oceanic Technology ,https://doi.org/10.1175/JTECH-D-15-0008.1 |
| 2016 | SeaPAC, 2013. QuikSCAT Level 2B Ocean Wind Vectors in 12.5 km Slice Composites V.3. PO.DAAC, CA.USA A study of the formation mechanism of a long convection band over the Yellow Sea, Atmospheric Research ,https://doi.org/10.1016/j.atmosres.2016.02.019 |
| 2016 | SeaPAC, 2013: QuikSCAT Level 2B Ocean Wind Vectors in 12.5km Slice Composites Version 3. Ver. 3. PO.DAAC, CA, USA. Dataset accessed [2012-01-01] at http://dx.doi.org/10.5067/QSX12-L2B01. Adjustment of visually observed ship winds (Beaufort winds) in ICOADS, Dissertation ,http://purl.flvc.org/fsu/fd/FSU_2016SP_Li_fsu_0071N_13246 |
| 2016 | SeaPAC,2013: QuikSCAT Level 2B ocean wind vectors in 12.5 km slice composites version 3. PO.DAAC, doi:https://doi.org/10.5067/QSX12-L2B01. In situ and satellite evaluation of airsea flux variation near ocean temperature gradients, Journal of Climate ,https://doi.org/10.1175/JCLI-D-15-0489.1 |
| 2016 | SeaPAC (2013), QuikSCAT level 2B Ocean Wind Vectors in 12.5 km Slice Composites Version 3, PO.DAAC, CA, USA, Dataset accessed 2014-11-06. Circumventing rainrelated errors in scatterometer wind observations, Journal of Geophysical Research ,https://doi.org/10.1002/2016JD025105 |
| 2016 | SeaPAC (2013). QuikSCAT level 2B ocean wind vectors in 12.5 km slice composites version 3. Ver. 3. PO.DAAC, CA, USA. Dataset accessed [YYYY-MM-DD] at 10.5067/QSX12-L2B01. Adjustment of the summertime marine atmospheric boundary layer to the western Iberia coastal morphology, Journal of ,https://doi.org/10.1002/2016JD025055 |
| 2017 | SeaPAC. 2013, QuikSCAT Level 2B Ocean Wind Vectors in 12.5km Slice Composites Version 3. Ver. 3, PO.DAAC, CA, USA, dataset accessed 2013-12-23 at http://dx.doi.org/10.5067/QSX12-L2B01. An updated geophysical model for WindSat observations, Geoscience and Remote ,https://doi.org/10.1109/IGARSS.2017.8127179 |
| 2017 | Moroni, D. , Stiles, B. , Fore, A. , 2013. QuikSCAT Level 2b Version 3. Guide Document. Technical Report, PO.DAAC . Impact of using scatterometer and altimeter data on storm surge forecasting, Ocean Modelling ,https://doi.org/10.1016/j.ocemod.2017.03.014 |
| 2017 | Turbulent kinetic energy of the ocean winds over the Kuroshio Extension from QuikSCAT winds (19992009), Journal of Geophysical Research ,https://doi.org/10.1002/2016JC012404 |
| 2017 | SeaPAC (2013). QuikSCAT Level 2B Ocean Wind Vectors in 12.5 km Slice Composites, Version 3, PO.DAAC, CA. Dataset accessed 2014-11-06, http://doi.org/10.5067/QSX12-L2B01 Diurnal ConvectionWind Coupling in the Bay of Bengal, Journal of Geophysical ,https://doi.org/10.1002/2017JD027271 |
| 2017 | Jet Propulsion Laboratory. (2013a). QuikSCAT Level 2B Version 3 (Guide Document, Tech. Rep. V1). Pasadena, CA. Retrieved from: ftp://podaac.jpl.nasa.gov/allData/ quikscat/L2B12/docs/qscat_l2b_v3_ug_v1_0.pdf Improvements of storm surge forecasting in the Gulf of Venice exploiting the potential of satellite data: the ESA DUE eSurge-Venice project, European Journal of ,https://doi.org/10.1080/22797254.2017.1350558 |
| 2017 | SeaPAC, 2013: QuikSCAT level 2B ocean wind vectors in 12.5km slice composites, version 3. PO.DAAC. Subset used: November 1999October 2009, accessed 1 December 2013, doi:10.5067/QSX12-L2B01. The Gulf Stream convergence zone in the time-mean winds, Journal of the ,https://doi.org/10.1175/JAS-D-16-0213.1 |
| 2017 | SeaPAC, 2013. QuikSCAT Level 2B Ocean Wind Vectors in 12.5km Slice Composites Version 3. Ver. 3. PO.DAAC, CA, USA http://dx.doi.org/10.5067/QSX12-L2B01 (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 |
