N: 40 S: -40 E: 180 W: -180
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.
Product Summary
Citation
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USER'S GUIDE
ALGORITHM THEORETICAL BASIS DOCUMENT (ATBD)
ANOMALIES
DATA CITATION GUIDELINES
PUBLICATIONS
Publications Citing This Dataset
| Title | Year Sort ascending | Author | Topic |
|---|---|---|---|
| Assessing the capability of Triton GNSS-Reflectometry for land surface hydrological monitoring | Setti, Paulo T., Tabibi, Sajad | Radar Cross-Section, Radar Reflectivity, SIGMA NAUGHT, Flight Data Logs, Total Surface Water | |
| Spaceborne GNSS-R soil moisture retrieval from GPS/BDS-3/Galileo satellites | Zhu, Yifan, Guo, Fei, Zhang, Xiaohong | Radar Cross-Section, Radar Reflectivity, SIGMA NAUGHT, Flight Data Logs | |
| Pan-tropical daily L-band microwave land surface emissivity retrieval from GNSS-R observations | Zhu, Yifan, Guo, Fei, Zhang, Xiaohong, Yang, Wentao | Radar Cross-Section, Radar Reflectivity, SIGMA NAUGHT, Flight Data Logs | |
| Comprehensive Analysis of CYGNSS GNSS-R data for Enhanced Soil Moisture Retrieval | Setti, Paulo, Tabibi, Sajad | Soil Temperature, Soil Moisture/Water Content, Radar Cross-Section, Radar Reflectivity, SIGMA NAUGHT, Flight Data Logs, Radar Cross-Section, Radar Reflectivity | |
| Coherent Combination of GPS III L1 C/A and L1C Signals for GNSS Reflectometry | Du, Hao, Nan, Yang, Li, Weiqiang, Cardellach, Estel, Ribo, Serni, Rius, Antonio | Radar Cross-Section, Radar Reflectivity, SIGMA NAUGHT, Flight Data Logs, SENSOR COUNTS | |
| Research on Sea Surface Wind Speed FM Based on CYGNSS and HY-2B Microwave Scatterometer | Zhang, Yun, Zhao, Xingyu, Yang, Shuhu, Han, Yanling, Hong, Zhonghua, Meng, Wanting, Chen, Zhansheng, Liu, Weiliang | Radar Cross-Section, Radar Reflectivity, SIGMA NAUGHT, Flight Data Logs | |
| Spaceborne GNSS-Reflectometry for Surface Water Mapping in the Amazon Basin | Setti, Paulo T., Tabibi, Sajad | Radar Cross-Section, Radar Reflectivity, SIGMA NAUGHT, Flight Data Logs, Radar Cross-Section, Radar Reflectivity | |
| Spatially Interpolated CYGNSS Data Improve Downscaled 3 km SMAP/CYGNSS | Wernicke, Liza J., Chew, Clara C., Small, Eric E. | Reflectance, Brightness Temperature, SIGMA NAUGHT, Surface Soil Moisture, Radar Cross-Section, Radar Reflectivity, Flight Data Logs, Soil Moisture/Water Content, Soil Temperature | |
| Signal coherence and water detection algorithms for the ESA HydroGNSS mission | Peng, Jilun, Li, Weiqiang, Cardellach, Estel, Marigold, Gabrielle, Clarizia, Maria-Paola | Radar Cross-Section, Radar Reflectivity, SIGMA NAUGHT, Flight Data Logs, Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Exploiting Frequency-Domain Information of GNSS Reflectometry for Sea Surface Wind Speed Retrieval | Chen, Keran, Zhou, Yuan, Li, Shuoshi, Wang, Ping, Li, Xiaofeng | Radar Cross-Section, Radar Reflectivity, SIGMA NAUGHT, Flight Data Logs, Surface Winds, Surface Winds | |
| Intercomparison of electromagnetic scattering models for delay-Doppler maps along a CYGNSS land track with topography | Campbell, James D., Akbar, Ruzbeh, Bringer, Alexandra, Comite, Davide, Dente, Laura, Gleason, Scott T., Guerriero, Leila, Hodges, Erik, Johnson, Joel T., Kim, Seung-Bum, Melebari, Amer, Pierdicca, Nazzareno, Ruf, Christopher S., Tsang, Leung, Wang, Tianlin, Xu, Haokui, Zhu, Jiyue, Moghaddam, Mahta | Soil Temperature, Soil Moisture/Water Content, SIGMA NAUGHT, Digital Elevation/Terrain Model (DEM), Land Use/Land Cover Classification, Normalized Difference Vegetation Index (NDVI), Soil Classification, Soil Texture, Surface Roughness, Radar Cross-Section, Radar Reflectivity, Flight Data Logs, Radar Cross-Section, Radar Reflectivity | |
