CYGNSS Level 1 Science Data Record Version 2.1
(CYGNSS_L1_V2.1)
42 Publications Cited this Dataset
Citation metrics available for years (2014-2021)
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Publications citing CYGNSS Level 1 Science Data Record Version 2.1
Citation metrics available for years (2014-2021)
| Year | Citation |
|---|---|
| 2018 | Lake Level and Surface Topography Measured With Spaceborne GNSS‐Reflectometry From CYGNSS Mission: Example for the Lake Qinghai, Geophysical Research Letters,https://doi.org/10.1029/2018GL080976 |
| 2019 | Evaluation of Spaceborne GNSS-R Retrieved Ocean Surface Wind Speed with Multiple Datasets, Remote Sensing,https://doi.org/10.3390/rs11232747 |
| 2019 | CYGNSS, 2018, CYGNSS Level 1 Science Data Record Version 2.1. Ver. 2.1. PO.DAAC, CA, USA. Dataset accessed [2019-04-01] at https://doi.org/10.5067/CYGNS-L1X21. Soil Moisture Retrieval in Southeast China from Spaceborne GNSS-R Measurements, 2019 Photonics & Electromagnetics Research Symposium - Fall (PIERS - Fall),https://doi.org/10.1109/PIERS-Fall48861.2019.9021558 |
| 2019 | A CYGNSS‐based algorithm for the detection of inland waterbodies, Geophysical Research Letters,https://doi.org/10.1029/2019GL085134 |
| 2019 | CYGNSS, 2018. CYGNSS Level 1 Science Data Record Version 2.1. Ver. 2.1. PO.DAAC, CA, USA. Dataset accessed at. https://doi.org/10.5067/CYGNS-L1X21. A novel approach to monitoring wetland dynamics using CYGNSS: Everglades case study, Remote Sensing of Environment,https://doi.org/10.1016/j.rse.2019.111417 |
| 2020 | Statistical derivation of wind speeds from CYGNSS data, IEEE Transactions on Geoscience and Remote Sensing,https://doi.org/10.1109/TGRS.2019.2959715 |
| 2020 | Evaluations of a Machine Learning-Based CYGNSS Soil Moisture Estimates against SMAP Observations, Remote Sensing,https://doi.org/10.3390/rs12213503 |
| 2020 | CYGNSS. CYGNSS Level 1 Science Data Record Version 2.1. 2018. Available online: https://podaac.jpl.nasa.gov/dataset/CYGNSS_L1_V2.1 First Evidences of Ionospheric Plasma Depletions Observations Using GNSS-R Data from CYGNSS, Remote Sensing,https://doi.org/10.3390/rs12223782 |
| 2020 | CYGNSS Level 1 Science Data Record Version 2.1. 2017. Available online: https://podaac.jpl.nasa.gov/dataset/CYGNSS_L1_V2.1 (accessed on 7 December 2019). Flood inundation mapping by combining GNSS-R signals with topographical information, Remote Sensing,https://doi.org/10.3390/rs12183026 |
| 2020 | Improving representation of tropical wetland methane emissions with CYGNSS inundation maps, N/A,https://doi.org/10.1002/essoar.10504845.1 |
| 2020 | Variational Retrievals of High Winds Using Uncalibrated CyGNSS Observables, Remote Sensing,https://doi.org/10.3390/rs12233930 |
| 2020 | PO.DAAC, C. . (2018), Cygnss level 1 science data record version 2.1. ver. 2.1., PO.DAAC, CA, USA. Investigating the Sensitivity of Spaceborne GNSS-R Measurements to Ocean Surface Winds and Rain, N/A,http://dx.doi.org/10.7302/63 |
| 2020 | CYGNSS Data Access. Accessed: Jun. 22, 2020. [Online]. Available: https://podaac.jpl.nasa.gov/dataset/CYGNSS_L1_V2.1 A machine learning method for inland water detection using CYGNSS data, IEEE GEOSCIENCE AND REMOTE SENSING LETTERS ,https://doi.org/10.1109/LGRS.2020.3020223 |
| 2020 | Machine learning-based CYGNSS soil moisture estimates over ISMN sites in CONUS, Remote Sensing,https://doi.org/10.3390/rs12071168 |
| 2020 | Jet Propulsion Laboratory. CYGNSS. [Online]. Available: https://podaac.jpl.nasa.gov/CYGNSS An Overview of NOAA CYGNSS Wind Product Version 1.0, IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium,https://doi.org/10.1109/IGARSS39084.2020.9323834 |
| 2020 | Azimuthal dependence of GNSS‐R scattering cross‐section in hurricanes, Journal of Geophysical Research: Oceans,https://doi.org/10.1029/2020JC016167 |
