CYGNSS Level 1 Science Data Record Version 2.1

(CYGNSS_L1_V2.1)

Citation metrics available for years (2014-2022)

Publications citing CYGNSS Level 1 Science Data Record Version 2.1

Citation metrics available for years (2014-2022)

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	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
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
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	Variational Retrievals of High Winds Using Uncalibrated CyGNSS Observables, Remote Sensing ,https://doi.org/10.3390/rs12233930
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	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
2020	Machine learning-based CYGNSS soil moisture estimates over ISMN sites in CONUS, Remote Sensing ,https://doi.org/10.3390/rs12071168
2020	Improving representation of tropical wetland methane emissions with CYGNSS inundation maps, N/A ,https://doi.org/10.1002/essoar.10504845.1
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	Evaluations of a Machine Learning-Based CYGNSS Soil Moisture Estimates against SMAP Observations, Remote Sensing ,https://doi.org/10.3390/rs12213503
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	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	Desert roughness retrieval using CYGNSS GNSS-R data, Remote Sensing ,https://doi.org/10.3390/rs12040743
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	Azimuthal dependence of GNSS‐R scattering cross‐section in hurricanes, Journal of Geophysical Research: Oceans ,https://doi.org/10.1029/2020JC016167
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	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
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	Retrieval of Sea Surface Height from CYGNSS Data with Tropospheric Delay., Journal ,10.46267/j.1006-8775.2021.025
2021	Sahara Subsurface Characterization Using Cygnss Gnss-R Data, Conference Paper ,10.1109/IGARSS47720.2021.9554895
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	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	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	Wind Direction Retrieval Using Support Vector Machine from CYGNSS Sea Surface Data, Journal ,10.3390/rs13214451
2021	High Wind Speed Inversion Model of CYGNSS Sea Surface Data Based on Machine Learning, Journal ,10.3390/rs13163324
2021	Improving representation of tropical wetland methane emissions with CYGNSS inundation maps, Journal ,10.1029/2020GB006890
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	An Improved Method for Pan-Tropical Above-Ground Biomass and Canopy Height Retrieval Using CYGNSS, Journal ,10.3390/rs13132491
2021	Analysis of coastal wind speed retrieval from CYGNSS mission using artificial neural network, Journal ,10.1016/j.rse.2021.112454
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
2021	Estimation of the thermospheric density using ephemerides of the CYGNSS and Swarm constellations, Journal ,10.1016/j.jastp.2021.105687