| Information fusion for GNSS-R wind speed retrieval using statistically modified convolutional neural network | Guo, Wenfei, Du, Hao, Guo, Chi, Southwell, Benjamin J., Cheong, Joon Wayn, Dempster, Andrew G. | Radar Cross-Section, Radar Reflectivity, SIGMA NAUGHT, Flight Data Logs | |
| GNSS reflectometry global ocean wind speed using deep learning: Development and assessment of CyGNSSnet | Asgarimehr, Milad, Arnold, Caroline, Weigel, Tobias, Ruf, Chris, Wickert, Jens | Radar Cross-Section, Radar Reflectivity, SIGMA NAUGHT, Flight Data Logs, Surface Winds, Surface Winds | |
| Detection and Mitigation of Radio Frequency Interference in GNSS-R Data | Wu, Kahn-Bao, Morton, Y. Jade, Chew, Clara | Radar Cross-Section, Radar Reflectivity, SIGMA NAUGHT, Flight Data Logs, SENSOR COUNTS | |
| The potential of spaceborne GNSS reflectometry for detecting ocean surface currents | Hoseini, Mostafa, Nahavandchi, Hossein | Radar Cross-Section, Radar Reflectivity, SIGMA NAUGHT, Flight Data Logs | |
| First spaceborne demonstration of BeiDou-3 signals for GNSS reflectometry from CYGNSS constellation | LI, Weiqiang, CARDELLACH, Estel, RIBO, Serni, RIUS, Antonio, ZHOU, Bo | Radar Cross-Section, Radar Reflectivity, SIGMA NAUGHT, Flight Data Logs | |
| Evaluation of the Land GNSS-Reflected DDM Coherence on Soil Moisture | Dong, Zhounan, Jin, Shuanggen | Radar Cross-Section, Radar Reflectivity, SIGMA NAUGHT, Flight Data Logs | |
| GNSS-R Delay/Doppler Map Compression Method Using a Denoising Convolutional Autoencoder | Du, Hao, Min, Rong, Guo, Wenfei | Radar Cross-Section, Radar Reflectivity, SIGMA NAUGHT, Flight Data Logs | |
| Improving representation of tropical wetland methane emissions with CYGNSS inundation maps | GerleinSafdi, Cynthia, Bloom, A. Anthony, Plant, Genevieve, Kort, Eric A., Ruf, Christopher S. | Wetlands, Methane, Emissions, Radar Cross-Section, Radar Reflectivity, SIGMA NAUGHT, Flight Data Logs | |
| An Evaluation of NOAA CyGNSS Winds Derived from v3. 0 CyGNSS Normalized Bistatic Radar Cross Section | Said, Faozi, Jelenak, Zorana, Chang, Paul S. | Radar Cross-Section, Radar Reflectivity, SIGMA NAUGHT, Flight Data Logs | |
| Analysis of coastal wind speed retrieval from CYGNSS mission using artificial neural network | Li, Xiaohui, Yang, Dongkai, Yang, Jingsong, Zheng, Gang, Han, Guoqi, Nan, Yang, Li, Weiqiang | Radar Cross-Section, Radar Reflectivity, SIGMA NAUGHT, Flight Data Logs, Surface Winds, Surface Winds | |
| Opportunity for GNSS Reflectometry in Sensing the Regional Climate and Soil Moisture Instabilities in Myanmar | Lwin, Aung, Yang, Dongkai, Hong, Xuebao, Zhang, Bo, Zhang, Baoyin, Sara, Cheraghi Shamsabadi | Radar Cross-Section, Radar Reflectivity, SIGMA NAUGHT, Flight Data Logs | |
| The NOAA track-wise wind retrieval algorithm and product assessment for CyGNSS | Said, Faozi, Jelenak, Zorana, Park, Jeonghwan, Chang, Paul S. | Radar Cross-Section, Radar Reflectivity, SIGMA NAUGHT, Flight Data Logs | |
