Atmospheric Gravity Wave Events in Antarctica
An all-sky IR camera placed at McMurdo, Antarctica (77˚83' S, 166˚61' E) took one picture every ten seconds for the months of April through September in 2012 and 2013. The data was first visually analyzed to distinguish clear sky periods of at least four hours. The best nights were selecte...
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ftutahsudc:oai:digitalcommons.usu.edu:researchweek-1616 2023-05-15T13:44:31+02:00 Atmospheric Gravity Wave Events in Antarctica Wrobel, America 2018-04-12T17:30:00Z application/pdf https://digitalcommons.usu.edu/researchweek/ResearchWeek2018/All2018/29 https://digitalcommons.usu.edu/cgi/viewcontent.cgi?article=1616&context=researchweek unknown DigitalCommons@USU https://digitalcommons.usu.edu/researchweek/ResearchWeek2018/All2018/29 https://digitalcommons.usu.edu/cgi/viewcontent.cgi?article=1616&context=researchweek Student Research Symposium text 2018 ftutahsudc 2022-03-07T21:42:30Z An all-sky IR camera placed at McMurdo, Antarctica (77˚83' S, 166˚61' E) took one picture every ten seconds for the months of April through September in 2012 and 2013. The data was first visually analyzed to distinguish clear sky periods of at least four hours. The best nights were selected to run through a series of software analyses. First, the background stars were removed from the images. Second, a mean image was created for the night. Third, the images were flat fielded, calibrated, and unwarped. These steps prepared the data to be input into a 3D spectral analysis IDL program (Matsuda, et al., 2014), which output graphs quantifying horizontal phase velocity distributions of gravity waves over Antarctica. The graphs could then be analyzed to determine any correlation between gravity wave events. Text Antarc* Antarctica Utah State University: DigitalCommons@USU |
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Utah State University: DigitalCommons@USU |
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An all-sky IR camera placed at McMurdo, Antarctica (77˚83' S, 166˚61' E) took one picture every ten seconds for the months of April through September in 2012 and 2013. The data was first visually analyzed to distinguish clear sky periods of at least four hours. The best nights were selected to run through a series of software analyses. First, the background stars were removed from the images. Second, a mean image was created for the night. Third, the images were flat fielded, calibrated, and unwarped. These steps prepared the data to be input into a 3D spectral analysis IDL program (Matsuda, et al., 2014), which output graphs quantifying horizontal phase velocity distributions of gravity waves over Antarctica. The graphs could then be analyzed to determine any correlation between gravity wave events. |
format |
Text |
author |
Wrobel, America |
spellingShingle |
Wrobel, America Atmospheric Gravity Wave Events in Antarctica |
author_facet |
Wrobel, America |
author_sort |
Wrobel, America |
title |
Atmospheric Gravity Wave Events in Antarctica |
title_short |
Atmospheric Gravity Wave Events in Antarctica |
title_full |
Atmospheric Gravity Wave Events in Antarctica |
title_fullStr |
Atmospheric Gravity Wave Events in Antarctica |
title_full_unstemmed |
Atmospheric Gravity Wave Events in Antarctica |
title_sort |
atmospheric gravity wave events in antarctica |
publisher |
DigitalCommons@USU |
publishDate |
2018 |
url |
https://digitalcommons.usu.edu/researchweek/ResearchWeek2018/All2018/29 https://digitalcommons.usu.edu/cgi/viewcontent.cgi?article=1616&context=researchweek |
genre |
Antarc* Antarctica |
genre_facet |
Antarc* Antarctica |
op_source |
Student Research Symposium |
op_relation |
https://digitalcommons.usu.edu/researchweek/ResearchWeek2018/All2018/29 https://digitalcommons.usu.edu/cgi/viewcontent.cgi?article=1616&context=researchweek |
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1766202784701480960 |