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 (Epm), potential energy volume density (Epv), vertical wave number spectra, and static stability N² in the stratosphere 30–50 km. Epm (Ep...

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Main Authors: 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
Format: Article in Journal/Newspaper
Language:English
Published: Hoboken, NJ : Wiley 2018
Subjects:
550
Online Access:https://oa.tib.eu/renate/handle/123456789/10694
https://doi.org/10.34657/9730
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spelling ftleibnizopen:oai:oai.leibnizopen.de:qy_SeYsBBwLIz6xGVeuJ 2023-11-12T04:04:17+01:00 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 2018-8-6 application/pdf https://oa.tib.eu/renate/handle/123456789/10694 https://doi.org/10.34657/9730 eng eng Hoboken, NJ : Wiley CC BY-NC-ND 4.0 Unported https://creativecommons.org/licenses/by-nc-nd/4.0/ JGR : Atmospheres 123 (2018), Nr. 2 Antarctic lidar observations lognormal distributions polar vortex potential energy density stratospheric gravity waves wave dissipation 550 article Text 2018 ftleibnizopen https://doi.org/10.34657/9730 2023-10-30T00:19:03Z 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 (Epm), potential energy volume density (Epv), vertical wave number spectra, and static stability N² in the stratosphere 30–50 km. Epm (Epv) profiles increase (decrease) with altitude, and the scale heights of Epv indicate stronger wave dissipation in winter than in summer. Altitude mean (Formula presented.) and (Formula presented.) obey lognormal distributions and possess narrowly clustered small values in summer but widely spread large values in winter. (Formula presented.) and (Formula presented.) 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 presented.) 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 presented.) during wintertime occur when McMurdo is well inside the polar vortex. Monthly mean (Formula presented.) 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 presented.) is mainly caused by critical level filtering that dissipates most gravity waves in summer. (Formula presented.) 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. publishedVersion Article in Journal/Newspaper Antarc* Antarctic Antarctica E. Antarctica Unknown
institution Open Polar
collection Unknown
op_collection_id ftleibnizopen
language English
topic Antarctic lidar observations
lognormal distributions
polar vortex
potential energy density
stratospheric gravity waves
wave dissipation
550
spellingShingle Antarctic lidar observations
lognormal distributions
polar vortex
potential energy density
stratospheric gravity waves
wave dissipation
550
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
topic_facet Antarctic lidar observations
lognormal distributions
polar vortex
potential energy density
stratospheric gravity waves
wave dissipation
550
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 (Epm), potential energy volume density (Epv), vertical wave number spectra, and static stability N² in the stratosphere 30–50 km. Epm (Epv) profiles increase (decrease) with altitude, and the scale heights of Epv indicate stronger wave dissipation in winter than in summer. Altitude mean (Formula presented.) and (Formula presented.) obey lognormal distributions and possess narrowly clustered small values in summer but widely spread large values in winter. (Formula presented.) and (Formula presented.) 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 presented.) 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 presented.) during wintertime occur when McMurdo is well inside the polar vortex. Monthly mean (Formula presented.) 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 presented.) is mainly caused by critical level filtering that dissipates most gravity waves in summer. (Formula presented.) 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. publishedVersion
format Article in Journal/Newspaper
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
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_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_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_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
publisher Hoboken, NJ : Wiley
publishDate 2018
url https://oa.tib.eu/renate/handle/123456789/10694
https://doi.org/10.34657/9730
genre Antarc*
Antarctic
Antarctica
E. Antarctica
genre_facet Antarc*
Antarctic
Antarctica
E. Antarctica
op_source JGR : Atmospheres 123 (2018), Nr. 2
op_rights CC BY-NC-ND 4.0 Unported
https://creativecommons.org/licenses/by-nc-nd/4.0/
op_doi https://doi.org/10.34657/9730
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