| The application of CYGNSS data for soil moisture and inundation mapping in australia | Khaki, Mehdi, Han, Shin-Chan, Yeo, In-Young, Frost, Andrew | Radar Cross-Section, Radar Reflectivity, SIGMA NAUGHT, Flight Data Logs | |
| Towards wind vector and wave height retrievals over inland waters using CYGNSS | Loria, Eric, O'Brien, Andrew, Zavorotny, Valery, Zuffada, Cinzia | Radar Cross-Section, Radar Reflectivity, SIGMA NAUGHT, Flight Data Logs, SENSOR COUNTS | |
| Modeling the effects of topography on delay-Doppler maps | Campbell, James D., Melebari, Amer, Moghaddam, Mahta | Radar Cross-Section, Radar Reflectivity, SIGMA NAUGHT, Flight Data Logs | |
| Flash flood detection from CYGNSS data using the RUSBoost algorithm | Ghasemigoudarzi, Pedram, Huang, Weimin, De Silva, Oscar, Yan, Qingyun, Power, Desmond T. | Radar Cross-Section, Radar Reflectivity, SIGMA NAUGHT, Flight Data Logs | |
| Azimuthal dependence of GNSSR scattering crosssection in hurricanes | Balasubramaniam, Rajeswari, Ruf, Christopher | Radar Cross-Section, Radar Reflectivity, SIGMA NAUGHT, Flight Data Logs | |
| An Overview of NOAA CYGNSS Wind Product Version 1.0 | Said, Faozi, Jelenak, Zorana, Park, Jeonghwan, Zhu, Qi, Chang, Paul S. | Radar Cross-Section, Radar Reflectivity, SIGMA NAUGHT, Flight Data Logs | |
| Soil moisture content from GNSS reflectometry using dielectric permittivity from fresnel reflection coefficients | Calabia, Andres, Molina, Inigo, Jin, Shuanggen | Radar Cross-Section, Radar Reflectivity, SIGMA NAUGHT, Flight Data Logs | |
| A CYGNSSbased algorithm for the detection of inland waterbodies | GerleinSafdi, Cynthia, Ruf, Christopher S. | Reflectance, Total Surface Water, Radar Cross-Section, Radar Reflectivity, SIGMA NAUGHT, Flight Data Logs | |
| A novel approach to monitoring wetland dynamics using CYGNSS: Everglades case study | Morris, Mary, Chew, Clara, Reager, John T., Shah, Rashmi, Zuffada, Cinzia | Radar Cross-Section, Radar Reflectivity, SIGMA NAUGHT, Flight Data Logs | |
| Soil Moisture retrieval in Southeast China from spaceborne GNSS-R measurements | Dong, Zhounan, Jin, Shuanggen | Radar Cross-Section, Radar Reflectivity, SIGMA NAUGHT, Flight Data Logs | |
| Lake level and surface topography measured with spaceborne GNSSreflectometry from CYGNSS mission: Example for the lake Qinghai | Li, Weiqiang, Cardellach, Estel, Fabra, Fran, Ribo, Serni, Rius, Antonio | Radar Cross-Section, Radar Reflectivity, SIGMA NAUGHT, Flight Data Logs |
Variables
The table below lists the variables contained within a single granule for this dataset. Variables often contain observed or derived geophysical measurements collected from a variety of sources, including remote sensing instruments on satellite and airborne platforms, field campaigns, in situ measurements, and model outputs. The terms variable, parameter, scientific data set, layer, and band have been used across NASA’s Earth science disciplines; however, variable is the designated nomenclature in NASA’s Common Metadata Repository (CMR). Variable metadata attributes such as Name, Description, Units, Data Type, Fill Value, Valid Range, and Scale Factor allow users to efficiently process and analyze the data. The full range of attributes may not be applicable to all variables. Additional information on variable attributes is typically available in the data, user guide, and/or other product documentation.
