CYGNSS Level 1 Science Data Record Version 2.1
SHARE THIS PAGE
5 Publications Cited this Dataset >>
Citation metrics available for years (2015-2019)
Please contact us if there are any discrepancies or inaccuracies found below.
DOI10.5067/CYGNS-L1X21
Short NameCYGNSS_L1_V2.1
DescriptionThis Level 1 (L1) dataset contains the Version 2.1 geo-located Delay Doppler Maps (DDMs) calibrated into Power Received (Watts) and Bistatic Radar Cross Section (BRCS) expressed in units of m2 from the Delay Doppler Mapping Instrument aboard the CYGNSS satellite constellation. This version supersedes Version 2.0. Other useful scientific and engineering measurement parameters include the DDM of Normalized Bistatic Radar Cross Section (NBRCS), the Delay Doppler Map Average (DDMA) of the NBRCS near the specular reflection point, and the Leading Edge Slope (LES) of the integrated delay waveform. The L1 dataset contains a number of other engineering and science measurement parameters, including sets of quality flags/indicators, error estimates, and bias estimates as well as a variety of orbital, spacecraft/sensor health, timekeeping, and geolocation parameters. At most, 8 netCDF data files (each file corresponding to a unique spacecraft in the CYGNSS constellation) are provided each day; under nominal conditions, there are typically 6-8 spacecraft retrieving data each day, but this can be maximized to 8 spacecraft under special circumstances in which higher than normal retrieval frequency is needed (i.e., during tropical storms and or hurricanes). Latency is approximately 6 days (or better) from the last recorded measurement time. The Version 2.1 release represents the second science-quality release. Here is a summary of improvements that reflect the quality of the Version 2.1 data release: 1) data is now available when the CYGNSS satellites are rolled away from nadir during orbital high beta-angle periods, resulting in a significant amount of additional data; 2) correction to coordinate frames result in more accurate estimates of receiver antenna gain at the specular point; 3) improved calibration for analog-to-digital conversion results in better consistency between CYGNSS satellites measurements at nearly the same location and time; 4) improved GPS EIRP and transmit antenna pattern calibration results in significantly reduced PRN-dependence in the observables; 5) improved estimation of the location of the specular point within the DDM; 6) an altitude-dependent scattering area is used to normalize the scattering cross section (v2.0 used a simpler scattering area model that varied with incidence and azimuth angles but not altitude); 7) corrections added for noise floor-dependent biases in scattering cross section and leading edge slope of delay waveform observed in the v2.0 data. Users should also note that the receiver antenna pattern calibration is not applied per-DDM-bin in this v2.1 release.
Version2.1
Dataset TypeOPEN
MeasurementSPECTRAL/ENGINEERING > RADAR > RADAR REFLECTIVITY > ZENITH SIGNAL POWER
SPECTRAL/ENGINEERING > RADAR > RADAR CROSS-SECTION > BISTATIC RADAR CROSS-SECTION
Processing Level1
CoverageRegion: Global
Northernmost Latitude: 40 degrees
Southernmost Latitude: 40 degrees
Westernmost Longitude: 0 degrees
Easternmost Longitude: 360 degrees
Time Span: 2017-Mar-18 to Present
Granule Time Span: 2017-Mar-18 to 2020-Jul-05
ResolutionSpatial Resolution: 25 km (Along) x 25 km (Across)
ProjectionType:
Detail:
Ellipsoid: WGS 84
Latency144 hours
Swath Width25000 m
Sample Frequency4
Temporal Repeat (Nominal)7.2 Hour
Temporal Repeat (Min)2.8 Hour
Temporal Repeat (Max)24 Hour
Platform/Sensor
CYGNSS
Platform
Name: Cyclone Global Navigation Satellite System (CYGNSS)
Orbit Period: 94 minutes
Inclination Angle: 35 degrees
Ascending Node: 1970-Jan-01 00:00:00
/
DDMI
SENSOR
Name: Delay Doppler Mapping Instrument (DDMI)
Swath Width: 25 km
Description: Delay Doppler Mapping Instrument (DDMI)

ProjectCyclone Global Navigation Satellite System (CYGNSS)
Data ProviderCreator: CYGNSS
Release Place: PO.DAAC
Release Date: 2018-Sep-21
Resource: http://clasp-research.engin.umich.edu/missions/cygnss/
Keyword(s)cygnss, ddm, ddmi, ddma, doppler, delay doppler, delay, specular point, waveform, les, leading edge slope, bistatic, bi-static, radar, brcs, sigma0, sigma-0, sigma naught, sigma-naught, nbrcs, wind, winds, wind speed, version 2.1, v2.1
Persistent IDPODAAC-CYGNS-L1X21
Questions related to this dataset? Contact podaac@podaac.jpl.nasa.gov
User's Guide
Level 1 Data Dictionaryhttps://podaac-tools.jpl.nasa.gov/drive/files/allData/cygnss/L1/docs/148-0346-6_L1_v2.1_netCDF_Data_Dictionary.xlsx
Project Materials
NASA CYGNSS Handbookhttp://clasp-research.engin.umich.edu/missions/cygnss/reference/cygnss-mission/CYGNSS_Handbook_April2016.pdf
Deriving Surface Winds from Tropical Cyclones
CYGNSS Mission Pagehttp://clasp-research.engin.umich.edu/missions/cygnss/
CYGNSS Mission Page at University of Michigan
CYGNSS Algorithm Theoretical Basis Document Level 1B DDM Calibrationhttp://clasp-research.engin.umich.edu/missions/cygnss/reference/148-0137_ATBD_L1B_DDMCalibration_Rev2_Aug2018_release.pdf
Level 1B DDM Calibration Algorithm Theoretical Basis Document, S. Gleason, CYGNSS Project Document 148-0137, Rev 2, 20 Aug. 2018.
CYGNSS Algorithm Theoretical Basis Document Level 1A DDM Calibrationhttp://clasp-research.engin.umich.edu/missions/cygnss/reference/148-0136_ATBD_L1A_DDMCalibration_Rev2_Aug2018_release.pdf
Level 1A DDM Calibration Algorithm Theoretical Basis Document, S. Gleason, CYGNSS Project Document 148-0136, Rev 2, 20 Aug. 2018.
Journal References
n-Orbit Performance of the Constellation of CYGNSS Hurricane Satellites.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.
Gleason et al. 2016 (TGRS)https://doi.org/10.1109/TGRS.2015.2502245
Gleason, S., C. Ruf, M. P. Clarizia, A. O'Brien, 'Calibration and Unwrapping of the Normalized Scattering Cross Section for the Cyclone Global Navigation Satellite System (CYGNSS)', IEEE Trans. Geosci. Remote Sens., doi:10.1109/TGRS.2015.2502245, 2016.
A CYGNSS-based algorithm for the detection of inland waterbodieshttps://doi.org/10.1029/2019GL085134
Ruf et al. 2015 (BAMS)https://journals.ametsoc.org/doi/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.
Known Issues
Spacecraft Attitude Tableshttps://podaac-tools.jpl.nasa.gov/drive/files/allData/cygnss/L1/docs/att_tables/
Updated Monthly
Citation CYGNSS. 2018. CYGNSS Level 1 Science Data Record Version 2.1. Ver. 2.1. PO.DAAC, CA, USA. Dataset accessed [YYYY-MM-DD] at https://doi.org/10.5067/CYGNS-L1X21.

Download Citation
RIS XML JSON-LD

For more information see Data Citations and Acknowledgments.
Journal Reference 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.