CYGNSS Level 3 MRG Science Data Record Near Real Time Version 3.2

(CYGNSS_L3_MRG_NRT_V3.2)
Version3.2
Processing Level3
Start/Stop Date2023-Jul-21 to Present
Short NameCYGNSS_L3_MRG_NRT_V3.2
DescriptionThis dataset contains the version 3.2 CYGNSS Level 3 Merged (MRG) Science Data Record Near Real Time (NRT) Storm Wind Speed derived from the Delay Doppler Mapping Instrument aboard the CYGNSS satellite constellation. It combines CYGNSS storm-centric gridded (SCG) wind speeds, which are derived from the L2 Young Seas Limited Fetch (YSLF) winds for a region surrounding a given tropical cyclone (TC), with L2 Fully Developed Seas (FDS) winds away from the TC center on a 0.2x0.2 degree latitude by longitude equirectangular grid.

L3 MRG is a product which combines the L2 FDS and YSLF winds and eliminates the need to choose between them depending on sea state development and the proximity to storms. The data are provided in netCDF-4 format and starts from the June 11, 2024 through the present with an approximate latency between 2 and 24 hours . A tapered weighted averaging scheme is used centered on the 34-knot wind radius (R34) of the storm. The R34 value in each storm quadrant is also reported. The algorithm produces global (+/- 40 deg latitude) wind speeds reported on a 0.1x0.1 deg grid every 6 hours for each tropical cyclone, although some 6-hourly increments may be missing if there are an insufficient number of satellite overpasses of the storm during that time interval. The netCDF files are output on a storm-by-storm basis.

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-L3N32
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-Aug-08
Resource: https://cygnss.engin.umich.edu/

FormatnetCDF-4
Keyword(s)cygnss, ddm, ddmi, doppler, delay doppler, delay, specular point, wind, winds, wind speed, MRG, NRT, near real time, version 3.2, v3.2
Questions related to this dataset? Contact podaac@podaac.jpl.nasa.gov
Resolution
Spatial Resolution: 0.2 Decimal Degrees x 0.2 Decimal Degrees
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: 2023-Jul-21 to Present
 
Projection
Ellipsoid: WGS 84
 
NameLong NameUnit
best_track_r34_neRadial extent of 34 knot winds in north east from Best Trackkm
best_track_r34_nwRadial extent of 34 knot winds in north west from Best Trackkm
best_track_r34_seRadial extent of 34 knot winds in south east from Best Trackkm
best_track_r34_swRadial extent of 34 knot winds in south west from Best Trackkm
best_track_storm_center_latStorm center latitudedegrees_north
best_track_storm_center_lonStorm center longitudedegrees_east
best_track_storm_statusStorm status1
best_track_vmaxMaximum sustained wind speedm s-1
cygnss_r34_neRadial extent of 34 knot winds in north east from CYGNSSkm
cygnss_r34_nwRadial extent of 34 knot winds in north west from CYGNSSkm
cygnss_r34_seRadial extent of 34 knot winds in south east from CYGNSSkm
cygnss_r34_swRadial extent of 34 knot winds in south west from CYGNSSkm
cygnss_vmax_latStorm V max latitudedegrees_north
cygnss_vmax_lonStorm V max longitudedegrees_east
epoch_timeTime Centering of Data Based on Epoch Referencehours since 2018-08-01 00:00:00.000000000
latLatitudedegrees_north
lonLongitudedegrees_east
merge_methodMerge method1
quality_flagsPer-time step quality flags
range_corr_gainRange Corrected Gain1e-27 dBi meter-4
timeReference time of filehours since 2023-07-21 06:00:00.000000000
time_offsetTime offset of each sample from center timehours
wind_speedWind speedm s-1
wind_speed_uncertaintyWind speed uncertaintym s-1
DATA RECIPE
GENERAL DOCUMENTATION
DATA CITATION POLICY
ALGORITHM THEORETICAL BASIS DOCUMENT (ATBD)
DATA PRODUCT SPECIFICATION
USER'S GUIDE
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.
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 3 MRG Science Data Record Near Real Time Version 3.2. Ver. 3.2. PO.DAAC, CA, USA. Dataset accessed [YYYY-MM-DD] at https://doi.org/10.5067/CYGNS-L3N32

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For more information see Data Citations and Acknowledgments.

Journal Reference 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., 100. https://doi.org//10.1175/BAMS-D-18-0337.1

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

Mayers, D. R., C. S. Ruf, A. M. Warnock. 2024. CYGNSS Storm-Centric Tropical Cyclone Gridded Wind Speed Product, J. Appl. Meteor. Climatol.. https://doi.org//10.1175/JAMC-D-22-0054.1

Ruf, C., D. McKague, D. Posselt, S. Gleason, M.P. Clarizia, V. Zavorotny, T. Butler, J. Redfern, W. Wells, M. Morris, J. Crespo, C. Chew, E. Small, D. Pasqual, T. Wang, A. Warnock, D. Mayers, M. Al-Khaldi, A. O’Brien. 2022. CYGNSS Handbook (2nd ed.), Michigan Publishing Services, Ann Arbor, MI, ISBN 978-1-60785-549-1. https://doi.org/10.3998/mpub.12741920

VersionDatasetVersion DateStatus
3.2.1CYGNSS Level 3 MRG Science Data Record Near Real Time Version 3.2.12024-07-21ACTIVE2024-07-21T02:31:00.000Z
3.2CYGNSS Level 3 MRG Science Data Record Near Real Time Version 3.22024-06-01ACTIVE2024-06-01T01:42:00.000Z