For questions on a specific variable, please use the Earthdata Forum.
| Name Sort descending | Description | Units | Data Type | Fill Value | Valid Range | Scale Factor | Offset |
|---|---|---|---|---|---|---|---|
| add_range_to_sp | For diagnostic use only. See UM document 148-0372 CYGNSS L1 netCDF Diagnostic Variables for more information. | 1 | float | -9999 | N/A | 1 | N/A |
| add_range_to_sp_pvt | For diagnostic use only. See UM document 148-0372 CYGNSS L1 netCDF Diagnostic Variables for more information. | 1 | float | -9999 | N/A | 1 | N/A |
| att_timestamp_gps_sec | The GPS second of week of att_timestamp_utc, with nanosecond resolution | second | double | N/A | N/A | 1 | N/A |
| att_timestamp_gps_week | The GPS week number of att_timestamp_utc | week | int | N/A | N/A | 1 | N/A |
| att_timestamp_utc | The spacecraft attitude epoch. The number of seconds since time_coverage_start with nanosecond resolution. This is the timestamp of the spacecraft attitude reported by the spacecraft attitude determinination system. | seconds since 2020-01-02 00:00:00.499261690 | double | N/A | N/A | 1 | N/A |
| bb_nearest | The time between ddm_timestamp_utc and the ddm_timestamp_utc associated with the closest (in time) black body reading, in signed seconds. A positive value indicates that the black body reading occurred after ddm_timestamp_utc. A negative value indicates that the block body reading occurred before ddm_timestamp_utc. | second | int | -9999 | N/A | 1 | N/A |
| bit_null_offset_port | For diagnostic use only. See UM document 148-0372 CYGNSS L1 netCDF Diagnostic Variables for more information. | 1 | float | -9999 | N/A | 1 | N/A |
| bit_null_offset_starboard | For diagnostic use only. See UM document 148-0372 CYGNSS L1 netCDF Diagnostic Variables for more information. | 1 | float | -9999 | N/A | 1 | N/A |
| bit_ratio_hi_lo_port | For diagnostic use only. See UM document 148-0372 CYGNSS L1 netCDF Diagnostic Variables for more information. | 1 | float | -9999 | N/A | 1 | N/A |
| bit_ratio_hi_lo_starboard | For diagnostic use only. See UM document 148-0372 CYGNSS L1 netCDF Diagnostic Variables for more information. | 1 | float | -9999 | N/A | 1 | N/A |
| brcs | 17 x 11 array of DDM bin bistatic radar cross section, m^2. The specular point is located in DDM bin round(brcs_ddm_sp_bin_delay_row), round(brcs_ddm_sp_bin_dopp_col). | meter2 | float | -9999 | N/A | 1 | N/A |
| brcs_ddm_peak_bin_delay_row | The zero-based delay row of the peak value in the bistatic radar cross section DDM (brcs). Ranges from 0 to 16. | 1 | byte | -99 | N/A | 1 | N/A |
| brcs_ddm_peak_bin_dopp_col | The zero-based Doppler column of the peak value in the bistatic radar cross section DDM (brcs). Ranges from 0 to 10. | 1 | byte | -99 | N/A | 1 | N/A |
| brcs_ddm_sp_bin_delay_row | The zero-based delay row of the specular point delay in the bistatic radar cross section DDM (brcs). Note that this is a floating point value. | 1 | float | -9999 | N/A | 1 | N/A |
| brcs_ddm_sp_bin_dopp_col | The zero-based Doppler column of the specular point Doppler in the bistatic radar cross section DDM (brcs). Note that this is a floating point value. | 1 | float | -9999 | N/A | 1 | N/A |
| ddm | The netCDF coordinate variable associated with variables that are dimensioned by the 4 DDMI reflectometry channels. It enumerates the zero-justified index range of DDM reflectometry channels. Ranges from 0 to 3. | 1 | byte | N/A | N/A | 1 | N/A |
| ddm_ant | The antenna that received the reflected GPS signal associated with the DDM. 0 = none 1 = zenith (never used) 2 = nadir_starboard 3 = nadir_port | N/A | byte | -99 | N/A | 1 | N/A |
| ddm_brcs_uncert | Uncertainty of the BRCS | 1 | float | -9999 | N/A | 1 | N/A |
