Sep 5, 2024
The PO.DAAC is pleased to announce the public release of the Cyclone Global Navigation Satellite System ( CYGNSS) data products from the CYGNSS science team including level 3 merged (MRG) V3.2.1 dataset, level 3 MRG Near Real Time (NRT) V3.2.1 dataset, and daily watermask v3.2 dataset from UC Berkeley. The datasets are provided in netCDF-4 format and extend from 1 August 2018 to the present, and additional descriptions of the data products are documented below:
1. CYGNSS Level 3 MRG Science Data Record Version 3.2.1
This dataset combines the L2 Fully Developed Seas (FDS) and Young Seas Limited Fetch (YSLF) winds and eliminates the need to choose between them depending on sea state development and the proximity to storms. The data are provided in netCDF-4 format and extend from 1 August 2018 to the present with an approximate 6 day latency. A tapered weighted averaging scheme is used centered on the 25 m/s wind radius of the storm. The 34 knot wind radius (R34) algorithm has been updated for v3.2.1 release to center around the National Hurricane Center (NHC) or the Joint Typhoon Warning Center (JTWC) instead of the CYGNSS Vmax location. The algorithm produces global (+/- 40 deg latitude) wind speeds reported on a 0.1x0.1 deg grid every 6 hours for each tropical cyclone, although some 6-hourly increments may be missing if there are an insufficient number of satellite overpasses of the storm during that time interval.
2. CYGNSS Level 3 MRG Science Data Record Near Real Time Version 3.2.1
This dataset combines the L2 FDS and YSLF winds and eliminates the need to choose between them depending on sea state development and the proximity to storms. The data are provided in netCDF-4 format and starts from the June 1, 2024 through the present with an approximate latency between 2 and 24 hours. A tapered weighted averaging scheme is used centered on the 25 m/s wind radius of the storm. The 34 knot wind radius (R34) algorithm has been updated for v3.2.1 release to center around the NHC/JTWC reported storm center instead of the CYGNSS Vmax location The algorithm produces global (+/- 40 deg latitude) wind speeds reported on a 0.1x0.1 deg grid every 6 hours for each tropical cyclone, although some 6-hourly increments may be missing if there are an insufficient number of satellite overpasses of the storm during that time interval. The netCDF files are output on a storm-by-storm basis.
3. UC Berkeley CYGNSS Level 3 Daily RWAWC Watermask Version 3.2
This dataset was developed by CYGNSS investigators in the Department of Civil and Environmental Engineering at the University of California, Berkeley. It is derived from version 3.2 of the CYGNSS L1 SDR dataset, and provides daily binary inland surface water classification data at a 0.01-degree (~1x1 kilometer) resolution with an approximate 6-day latency. This product, known as the UC Berkeley Random Walk Algorithm WaterMask from CYGNSS (Berkeley-RWAWC), generates water classification for a given location based on CYGNSS observations combined with a random walker algorithm. The watermask variable includes binary values indicating land (0), surface water (1), and no data/ocean (-99).
The CYGNSS datasets and documents are accessible via the dataset landing page on PO.DAAC web portal. Users are recommended to download the data using the podaac-data-subscriber. We also encourage users to visit PO.DAAC Cloud Cookbook for detailed information about how to access the data from NASA Earthdata Cloud. General information regarding the CYGNSS mission is available from the mission website.
Summary of Temporal and Spatial Resolution
| Temporal Resolution | Spatial Resolution | Latency | |
| L3 MRG V3.2.1 | Daily | 0.1x0.1 degree | 6 hrs |
| L3 MRG NRT V3.2.1 | Daily | 0.1x0.1 degree | 2 to 24 hrs |
| L3 Daily Watermask V3.2 | Daily | 0.01x0.01 degree | 6 days |
DOI:
Related PO.DAAC Animation:
UC Berkeley CYGNSS Level 3 Daily RWAWC Watermask Version 3.2 (https://podaac.jpl.nasa.gov/animations/CYGNSS-L3-UC-BERKELEY-WATERMASK-DAILY-V3.2)
Comments/Questions? Please contact podaac@podaac.jpl.nasa.gov or visit the PO.DAAC on Earthdata Forum.
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