Description
L3 MRG is a product which 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 starts from the 2024 Atlantic storm season through the present with an approximate latency between 2 and 24 hours . A tapered weighted averaging scheme is used centered on the 34-knot wind radius (R34) of the storm. The R34 value in each storm quadrant is also reported. 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.
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
Resources
| Name | Format | Description | Link |
|---|---|---|---|
| 21 | CYGNSS L3 MRG V3.2 netCDF Data Dictionary | https://archive.podaac.earthdata.nasa.gov/podaac-ops-cumulus-docs/cygnss/open/L3/docs/148-0408-2_Level_3_Merged_Storm_netCDF_Data_Dictionary.xlsx | |
| 21 | Search results for publications that cite this dataset by its DOI. | https://scholar.google.com/scholar?q=10.5067%2FCYGNS-L3N32 | |
| 21 | Generic Data Readers | https://github.com/podaac/data-readers | |
| 21 | CYGNSS Mission Page at University of Michigan | https://cygnss.engin.umich.edu/ | |
| 22 | Thumbnail | https://podaac.jpl.nasa.gov/Podaac/thumbnails/CYGNSS_L3_MRG_V3.2.jpg | |
| 21 | Data Use and Citation Policy | https://podaac.jpl.nasa.gov/CitingPODAAC | |
| 21 | HTTPS endpoint for data browse and download | https://cmr.earthdata.nasa.gov/virtual-directory/collections/C3051555827-POCLOUD | |
| 21 | Browse granule search results in Earthdata Search | https://search.earthdata.nasa.gov/search/granules?p=C3051555827-POCLOUD | |
| 33 | Deriving Surface Winds from Tropical Cyclones | https://cygnss.engin.umich.edu/wp-content/uploads/sites/534/2021/06/CYGNSS_Handbook_April2016.pdf | |
| 33 | Level 3 Merged Storm Storage Scheme | https://archive.podaac.earthdata.nasa.gov/podaac-ops-cumulus-docs/cygnss/open/L3/docs/148-0409-1_Level_3_Merged_Storm_Storage_Scheme.pdf | |
| 33 | Level 3 Merged Gridded Wind Speed Algorithm Theoretical Basis Document | https://archive.podaac.earthdata.nasa.gov/podaac-ops-cumulus-docs/cygnss/open/L3/docs/148-0412_L3_MRG_ATBD_R5.pdf | |
| 21 | CYGNSS Handbook | https://doi.org/10.3998/mpub.12741920 | |
| 21 | 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. | https://doi.org/10.1109/TGRS.2021.3070238 |
Tags
- oceans
- ocean-winds
- earth-science