CYGNSS Level 2 Science Data Record Version 3.0

(CYGNSS_L2_V3.0)
6 Publications Cited this Dataset
Citation metrics available for years (2014-2022)
Version3.0
Processing Level2
Start/Stop Date2018-Aug-01 to Present
Short NameCYGNSS_L2_V3.0
DescriptionThis dataset contains the Version 3.0 CYGNSS Level 2 Science Data Record which provides the time-tagged and geolocated average wind speed (m/s) and mean square slope (MSS) with 25x25 kilometer resolution from the Delay Doppler Mapping Instrument aboard the CYGNSS satellite constellation. This version supersedes Version 2.1; https://doi.org/10.5067/CYGNS-L2X21. The reported sample locations are determined by the specular points corresponding to the Delay Doppler Maps (DDMs). A subset of DDM data used in the direct processing of the average wind speed and MSS is co-located inside of the Level 2 data files. 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. Here is a summary of processing changes reflected in the v3.0 data: 1) the changes to calibration and validation of the Level 1 Normalized Bistatic Radar Cross Section (NBRCS) necessitated updates to the Geophysical Model Functions (GMFs) used to retrieve wind speed; 2) the GMF for fully developed seas (FDS) conditions was generating using matchups between NBRCS measurements and coincident wind speeds produced by NASAs Modern-Era Retrospective analysis for Research and Applications, version 2 (MERRA-2) reanalysis model; 3) the GMF for young seas with limited fetch (YSLF) was generated using matchups between NBRCS and coincident wind speeds produced by NOAAs Hurricane Weather Research and Forecast (HWRF) System; 4) YSLF wind speed is a tapered linear combination of wind speeds derived from the FDS and YSLF GMFs, where the taper gives more weight to FDS at low wind speeds and more to YSLF at high wind speeds and accounts for the transition from FDS to YSLF sea state conditions near cyclonic storms; 5) re-introduces measurements using transmissions from previously discarded GPS satellite block types; in prior versions, Block II-F was completely discarded due to large variations in GPS transmit power. The real time transmit power monitoring and correction implemented in Level 1 v3.0 data now allows Block II-F signals to be used.
DOI10.5067/CYGNS-L2X30
MeasurementSPECTRAL/ENGINEERING > RADAR > RADAR CROSS-SECTION
OCEANS > OCEAN WINDS > SURFACE WINDS
OCEANS > OCEAN WINDS > SURFACE WINDS
SPECTRAL/ENGINEERING > RADAR > SIGMA NAUGHT
SPECTRAL/ENGINEERING > RADAR > RADAR REFLECTIVITY
SPECTRAL/ENGINEERING > RADAR > RADAR CROSS-SECTION
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: CYGNSS
Release Place: PO.DAAC
Release Date: 2020-Oct-28
Resource: https://cygnss.engin.umich.edu/

FormatnetCDF-4
Keyword(s)cygnss, ddm, ddmi, doppler, delay doppler, delay, specular point, wind, winds, wind speed, version 3.0, v3.0, v3
Questions related to this dataset? Contact podaac@podaac.jpl.nasa.gov
Resolution
Spatial Resolution: 25000 Meters x 25000 Meters
Temporal Resolution: Hourly - < Daily
 
Coverage
Region: GLOBAL
North Bounding Coordinate: 40 degrees
South Bounding Coordinate: -40 degrees
West Bounding Coordinate: -180 degrees
East Bounding Coordinate: 180 degrees
Time Span: 2018-Aug-01 to Present
Granule Time Span: 2018-Aug-01 to 2022-Aug-06
Swath Width: 25 km
 
Projection
Projection Type: Satellite native along-track
Projection Detail: Geolocation information included for each pixel
Ellipsoid: WGS 84
 