| 2018 | SeaPAC (2013). QuikSCAT level 2B ocean wind vectors in 12.5 km slice composites version 3. https://doi.org/10.5067/QSX12-L2B01, ver.3. PO.DAAC, CA, USA. Dataset accessed 2014-11-06. Satellite observations of enhanced chlorophyll variability in the Southern California Bight, Journal of Geophysical Research: Oceans ,https://doi.org/10.1029/2018JC014248 |
| 2019 | A modelling framework for EBUS: from seasonal to decadal time scales, 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 |
| 2020 | Moroni, D., Stiles, B., & Fore, A. (2013). QuikSCAT Level 2B Version 3 – Guide Document. URL: ftp://podaac.jpl.nasa.gov/allData/quikscat/L2B12/docs/qscat_l2b_v3_ug_v1_0.pdf. Islands as eddy transformation and generation hotspots: Cabo Verde case study, Progress in Oceanography ,https://doi.org/10.1016/j.pocean.2020.102271 |
| 2021 | SeaPAC, 2013. QuikSCAT level 2B ocean wind vectors in 12.5km slice composites version 3. PO.DAAC v3. https://doi.org/10.5067/QSX12- L2B01. (Accessed 4 May 2020) Estimating tropical cyclone surface winds: Current status, emerging technologies, historical evolution, and a look to the future, Journal ,10.1016/j.tcrr.2021.09.002 |
| 2021 | Quasi-tropical cyclone caused anomalous autumn coccolithophore bloom in the Black Sea, Journal ,10.5194/bg-18-3173-2021 |
| 2022 | Model Wind Optimization with Satellite Wind Observations for Operational Sea Level Prediction ,10.20944/preprints202212.0531.v1 |
| 2022 | Developing a new wind dataset by blending satellite data and WRF model wind predictions, Renewable Energy ,10.1016/j.renene.2022.07.049 |
| Version | 3 |
| Processing Level | 2 |
| Start/Stop Date | 1999-Oct-27 to 2009-Nov-22 |
| Short Name | QSCAT_LEVEL_2B_OWV_COMP_12 |
| Description | This dataset contains the latest reprocessed version 3 of the Level 2B science-quality ocean surface wind vector retrievals from the QuikSCAT scatterometer. The retrievals are provided on a non-uniform grid within the swath at 12.5 km pixel resolution. Higher resolution is achieved through a slice composite technique in which high resolution slice measurements from L1B data are composited into a 12.5 km wind vector cell. Version 3 processing begins with the same L1B (time-ordered backscatter) data as used in the previous processing. Version 3 has several improvements over the previous JPL processing of the QuikSCAT L2B winds: 1) changes to measurement binning, which was done in order to decrease noise and reduce gaps in the 12.5 km L2B wind retrievals, 2) an improved geophysical model function (GMF) to model the effect of wind on backscatter, 3) a neural network approach to correct rain contaminated winds speeds, 4) cross-track dependent wind speed biases were estimated and removed from the wind retrievals. The 12.5 km binning resolution enables users to obtain wind vector retrievals 10 km closer to shore when compared to the 25 km L2B dataset (only available in versions 1 and 2). More details to the processing changes and improvements are noted by Fore et al. (2014): PO.DAAC Drive at https://podaac-tools.jpl.nasa.gov/drive/files/allData/quikscat/L2B12/docs/fore_et_al_ieee_2014.pdf . Each L2B file corresponds to a specific orbital revolution (rev) number, which begins at the southernmost point of the ascending orbit. This is the official dataset produced by the QuikSCAT Project through the SeaWinds Processing and Analysis Center (SeaPAC). The Version 3 User Guide document is accessible from https://archive.podaac.earthdata.nasa.gov/podaac-ops-cumulus-docs/quikscat/open/L2B12/docs/qscat_l2b_v3_ug_v1_0.pdf. |
| DOI | 10.5067/QSX12-L2B01 |
| Measurement | OCEANS > OCEAN WINDS > SURFACE WINDS |
| Swath Width | 1800 km |
| Platform/Sensor | QUIKSCAT / Platform Name: QUIKSCAT (QUIKSCAT) Orbit Period: 100.93 minutes Inclination Angle: 98.6 degrees SEAWINDS SENSOR Name: SeaWinds Scatterometer (SEAWINDS) Swath Width: 1800.0 kilometers Description: Spacecraft angular distance from orbital plane relative to the Equator. |
