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dc.contributor.advisorMann, Ingrid
dc.contributor.authorJozwicki, Dorota Sofia
dc.date.accessioned2025-02-06T10:08:36Z
dc.date.available2025-02-06T10:08:36Z
dc.date.issued2025-02-21
dc.description.abstract<p>Understanding the influence of the Sun and space on the Earth's atmosphere is of current interest, as it may be valuable in the context of global climate change research. Polar Mesospheric Summer Echoes (PMSE) are phenomenona that rely on the presence of ice particles, offering insights into the mesosphere's temperature and water vapor content. This thesis aimed to investigate PMSE in the upper atmosphere using the EISCAT VHF radar data, with a focus on quantifying PMSE multilayers during solar maximum and solar minimum. <p>To achieve this, a random forests-based model was used to segment PMSE data within the radar observations. This model allowed for a finer exploration of PMSE multilayers and was applied to investigate the multi-layered PMSE structures during different phases of the solar cycle, and under varying ionospheric conditions. <p>The output of the model enabled segmentation of PMSE data with reduced back-scattered power threshold filtering, preserving a larger number of valuable data points compared to previous studies. This approach enabled the examination of both monolayer and multilayer PMSE structures in finer detail. Notably, during solar maximum, PMSE demonstrated higher average altitude, echo power, and layer thickness compared to solar minimum. Analysis of individual layers in multilayer sets shows that the altitude of the first, second, and third highest layers increases with the number of layers. Additionally, the altitude of the the lowest layer generally matched with the altitude of noctilucent clouds (NLC), as reported by observers. These clouds are visible due to light scattering off their ice particles. Furthermore, a positive correlation between echo power and ionospheric electron density at 92 km altitude above PMSE was observed. This indicates that higher electron densities might be essential for the observation of multi-layered PMSE. <p>Looking ahead, future studies could explore the links between multi-layered PMSE formation, winds, and gravity waves. Future research could also focus on investigating mean altitudes of different multilayers by utilizing different radars or operating modes offering better resolution within the 80 to 90 km altitude range. Additionally, extending the data analysis to include more EISCAT data of more than one solar cycle to analyse possible trends could provide further insights into PMSE. The analysis tools that emerged from this work can be used for examining many more hours of EISCAT observations.en_US
dc.description.doctoraltypeph.d.en_US
dc.description.popularabstractUnderstanding the influence of the Sun and space on the Earth's atmosphere is of current interest, as it may be valuable in the context of global climate change research. Polar Mesospheric Summer Echoes (PMSE) are phenomenona that rely on the presence of ice particles, offering insights into the mesosphere's temperature and water vapor content. This thesis aimed to investigate PMSE in the upper atmosphere using the EISCAT VHF radar data, with a focus on quantifying PMSE multilayers during solar maximum and solar minimum. To achieve this, a random forests-based model was used to segment PMSE data within the radar observations. This model allowed for a finer exploration of PMSE multilayers and was applied to investigate the multi-layered PMSE structures during different phases of the solar cycle, and under varying ionospheric conditions. The output of the model enabled segmentation of PMSE data with reduced back-scattered power threshold filtering, preserving a larger number of valuable data points compared to previous studies. This approach enabled the examination of both monolayer and multilayer PMSE structures in finer detail. Notably, during solar maximum, PMSE demonstrated higher average altitude, echo power, and layer thickness compared to solar minimum. Analysis of individual layers in multilayer sets shows that the altitude of the first, second, and third highest layers increases with the number of layers. Additionally, the altitude of the the lowest layer generally matched with the altitude of noctilucent clouds (NLC), as reported by observers. These clouds are visible due to light scattering off their ice particles. Furthermore, a positive correlation between echo power and ionospheric electron density at 92 km altitude above PMSE was observed. This indicates that higher electron densities might be essential for the observation of multi-layered PMSE. Looking ahead, future studies could explore the links between multi-layered PMSE formation, winds, and gravity waves. Future research could also focus on investigating mean altitudes of different multilayers by utilizing different radars or operating modes offering better resolution within the 80 to 90 km altitude range. Additionally, extending the data analysis to include more EISCAT data of more than one solar cycle to analyse possible trends could provide further insights into PMSE. The analysis tools that emerged from this work can be used for examining many more hours of EISCAT observations.en_US
dc.description.sponsorshipThis research has been supported by the Norges Forskningsråd (NFR; grant no. 275503) and the UiT (The Arctic University of Norway) contribution to the EISCAT_3D project funded by the Research Council of Norway through research infrastructure (grant no. 245683).en_US
dc.identifier.isbn978-82-8236-610-6 (printed version)
dc.identifier.isbn978-82-8236-611-3 (electronic/pdf version)
dc.identifier.urihttps://hdl.handle.net/10037/36423
dc.language.isoengen_US
dc.publisherUiT Norges arktiske universiteten_US
dc.publisherUiT The Arctic University of Norwayen_US
dc.relation.haspart<p>Paper I: Jozwicki, D., Sharma, P. & Mann, I. (2021). Investigation of Polar Mesospheric Summer Echoes Using Linear Discriminant Analysis. <i>Remote Sensing, 13</i>(3), 522. Also available in Munin at <a href=https://hdl.handle.net/10037/21701>https://hdl.handle.net/10037/21701</a>. <p>Paper II: Jozwicki, D., Sharma, P., Mann, I. & Hoppe, U.-P. (2022). Segmentation of PMSE Data Using Random Forests. <i>Remote Sensing, 14</i>(13), 2976. Also available in Munin at <a href=https://hdl.handle.net/10037/25561>https://hdl.handle.net/10037/25561</a>. <p>Paper III: Jozwicki, D., Sharma, P., Huyghebaert, D. & Mann, I. (2024). Polar mesospheric summer echo (PMSE) multilayer properties during the solar maximum and solar minimum. <i>Annales Geophysicae, 42</i>(2), 431–453. Also available in Munin at <a href=https://hdl.handle.net/10037/35687>https://hdl.handle.net/10037/35687</a>.en_US
dc.relation.isbasedonI used free open source data from the Madrigal website, which one can find at the following link: <a href=https://eiscat.se/scientist/document/experiments/>https://eiscat.se/scientist/document/experiments/</a>.en_US
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2025 The Author(s)
dc.rights.urihttps://creativecommons.org/licenses/by/4.0en_US
dc.rightsAttribution 4.0 International (CC BY 4.0)en_US
dc.subjectspace physicsen_US
dc.subjectmesosphereen_US
dc.subjectPMSEen_US
dc.subjectmultilayersen_US
dc.subjectsolar cycleen_US
dc.titleInvestigation of Multilayers in Polar Mesospheric Summer Echoesen_US
dc.typeDoctoral thesisen_US
dc.typeDoktorgradsavhandlingen_US


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