NameLong NameUnit
antennaReceive antenna1
averaged_l1Maximum number of time-averaged L1-samples occuring in the same second1
azimuth_angleAzimuth angledegree
commanded_sc_rollCommanded spacecraft attitude roll angleradian
ddmMaximum number of time-averaged DDMs1
ddm_averaged_l1_utilized_flagDDM Average L1 utilized flags1
ddm_channelLevel 1 DDM reflectometry channels1
ddm_lesDDM leading edge slope observables1
ddm_nbrcsDDM normalized bistatic radar cross section observables1
ddm_num_averaged_l1Number of valid L1 samples averaged1
ddm_obs_utilized_flagDDM-utilized flags1
ddm_sample_indexLevel 1 netCDF sample indices1
ddm_sourceLevel 0 data source1
fds_les_wind_speedFully Developed Seas retrieval of wind speed from LESm s-1
fds_nbrcs_wind_speedFully Developed Sea retrieval of wind speed from NBRCSm s-1
fds_sample_flagsSample status flags for Fully Developed Seas wind speed retreval
fresnel_coeffFresnel power reflection coefficient1
incidence_angleIncidence angledegree
latLatitudedegrees_north
les_meanLES mean1
lonLongitudedegrees_east
mean_square_slopeMean square slope1
mean_square_slope_uncertaintyMean square slope uncertainty1
nbrcs_meanNBRCS mean1
num_ddms_utilizedNumber of DDM utilized1
prn_codeGPS PRN code1
range_corr_gainRange corrected gain1e-27 dBi meter-4
sampleSample index1
sample_flagsGeneral status flags for the sample
sample_timeSample time seconds since 2018-08-10 00:00:00.999261456
sc_altSpacecraft altitudemeter
sc_latSubsatellite point latitudedegrees_north
sc_lonSubsatellite point longitudedegrees_east
sc_rollSpacecraft attitude roll angleradian
spacecraft_idCCSDS spacecraft identifier1
spacecraft_numCYGNSS spacecraft number1
sum_neg_brcs_value_used_for_nbrcs_flagsSum of negative BRCS values used for NBRCS flags1
sv_numGPS space vehicle number1
wind_speedRetrieved wind speed using Minimum Variance estimator applied to Fully Developed Seas retrievals from NBRCS and LESm s-1
wind_speed_uncertaintyUncertainty in MV FDS wind speedm s-1
yslf_nbrcs_high_wind_speedYoung Seas/Limited Fetch retrieval of wind speed from NBRCSm s-1
yslf_sample_flagsSample status flags for Young Seas/Limited Fetch wind speed retreval
yslf_wind_speedRetrieved wind speed using blended FDS MV (at low winds) and YSLF NBRCS (at high winds) retrievals.m s-1
yslf_wind_speed_uncertaintyUncertainty in YSLF wind speedm s-1
DATA RECIPE
USER'S GUIDE
PUBLICATIONS
  • https://doi.org/10.1109/TGRS.2016.2541343
    Clarizia, M. P., and C. S. Ruf, 'Wind Speed Retrieval Algorithm for the Cyclone Global Navigation Satellite System (CYGNSS) Mission', IEEE Trans Geosci. Remote Sens., doi:10.1109/TGRS.2016.2541343, 2016.
  • 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/JSTARS.2018.2833075
    Ruf, C., R. Balasubramaniam, 'Development of the CYGNSS Geophysical Model Function for Wind Speed', IEEE J. Sel. Topics Appl. Earth Obs. Remote Sens., doi: 10.1109/JSTARS.2018.2833075, 2018.
  • 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.
  • https://doi.org/10.1109/TGRS.2021.3070238
    Wang, T., Ruf, C. S., Gleason, S., O’Brien, A. J., McKague, D. S., Block, B. P., Russel, A. 2021. Dynamic Calibration of GPS Effective Isotropic Radiated Power for GNSS-Reflectometry Earth Remote Sensing, IEEE Trans. Geosci. Remote Sens. DOI: 10.1109/TGRS.2021.3070238.
ALGORITHM THEORETICAL BASIS DOCUMENT (ATBD)
ANOMALIES
DATA CITATION POLICY
GENERAL DOCUMENTATION
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 CYGNSS. 2020. CYGNSS Level 2 Science Data Record Version 3.0. Ver. 3.0. PO.DAAC, CA, USA. Dataset accessed [YYYY-MM-DD] at https://doi.org/10.5067/CYGNS-L2X30

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For more information see Data Citations and Acknowledgments.
Journal Reference Ruf, C., Asharaf, S., Balasubramaniam, R., Gleason, S., Lang, T., McKague, D., Twigg, D., and Waliser, D.. 2019. In-Orbit Performance of the Constellation of CYGNSS Hurricane Satellites, Bull. Amer. Meteor. Soc., 100, 10. https://doi.org/10.1175/BAMS-D-18-0337.1

Wang, T., Ruf, C. S., Gleason, S., O’Brien, A. J., McKague, D. S., Block, B. P., and Russel, A.. 2021. Dynamic Calibration of GPS Effective Isotropic Radiated Power for GNSS-Reflectometry Earth Remote Sensing, IEEE Trans. Geosci. Remote Sens., 60. https://doi.org/10.1109/TGRS.2021.3070238