| Project | Quick Scatterometer (QUIKSCAT) |
| Data Provider | Publisher: SeaPAC Creator: SeaPAC Release Place: PO.DAAC Release Date: 2013-Mar-29 Resource: https://archive.podaac.earthdata.nasa.gov/podaac-ops-cumulus-docs/quikscat/open/L2B12/docs/qscat_l2b_v3_ug_v1_0.pdf |
| Format | netCDF-4 |
| Keyword(s) | wind data, wind, ocean wind, wind speed, vector, vectors, ocean wind vector, ocean wind vectors, seawinds, quikscat, scatterometer, l2b, version 3, level 2, level 2b |
Questions related to this dataset? Contact podaac@podaac.jpl.nasa.gov
Resolution Spatial Resolution: 12.5 Kilometers x 12.5 Kilometers Temporal Resolution: 12 Hour Coverage Region: GLOBAL North Bounding Coordinate: 90 degrees South Bounding Coordinate: -90 degrees West Bounding Coordinate: -180 degrees East Bounding Coordinate: 180 degrees Time Span: 1999-Oct-27 to 2009-Nov-22 Granule Time Span: 1999-Oct-27 to 2009-Nov-22Swath Width: 1800 km Projection Projection Type: Swath Projection Detail: Along-track Grid 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/QSCAT_LEVEL_2B_OWV_COMP_12/ | |
| podaac-ops-cumulus-public/QSCAT_LEVEL_2B_OWV_COMP_12/ | |
AWS S3 Credentials | |
| Get AWS S3 Credentials | Documentation | |
| Name | Long Name | Unit |
|---|---|---|
| atmospheric_speed_bias | atmospheric speed bias | m s-1 |
| cross_track_wind_speed_bias | relative wind speed bias with respect to sweet spot | m s-1 |
| eflags | extended wind vector cell quality flags | bit |
| flags | wind vector cell quality flags | bit |
| lat | latitude | degrees_north |
| lon | longitude | degrees_east |
| nudge_wind_direction | model wind direction | degrees |
| nudge_wind_speed | model wind speed | m s-1 |
| num_ambiguities | number of ambiguous wind directions found in point-wise wind retrieval prior to spatial filtering | 1 |
| rain_impact | impact of rain upon wind vector retrieval | 1 |
| retrieved_wind_direction | equivalent neutral wind direction at 10 m | degrees |
| retrieved_wind_speed | equivalent neutral wind speed at 10 m | m s-1 |
| retrieved_wind_speed_uncorrected | wind speed without rain correction | m s-1 |
| time | date and time | seconds since 1999-01-01 0:0:0 |
| GENERAL DOCUMENTATION | |
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| ANOMALIES | |
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| USER'S GUIDE | |
| READ-ME | |
| 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 | SeaPAC. 2013. QuikSCAT Level 2B Ocean Wind Vectors in 12.5km Slice Composites Version 3. Ver. 3. PO.DAAC, CA, USA. Dataset accessed [YYYY-MM-DD] at https://doi.org/10.5067/QSX12-L2B01
For more information see Data Citations and Acknowledgments.
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| Journal Reference | Fore, A.G., Stiles, B.W., Chau, A.H., Williams, B.A., Dunbar, R. S., Rodriguez E., 2014: Point-wise Wind Retrieval and Ambiguity Removal Improvements for the QuikSCAT Climatological Data Set. IEEE Trans. Geoscience and Remote Sensing, doi:10.1109/TGRS.2012.2235843. . |
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| Version | Dataset | Version Date | Status | |
|---|---|---|---|---|
| 4.1 | QuikSCAT Level 2B Ocean Wind Vectors in 12.5km Slice Composites Version 4.1 | 2021-11-01 | COMPLETE | 2021-11-01T16:07:00.000Z |
| 4.0 | QuikSCAT Level 2B Ocean Wind Vectors in 12.5km Slice Composites Version 4.0 | Present | COMPLETE | |
| 3.1 | QuikSCAT Level 2B Ocean Wind Vectors in 12.5km Slice Composites Version 3.1 | 2021-11-02 | COMPLETE | 2021-11-02T14:44:00.000Z |
| 3 | QuikSCAT Level 2B Ocean Wind Vectors in 12.5km Slice Composites Version 3 | 2022-10-26 | COMPLETE | 2022-10-26T18:44:00.000Z |
| 1 | SeaWinds on QuikSCAT L2B Ocean Wind Vectors in 12.5km Slice Composites | Present | COMPLETE | |