CYGNSS Level 1 Calibrated Raw IF Version 1.0

(CYGNSS_L1_CAL_RAW_IF_V1.0)
Version1.0
Processing Level1
Start/Stop Date2018-Aug-01 to Present
Short NameCYGNSS_L1_CAL_RAW_IF_V1.0
DescriptionThe CYGNSS Level 1 Calibrated Raw IF Version 1.0 dataset is produced by the CYGNSS Science Team of the University of Michigan, and it contains the first release, Version 1.0, of the CYGNSS Calibrated Raw Intermediate Frequency (IF) based L1 Product. CYGNSS was launched on 15 December 2016, it is a NASA Earth System Science Pathfinder Mission that was launched with the purpose of collecting the first frequent space‐based measurements of surface wind speeds in the inner core of tropical cyclones. Originally made up of a constellation of eight micro-satellites, the observatories provide nearly gap-free Earth coverage using an orbital inclination of approximately 35°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 product includes several established signal coherence detectors, including the power-ratio Pratio, complex zero-Doppler delay waveform and full entropy Efull, and a novel fast entropy detector Efast. Both entropy detectors are provided with two temporal resolutions: 2 ms and 50 ms. Several scattered signal strength products are included: Signal-to-Noise Ratio SNR, reflected power Pg, reflectivity Γ, and Normalized Bistatic Radar Cross-Section NBRCS. Each of these products is derived using a coherent integration time of Tc = 1 ms and incoherent integration times of Ninc = 1000, 500, 250, 100, 50, and 2 ms. Signal strength time series at the shorter (2 and 50 ms) times provides excellent detection of land-water transitions in heterogeneous scenes. Delay Doppler Maps (DDMs) are also generated with high delay (∆τ = 1/16 chip) and Doppler (∆f= 50 Hz) resolution. This suite of coherence detection methods can be used to detect the presence of small inland water bodies.
DOI10.5067/CYGNS-L1R10
MeasurementSPECTRAL/ENGINEERING > RADAR > SENSOR COUNTS
Swath Width25 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.

ProjectCyclone Global Navigation Satellite System (CYGNSS)
Data ProviderPublisher: PO.DAAC
Creator: CYGNSS
Release Place: PO.DAAC
Release Date: 2024-Jun-28
Resource: https://cygnss.engin.umich.edu/

FormatnetCDF
Keyword(s)cygnss, raw, raw if, if, raw intermediate frequency, doppler, delay doppler, delay, specular point, bistatic, bi-static, radar, high spatial resolution, calibrated high delay and Doppler resolution ddms, coherent detectors, full entropy, fast entropy, power ratio, in-phase and quadrature components, signal phase, reflectivity, nbrcs, inland waters, wetlands
Questions related to this dataset? Contact podaac@podaac.jpl.nasa.gov
Resolution
Spatial Resolution: 1000 Meters x 1000 Meters
Temporal Resolution: Hourly - < Daily
 
Coverage
Region: GLOBAL
Region: TROPICS
North Bounding Coordinate: 38.15 degrees
South Bounding Coordinate: -38.15 degrees
West Bounding Coordinate: -180 degrees
East Bounding Coordinate: 180 degrees
Time Span: 2018-Aug-01 to Present
Granule Time Span: 2017-Feb-19 to 2025-Jan-25
Swath Width: 25 km
 
Projection
Projection Type: Satellite native along-track
Projection Detail: Geolocation information included for each pixel
Ellipsoid: WGS 84
 