2021	First spaceborne demonstration of BeiDou-3 signals for GNSS reflectometry from CYGNSS constellation, Journal ,10.1016/j.cja.2020.11.016
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
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
2022	Wind Direction Retrieval From CYGNSS L1 Level Sea Surface Data Based on Machine Learning, IEEE Transactions on Geoscience and Remote Sensing ,10.1109/TGRS.2022.3221373
2022	Towards a flood assessment product for the humanitarian and disaster management sectors based on GNSS bistatic radar measurements, Climate ,10.3390/cli10050077
2022	Quasi-global machine learning-based soil moisture estimates at high spatio-temporal scales using CYGNSS and SMAP observations, Remote Sensing of Environment ,10.1016/j.rse.2022.113041
2022	Leveraging the CYGNSS Spaceborne GNSS‐R Observations to Detect Ionospheric Irregularities Over the Oceans: Method and Verification, Space Weather ,10.1029/2022SW003141
2022	Impacts of Assimilating CYGNSS Satellite Ocean-Surface Wind on Prediction of Landfalling Hurricanes with the HWRF Model, Remote Sensing ,10.3390/ rs14092118
2022	Effect of surface temperature on soil moisture retrieval using CYGNSS, International Journal of Applied Earth Observations and Geoinformation ,10.1016/j.jag.2022.102929
2022	Downscaling SMAP Brightness Temperatures to 3 km Using CYGNSS Reflectivity Observations: Factors That Affect Spatial Heterogeneity, Remote Sensing ,10.3390/rs14205262
2022	Detecting fire disturbances in forests by using GNSS reflectometry and machine learning: A case study in Angola, Remote Sensing of Environment ,10.1016/j.rse.2021.112878
2022	Deep Learning-Based Soil Moisture Retrieval in CONUS Using CYGNSS Delay–Doppler Maps, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ,10.1109/JSTARS.2022.3196658
2022	Calibration and Validation of CYGNSS Reflectivity through Wetlands' and Deserts' Dielectric Permittivity, Remote Sensing ,10.3390/rs14143262
2022	A Preliminary Study on Ionospheric Scintillation Anomalies Detected Using GNSS-R Data from NASA CYGNSS Mission as Possible Earthquake Precursors, Remote Sensing ,10.3390/rs14112555
2022	A physics-based algorithm to couple CYGNSS surface reflectivity and SMAP brightness temperature estimates for accurate soil moisture retrieval, IEEE Transactions on Geoscience and Remote Sensing ,10.1109/TGRS.2022.3156959
2022	A deep learning-based soil moisture estimation in conus region using cygnss delay doppler maps, IEEE International Geoscience and Remote Sensing Symposium ,10.1109/IGARSS46834.2022.9883916
2022	Comparison of the Effective Isotropic Radiated Power Parameter in CYGNSS v2. 1 and v3. 0 Level 1 Data and Its Impact on Soil Moisture Estimation, Geodesy for a Sustainable Earth ,10.1007/1345_2022_176
2022	Information fusion for GNSS-R wind speed retrieval using statistically modified convolutional neural network, Remote Sensing of Environment ,10.1016/j.rse.2022.112934
2022	GNSS reflectometry global ocean wind speed using deep learning: Development and assessment of CyGNSSnet, Remote Sensing of Environment ,10.1016/j.rse.2021.112801

