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Lidar Observations of Stratospheric Gravity Waves From 2011 to 2015 at McMurdo (77.84°S, 166.69°E), Antarctica: 2. Potential Energy Densities, Lognormal Distributions, and Seasonal Variations

Five years of Fe Boltzmann lidar's Rayleigh temperature data from 2011 to 2015 at McMurdo are used to characterize gravity wave potential energy mass density (E (pm)), potential energy volume density (E (pv)), vertical wave number spectra, and static stability N (2) in the stratosphere 30–50 km...

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Autores principales: Chu, Xinzhao, Zhao, Jian, Lu, Xian, Harvey, V. Lynn, Jones, R. Michael, Becker, Erich, Chen, Cao, Fong, Weichun, Yu, Zhibin, Roberts, Brendan R., Dörnbrack, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6473597/
https://www.ncbi.nlm.nih.gov/pubmed/31032162
http://dx.doi.org/10.1029/2017JD027386
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author Chu, Xinzhao
Zhao, Jian
Lu, Xian
Harvey, V. Lynn
Jones, R. Michael
Becker, Erich
Chen, Cao
Fong, Weichun
Yu, Zhibin
Roberts, Brendan R.
Dörnbrack, Andreas
author_facet Chu, Xinzhao
Zhao, Jian
Lu, Xian
Harvey, V. Lynn
Jones, R. Michael
Becker, Erich
Chen, Cao
Fong, Weichun
Yu, Zhibin
Roberts, Brendan R.
Dörnbrack, Andreas
author_sort Chu, Xinzhao
collection PubMed
description Five years of Fe Boltzmann lidar's Rayleigh temperature data from 2011 to 2015 at McMurdo are used to characterize gravity wave potential energy mass density (E (pm)), potential energy volume density (E (pv)), vertical wave number spectra, and static stability N (2) in the stratosphere 30–50 km. E (pm) (E (pv)) profiles increase (decrease) with altitude, and the scale heights of E (pv) indicate stronger wave dissipation in winter than in summer. Altitude mean [Formula: see text] and [Formula: see text] obey lognormal distributions and possess narrowly clustered small values in summer but widely spread large values in winter. [Formula: see text] and [Formula: see text] vary significantly from observation to observation but exhibit repeated seasonal patterns with summer minima and winter maxima. The winter maxima in 2012 and 2015 are higher than in other years, indicating interannual variations. Altitude mean [Formula: see text] varies by ~30–40% from the midwinter maxima to minima around October and exhibits a nearly bimodal distribution. Monthly mean vertical wave number power spectral density for vertical wavelengths of 5–20 km increases from summer to winter. Using Modern Era Retrospective Analysis for Research and Applications version 2 data, we find that large values of [Formula: see text] during wintertime occur when McMurdo is well inside the polar vortex. Monthly mean [Formula: see text] are anticorrelated with wind rotation angles but positively correlated with wind speeds at 3 and 30 km. Corresponding correlation coefficients are −0.62, +0.87, and +0.80, respectively. Results indicate that the summer‐winter asymmetry of [Formula: see text] is mainly caused by critical level filtering that dissipates most gravity waves in summer. [Formula: see text] variations in winter are mainly due to variations of gravity wave generation in the troposphere and stratosphere and Doppler shifting by the mean stratospheric winds.
