Ocean winds and floods from GPS signals (CYGNSS)
What it measures. Average wind speed just above the ocean surface and a measure of surface roughness, at about 25 km resolution, tagged with time and location.
How it's made. Produced from a fleet of CYGNSS satellites that listen to reflected GPS signals; the bounced signals are turned into wind speed using a calibrated model. Files arrive about six days after measurement.
How & where you'd use it. Especially good at seeing winds inside hurricanes and tropical storms, and the reflected signals can also reveal flooding over land.
What's measured
Coverage & cadence
- Time span2018-08-01 → ongoing
- Measured byCYGNSS (DDMI)
- Processing levelLevel 2
- Spatial extent-180, -40, 180, 40
- FormatsnetCDF-4
- StatusACTIVE
What you can do with it
- Watch sea-surface temperature and marine heatwaves
- Spot algal blooms and ocean-colour shifts
- Support fisheries and coastal monitoring
Official description
This dataset contains the version 3.2 CYGNSS level 2 science data record which provides the time-tagged and geolocated average wind speed (m/s) and mean square slope (MSS) with 25x25 kilometer resolution from the Delay Doppler Mapping Instrument aboard the CYGNSS satellite constellation. This version supersedes Version 3.1: https://doi.org/10.5067/CYGNS-L2X31. The reported sample locations are determined by the specular points corresponding to the Delay Doppler Maps (DDMs). A subset of DDM data used in the direct processing of the average wind speed and MSS is co-located inside of the Level 2 data files. Only one netCDF data file is produced each day (each file containing data from up to 8 unique CYGNSS spacecraft) with a latency of approximately 6 days (or better) from the last recorded measurement time. The L2 Geophysical Model Function (GMF) that maps L1 observables to ocean surface wind speed and the Significant Wave Height (SWH) second order correction to the wind speed retrievals were rederived to be consistent with the v3.2 L1 calibration. The method used for deriving the GMF and SWH correction is the same as for v3.1. An additional swell wave correction has been added to better account for the long wave dependence at low wind speeds. The FDS and YSLF retrieval algorithms are otherwise the same as v3.1. The v3.2 L2 YSLF wind speed is now designated as an intermediate product and should not be used ‘as is’. Additional quality control filters have been added to the Level 3 gridded product derived from the L2 YSLF wind speed to detect and remove outlier L2 samples, and use of the L3 product is recommended. The CYGNSS is a NASA Earth System Science Pathfinder Mission that is intended to collect the first frequent space‐based measurements of surface wind speeds in the inner core of tropical cyclones. 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 inclination allows CYGNSS to measure ocean surface winds between approximately 38° N and 38° S latitude. This range includes the critical latitude band for tropical cyclone formation and movement.
Get the data
import earthaccess
earthaccess.login(strategy="netrc") # free Earthdata Login
results = earthaccess.search_data(
short_name="CYGNSS_L2_V3.2",
version="3.2",
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
- Generic Data Readers VIEW RELATED INFORMATION
- CYGNSS Mission Page at University of Michigan VIEW RELATED INFORMATION
- HTTPS endpoint for data browse and download GET DATA
- Browse granule search results in Earthdata Search GET DATA
- Level 2 Wind Speed Retrieval Algorithm Theoretical Basis Document VIEW RELATED INFORMATION
- CYGNSS L2 V3.2 netCDF Data Dictionary VIEW RELATED INFORMATION
- Wang, T., Ruf, C. S., Gleason, S., O’Brien, A. J., McKague, D. S., Block, B. P., Russel, A. 2021. Dynamic Calibration of GPS Effective Isotropic Radiated Power for GNSS-Reflectometry Earth Remote Sensing, IEEE Trans. Geosci. Remote Sens. 10.1109/TGRS.2021.3070238. VIEW RELATED INFORMATION