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Version History

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 Region: TROPICS 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 2025-Jun-20 Swath Width: 25 km Projection Projection Type: Satellite native along-track Projection Detail: Geolocation information included for each pixel Ellipsoid: WGS 84

DIRECT ACCESS
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https://cmr.earthdata.nasa.gov/virtual-directory/collections/C2251464384-POCLOUD
OPENDAP DATA
https://podaac.jpl.nasa.gov/OPeNDAP-in-the-Cloud
Search Granules
https://search.earthdata.nasa.gov/search/granules?p=C2251464384-POCLOUD
DIRECT S3-ACCESS
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Region
us-west-2
Bucket/Object Prefix: Protected buckets contain the data files for a given collection. Protected simply means users must log in to Earthdata Login before gaining access to contents within that S3 Bucket. Please use the S3Credential endpoint to gain an Earthdata login token for use in S3 Access. Public buckets, in contrast, house metadata such as checksums, imagery, and metadata files and the like. A user can access public buckets and these types of files without logging in to Earthdata Login. Most of the time, you'll want to access the protected bucket Information
podaac-ops-cumulus-protected/CYGNSS_L1_V2.1/
podaac-ops-cumulus-public/CYGNSS_L1_V2.1/
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Name	Long Name	Unit
add_range_to_sp	Additional range to specular point at DDM sample time	1
add_range_to_sp_pvt	Additional range to specular point at PVT time	1
att_timestamp_gps_sec	Attitude timestamp - GPS Seconds	second
att_timestamp_gps_week	Attitude timestamp - GPS Week	week
att_timestamp_utc	Attitude timestamp - UTC	seconds since 2020-01-02 00:00:00.499261690
bb_nearest	Time to most recent black body reading	second
bit_null_offset_port	Port bit count null offset	1
bit_null_offset_starboard	Starboard bit count null offset	1
bit_ratio_hi_lo_port	Port high/low bit counter ratio	1
bit_ratio_hi_lo_starboard	Starboard high/low bit counter ratio	1
brcs	DDM bin bistatic radar cross section	meter2
brcs_ddm_peak_bin_delay_row	BRCS DDM peak bin delay row	1
brcs_ddm_peak_bin_dopp_col	BRCS DDM peak bin Doppler column	1
brcs_ddm_sp_bin_delay_row	BRCS DDM specular point bin delay row	1
brcs_ddm_sp_bin_dopp_col	BRCS DDM specular point bin Doppler column	1
ddm	DDM reflectometry channel	1
ddm_ant	DDM Antenna
ddm_brcs_uncert	DDM BRCS uncertainty	1
ddm_end_time_offset	DDM end time offset	1e-9 s
ddm_les	Leading edge slope	1
ddm_nbrcs	Normalized BRCS	1
ddm_noise_floor	DDM noise floor	1
ddm_snr	DDM signal to noise ratio	dB
ddm_source	Level 0 data source
ddm_time_type_selector	DDM sample time type selector
ddm_timestamp_gps_sec	DDM sample timestamp - GPS Seconds	second
ddm_timestamp_gps_week	DDM sample timestamp - GPS Week	week
ddm_timestamp_utc	DDM sample timestamp - UTC	seconds since 2020-01-02 00:00:00.499261690
delay_resolution	DDM delay bin resolution	1
direct_signal_snr	Zenith (direct) signal to noise ratio	dB
dopp_resolution	DDM Doppler bin resolution	s-1
eff_scatter	DDM bin effective scattering area	meter2
fresnel_coeff	Fresnel power reflection coefficient at specular point	1
fsw_comp_delay_shift	Flight software DDM compression delay shift	1
fsw_comp_dopp_shift	Flight software DDM compression Doppler shift	s-1
gps_ant_gain_db_i	GPS SV transmit antenna gain	dBi
gps_eirp	GPS effective isotropic radiated power	watt
gps_off_boresight_angle_deg	GPS off boresight angle	degree
gps_tx_power_db_w	GPS SV transmit power	dBW
inst_gain	Instrument gain	1
les_scatter_area	LES scattering area	meter2
lna_noise_figure	LNA noise figure	dB
lna_temp_nadir_port	Port Antenna LNA temperature	degree_Celsius
lna_temp_nadir_starboard	Starboard antenna LNA temperature	degree_Celsius
lna_temp_zenith	Zenith Antenna LNA temperature	degree_Celsius
nbrcs_scatter_area	NBRCS scattering area	meter2
