NOAA CYGNSS Level 2 Science Wind Speed 25-km Product Version 1.1
DOI10.5067/CYGNN-22511
Short NameCYGNSS_NOAA_L2_SWSP_25KM_V1.1
DescriptionThis dataset contains the Version 1.1 NOAA CYGNSS Level 2 Science Wind Speed Product Version 1.1 which provides the time-tagged and geolocated average wind speed (m/s) in 25x25 kilometer grid cells along the measurement tracks from the Delay Doppler Mapping Instrument (DDMI) aboard the CYGNSS satellite constellation. This version corresponds to the first science-quality release produced by NOAA/NESDIS using a specific geophysical model function (GMF version 1.0) and a track-wise debiasing algorithm as part of the wind speed retrieval process. The reported sample locations are determined by averaging the specular point locations falling within each 25 km grid cell. Only one netCDF data file is produced each day (each file containing data from up to 8 unique CYGNSS spacecraft) with a latency of approximately 6 days (or better) from the last recorded measurement time. Formatting of the data variables and metadata designed to be consistent with the netCDF formatting provided by the legacy CYGNSS mission Level 2 wind speed science data record (SDR).
Version1.1
Dataset TypeACTIVE
MeasurementSPECTRAL/ENGINEERING > RADAR > RADAR CROSS-SECTION
OCEANS > OCEAN WINDS > SURFACE WINDS
Processing Level2
CoverageRegion: GLOBAL
North Bounding Coordinate: 40 degrees
South Bounding Coordinate: 40 degrees
West Bounding Coordinate: -180 degrees
East Bounding Coordinate: 180 degrees
Time Span: 2017-May-01 to Present
Granule Time Span: 2017-May-01 to 2021-Apr-07
ResolutionSpatial Resolution: 25 km (Along) x 25 km (Across)
ProjectionEllipsoid: WGS 84
Swath Width25 km
Platform/Sensor
CYGNSS
Platform
Name: Cyclone Global Navigation Satellite System (CYGNSS)
Orbit Period: 94.0 minutes
Inclination Angle: 35.0 degrees
/
DDMI
SENSOR
Name: Delay Doppler Mapping Instrument (DDMI)
Swath Width: 25.0 kilometers
Description: Spacecraft angular distance from orbital plane relative to the Equator.

ProjectCyclone Global Navigation Satellite System (CYGNSS)
Data ProviderPublisher: PO.DAAC
Creator: NOAA/NESDIS/STAR/SOCD
Release Place: PO.DAAC
Release Date: 2020-Sep-28
Resource: https://manati.star.nesdis.noaa.gov/products/CYGNSS.php

Keyword(s)noaa, nesdis, star, socd, cygnss, ddm, ddmi, doppler, delay doppler, delay, specular point, wind, winds, wind speed, version 1.1, v1.1
Questions related to this dataset? Contact podaac@podaac.jpl.nasa.gov
PUBLICATIONS
  • https://doi.org/10.1175/BAMS-D-18-0337.1
    Ruf, C., S. Asharaf, R. Balasubramaniam, S. Gleason, T. Lang, D. McKague, D. Twigg, and D. Waliser. (2019). In-Orbit Performance of the Constellation of CYGNSS Hurricane Satellites. Bull. Amer. Meteor. Soc., 100, 2009 - 2023, https://doi.org/10.1175/BAMS-D-18-0337.1.
  • https://doi.org/10.1109/IGARSS.2019.8898099
    F. Said, Z. Jelenak, J. Park, S. Soisuvarn and P. S. Chang, "A Track-Wise Wind Retrieval Algorithm for the CYGNSS Mission," IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, Yokohama, Japan, 2019, pp. 8711-8714. doi: 10.1109/IGARSS.2019.8898099
  • https://doi.org/10.1175/BAMS-D-14-00218.1
    Ruf, C., R. Atlas, P. Chang, M. Clarizia, J. Garrison, S. Gleason, S. Katzberg, Z. Jelenak, J. Johnson, S. Majumdar, A. O'Brien, D. Posselt, A. Ridley, R. Rose, V. Zavorotny (2015). New Ocean Winds Satellite Mission to Probe Hurricanes and Tropical Convection. Bull. Amer. Meteor. Soc., doi:10.1175/BAMS-D-14-00218.1.
GENERAL DOCUMENTATION
USER'S GUIDE
ANOMALIES
DATA CITATION POLICY
Citation NOAA/NESDIS/STAR/SOCD. 2020. NOAA CYGNSS Level 2 Science Wind Speed 25-km Product Version 1.1. Ver. 1.1. PO.DAAC, CA, USA. Dataset accessed [YYYY-MM-DD] at https://doi.org/10.5067/CYGNN-22511

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For more information see Data Citations and Acknowledgments.

Journal Reference F. Said, Z. Jelenak, J. Park, S. Soisuvarn and P. S. Chang, "A Track-Wise Wind Retrieval Algorithm for the CYGNSS Mission," IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, Yokohama, Japan, 2019, pp. 8711-8714. doi: 10.1109/IGARSS.2019.8898099