Capabilities
DIRECT ACCESS
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This dataset can be downloaded using the podaac-data-subscriber (the recommended tool for bulk downloading PO.DAAC data). It is a Python package for downloading one or many files using the command line interface. The URL redirects to the data-subscriber home page with instructions for utilizing the tool
DIRECT S3-ACCESS
Available for access in-region with AWS Cloud
Region
us-west-2
podaac-ops-cumulus-protected/CYGNSS_L1_CAL_RAW_IF_V1.0/
podaac-ops-cumulus-public/CYGNSS_L1_CAL_RAW_IF_V1.0/
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NameLong NameUnit
add_range_to_spAdditional range to specular point at DDM sample time1
add_range_to_sp_pvtAdditional range to specular point at PVT time1
att_timestamp_gps_secAttitude timestamp - GPS Secondssecond
att_timestamp_gps_weekAttitude timestamp - GPS Weekweek
att_timestamp_utcAttitude timestamp - UTCseconds since 2024-01-03 19:09:46.699996840
bb_nearestTime to most recent black body readingsecond
bb_power_temperature_densityBlack Body Power Temperature DensityCounts/Kelvin
bit_null_offset_portPort bit count null offset1
bit_null_offset_starboardStarboard bit count null offset1
bit_null_offset_zenithZenith bit count null offset1
bit_ratio_lo_hi_portPort low/high bit counter ratio1
bit_ratio_lo_hi_starboardStarboard low/high bit counter ratio1
bit_ratio_lo_hi_zenithZenith low/high bit counter ratio1
brcsDDM bin bistatic radar cross sectionmeter2
brcs_ddm_peak_bin_delay_rowBRCS DDM peak bin delay row1
brcs_ddm_peak_bin_dopp_colBRCS DDM peak bin Doppler column1
brcs_ddm_sp_bin_delay_rowBRCS DDM specular point bin delay row1
brcs_ddm_sp_bin_dopp_colBRCS DDM specular point bin Doppler column1
code_phase_comp_ddm_center_rowCode Phase Comp DDM Center Row
coherency_ratioCoherency Ratio1
commanded_sc_rollCommanded spacecraft attitude roll angleradian
comp_ddm_sp_delay_rowCompressed DDM specular point bin delay row1
comp_ddm_sp_doppler_colCompressed DDM specular point bin Doppler column1
ddmDDM reflectometry channel1
ddm_antDDM Antenna
ddm_brcs_uncertDDM BRCS uncertainty1
ddm_end_time_offsetDDM end time offset1e-9 s
ddm_kurtosisDDM kurtosis1
ddm_lesLeading edge slope1
ddm_nbrcs_centerDDM NBRCS calculated from the central bin1
ddm_noise_floorDDM noise floor1
ddm_noise_floor_correctedDDM noise floor corrected1
ddm_snrDDM signal to noise ratiodB
ddm_sourceLevel 0 data source
ddm_time_type_selectorDDM sample time type selector
ddm_timestamp_gps_secDDM sample timestamp - GPS Secondssecond
ddm_timestamp_gps_sec_one_msDDM sample timestamp - GPS Secondssecond
ddm_timestamp_gps_weekDDM sample timestamp - GPS Weekweek
ddm_timestamp_gps_week_one_msDDM sample timestamp - GPS Weekweek
ddm_timestamp_utcDDM sample timestamp - UTCseconds since 2024-01-03 19:09:46.699996840
ddmi_tracker_delay_centerDDMI Tracker Delay Center
delay_resolutionDDM delay bin resolution1
dopp_resolutionDDM Doppler bin resolutions-1
doppler_comp_ddm_center_colDoppler Comp DDM Center Column
eff_scatterDDM bin effective scattering areameter2
fast_entropyFast entropy1
fresnel_coeffFresnel power reflection coefficient at specular point1
fsw_comp_delay_shiftFlight software DDM compression delay shift1
fsw_comp_dopp_shiftFlight software DDM compression Doppler shifts-1
full_entropyFull entropy1
gps_ant_gain_db_iGPS SV transmit antenna gaindBi
gps_eirpGPS effective isotropic radiated powerwatt
gps_off_boresight_angle_degGPS off boresight angledegree