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spelling pubmed-64735972019-04-24 Lidar Observations of Stratospheric Gravity Waves From 2011 to 2015 at McMurdo (77.84°S, 166.69°E), Antarctica: 2. Potential Energy Densities, Lognormal Distributions, and Seasonal Variations Chu, Xinzhao Zhao, Jian Lu, Xian Harvey, V. Lynn Jones, R. Michael Becker, Erich Chen, Cao Fong, Weichun Yu, Zhibin Roberts, Brendan R. Dörnbrack, Andreas J Geophys Res Atmos Research Articles Five years of Fe Boltzmann lidar's Rayleigh temperature data from 2011 to 2015 at McMurdo are used to characterize gravity wave potential energy mass density (E (pm)), potential energy volume density (E (pv)), vertical wave number spectra, and static stability N (2) in the stratosphere 30–50 km. E (pm) (E (pv)) profiles increase (decrease) with altitude, and the scale heights of E (pv) indicate stronger wave dissipation in winter than in summer. Altitude mean [Formula: see text] and [Formula: see text] obey lognormal distributions and possess narrowly clustered small values in summer but widely spread large values in winter. [Formula: see text] and [Formula: see text] vary significantly from observation to observation but exhibit repeated seasonal patterns with summer minima and winter maxima. The winter maxima in 2012 and 2015 are higher than in other years, indicating interannual variations. Altitude mean [Formula: see text] varies by ~30–40% from the midwinter maxima to minima around October and exhibits a nearly bimodal distribution. Monthly mean vertical wave number power spectral density for vertical wavelengths of 5–20 km increases from summer to winter. Using Modern Era Retrospective Analysis for Research and Applications version 2 data, we find that large values of [Formula: see text] during wintertime occur when McMurdo is well inside the polar vortex. Monthly mean [Formula: see text] are anticorrelated with wind rotation angles but positively correlated with wind speeds at 3 and 30 km. Corresponding correlation coefficients are −0.62, +0.87, and +0.80, respectively. Results indicate that the summer‐winter asymmetry of [Formula: see text] is mainly caused by critical level filtering that dissipates most gravity waves in summer. [Formula: see text] variations in winter are mainly due to variations of gravity wave generation in the troposphere and stratosphere and Doppler shifting by the mean stratospheric winds. John Wiley and Sons Inc. 2018-08-06 2018-08-16 /pmc/articles/PMC6473597/ /pubmed/31032162 http://dx.doi.org/10.1029/2017JD027386 Text en ©2018. The Authors. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Research Articles
Chu, Xinzhao
Zhao, Jian
Lu, Xian
Harvey, V. Lynn
Jones, R. Michael
Becker, Erich
Chen, Cao
Fong, Weichun
Yu, Zhibin
Roberts, Brendan R.
Dörnbrack, Andreas
Lidar Observations of Stratospheric Gravity Waves From 2011 to 2015 at McMurdo (77.84°S, 166.69°E), Antarctica: 2. Potential Energy Densities, Lognormal Distributions, and Seasonal Variations
title Lidar Observations of Stratospheric Gravity Waves From 2011 to 2015 at McMurdo (77.84°S, 166.69°E), Antarctica: 2. Potential Energy Densities, Lognormal Distributions, and Seasonal Variations
title_full Lidar Observations of Stratospheric Gravity Waves From 2011 to 2015 at McMurdo (77.84°S, 166.69°E), Antarctica: 2. Potential Energy Densities, Lognormal Distributions, and Seasonal Variations
title_fullStr Lidar Observations of Stratospheric Gravity Waves From 2011 to 2015 at McMurdo (77.84°S, 166.69°E), Antarctica: 2. Potential Energy Densities, Lognormal Distributions, and Seasonal Variations
title_full_unstemmed Lidar Observations of Stratospheric Gravity Waves From 2011 to 2015 at McMurdo (77.84°S, 166.69°E), Antarctica: 2. Potential Energy Densities, Lognormal Distributions, and Seasonal Variations
title_short Lidar Observations of Stratospheric Gravity Waves From 2011 to 2015 at McMurdo (77.84°S, 166.69°E), Antarctica: 2. Potential Energy Densities, Lognormal Distributions, and Seasonal Variations
title_sort lidar observations of stratospheric gravity waves from 2011 to 2015 at mcmurdo (77.84°s, 166.69°e), antarctica: 2. potential energy densities, lognormal distributions, and seasonal variations
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6473597/
https://www.ncbi.nlm.nih.gov/pubmed/31032162
http://dx.doi.org/10.1029/2017JD027386
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