U.S. Department of EnergyOffice of Scientific and Technical Information
Eddy Covariance Flux / Processed Data
Abstract
This dataset consists of estimates of mean and turbulent quantities from a vertical array of instruments installed on the barge met mast, including: sonic anemometers, relative humidity and temperature, pressure, and rain. One of the levels consists of a paired sonic anemometer and infrared gas analyzer for direct covariance sensible and latent heat fluxes. Mean and turbulent quantities are determined over 20-minute averaging periods.
- Authors:
-
- Oregon State University; Pacific Northwest National Laboratory
- Publication Date:
- Research Org.:
- Atmosphere to Electrons (A2e) Data Archive and Portal, Pacific Northwest National Laboratory; PNNL
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Wind and Water Technologies Office (EE-4W)
- Subject:
- 17 WIND ENERGY
- OSTI Identifier:
- 2476341
- DOI:
- https://doi.org/10.21947/2476341
Citation Formats
Zippel, Seth. Eddy Covariance Flux / Processed Data. United States: N. p., 2024.
Web. doi:10.21947/2476341.
Zippel, Seth. Eddy Covariance Flux / Processed Data. United States. doi:https://doi.org/10.21947/2476341
Zippel, Seth. 2024.
"Eddy Covariance Flux / Processed Data". United States. doi:https://doi.org/10.21947/2476341. https://www.osti.gov/servlets/purl/2476341. Pub date:Wed Nov 06 23:00:00 EST 2024
@article{osti_2476341,
title = {Eddy Covariance Flux / Processed Data},
author = {Zippel, Seth},
abstractNote = {This dataset consists of estimates of mean and turbulent quantities from a vertical array of instruments installed on the barge met mast, including: sonic anemometers, relative humidity and temperature, pressure, and rain. One of the levels consists of a paired sonic anemometer and infrared gas analyzer for direct covariance sensible and latent heat fluxes. Mean and turbulent quantities are determined over 20-minute averaging periods.},
doi = {10.21947/2476341},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Nov 06 23:00:00 EST 2024},
month = {Wed Nov 06 23:00:00 EST 2024}
}
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