| 2020 | Comprehensive evaluation of using TechDemoSat-1 and CYGNSS data to estimate soil moisture over mainland China, Remote Sensing,https://doi.org/10.3390/rs12111699 |
| 2020 | Desert roughness retrieval using CYGNSS GNSS-R data, Remote Sensing,https://doi.org/10.3390/rs12040743 |
| 2020 | Developing and Testing Models for Sea Surface Wind Speed Estimation with GNSS-R Delay Doppler Maps and Delay Waveforms, Remote Sensing,https://doi.org/10.3390/rs12223760 |
| 2020 | Gleason, S. Algorithm Theoretical Basis Document Level 1A DDM Calibration. CYGNSS Level 1 Science Data Record Version 2.1; PO.DAAC; Cyclone Global Navigation Satellite System (CYGNSS): Pasadena, CA, USA, 2018; Available online: https://doi.org/10.5067/CYGNS-L1X21 (accessed on 1 September 2019). Soil Moisture Content from GNSS Reflectometry Using Dielectric Permittivity from Fresnel Reflection Coefficients, Remote Sensing,https://doi.org/10.3390/rs12010122 |
| 2021 | Wind Direction Retrieval Using Support Vector Machine from CYGNSS Sea Surface Data, Journal,10.3390/rs13214451 |
| 2021 | CYGNSS. 2018. CYGNSS Level 1 Science Data Record Version 2.1. Ver. 2.1. PO.DAAC, CA, USA. Available online: https: //doi.org/10.5067/CYGNS-L1X21 (accessed on 9 December 2019). Opportunity for GNSS Reflectometry in Sensing the Regional Climate and Soil Moisture Instabilities in Myanmar, Journal,10.3390/cli9120175 |
| 2021 | CYGNSS. 2018. CYGNSS Level 1 Science Data Record Version 2.1. Ver. 2.1. PO.DAAC, CA, USA..” https://doi.org/10.5067/CYGNS-L1X21. Dataset ac- cessed [2020-07-02]. Permanent water and flash flood detection using global navigation satellite system reflectometry, Dissertation,10.48336/3WGT-R459 |
| 2021 | CYGNSS. (2020). CYGNSS Level 1 Raw Intermediate Frequency Data Record Version 1.0. [Online]. Available: https://podaac.jpl. nasa.gov/dataset/CYGNSS_L1_V2.1 Phase Coherence of GPS Signal Land Reflections and its Dependence on Surface Characteristics, Journal,10.1109/LGRS.2021.3094407 |
| 2021 | Estimation of the thermospheric density using ephemerides of the CYGNSS and Swarm constellations, Journal,10.1016/j.jastp.2021.105687 |
| 2021 | Retrieval of Sea Surface Height from CYGNSS Data with Tropospheric Delay., Journal,10.46267/j.1006-8775.2021.025 |
| 2021 | First spaceborne demonstration of BeiDou-3 signals for GNSS reflectometry from CYGNSS constellation, Journal,10.1016/j.cja.2020.11.016 |
| 2021 | Sahara Subsurface Characterization Using Cygnss Gnss-R Data, Conference Paper,10.1109/IGARSS47720.2021.9554895 |
| 2021 | CYGNSS. CYGNSS Level 1 Science Data Record Version 2.1, 2017. URL https://podaac.jpl.nasa. gov/dataset/CYGNSS_L1_V2.1. Global ocean wind speed estimation with CyGNSSnet, Conference Paper,N/A |
| 2021 | CYGNSS. 2018. CYGNSS Level 1 Science Data Record Version 2.1. Ver. 2.1. PO.DAAC, CA, USA. Dataset accessed [2020-08-20] at https://doi.org/10.5067/CYGNS-L1X21. GNSS-R Delay/Doppler Map Compression Method Using a Denoising Convolutional Autoencoder, Conference Paper,10.1109/GNSSR53802.2021.9617706 |
| 2021 | GNSS-R Wind Speed Retrieval of Sea Surface Based on Particle Swarm Optimization Algorithm, Journal,10.1109/TGRS.2021.3082916 |
| 2021 | CL1 (2020, visited) https://podaac-tools.jpl.nasa.gov/drive/files/allData/cygnss/L1/v2.1 Sea Surface Wind Speed Estimation, Book chapter,10.1007/978-981-16-0411-9_6 |
| 2021 | High Wind Speed Inversion Model of CYGNSS Sea Surface Data Based on Machine Learning, Journal,10.3390/rs13163324 |
| 2021 | Signal-to-Noise Ratio Analyses of Spaceborne GNSS-Reflectometry from Galileo and BeiDou Satellites, Journal,10.3390/rs14010035 |