| ddm_end_time_offset | For diagnostic use only. See UM document 148-0372 CYGNSS L1 netCDF Diagnostic Variables for more information. | 1e-9 s | int | -9999 | N/A | 1 | N/A |
| ddm_les | Leading edge slope of a 3 delay x 5 Doppler bin box that include the specular point bin. The specular point bin is in the top (least delay) row and the center Doppler column of the 3 x 5 box. | 1 | float | -9999 | N/A | 1 | N/A |
| ddm_nbrcs | Normalized BRCS of a 3 delay x 5 Doppler bin box that includes the specular point bin. The specular point bin is in the top (least delay) row and the center Doppler column of the 3 x 5 box. | 1 | float | -9999 | N/A | 1 | N/A |
| ddm_noise_floor | For non-black-body DDMs: Is equal to the average bin raw counts in the first 45 delay rows of the uncompressed 20 x 128 DDM, in counts, at ddm_timestamp_utc. For black body DDMs: Is equal to the average bin raw counts in all 128 delay rows of the uncompressed 20 x 128 DDM, in counts, at ddm_timestamp_utc. | 1 | float | -9999 | N/A | 1 | N/A |
| ddm_snr | 10log(Smax/Navg), where Smax is the maximum value (in raw counts) in a single DDM bin and Navg is the the average per-bin raw noise counts. ddm_snr is in dB, at ddm_timestamp_utc. | dB | float | -9999 | N/A | 1 | N/A |
| ddm_source | The source of the Level 0 DDM raw counts and metadata. 0 = End-End Simulator (E2ES) 1 = GPS signal simulator 2 = CYGNSS spacecraft 3 = Source unknown | N/A | byte | N/A | N/A | 1 | N/A |
| ddm_timestamp_gps_sec | The GPS second of week of ddm_timestamp_utc, with nanosecond resolution | second | double | N/A | N/A | 1 | N/A |
| ddm_timestamp_gps_week | The GPS week number of ddm_timestamp_utc | week | int | N/A | N/A | 1 | N/A |
| ddm_timestamp_utc | DDM sample time. The number of seconds since time_coverage_start with nanosecond resolution. Its position relative to the DDM sampling period is determined by ddm_time_type_selector. Some metadata required for DDM calibration are generated relative to pvt_timestamp_utc or att_timestamp_utc. These metadata are interpolated to ddm_timestamp_utc before being used for DDM calibration. Note that the DDM sampling period is not synchronized with the UTC change of second and can occur at any time relative to the UTC change of second. | seconds since 2020-01-02 00:00:00.499261690 | double | N/A | N/A | 1 | N/A |
| ddm_time_type_selector | Determines the position of ddm_timestamp_utc relative to the DDM sampling period. Set to <Middle of DDM sampling period> for nominal science operations. Other settings are used for pre-launch testing only. 0 = Start of DDM sampling period (used for pre-launch testing only) 1 = Middle of DDM sampling period 2 = End of DDM sampling period (used for testing pre-launch only) 3 = pvt_timestamp_utc (used for testing pre-launch only) | N/A | byte | N/A | N/A | 1 | N/A |
| delay_resolution | DDM delay bin resolution in chips. One chip is equal to 1/1,023,000 seconds. | 1 | float | N/A | N/A | 1 | N/A |
| direct_signal_snr | 10log(zenith signal power/zenith signal noise) in dB, at ddm_timestamp_utc. | dB | float | -9999 | N/A | 1 | N/A |
| dopp_resolution | DDM Doppler bin resolution in Hz | s-1 | float | N/A | N/A | 1 | N/A |
| eff_scatter | 17 x 11 array of DDM bin effective scattering area, m^2. This is an estimate of the true surface scattering area that contributes power to each DDM bin, after accounting for the GPS signal spreading function. It is calculated by convolving the GPS ambiguity function with the surface area that contributes power to a given DDM bin as determined by its delay and Doppler values and the measurement geometry. The specular point bin location matches the specular point bin location in brcs. | meter2 | float | -9999 | N/A | 1 | N/A |
