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Title: Ensemble-Averaging Resolves Rapid Atmospheric Response to the 2017 Total Solar Eclipse [Rapid Resolution of the Atmospheric Response to the 2017 Total Solar Eclipse]

Abstract

Rapid changes in solar radiative forcing influence heat, scalar and momentum fluxes and thereby shift the trajectory of near-surface atmospheric transitions. Surface fluxes are difficult to obtain during atmospheric transitions by either bulk or eddy-covariance methods because both techniques assume quasi-stationarity in an atmospheric state and require sufficiently long blocks of data, typically on the order of 10–30 min, to obtain statistically significant results. These computational requirements limit the temporal resolution of atmospheric processes that researchers can examine using traditional measurement techniques. In this paper, we present a novel observational approach to calculate surface fluxes at sub-minute temporal resolutions.

Authors:
 [1];  [2];  [3];  [4];  [5];  [5]
  1. Oregon State Univ., Corvallis, OR (United States)
  2. Univ. of Nevada, Reno, NV (United States)
  3. Univ. of Idaho, Moscow, ID (United States)
  4. Univ. of California, Davis, CA (United States)
  5. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Publication Date:
Research Org.:
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1557929
Report Number(s):
LLNL-JRNL-763519
Journal ID: ISSN 2296-6463; 953348
Grant/Contract Number:  
AC52-07NA27344
Resource Type:
Accepted Manuscript
Journal Name:
Frontiers in Earth Science
Additional Journal Information:
Journal Volume: 7; Journal Issue: na; Journal ID: ISSN 2296-6463
Publisher:
Frontiers Research Foundation
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; flux measurement; ensemble averaging; atmospheric stability; non-stationary ABL; total solar eclipse; turbulence time scales; flux averaging techniques

Citation Formats

Higgins, Chad William, Drake, Stephen A., Kelley, Jason, Oldroyd, Holly J., Jensen, Derek D., and Wharton, Sonia. Ensemble-Averaging Resolves Rapid Atmospheric Response to the 2017 Total Solar Eclipse [Rapid Resolution of the Atmospheric Response to the 2017 Total Solar Eclipse]. United States: N. p., 2019. Web. doi:10.3389/feart.2019.00198.
Higgins, Chad William, Drake, Stephen A., Kelley, Jason, Oldroyd, Holly J., Jensen, Derek D., & Wharton, Sonia. Ensemble-Averaging Resolves Rapid Atmospheric Response to the 2017 Total Solar Eclipse [Rapid Resolution of the Atmospheric Response to the 2017 Total Solar Eclipse]. United States. doi:10.3389/feart.2019.00198.
Higgins, Chad William, Drake, Stephen A., Kelley, Jason, Oldroyd, Holly J., Jensen, Derek D., and Wharton, Sonia. Fri . "Ensemble-Averaging Resolves Rapid Atmospheric Response to the 2017 Total Solar Eclipse [Rapid Resolution of the Atmospheric Response to the 2017 Total Solar Eclipse]". United States. doi:10.3389/feart.2019.00198. https://www.osti.gov/servlets/purl/1557929.
@article{osti_1557929,
title = {Ensemble-Averaging Resolves Rapid Atmospheric Response to the 2017 Total Solar Eclipse [Rapid Resolution of the Atmospheric Response to the 2017 Total Solar Eclipse]},
author = {Higgins, Chad William and Drake, Stephen A. and Kelley, Jason and Oldroyd, Holly J. and Jensen, Derek D. and Wharton, Sonia},
abstractNote = {Rapid changes in solar radiative forcing influence heat, scalar and momentum fluxes and thereby shift the trajectory of near-surface atmospheric transitions. Surface fluxes are difficult to obtain during atmospheric transitions by either bulk or eddy-covariance methods because both techniques assume quasi-stationarity in an atmospheric state and require sufficiently long blocks of data, typically on the order of 10–30 min, to obtain statistically significant results. These computational requirements limit the temporal resolution of atmospheric processes that researchers can examine using traditional measurement techniques. In this paper, we present a novel observational approach to calculate surface fluxes at sub-minute temporal resolutions.},
doi = {10.3389/feart.2019.00198},
journal = {Frontiers in Earth Science},
number = na,
volume = 7,
place = {United States},
year = {2019},
month = {8}
}

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