CYGNSS Level 2 Science Data Record Version 3.2

(CYGNSS_L2_V3.2)
Version3.2
Processing Level2
Start/Stop Date2018-Aug-01 to Present
Short NameCYGNSS_L2_V3.2
DescriptionThis dataset contains the version 3.2 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 3.1: https://doi.org/10.5067/CYGNS-L2X31. 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.

The L2 Geophysical Model Function (GMF) that maps L1 observables to ocean surface wind speed and the Significant Wave Height (SWH) second order correction to the wind speed retrievals were rederived to be consistent with the v3.2 L1 calibration. The method used for deriving the GMF and SWH correction is the same as for v3.1. An additional swell wave correction has been added to better account for the long wave dependence at low wind speeds. The FDS and YSLF retrieval algorithms are otherwise the same as v3.1. The v3.2 L2 YSLF wind speed is now designated as an intermediate product and should not be used ‘as is’. Additional quality control filters have been added to the Level 3 gridded product derived from the L2 YSLF wind speed to detect and remove outlier L2 samples, and use of the L3 product is recommended.

The CYGNSS is a NASA Earth System Science Pathfinder Mission that is intended to collect the first frequent space‐based measurements of surface wind speeds in the inner core of tropical cyclones. Made up of a constellation of eight micro-satellites, the observatories provide nearly gap-free Earth coverage using an orbital inclination of approximately 35° from the equator, with a mean (i.e., average) revisit time of seven hours and a median revisit time of three hours. This inclination allows CYGNSS to measure ocean surface winds between approximately 38° N and 38° S latitude. This range includes the critical latitude band for tropical cyclone formation and movement.
DOI10.5067/CYGNS-L2X32
MeasurementOCEANS > OCEAN WINDS > SURFACE WINDS
OCEANS > OCEAN WINDS > SURFACE WINDS
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: 2024-Mar-05
Resource: https://cygnss.engin.umich.edu/

FormatnetCDF-4
Keyword(s)cygnss, ddm, ddmi, doppler, delay doppler, delay, specular point, wind, winds, wind speed, version 3.2, v3.2
Questions related to this dataset? Contact podaac@podaac.jpl.nasa.gov
Resolution
Spatial Resolution: 25 Kilometers x 25 Kilometers
Temporal Resolution: Hourly - < Daily
 
Coverage
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
 
Projection
Projection Type: Satellite native along-track
Ellipsoid: WGS 84
 
NameLong NameUnit
antennaReceive antenna1
averaged_l1Maximum number of time-averaged L1-samples occuring in the same second1
azimuth_angleAzimuth angledegree
bit_ratio_lo_hi_portPort low/high bit counter ratio1
bit_ratio_lo_hi_starboardStarboard low/high bit counter ratio1
bit_ratio_lo_hi_zenithZenith low/high bit counter ratio1
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
mss_sample_flagsSample status flags for the Mean SquareSlope retreval
nbrcs_meanNBRCS mean1
num_ddms_utilizedNumber of DDM utilized1
port_gain_settingThe Nadir-Port Gain SettingdB
preliminary_yslf_nbrcs_high_wind_speedPreliminary Young Seas/Limited Fetch retrieval of wind speed from NBRCSm s-1
preliminary_yslf_wind_speedPreliminary YSLF wind speed with SWH correction appliedm s-1
preliminary_yslf_wind_speed_uncertaintyPreliminary uncertainty in YSLF wind speedm s-1
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 2018-08-11 00:00:00.999261459
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
starboard_gain_settingThe Nadir-Starboard Gain SettingdB
sum_neg_brcs_value_used_for_nbrcs_flagsSum of negative BRCS values used for NBRCS flags1
sv_numGPS space vehicle number1
swhSignificant height of combined wind waves and swellm
swh_corr_methodMethod of significant wave height correction1
swh_swell_sumSum of the swell components of the significant wave heightm
wind_speedRetrieved wind speed using Minimum Variance estimator applied to Fully Developed Seas retrievals from NBRCS and LESm s-1
wind_speed_biasBias in MV FDS wind speedm s-1
wind_speed_uncertaintyUncertainty in MV FDS wind speedm s-1
yslf_sample_flagsSample status flags for Young Seas/Limited Fetch wind speed retreval
DATA RECIPE
GENERAL DOCUMENTATION
DATA CITATION POLICY
ALGORITHM THEORETICAL BASIS DOCUMENT (ATBD)
DATA PRODUCT SPECIFICATION
PUBLICATIONS
  • 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. 10.1109/TGRS.2021.3070238.
USER'S GUIDE
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. 2024. CYGNSS Level 2 Science Data Record Version 3.1. Ver. 3.1. PO.DAAC, CA, USA. Dataset accessed [YYYY-MM-DD] at https://doi.org/10.5067/CYGNS-L2X32

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For more information see Data Citations and Acknowledgments.

Journal Reference Ruf, C., R. Balasubramaniam. 2018. Development of the CYGNSS Geophysical Model Function for Wind Speed, IEEE J. Sel. Topics Appl. Earth Obs. Remote Sens.. https://doi.org//10.1109/JSTARS.2018.2833075

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.. https://doi.org//10.1175/BAMS-D-14-00218.1

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.. https://doi.org//10.1175/BAMS-D-18-0337.1

Clarizia, M. P., and C. S. Ruf. 2016. Wind Speed Retrieval Algorithm for the Cyclone Global Navigation Satellite System (CYGNSS) Mission, IEEE Trans Geosci. Remote Sens.. https://doi.org//10.1109/TGRS.2016.2541343

Gleason, S., M. M. Al-Khaldi, C. Ruf, D. S. McKague, T. Wang, A. Russel. 2021. Characterizing and Mitigating Digital Sampling Effects on the CYGNSS Level 1 Calibration, IEEE Trans. Geosci. Remote Sens.. https://doi.org//10.1109/TGRS.2021.3120026

Pascual, D., M. P. Clarizia, C. S. Ruf. 2021. Improved CYGNSS Wind Speed Retrieval Using Significant Wave Height Correction, Remote Sensing. https://doi.org//10.3390/rs13214313

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. . https://doi.org//10.1109/TGRS.2021.3070238