gps_tx_power_db_wGPS SV transmit powerdBW
i_maxIn-phase1
inst_gainInstrument gain1
iq_imagQuadrature waveform1
iq_realIn-phase waveform1
land_reflectivityPeak linear reflectivitylinear
land_reflectivity_peakPeak linear reflectivitylinear
les_scatter_areaLES scattering areameter2
lna_noise_figureLNA noise figuredB
lna_temp_nadir_portPort Antenna LNA temperaturedegree_Celsius
lna_temp_nadir_starboardStarboard antenna LNA temperaturedegree_Celsius
lna_temp_zenithZenith Antenna LNA temperaturedegree_Celsius
modis_land_coverMODIS Land Cover classification
nbrcs_scatter_areaNBRCS scattering areameter2
noise_correctionDDM noise floor correction factor1
nst_att_statusNST attitude status
peak_brcsValue of Peak BRCS Binmeter2
peak_nbrcsNormalized BRCS1
pekel_sp_water_flagWater found at SP?
pekel_sp_water_flag_10kmWater found within 10km of SP?
pekel_sp_water_flag_2kmWater found within 2km of SP?
pekel_sp_water_flag_5kmWater found within 5km of SP?
pekel_sp_water_local_map_5kmLocal area map of the water mask
pekel_sp_water_percentagePercentage of water at SPpercent
pekel_sp_water_percentage_10kmPercentage of water within 10km of SPpercent
pekel_sp_water_percentage_2kmPercentage of water within 2km of SPpercent
pekel_sp_water_percentage_5kmPercentage of water within 5km of SPpercent
phase_derPhase derivativedegree
port_gain_settingThe Nadir-Port Gain SettingdB
power_analogDDM bin analog powerwatt
prn_codeGPS PRN code1
prn_fig_of_meritPRN selection figure of Merit1
pvt_timestamp_gps_secPVT timestamp - GPS Secondssecond
pvt_timestamp_gps_weekPVT timestamp - GPS Weekweek
pvt_timestamp_utcPVT timestamp - UTCseconds since 2024-01-03 19:09:46.699996840
q_maxQuadrature1
quality_flagsPer-DDM quality flags 1
quality_flags_2Per-DDM quality flags 2
raw_countsDDM bin raw counts1
rx_clk_biasGPS receiver clock biasmeter
rx_clk_bias_pvtGPS receiver clock bias at PVT timemeter
rx_clk_bias_rateGPS receiver clock bias ratemeter s-1
rx_clk_bias_rate_pvtGPS receiver clock bias rate at PVT timemeter s-1
rx_clk_dopplerRx Clock Doppler
rx_to_sp_rangeRx to specular point rangemeter
sampleSample index1
sc_altSpacecraft altitudemeter
sc_latSub-satellite point latitudedegrees_north
sc_lonSub-satellite point longitudedegrees_east
sc_pitchSpacecraft attitude pitch angle at DDM sample timeradian
sc_pitch_attSpacecraft attitude pitch angle at attitude timeradian
sc_pos_xSpacecraft position X at DDM sample timemeter
sc_pos_x_pvtSpacecraft position X at PVT timemeter
sc_pos_ySpacecraft position Y at DDM sample timemeter
sc_pos_y_pvtSpacecraft position Y at PVT timemeter
sc_pos_zSpacecraft position Z at DDM sample timemeter
sc_pos_z_pvtSpacecraft position Z at PVT timemeter
sc_rollSpacecraft attitude roll angle at DDM sample timeradian
sc_roll_attSpacecraft attitude roll angle at attitude timeradian
sc_vel_xSpacecraft velocity X at DDM sample timemeter s-1
sc_vel_x_pvtSpacecraft velocity X at PVT timemeter s-1
sc_vel_ySpacecraft velocity Y at DDM sample timemeter s-1
sc_vel_y_pvtSpacecraft velocity Y at PVT timemeter s-1
sc_vel_zSpacecraft velocity Z at DDM sample timemeter s-1
sc_vel_z_pvtSpacecraft velocity Z at PVT timemeter s-1
sc_yawSpacecraft attitude yaw angle at DDM sample timeradian
sc_yaw_attSpacecraft attitude yaw angle at attitude timeradian
sp_altSpecular point altitudemeter
sp_az_bodySpecular point body frame azimuth angledegree
sp_az_orbitSpecular point orbit frame azimuth angledegree
sp_calc_methodSpecular point calculation method
