GPS signals bouncing off the ocean (CYGNSS)
What it measures. Calibrated records of GPS-like signals bouncing off the ocean surface, expressed as received power and radar cross-section, with quality flags and many engineering details.
How it's made. Produced from the Delay Doppler Mapping Instrument on the CYGNSS constellation of small satellites, which captures reflected navigation signals; up to eight daily files, one per spacecraft.
How & where you'd use it. A low-level science input, mainly used to derive ocean surface wind speeds, especially inside tropical storms and hurricanes, rather than read directly.
What's measured
Coverage & cadence
- Time span2017-03-18 → ongoing
- Measured byCYGNSS (DDMI)
- Processing levelLevel 1
- Spatial extent-180, -40, 180, 40
- FormatsnetCDF-4
- StatusACTIVE
What you can do with it
- Track deforestation, fire scars and land-cover change
- Monitor crop and vegetation health (NDVI/EVI)
- Map how built-up vs. green an area is over time
Official 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.
Get the data
import earthaccess
earthaccess.login(strategy="netrc") # free Earthdata Login
results = earthaccess.search_data(
short_name="CYGNSS_L1_V2.1",
version="2.1",
bounding_box=(-122.5, 37.2, -121.8, 37.9), # your area (W,S,E,N)
temporal=("2024-01-01", "2024-12-31"), # your dates
)
files = earthaccess.open(results) # stream straight from POCLOUD Browsing CMR needs no login. Downloading or streaming bytes needs a free Earthdata Login + the earthaccess package. Official links
- Data Use and Citation Guidelines VIEW RELATED INFORMATION
- Level 1A DDM Calibration Algorithm Theoretical Basis Document, S. Gleason, CYGNSS Project Document 148-0136, Rev 2, 20 Aug. 2018. VIEW RELATED INFORMATION
- 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. VIEW RELATED INFORMATION
- CYGNSS Mission Page at University of Michigan VIEW RELATED INFORMATION
- Deriving Surface Winds from Tropical Cyclones VIEW RELATED INFORMATION
- 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 VIEW RELATED INFORMATION
- Level 1 netCDF Data Dictionary VIEW RELATED INFORMATION
- Forum Post Capturing Changes to CYGNSS Sampling Rate VIEW RELATED INFORMATION