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://doi.org/10.3390/rs16091563 https://doaj.org/article/bbaf5c470d0f4a0196927a7b49b1a4f4 |
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ftdoajarticles:oai:doaj.org/article:bbaf5c470d0f4a0196927a7b49b1a4f4 2024-09-09T19:03:27+00:00 The Sensitivity of Polar Mesospheric Clouds to Mesospheric Temperature and Water Vapor Jae N. Lee Dong L. Wu Brentha Thurairajah Yuta Hozumi Takuo Tsuda 2024-04-01T00:00:00Z https://doi.org/10.3390/rs16091563 https://doaj.org/article/bbaf5c470d0f4a0196927a7b49b1a4f4 EN eng MDPI AG https://www.mdpi.com/2072-4292/16/9/1563 https://doaj.org/toc/2072-4292 doi:10.3390/rs16091563 2072-4292 https://doaj.org/article/bbaf5c470d0f4a0196927a7b49b1a4f4 Remote Sensing, Vol 16, Iss 9, p 1563 (2024) polar mesospheric clouds water vapor temperature mesosphere Science Q article 2024 ftdoajarticles https://doi.org/10.3390/rs16091563 2024-08-05T17:49:24Z 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 4–5-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 2007–2021. Article in Journal/Newspaper Antarc* Antarctic Arctic Directory of Open Access Journals: DOAJ Articles Antarctic Arctic Remote Sensing 16 9 1563 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
polar mesospheric clouds water vapor temperature mesosphere Science Q |
spellingShingle |
polar mesospheric clouds water vapor temperature mesosphere Science Q Jae N. Lee Dong L. Wu Brentha Thurairajah Yuta Hozumi Takuo Tsuda The Sensitivity of Polar Mesospheric Clouds to Mesospheric Temperature and Water Vapor |
topic_facet |
polar mesospheric clouds water vapor temperature mesosphere Science Q |
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 4–5-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 2007–2021. |
format |
Article in Journal/Newspaper |
author |
Jae N. Lee Dong L. Wu Brentha Thurairajah Yuta Hozumi Takuo Tsuda |
author_facet |
Jae N. Lee Dong L. Wu Brentha Thurairajah Yuta Hozumi Takuo Tsuda |
author_sort |
Jae N. Lee |
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 AG |
publishDate |
2024 |
url |
https://doi.org/10.3390/rs16091563 https://doaj.org/article/bbaf5c470d0f4a0196927a7b49b1a4f4 |
geographic |
Antarctic Arctic |
geographic_facet |
Antarctic Arctic |
genre |
Antarc* Antarctic Arctic |
genre_facet |
Antarc* Antarctic Arctic |
op_source |
Remote Sensing, Vol 16, Iss 9, p 1563 (2024) |
op_relation |
https://www.mdpi.com/2072-4292/16/9/1563 https://doaj.org/toc/2072-4292 doi:10.3390/rs16091563 2072-4292 https://doaj.org/article/bbaf5c470d0f4a0196927a7b49b1a4f4 |
op_doi |
https://doi.org/10.3390/rs16091563 |
container_title |
Remote Sensing |
container_volume |
16 |
container_issue |
9 |
container_start_page |
1563 |
_version_ |
1809817461597405184 |