nst_att_status	NST attitude status
power_analog	DDM bin analog power	watt
power_digital	DDM bin digital power	watt
prn_code	GPS PRN code	1
prn_fig_of_merit	PRN selection figure of Merit	1
pvt_timestamp_gps_sec	PVT timestamp - GPS Seconds	second
pvt_timestamp_gps_week	PVT timestamp - GPS Week	week
pvt_timestamp_utc	PVT timestamp - UTC	seconds since 2020-01-02 00:00:00.499261690
quality_flags	Per-DDM quality flags
radiometric_antenna_temp	Antenna Temperature (TA) at specular point	K
raw_counts	DDM bin raw counts	1
rx_clk_bias	GPS receiver clock bias	meter
rx_clk_bias_pvt	GPS receiver clock bias at PVT time	meter
rx_clk_bias_rate	GPS receiver clock bias rate	meter s-1
rx_clk_bias_rate_pvt	GPS receiver clock bias rate at PVT time	meter s-1
rx_to_sp_range	Rx to specular point range	meter
sample	Sample index	1
sc_alt	Spacecraft altitude	meter
sc_lat	Sub-satellite point latitude	degrees_north
sc_lon	Sub-satellite point longitude	degrees_east
sc_pitch	Spacecraft attitude pitch angle at DDM sample time	radian
sc_pitch_att	Spacecraft attitude pitch angle at attitude time	radian
sc_pos_x	Spacecraft position X at DDM sample time	meter
sc_pos_x_pvt	Spacecraft position X at PVT time	meter
sc_pos_y	Spacecraft position Y at DDM sample time	meter
sc_pos_y_pvt	Spacecraft position Y at PVT time	meter
sc_pos_z	Spacecraft position Z at DDM sample time	meter
sc_pos_z_pvt	Spacecraft position Z at PVT time	meter
sc_roll	Spacecraft attitude roll angle at DDM sample time	radian
sc_roll_att	Spacecraft attitude roll angle at attitude time	radian
sc_vel_x	Spacecraft velocity X at DDM sample time	meter s-1
sc_vel_x_pvt	Spacecraft velocity X at PVT time	meter s-1
sc_vel_y	Spacecraft velocity Y at DDM sample time	meter s-1
sc_vel_y_pvt	Spacecraft velocity Y at PVT time	meter s-1
sc_vel_z	Spacecraft velocity Z at DDM sample time	meter s-1
sc_vel_z_pvt	Spacecraft velocity Z at PVT time	meter s-1
sc_yaw	Spacecraft attitude yaw angle at DDM sample time	radian
sc_yaw_att	Spacecraft attitude yaw angle at attitude time	radian
sp_alt	Specular point altitude	meter
sp_az_body	Specular point body frame azimuth angle	degree
sp_az_orbit	Specular point orbit frame azimuth angle	degree
sp_ddmi_delay_correction	Correction to DDMI specular point delay	1
sp_ddmi_dopp	DDMI Doppler at specular point	s-1
sp_ddmi_dopp_correction	Correction to DDMI specular point Doppler	s-1
sp_delay_error	Flight software specular point delay error	1
sp_dopp_error	Flight software specular point Doppler error	s-1
sp_fsw_delay	Flight software specular point delay	1
sp_inc_angle	Specular point incidence angle	degree
sp_lat	Specular point latitude	degrees_north
sp_lon	Specular point longitude	degrees_east
sp_pos_x	Specular point position X	meter
sp_pos_y	Specular point position Y	meter
sp_pos_z	Specular point position Z	meter
sp_rx_gain	Specular point Rx antenna gain	dBi
sp_theta_body	Specular point body frame theta angle	degree
sp_theta_orbit	Specular point orbit frame theta angle	degree
sp_vel_x	Specular point velocity X	meter s-1
sp_vel_y	Specular point velocity Y	meter s-1
sp_vel_z	Specular point velocity Z	meter s-1
spacecraft_id	CCSDS spacecraft identifier	1
spacecraft_num	CYGNSS spacecraft number	1
status_flags_one_hz	1 Hz Status Flags
sv_num	GPS Space Vehicle Number	1
track_id	DDM Track ID	1
tx_clk_bias	GPS transmitter clock bias	meter
tx_pos_x	GPS Tx position X	meter
tx_pos_y	GPS Tx position Y	meter
tx_pos_z	GPS Tx position Z	meter
tx_to_sp_range	Tx to specular point range	meter
tx_vel_x	GPS Tx velocity X	meter s-1
tx_vel_y	GPS Tx velocity Y	meter s-1
tx_vel_z	GPS Tx velocity Z	meter s-1
zenith_ant_bore_dir_x	Zenith antenna boresight ECI direction, X	1
zenith_ant_bore_dir_y	Zenith antenna boresight ECI direction, Y	1
zenith_ant_bore_dir_z	Zenith antenna boresight ECI direction, Z	1
zenith_code_phase	Zenith signal code phase	1
zenith_sun_angle_az	Zenith antenna boresight Sun angle, azimuth	degree
zenith_sun_angle_decl	Zenith antenna boresight Sun angle, declination	degree

