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Publications citing Oceansat-2 Scatterometer Level 2B Ocean Wind Vectors in 12.5km Slice Composites Version 2
Citation metrics available for years (2015-2019)
| Year | Citation |
|---|---|
| 2015 | NATIONAL REMOTE SENSING CENTRE REPORT/DOCUMENT CONTROL SHEET |
| 2017 | Jet Propulsion Laboratory. (2013b). Oceansat-2 Level 2B User Guide (Guide Document, Tech. Rep. V1). Pasadena, CA. Retrieved from: ftp://podaac-ftp.jpl.nasa.gov/allData/ oceansat2/L2B/oscat/jpl/docs/os2_oscat_l2b_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 | Use of an optimum interpolation method to construct a high-resolution global ocean surface vector wind dataset from active scatterometers and passive radiometers, International Journal of,https://doi.org/10.1080/01431161.2017.1341665 |
| 2018 | 48. NASA JPL. Physical Oceanography Distributed Active Archive Center. Available online: https://podaac.jpl. nasa.gov/dataset/OS2$_$OSCAT$_$LEVEL$_$2B$_$OWV$_$COMP$_$12$_$V2 (accessed on 12 June 2018). COSMO–SkyMed Synthetic Aperture Radar Data to Observe the Deepwater Horizon Oil Spill, Sustainability,https://doi.org/10.3390/su10103599 |
| 2018 | Evaluation of Satellite Surface Winds in Relation to Weather Regimes Over the Indian Ocean Using DYNAMO Observations, Journal of Geophysical Research: Atmospheres,https://doi.org/10.1029/2018JD028292 |
| 2018 | Floating plastic debris in the central and western Mediterranean sea: current status and its social perception, N/A,N/A |
| 2019 | Bio-optical response of surface waters to wind-induced upwelling off the Kanyakumari coast, Journal of Sea Research,https://doi.org/10.1016/j.seares.2019.01.002 |
| 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 | Comparison of oceansat-2 scatterometer wind data with global moored buoys and ascat observation, Advances in Meteorology,https://doi.org/10.1155/2019/1651267 |
| 2019 | Moroni, D., B. Stiles, and A. Fore, 2013: Oceansat-2 level 2B user guide. Tech. Rep. CL 13-1002, California Institute of Technology, Pasadena, CA, accessed 2 November 2018, 16 pp., ftp://podaac.jpl.nasa.gov/OceanWinds/oceansat2/L2B/oscat/ jpl/docs/os2_oscat_l2b_ug_v1_0.pdf. Diurnal cycle of surface winds in the Maritime Continent observed through satellite scatterometry, Monthly Weather Review,https://doi.org/10.1175/MWR-D-18-0433.1 |
| 2019 | Estimation of size of tropical cyclones in the North Indian Ocean using Oceansat-2 scatterometer high-resolution wind products, Theoretical and Applied Climatology,https://doi.org/10.1007/s00704-018-2464-y |
| 2019 | SeaPAC, 2013. Oceansat-2 Scatterometer Level 2B Ocean Wind Vectors in 12.5km Slice Composites Version 2. Ver. 2. PO.DAAC, CA, USA. Dataset accessed [2018-11-11] at. https://doi.org/10.5067/OSCT2-L2BV2. Inconsistencies in scatterometer wind products based on ASCAT and OSCAT-2 collocations, Remote Sensing of Environment,https://doi.org/10.1016/j.rse.2019.03.005 |
Please contact us if there are any discrepancies or inaccuracies found below.
