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Title: Tower - TTU (SWiFT) Tower, All levels - Processed Data

Abstract

This dataset includes processed sonic anemometer measurements at the 200-m SWIFT tower near Lubbock, Texas on July 4, 2012. Observations are of a canonical convective atmospheric boundary layer. Subgrid stresses and fluxes are computed by subtracting 15-min running average from the signals measured at 1 Hz.

Creator(s)/Author(s):
Publication Date:
DOE Contract Number:  
67025F
Product Type:
Dataset
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:
1461206
DOI:
10.15483/1461206

Citation Formats

Kosovic, Branko. Tower - TTU (SWiFT) Tower, All levels - Processed Data. United States: N. p., 2019. Web. doi:10.15483/1461206.
Kosovic, Branko. Tower - TTU (SWiFT) Tower, All levels - Processed Data. United States. doi:10.15483/1461206.
Kosovic, Branko. 2019. "Tower - TTU (SWiFT) Tower, All levels - Processed Data". United States. doi:10.15483/1461206. https://www.osti.gov/servlets/purl/1461206. Pub date:Wed Dec 11 00:00:00 EST 2019
@article{osti_1461206,
title = {Tower - TTU (SWiFT) Tower, All levels - Processed Data},
author = {Kosovic, Branko},
abstractNote = {This dataset includes processed sonic anemometer measurements at the 200-m SWIFT tower near Lubbock, Texas on July 4, 2012. Observations are of a canonical convective atmospheric boundary layer. Subgrid stresses and fluxes are computed by subtracting 15-min running average from the signals measured at 1 Hz.},
doi = {10.15483/1461206},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2019},
month = {12}
}

Dataset:

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Works referenced in this record:

Large-Eddy Simulation Sensitivities to Variations of Configuration and Forcing Parameters in Canonical Boundary-Layer Flows for Wind Energy Applications
journal, August 2017

  • Mirocha, Jeffrey D.; Churchfield, Matthew J.; Muñoz-Esparza, Domingo
  • Wind Energy Science, Vol. 3, Issue 2, p. 1-40
  • DOI: 10.5194/wes-2017-33