DATA CITATION GUIDELINES
https://podaac.jpl.nasa.gov/CitingPODAAC Data Use and Citation Guidelines
ALGORITHM THEORETICAL BASIS DOCUMENT (ATBD)
https://archive.podaac.earthdata.nasa.gov/podaac-ops-cumulus-docs/cygnss/open/L1/docs/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.
https://archive.podaac.earthdata.nasa.gov/podaac-ops-cumulus-docs/cygnss/open/L1/docs/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.
PUBLICATIONS
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.
https://doi.org/10.1029/2019GL085134 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
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.
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.
GENERAL DOCUMENTATION
https://cygnss.engin.umich.edu/ CYGNSS Mission Page at University of Michigan
https://archive.podaac.earthdata.nasa.gov/podaac-ops-cumulus-docs/cygnss/open/L1/docs/att_tables/Attitude_Table_FM_1.txt Updated Monthly
https://archive.podaac.earthdata.nasa.gov/podaac-ops-cumulus-docs/cygnss/open/L1/docs/att_tables/Attitude_Table_FM_2.txt Updated Monthly
https://archive.podaac.earthdata.nasa.gov/podaac-ops-cumulus-docs/cygnss/open/L1/docs/att_tables/Attitude_Table_FM_3.txt Updated Monthly
https://archive.podaac.earthdata.nasa.gov/podaac-ops-cumulus-docs/cygnss/open/L1/docs/att_tables/Attitude_Table_FM_4.txt Updated Monthly
https://archive.podaac.earthdata.nasa.gov/podaac-ops-cumulus-docs/cygnss/open/L1/docs/att_tables/Attitude_Table_FM_5.txt Updated Monthly
https://archive.podaac.earthdata.nasa.gov/podaac-ops-cumulus-docs/cygnss/open/L1/docs/att_tables/Attitude_Table_FM_6.txt Updated Monthly
https://archive.podaac.earthdata.nasa.gov/podaac-ops-cumulus-docs/cygnss/open/L1/docs/att_tables/Attitude_Table_FM_7.txt Updated Monthly
https://archive.podaac.earthdata.nasa.gov/podaac-ops-cumulus-docs/cygnss/open/L1/docs/att_tables/Attitude_Table_FM_8.txt Updated Monthly
USER'S GUIDE
https://cygnss.engin.umich.edu/wp-content/uploads/sites/534/2021/06/CYGNSS_Handbook_April2016.pdf Deriving Surface Winds from Tropical Cyclones
https://archive.podaac.earthdata.nasa.gov/podaac-ops-cumulus-docs/cygnss/open/L1/docs/148-0346-6_L1_v2.1_netCDF_Data_Dictionary.xlsx Level 1 netCDF Data Dictionary
https://doi.org/10.3998/mpub.12741920 CYGNSS Handbook
ANOMALIES
https://podaac.jpl.nasa.gov/forum/viewtopic.php?f=16&t=1261 Forum Post Capturing Changes to CYGNSS Sampling Rate
https://docs.google.com/spreadsheets/d/1AFAZanVGDApLSnJQAAdPfOKoJQs0jnB8ZvIuD1Z5mAc/edit#gid=0 Google Sheet Log of Anomalous CYGNSS Sampling Events
DATA RECIPE
https://github.com/podaac/data-readers Generic Data Readers

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

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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

Version	Dataset	Version Date	Status
3.2	CYGNSS Level 1 Science Data Record Version 3.2	2024-01-08	ACTIVE	2024-01-08T17:24:00.000Z
3.1	CYGNSS Level 1 Science Data Record Version 3.1	2021-10-19	ACTIVE	2021-10-19T03:19:00.000Z
3.0	CYGNSS Level 1 Science Data Record Version 3.0	2022-02-28	ACTIVE	2022-02-28T20:17:00.000Z
3.0	CYGNSS Level 1 Science Data Record Version 3.0 - Quarantined	Present	COMPLETE
2.1	CYGNSS Level 1 Science Data Record Version 2.1	2022-05-09	ACTIVE	2022-05-09T18:49:00.000Z
2.0	CYGNSS Level 1 Science Data Record Version 2.0	Present	RETIRED.
1.1	CYGNSS Level 1 Science Data Record Version 1.1	Present	RETIRED.
1.0	CYGNSS Level 1 Science Data Record Version 1.0	Present	RETIRED.

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Short Name:

CYGNSS_L1_V2.1

Collection Concept ID:

C2251464384-POCLOUD

Spatial Coverage:

N: 40°

S: -40°

E: 180°

W: -180°

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