CYGNSS Level 2 Ocean Surface Heat Flux Science Data Record Version 3.2

Description

The CYGNSS level 2 ocean surface heat flux science data record version 3.2 dataset is provided as a service to the oceanographic and meteorological research communities on behalf of a NASA ROSES funded project within CYGNSS Science Team in direct collaboration with the Cyclone Global Navigation Satellite System (CYGNSS) Mission. CYGNSS was launched on 15 December 2016, it is a NASA Earth System Science Pathfinder Mission that was launched with the purpose of collecting the first frequent space‐based measurements of surface wind speeds in the inner core of tropical cyclones. Originally made up of a constellation of eight micro-satellites, the observatories provide nearly gap-free Earth coverage using an orbital inclination of approximately 35°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 dataset provides time-tagged and geolocated ocean surface heat flux parameters with 25x25 kilometer footprint resolution from the Delay Doppler Mapping Instrument (DDMI) aboard the CYGNSS satellite constellation. The reported sample locations are determined by the specular points corresponding to the Delay Doppler Maps (DDMs). Version 3.2 uses CYGNSS Level 2 (L2) Science Data Record (SDR) Version 3.2 surface wind speeds and ECMWF Reanalysis, Version 5 (ERA5). The Coupled Ocean-Atmosphere Response Experiment (COARE) algorithm is what is used in this dataset to estimate the latent and sensible heat fluxes and their respective transfer coefficients. While COARE's initial intentions were for low to moderate wind speeds, the version used for this product, COARE 3.5, has been verified with direct in situ flux measurements for wind speeds up to 25 m/s. As CYGNSS does not provide air/sea temperature, humidity, surface pressure or density, the producer of this dataset obtains these values from this dataset obtains these values from ERA5. This dataset is made available from 1 August 2018 to present with an approximate 1 week latency in the netCDF-4 formatted data files, where each file contains data within a 24-hour UTC period from a combination of up to 8 unique CYGNSS spacecraft. More information on CYGNSS can be found on the CYGNSS mission page.

Resources

Name Format Description Link
View documentation related to this dataset HTML Spacecraft Attitude Tables Updated Monthly Open resource
View documentation related to this dataset HTML Spacecraft Attitude Tables Updated Monthly Open resource
View documentation related to this dataset HTML Spacecraft Attitude Tables Updated Monthly Open resource
View documentation related to this dataset HTML Spacecraft Attitude Tables Updated Monthly Open resource
View documentation related to this dataset HTML Spacecraft Attitude Tables Updated Monthly Open resource
View documentation related to this dataset HTML Spacecraft Attitude Tables Updated Monthly Open resource
View documentation related to this dataset HTML Spacecraft Attitude Tables Updated Monthly Open resource
View documentation related to this dataset HTML Spacecraft Attitude Tables Updated Monthly Open resource
View this dataset's algorithm theoretical basis document PDF Level 2 Wind Speed Retrieval Algorithm Theoretical Basis Document, M. P. Clarizia, V. Zavarotny, C. Ruf, CYGNSS Project Document 148-0138, Rev 5, 17 Aug. 2018. Open resource
View this dataset's user's guide HTML Data Variable Dictionary Open resource
View this dataset's user's guide PDF User Guide for the CYGNSS Surface Flux Dataset Open resource
Download this dataset through a directory map HTML HTTPS endpoint for data browse and download Open resource
The dataset's project home page HTML CYGNSS Mission Page at University of Michigan Open resource
View this dataset's user's guide PDF Deriving Surface Winds from Tropical Cyclones Open resource
View this dataset's documented anomalies HTML Google Sheet Log of Anomalous CYGNSS Sampling Events Open resource
View this dataset's publications HTML Ruf, C., R. Balasubramaniam, 'Development of the CYGNSS Geophysical Model Function for Wind Speed', IEEE J. Sel. Topics Appl. Earth Obs. Remote Sens., doi: 10.1109/JSTARS.2018.2833075, 2018. Open resource
View this dataset's publications HTML Clarizia, M. P., and C. S. Ruf, 'Wind Speed Retrieval Algorithm for the Cyclone Global Navigation Satellite System (CYGNSS) Mission', IEEE Trans Geosci. Remote Sens., doi:10.1109/TGRS.2016.2541343, 2016. 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 publications HTML Crespo, J. A., Posselt, D. J., & Asharaf, S. (2019). CYGNSS Surface Heat Flux Product Development. Remote Sens. 2019, 11, 2294. DOI: 10.3390/rs11192294. Open resource
View this dataset's user's guide HTML CYGNSS Handbook Open resource
View this dataset's data recipes HTML Generic Data Readers Open resource
Web Page HTML Data Subscriber Open resource
View this dataset's data recipes HTML PO.DAAC Cookbook 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

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