Leveraging meteorological radars to investigate the influence of atmospheric dynamics on snowfall microphysics

Precipitation is the result of a chain of meteorological processes ranging from the large- to the micro-scale. While the transport of moisture and lifting mechanisms leading to cloud formation are mostly governed by dynamical processes, the formation and growth of hydrometeors are ultimately determi...

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Main Author: Gehring, Josué Etienne
Format: Text
Language:English
Published: Lausanne, EPFL 2021
Subjects:
Online Access:https://doi.org/10.5075/epfl-thesis-8588
https://infoscience.epfl.ch/record/287934/files/EPFL_TH8588.pdf
http://infoscience.epfl.ch/record/287934
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spelling ftinfoscience:oai:infoscience.epfl.ch:287934 2023-05-15T13:44:32+02:00 Leveraging meteorological radars to investigate the influence of atmospheric dynamics on snowfall microphysics Gehring, Josué Etienne 2021-08-19T06:27:04Z https://doi.org/10.5075/epfl-thesis-8588 https://infoscience.epfl.ch/record/287934/files/EPFL_TH8588.pdf http://infoscience.epfl.ch/record/287934 eng eng Lausanne, EPFL doi:10.5075/epfl-thesis-8588 https://infoscience.epfl.ch/record/287934/files/EPFL_TH8588.pdf http://infoscience.epfl.ch/record/287934 http://infoscience.epfl.ch/record/287934 Text 2021 ftinfoscience https://doi.org/10.5075/epfl-thesis-8588 2023-02-13T23:06:18Z Precipitation is the result of a chain of meteorological processes ranging from the large- to the micro-scale. While the transport of moisture and lifting mechanisms leading to cloud formation are mostly governed by dynamical processes, the formation and growth of hydrometeors are ultimately determined by microphysical processes. A proper understanding of the complex interactions between atmospheric dynamics and microphysics is of paramount importance to accurately forecast precipitation. In particular, snowfall microphysics is greatly influenced by dynamical processes, such as turbulence and updraughts. Yet, the impact of atmospheric dynamics on snowfall microphysics remains poorly understood. In this thesis, meteorological radars and atmospheric models are combined to investigate how dynamical processes can influence snowfall microphysics. We exploit the synergies between measurements collected with an X-band polarimetric radar (named MXPol), a W-band Doppler radar, and a multi-angle snowflake camera (MASC). Hydrometeor classifications are used to identify the key microphysical processes at play. The objectives of this thesis are twofold: (i) collect data on clouds and precipitation during two field campaigns in South Korea and Antarctica, and (ii) leverage this data to investigate how dynamical processes influenced the microphysics of two snowfall events. First, a 4-month dataset of ground-based radar and in situ measurements collected in South Korea is presented. The dataset includes 9 precipitation events with a total accumulation of 195 mm of equivalent liquid precipitation. Second, measurements of clouds and precipitation during a 3-month campaign at Davis station, Antarctica are introduced. Altogether, both datasets collected during this thesis represent an opportunity to study snowfall microphysics thanks to the complementarity of Doppler radar data and snowflake photographs in two regions where such measurements were not available before. The second part of this thesis is devoted to case studies of two ... Text Antarc* Antarctica EPFL Infoscience (Ecole Polytechnique Fédérale Lausanne) Davis Station ENVELOPE(77.968,77.968,-68.576,-68.576) Davis-Station ENVELOPE(77.968,77.968,-68.576,-68.576)
institution Open Polar
collection EPFL Infoscience (Ecole Polytechnique Fédérale Lausanne)
op_collection_id ftinfoscience
language English
description Precipitation is the result of a chain of meteorological processes ranging from the large- to the micro-scale. While the transport of moisture and lifting mechanisms leading to cloud formation are mostly governed by dynamical processes, the formation and growth of hydrometeors are ultimately determined by microphysical processes. A proper understanding of the complex interactions between atmospheric dynamics and microphysics is of paramount importance to accurately forecast precipitation. In particular, snowfall microphysics is greatly influenced by dynamical processes, such as turbulence and updraughts. Yet, the impact of atmospheric dynamics on snowfall microphysics remains poorly understood. In this thesis, meteorological radars and atmospheric models are combined to investigate how dynamical processes can influence snowfall microphysics. We exploit the synergies between measurements collected with an X-band polarimetric radar (named MXPol), a W-band Doppler radar, and a multi-angle snowflake camera (MASC). Hydrometeor classifications are used to identify the key microphysical processes at play. The objectives of this thesis are twofold: (i) collect data on clouds and precipitation during two field campaigns in South Korea and Antarctica, and (ii) leverage this data to investigate how dynamical processes influenced the microphysics of two snowfall events. First, a 4-month dataset of ground-based radar and in situ measurements collected in South Korea is presented. The dataset includes 9 precipitation events with a total accumulation of 195 mm of equivalent liquid precipitation. Second, measurements of clouds and precipitation during a 3-month campaign at Davis station, Antarctica are introduced. Altogether, both datasets collected during this thesis represent an opportunity to study snowfall microphysics thanks to the complementarity of Doppler radar data and snowflake photographs in two regions where such measurements were not available before. The second part of this thesis is devoted to case studies of two ...
format Text
author Gehring, Josué Etienne
spellingShingle Gehring, Josué Etienne
Leveraging meteorological radars to investigate the influence of atmospheric dynamics on snowfall microphysics
author_facet Gehring, Josué Etienne
author_sort Gehring, Josué Etienne
title Leveraging meteorological radars to investigate the influence of atmospheric dynamics on snowfall microphysics
title_short Leveraging meteorological radars to investigate the influence of atmospheric dynamics on snowfall microphysics
title_full Leveraging meteorological radars to investigate the influence of atmospheric dynamics on snowfall microphysics
title_fullStr Leveraging meteorological radars to investigate the influence of atmospheric dynamics on snowfall microphysics
title_full_unstemmed Leveraging meteorological radars to investigate the influence of atmospheric dynamics on snowfall microphysics
title_sort leveraging meteorological radars to investigate the influence of atmospheric dynamics on snowfall microphysics
publisher Lausanne, EPFL
publishDate 2021
url https://doi.org/10.5075/epfl-thesis-8588
https://infoscience.epfl.ch/record/287934/files/EPFL_TH8588.pdf
http://infoscience.epfl.ch/record/287934
long_lat ENVELOPE(77.968,77.968,-68.576,-68.576)
ENVELOPE(77.968,77.968,-68.576,-68.576)
geographic Davis Station
Davis-Station
geographic_facet Davis Station
Davis-Station
genre Antarc*
Antarctica
genre_facet Antarc*
Antarctica
op_source http://infoscience.epfl.ch/record/287934
op_relation doi:10.5075/epfl-thesis-8588
https://infoscience.epfl.ch/record/287934/files/EPFL_TH8588.pdf
http://infoscience.epfl.ch/record/287934
op_doi https://doi.org/10.5075/epfl-thesis-8588
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