| DOI | 10.5067/OSCT2-L2BV2 |
| Short Name | OS2_OSCAT_LEVEL_2B_OWV_COMP_12_V2 |
| Description | This dataset consists of the version 2 Level 2B science-quality ocean surface wind vector retrievals from the Oceansat-2 scatterometer (OSCAT), which was designed and launched by the Indian Space Research Organization (ISRO) 23 September 2009. This Level 2B dataset is produced by the Jet Propulsion Laboratory (JPL) QuikSCAT Project in cooperation with ISRO. The retrievals are provided on a non-uniform grid within the swath at 12.5 km pixel resolution. This 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. This newest version contains an improved geophysical model function (GMF), known as QSCAT12, consistent with the Remote Sensing Systems Ku2011 GMF, and an improved rain detection and flagging algorithm; these algorithms are consistent with the latest reprocessed version 3 QuikSCAT L2B dataset. Each L2B file corresponds to a specific orbital revolution (rev) number, which begins at the southernmost point of the ascending orbit. As a Ku-band dual pencil-beam rotating scatterometer, OSCAT design specs bear a strong resemblence of the Ku-band SeaWinds scatterometers on QuikSCAT and Midori-II (ADEOS-II). The primary difference between OSCAT and SeaWinds is the ~4 degree increase in the OSCAT incidence angle, which acts as an offset to the relatively lower altitude of Oceansat-2 to help provide a nearly identical swath width to SeaWinds. In the early phase of cal/val, the JPL QuikSCAT Project identified several problems, most of which have been corrected in this latest L2B version. This dataset release is expected to have an accuracy similar to that of the version 3 L2B QuikSCAT product, with minor caveats, all of which are described by Jaruwatanadilok et al. (2014) and summarized in the User Guide document which is made available in PO.DAAC Drive at https://podaac-tools.jpl.nasa.gov/drive/files/allData/oceansat2/L2B/oscat/jpl/docs/ . Read software is made available in MATLAB, Python, R, and IDL and is accessible in PO.DAAC Drive at https://podaac-tools.jpl.nasa.gov/drive/files/allData/oceansat2/L2B/oscat/jpl/sw/ . |
| Version | 2 |
| Dataset Type | OPEN |
| Measurement | OCEANS > OCEAN WINDS > SURFACE WINDS > Ocean Surface Wind Vectors |
| Processing Level | 2 |
| Coverage | Region: Global Northernmost Latitude: 90 degrees Southernmost Latitude: -90 degrees Westernmost Longitude: 360 degrees Easternmost Longitude: 0 degrees Time Span: 2010-Jan-16 to 2014-Feb-20 Granule Time Span: 2010-Jan-16 to 2014-Feb-20 |
| Resolution | Spatial Resolution: 12.5 km (Along) x 12.5 km (Across) |
| Projection | Type: Swath Detail: Along-track Grid Ellipsoid: WGS 84 |
| Latency | 1000 hours |
| Swath Width | 1836000 m |
| Sample Frequency | - |
| Temporal Repeat (Nominal) | 12 Hour |
| Temporal Repeat (Min) | 99.31 Minute |
| Temporal Repeat (Max) | 3 Day |
| Platform/Sensor | IRS-O2 / Platform Name: Oceansat-2 (IRS-O2) Orbit Period: 99.31 minutes Inclination Angle: 98.28 degrees Ascending Node: 1970-Jan-01 00:00:00 OSCAT SENSOR Name: Oceansat-2 Scanning Scatterometer (OSCAT) Swath Width: 1840 km Description: A Ku-band (13.515 GHz) pencil beam Scanning Scatterometer (SCAT). |
| Project | Quick Scatterometer (QUIKSCAT) |
| Data Provider | Creator: SeaPAC Release Place: PO.DAAC Release Date: 2013-Feb-26 Resource: https://podaac-tools.jpl.nasa.gov/drive/files/OceanWinds/oceansat2/L2B/oscat/jpl/docs/ |
| Keyword(s) | wind data, wind, ocean wind, wind speed, vector, vectors, ocean wind vector, ocean wind vectors, oceansat, oceansat-ii, oceansat-II, oceansat-2, oscat, isro, indian, scatterometer, l2b |
| Persistent ID | PODAAC-OSCT2-L2BV2 |
Questions related to this dataset? Contact podaac@podaac.jpl.nasa.gov
| PO.DAAC DRIVE | https://podaac-tools.jpl.nasa.gov/drive/files/allData/oceansat2/L2B/oscat/jpl/v2 |
| OPENDAP | http://opendap.jpl.nasa.gov/opendap/allData/oceansat2/L2B/oscat/jpl/v2/ |
| Format (Compression) | NETCDF (GZIP) |
| Web Service | https://podaac.jpl.nasa.gov/ws/search/granule/?datasetId=PODAAC-OSCT2-L2BV2 (Search Granule) |
| Citation | SeaPAC. 2013. Oceansat-2 Scatterometer Level 2B Ocean Wind Vectors in 12.5km Slice Composites Version 2. Ver. 2. PO.DAAC, CA, USA. Dataset accessed [YYYY-MM-DD] at https://doi.org/10.5067/OSCT2-L2BV2.
For more information see Data Citations and Acknowledgments.
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| Journal Reference | S. Jaruwatanadilok, B. W. Stiles, and A.G. Fore, 2014: Cross calibration between QuikSCAT and Oceansat-2. IEEE Trans. on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2013.2295539. | |||||||