| 2021 | Stand-Alone Retrievals of Soil Moisture and Vegetation Opacity Using the CyGNSS Data, Journal,10.1109/IGARSS47720.2021.9553530 |
| 2021 | An Improved Method for Pan-Tropical Above-Ground Biomass and Canopy Height Retrieval Using CYGNSS, Journal,10.3390/rs13132491 |
| 2021 | Improving representation of tropical wetland methane emissions with CYGNSS inundation maps, Journal,10.1029/2020GB006890 |
| 2021 | Analysis of coastal wind speed retrieval from CYGNSS mission using artificial neural network, Journal,10.1016/j.rse.2021.112454 |
| 2021 | CYGNSS Dataset v2.1 PODAAC. Available online: https://podaac.jpl.nasa.gov/dataset/CYGNSS_L1_V2.1 (accessed on 9 August 2020) The Bistatic Radar as an Effective Tool for Detecting and Monitoring the Presence of Phytoplankton on the Ocean Surface, Journal,10.3390/rs13122248 |
| 2021 | CYGNSS (2017). CYGNSS Level 1 science data Record Version 2.1. NASA Physical Oceanography DAAC. Retrieved from https://podaac.jpl. nasa.gov/dataset/CYGNSS_L1_V2.1 Towards wind vector and wave height retrievals over inland waters using CYGNSS, Journal,10.1029/2020EA001506 |
| 2021 | PO.DAAC. Available online: https://podaac.jpl.nasa.gov/ (accessed on 14 May 2018) Computation Approach for Quantitative Dielectric Constant from Time Sequential Data Observed by CYGNSS Satellites, Journal,10.3390/rs13112032 |
| 2021 | Desert Roughness Retrieval Using CYGNSS GNSS-R Data, Conference Paper,10.1109/IGARSS47720.2021.9554135 |
| Version | 2.1 |
| Processing Level | 1 |
| Start/Stop Date | 2017-Mar-18 to Present |
| Short Name | CYGNSS_L1_V2.1 |
| 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. |
| DOI | 10.5067/CYGNS-L1X21 |
| Measurement | SPECTRAL/ENGINEERING > RADAR > RADAR CROSS-SECTION SPECTRAL/ENGINEERING > RADAR > RADAR REFLECTIVITY SPECTRAL/ENGINEERING > RADAR > SIGMA NAUGHT SPECTRAL/ENGINEERING > PLATFORM CHARACTERISTICS > FLIGHT DATA LOGS |
| Swath Width | 25 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. |
| Project | Cyclone Global Navigation Satellite System (CYGNSS) |
| Data Provider | Publisher: PO.DAAC Creator: CYGNSS Release Place: PO.DAAC Release Date: 2018-Sep-21 Resource: https://cygnss.engin.umich.edu/ |
| Format | netCDF-4 |
| 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 |
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: 2017-Mar-18 to Present Granule Time Span: 2017-Mar-18 to 2023-Mar-28Swath Width: 25 km Projection Projection Type: Satellite native along-track Projection Detail: Geolocation information included for each pixel Ellipsoid: WGS 84 |
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| us-west-2 | |
| podaac-ops-cumulus-protected/CYGNSS_L1_V2.1/ | |
| podaac-ops-cumulus-public/CYGNSS_L1_V2.1/ | |
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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. 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
For more information see Data Citations and Acknowledgments.
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| Journal Reference | Ruf, C., Asharaf, S., Balasubramaniam, R., Gleason, S., Lang, T., McKague, D. Twigg, D., Waliser, D.. 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 |
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| Version | Dataset | Version Date | Status | |
|---|---|---|---|---|
| 2.1 | CYGNSS Level 1 Science Data Record Version 2.1 | 2018-05-14 | ACTIVE | 2018-05-14T22:41:39.835Z |
| 3.0 | CYGNSS Level 1 Science Data Record Version 3.0 | 2020-09-22 | ACTIVE | 2020-09-22T17:25:37.880Z |
| 2.0 | CYGNSS Level 1 Science Data Record Version 2.0 | 2017-10-27 | RETIRED | 1509074435972 |
| 1.1 | CYGNSS Level 1 Science Data Record Version 1.1 | 2017-06-09 | RETIRED | 1496966737388 |
| 1.0 | CYGNSS Level 1 Science Data Record Version 1.0 | 2016-03-17 | RETIRED | 1458253007782 |