CYGNSS Level 1 Science Data Record Version 2.1

Description

This 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 meters squared 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.

Resources

Name Format Description Link
View this dataset's algorithm theoretical basis document PDF Level 1A DDM Calibration Algorithm Theoretical Basis Document, S. Gleason, CYGNSS Project Document 148-0136, Rev 2, 20 Aug. 2018. Open resource
View this dataset's algorithm theoretical basis document PDF Level 1B DDM Calibration Algorithm Theoretical Basis Document, S. Gleason, CYGNSS Project Document 148-0137, Rev 2, 20 Aug. 2018. Open resource
View this dataset's user's guide HTML Level 1 netCDF Data Dictionary Open resource
View documentation related to this dataset HTML Updated Monthly Open resource
View documentation related to this dataset HTML Updated Monthly Open resource
View documentation related to this dataset HTML Updated Monthly Open resource
View documentation related to this dataset HTML Updated Monthly Open resource
View documentation related to this dataset HTML Updated Monthly Open resource
View documentation related to this dataset HTML Updated Monthly Open resource
View documentation related to this dataset HTML Updated Monthly Open resource
View documentation related to this dataset HTML Updated Monthly Open resource
Download this dataset through a directory map HTML HTTPS endpoint for data browse and download Open resource
View documentation related to this dataset HTML CYGNSS Mission Page at University of Michigan Open resource
View this dataset's user's guide PDF Deriving Surface Winds from Tropical Cyclones Open resource
View this dataset's documented anomalies HTML Google Sheet Log of Anomalous CYGNSS Sampling Events Open resource
View this dataset's publications HTML Gerlein-Safdi, C., & Ruf, C. S. (2019). A CYGNSS-based algorithm for the detection of inland waterbodies. Geophysical Research Letters, 46, 12065– 12072. https://doi.org/10.1029/2019GL085134 Open resource
View this dataset's publications HTML 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. Open resource
View this dataset's publications HTML 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. Open resource
View this dataset's user's guide HTML CYGNSS Handbook Open resource
View this dataset's data recipes HTML Generic Data Readers Open resource
View this dataset's publications HTML 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. Open resource
View this dataset's data citation policy HTML Data Use and Citation Policy Open resource
View this dataset's documented anomalies HTML Forum Post Capturing Changes to CYGNSS Sampling Rate Open resource
Use OPeNDAP to access the dataset's data HTML OPeNDAP Access for Data in the Cloud Open resource
Get a related visualization JPG Thumbnail Open resource
Google Scholar search results HTML Search results for publications that cite this dataset by its DOI. Open resource
Download this dataset through Earthdata Search HTML Browse granule search results in Earthdata Search Open resource

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