The Sensitivity of Polar Mesospheric Clouds to Mesospheric Temperature and Water Vapor
Polar mesospheric cloud (PMC) data obtained from the Aeronomy of Ice in the Mesosphere (AIM)/Cloud Imaging and Particle Size (CIPS) experiment and Himawari-8/Advanced Himawari Imager (AHI) observations are analyzed for multi-year climatology and interannual variations. Linkages between PMCs, mesosph...
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Online Access: | https://hdl.handle.net/10919/118954 https://doi.org/10.3390/rs16091563 |
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ftvirginiatec:oai:vtechworks.lib.vt.edu:10919/118954 2024-06-09T07:41:05+00:00 The Sensitivity of Polar Mesospheric Clouds to Mesospheric Temperature and Water Vapor Remote Sensing Lee, Jae N. Wu, Dong L. Thurairajah, Brentha Hozumi, Yuta Tsuda, Takuo 2024-04-28 application/pdf https://hdl.handle.net/10919/118954 https://doi.org/10.3390/rs16091563 en eng MDPI Lee, J.N.; Wu, D.L.; Thurairajah, B.; Hozumi, Y.; Tsuda, T. The Sensitivity of Polar Mesospheric Clouds to Mesospheric Temperature and Water Vapor. Remote Sens. 2024, 16, 1563. https://hdl.handle.net/10919/118954 https://doi.org/10.3390/rs16091563 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ Article - Refereed Text 2024 ftvirginiatec https://doi.org/10.3390/rs16091563 2024-05-14T23:40:53Z Polar mesospheric cloud (PMC) data obtained from the Aeronomy of Ice in the Mesosphere (AIM)/Cloud Imaging and Particle Size (CIPS) experiment and Himawari-8/Advanced Himawari Imager (AHI) observations are analyzed for multi-year climatology and interannual variations. Linkages between PMCs, mesospheric temperature, and water vapor (H 2 O) are further investigated with data from the Microwave Limb Sounder (MLS). Our analysis shows that PMC onset date and occurrence rate are strongly dependent on the atmospheric environment, i.e., the underlying seasonal behavior of temperature and water vapor. Upper-mesospheric dehydration by PMCs is evident in the MLS water vapor observations. The spatial patterns of the depleted water vapor correspond to the PMC occurrence region over the Arctic and Antarctic during the days after the summer solstice. The year-to-year variabilities in PMC occurrence rates and onset dates are highly correlated with mesospheric temperature and H 2 O. They show quasi-quadrennial oscillation (QQO) with 45-year periods, particularly in the southern hemisphere (SH). The combined influence of mesospheric cooling and the mesospheric H 2 O increase provides favorable conditions for PMC formation. The global increase in mesospheric H 2 O during the last decade may explain the increased PMC occurrence in the northern hemisphere (NH). Although mesospheric temperature and H 2 O exhibit a strong 11-year variation, little solar cycle signatures are found in the PMC occurrence during 20072021. Published version Article in Journal/Newspaper Antarc* Antarctic Arctic VTechWorks (VirginiaTech) Antarctic Arctic Remote Sensing 16 9 1563 |
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Open Polar |
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VTechWorks (VirginiaTech) |
op_collection_id |
ftvirginiatec |
language |
English |
description |
Polar mesospheric cloud (PMC) data obtained from the Aeronomy of Ice in the Mesosphere (AIM)/Cloud Imaging and Particle Size (CIPS) experiment and Himawari-8/Advanced Himawari Imager (AHI) observations are analyzed for multi-year climatology and interannual variations. Linkages between PMCs, mesospheric temperature, and water vapor (H 2 O) are further investigated with data from the Microwave Limb Sounder (MLS). Our analysis shows that PMC onset date and occurrence rate are strongly dependent on the atmospheric environment, i.e., the underlying seasonal behavior of temperature and water vapor. Upper-mesospheric dehydration by PMCs is evident in the MLS water vapor observations. The spatial patterns of the depleted water vapor correspond to the PMC occurrence region over the Arctic and Antarctic during the days after the summer solstice. The year-to-year variabilities in PMC occurrence rates and onset dates are highly correlated with mesospheric temperature and H 2 O. They show quasi-quadrennial oscillation (QQO) with 45-year periods, particularly in the southern hemisphere (SH). The combined influence of mesospheric cooling and the mesospheric H 2 O increase provides favorable conditions for PMC formation. The global increase in mesospheric H 2 O during the last decade may explain the increased PMC occurrence in the northern hemisphere (NH). Although mesospheric temperature and H 2 O exhibit a strong 11-year variation, little solar cycle signatures are found in the PMC occurrence during 20072021. Published version |
format |
Article in Journal/Newspaper |
author |
Lee, Jae N. Wu, Dong L. Thurairajah, Brentha Hozumi, Yuta Tsuda, Takuo |
spellingShingle |
Lee, Jae N. Wu, Dong L. Thurairajah, Brentha Hozumi, Yuta Tsuda, Takuo The Sensitivity of Polar Mesospheric Clouds to Mesospheric Temperature and Water Vapor |
author_facet |
Lee, Jae N. Wu, Dong L. Thurairajah, Brentha Hozumi, Yuta Tsuda, Takuo |
author_sort |
Lee, Jae N. |
title |
The Sensitivity of Polar Mesospheric Clouds to Mesospheric Temperature and Water Vapor |
title_short |
The Sensitivity of Polar Mesospheric Clouds to Mesospheric Temperature and Water Vapor |
title_full |
The Sensitivity of Polar Mesospheric Clouds to Mesospheric Temperature and Water Vapor |
title_fullStr |
The Sensitivity of Polar Mesospheric Clouds to Mesospheric Temperature and Water Vapor |
title_full_unstemmed |
The Sensitivity of Polar Mesospheric Clouds to Mesospheric Temperature and Water Vapor |
title_sort |
sensitivity of polar mesospheric clouds to mesospheric temperature and water vapor |
publisher |
MDPI |
publishDate |
2024 |
url |
https://hdl.handle.net/10919/118954 https://doi.org/10.3390/rs16091563 |
geographic |
Antarctic Arctic |
geographic_facet |
Antarctic Arctic |
genre |
Antarc* Antarctic Arctic |
genre_facet |
Antarc* Antarctic Arctic |
op_relation |
Lee, J.N.; Wu, D.L.; Thurairajah, B.; Hozumi, Y.; Tsuda, T. The Sensitivity of Polar Mesospheric Clouds to Mesospheric Temperature and Water Vapor. Remote Sens. 2024, 16, 1563. https://hdl.handle.net/10919/118954 https://doi.org/10.3390/rs16091563 |
op_rights |
Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/rs16091563 |
container_title |
Remote Sensing |
container_volume |
16 |
container_issue |
9 |
container_start_page |
1563 |
_version_ |
1801369508405837824 |