sp_code_phaseSP Code Phase
sp_ddmi_delay_correctionCorrection to DDMI specular point delay1
sp_ddmi_doppDDMI Doppler at specular points-1
sp_ddmi_dopp_correctionCorrection to DDMI specular point Dopplers-1
sp_delay_errorFlight software specular point delay error1
sp_dopp_errorFlight software specular point Doppler errors-1
sp_dopplerSP DopplerHz
sp_fsw_delayFlight software specular point delay1
sp_inc_angleSpecular point incidence angledegree
sp_land_confidenceConfidence in land specular point
sp_land_validIs land SP valid?
sp_latSpecular point latitudedegrees_north
sp_lat_one_msSpecular point latitudedegrees_north
sp_lonSpecular point longitudedegrees_east
sp_lon_one_msSpecular point longitudedegrees_east
sp_pos_xSpecular point position Xmeter
sp_pos_ySpecular point position Ymeter
sp_pos_zSpecular point position Zmeter
sp_rx_gainSpecular point Rx antenna gaindBi
sp_theta_bodySpecular point body frame theta angledegree
sp_theta_orbitSpecular point orbit frame theta angledegree
sp_vel_xSpecular point velocity Xmeter s-1
sp_vel_ySpecular point velocity Ymeter s-1
sp_vel_zSpecular point velocity Zmeter s-1
spacecraft_idCCSDS spacecraft identifier1
spacecraft_numCYGNSS spacecraft number1
srtm_dem_altSRTM DEM altitudemeter
srtm_slopeSRTM DEM slopedegree
starboard_gain_settingThe Nadir-Starboard Gain SettingdB
static_gps_eirpStatic GPS effective isotropic radiated powerwatt
status_flags_one_hz1 Hz Status Flags
surface_water_percentagePercentage of surface waterpercent
sv_numGPS Space Vehicle Number1
track_idDDM Track ID1
tx_clk_biasGPS transmitter clock biasmeter
tx_pos_xGPS Tx position Xmeter
tx_pos_yGPS Tx position Ymeter
tx_pos_zGPS Tx position Zmeter
tx_to_sp_rangeTx to specular point rangemeter
tx_vel_xGPS Tx velocity Xmeter s-1
tx_vel_yGPS Tx velocity Ymeter s-1
tx_vel_zGPS Tx velocity Zmeter s-1
zenith_code_phaseZenith signal code phase1
zenith_sig_i2q2Zenith Signal I2Q21
zenith_sig_i2q2_add_correctionZenith Signal I2 Q2 additive correction factor1
zenith_sig_i2q2_correctedZenith Signal I2Q2 Corrected1
zenith_sig_i2q2_mult_correctionZenith Signal I2Q2 Multiplicative Correction Factor1
DATA CITATION GUIDELINES
GENERAL DOCUMENTATION
USER'S GUIDE
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/10.1109/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/10.1109/TGRS.2023.3318639
    H. Carreno-Luengo, C. S. Ruf, S. Gleason and A. Russel, "A New Multiresolution CYGNSS Data Product for Fully and Partially Coherent Scattering," in IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-18, 2023, Art no. 4408118, doi: 10.1109/TGRS.2023.3318639.
DATA RECIPE
ANOMALIES
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 1 Calibrated Raw IF Version 1.0. Ver. 1.0. PO.DAAC, CA, USA. Dataset accessed [YYYY-MM-DD] at https://doi.org/10.5067/CYGNS-L1R10

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For more information see Data Citations and Acknowledgments.

Journal Reference Gleason, S., Ruf, C. S., O'Brien, A. J., McKague, D. S. . 2019. The CYGNSS Level 1 Calibration Algorithm and Error Analysis Based On On-Orbit Measurements., IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 12, 1. https://doi.org//10.1109/JSTARS.2018.2832981

H. Carreno-Luengo, C. S. Ruf, S. Gleason and A. Russel. 2023. A New Multiresolution CYGNSS Data Product for Fully and Partially Coherent Scattering, IEEE Transactions on Geoscience and Remote Sensing, 61, Art no. 4408118. https://doi.org//10.1109/TGRS.2023.3318639