| fresnel_coeff | The SQUARE of the left hand circularly polarized Fresnel electromagnetic voltage reflection coefficient at 1575 MHz for a smooth ocean surface at the specular point location and incidence angle. See UM document 148-0361 Fresnel Coefficient Calculation for more information. | 1 | float | -9999 | N/A | 1 | N/A |
| fsw_comp_delay_shift | For diagnostic use only. See UM document 148-0372 CYGNSS L1 netCDF Diagnostic Variables for more information. | 1 | float | -9999 | N/A | 1 | N/A |
| fsw_comp_dopp_shift | For diagnostic use only. See UM document 148-0372 CYGNSS L1 netCDF Diagnostic Variables for more information. | s-1 | float | -9999 | N/A | 1 | N/A |
| gps_ant_gain_db_i | SV antenna gain in the direction of the specular point | dBi | float | -9999 | N/A | 1 | N/A |
| gps_eirp | The estimated effective isotropic RF power (EIRP) of the L1 C/A code signal within ± 1 MHz of the L1 carrier radiated by space vehicle, sv_num, in the direction of the CYGNSS spacecraft, in Watts, at ddm_timestamp_utc. | watt | float | -9999 | N/A | 1 | N/A |
| gps_off_boresight_angle_deg | SV antenna off boresight angle in the direction of the specular point | degree | float | -9999 | N/A | 1 | N/A |
| gps_tx_power_db_w | GPS Tx power in dBW | dBW | float | -9999 | N/A | 1 | N/A |
| inst_gain | The black body noise counts divided by the sum of the black body power and the instrument noise power, in count/W, at ddm_timestamp_utc. | 1 | float | -9999 | N/A | 1 | N/A |
| les_scatter_area | The scattering area of the 3 x 5 region of the ddm used to calculate ddm_les. | meter2 | float | -9999 | N/A | 1 | N/A |
| lna_noise_figure | The low noise amplifier (LNA) noise figure, in dB, at ddm_timestamp_utc. Estimated from pre-launch characterization of LNA performance as a function of LNA temperature. | dB | float | -9999 | N/A | 1 | N/A |
| lna_temp_nadir_port | The temperature of the port antenna low noise amplifier at ddm_timestamp_utc, in degrees C. | degree_Celsius | float | -9999 | N/A | 1 | N/A |
| lna_temp_nadir_starboard | The temperature of the starboard antenna low noise amplifier at ddm_timestamp_utc, in degrees C. | degree_Celsius | float | -9999 | N/A | 1 | N/A |
| lna_temp_zenith | The temperature of the zenith antenna low noise amplifier at ddm_timestamp_utc, in degrees C. | degree_Celsius | float | -9999 | N/A | 1 | N/A |
| nbrcs_scatter_area | The scattering area of the 3 x 5 region of the ddm used to calculate ddm_nbrcs. | meter2 | float | -9999 | N/A | 1 | N/A |
| nst_att_status | Nano Star Tracker attitude status as reported by the ADCS subsystem. Enumeration, with 0 indicating OK, and non-zero indicating an erroneous condition. Values: 0 = ok 1 = not_used2 2 = bad 3 = too_few_stars 4 = quest_failed 5 = residuals_too_high 6 = too_close_to_edge 7 = pix_amp_too_low 8 = pix_amp_too_high 9 = backgnd_too_high 10 = track_failure 11 = pix_sum_too_low 12 = unused 13 = too_dim_for_starid 14 = too_many_groups 15 = too_few_groups 16 = channel_disabled 17 = track_blk_overlap 18 = ok_for_starid 19 = too_close_to_other 20 = too_many_pixels 21 = too_many_columns 22 = too_many_rows | N/A | byte | -99 | N/A | 1 | N/A |
| power_analog | 17 x 11 array of DDM bin analog power, Watts. analog_power is the true power that would have been measured by an ideal (analog) power sensor. power_digital is the power measured by the actual 2-bit sensor, which includes quantization effects. power_analog has been corrected for quantization effects. | watt | float | -9999 | N/A | 1 | N/A |
| power_digital | 17 x 11 array of DDM bin digital power, Watts. See power_analog for more information. | watt | float | -9999 | N/A | 1 | N/A |
| prn_code | The PRN code of the GPS signal associated with the DDM. Ranges from 0 to 32. 0 = reflectometry channel idle. 1 through 32 = GPS PRN codes. | 1 | byte | -99 | 0 to 32 | 1 | N/A |