Description
This dataset contains the Version 1.1 NOAA CYGNSS Level 2 Science Wind Speed Product Version 1.1 which provides the time-tagged and geolocated average wind speed (m/s) in 25x25 kilometer grid cells along the measurement tracks from the Delay Doppler Mapping Instrument (DDMI) aboard the CYGNSS satellite constellation. This version corresponds to the first science-quality release produced by NOAA/NESDIS using a specific geophysical model function (GMF version 1.0) and a track-wise debiasing algorithm as part of the wind speed retrieval process. The reported sample locations are determined by averaging the specular point locations falling within each 25 km grid cell. 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. Formatting of the data variables and metadata designed to be consistent with the netCDF formatting provided by the legacy CYGNSS mission Level 2 wind speed science data record (SDR).
Resources
| Name | Format | Description | Link |
|---|---|---|---|
| View documentation related to this dataset | HTML | Updated Monthly | Open resource |
| View documentation related to this dataset | HTML | Updated Monthly | Open resource |
| View documentation related to this dataset | HTML | Updated Monthly | Open resource |
| View documentation related to this dataset | HTML | Updated Monthly | Open resource |
| View documentation related to this dataset | HTML | Updated Monthly | Open resource |
| View documentation related to this dataset | HTML | Updated Monthly | Open resource |
| View documentation related to this dataset | HTML | Updated Monthly | Open resource |
| View documentation related to this dataset | HTML | Updated Monthly | Open resource |
| View this dataset's user's guide | User Guide Compiled by the OSWT at NOAA-NESDIS-STAR | Open resource | |
| Download this dataset through a directory map | HTML | HTTPS endpoint for data browse and download | Open resource |
| View documentation related to this dataset | HTML | CYGNSS Mission Page at University of Michigan | Open resource |
| View this dataset's user's guide | Deriving Surface Winds from Tropical Cyclones | Open resource | |
| View this dataset's publications | HTML | F. Said, Z. Jelenak, J. Park, S. Soisuvarn and P. S. Chang, "A Track-Wise Wind Retrieval Algorithm for the CYGNSS Mission," IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, Yokohama, Japan, 2019, pp. 8711-8714. doi: 10.1109/IGARSS.2019.8898099 | Open resource |
| View this dataset's publications | HTML | 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. | Open resource |
| View this dataset's publications | HTML | 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. | Open resource |
| View this dataset's data recipes | HTML | Generic Data Readers | Open resource |
| View documentation related to this dataset | HTML | CYGNSS data documentation and references provided and hosted by NOAA/NESDIS/STAR. | Open resource |
| View this dataset's data citation policy | HTML | Data Use and Citation Policy | Open resource |
| Use OPeNDAP to access the dataset's data | HTML | OPeNDAP Access for Data in the Cloud | Open resource |
| Get a related visualization | JPG | Thumbnail | Open resource |
| Google Scholar search results | HTML | Search results for publications that cite this dataset by its DOI. | Open resource |
| Download this dataset through Earthdata Search | HTML | Browse granule search results in Earthdata Search | Open resource |