Retrieval of aerosol microphysical propreties from lidar data

Aerosols are a significant component of the atmosphere. The full understanding of their effects on climate, air quality, and human health requires retrieving their microphysical properties. Studying these characteristics is fundamental to forecasting and minimizing aerosols' environmental impac...

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Detalles Bibliográficos
Autor: Gilè, Carlotta
Tipo de recurso: tesis de maestría
Fecha de publicación:2024
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/423145
Acceso en línea:https://hdl.handle.net/2117/423145
Access Level:acceso abierto
Palabra clave:Atmospheric aerosols
Air quality
Remote sensing
aerosol microphysical properties
BOREAL
lidar measurements
decision tree
Aire -- Qualitat
Teledetecció
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció
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spelling Retrieval of aerosol microphysical propreties from lidar dataGilè, CarlottaAtmospheric aerosolsAir qualityRemote sensingaerosol microphysical propertiesBOREALlidar measurementsdecision treeAtmospheric aerosolsAire -- QualitatTeledeteccióÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::TeledeteccióAerosols are a significant component of the atmosphere. The full understanding of their effects on climate, air quality, and human health requires retrieving their microphysical properties. Studying these characteristics is fundamental to forecasting and minimizing aerosols' environmental impacts. This thesis represents the first attempt to retrieve range-resolved aerosol microphysical properties using lidar-only data at Universitat Politècnica de Catalunya. We undertake an investigation into the Basic Algorithm for REtrieval of Aerosol with Lidar (BOREAL), developed at the University of Lille, focusing on its applicability to common aerosols in the Mediterranean area, such as Saharan Dust. The algorithm's performance is assessed through an exploratory analysis that aims to explore the influence of various input parameters on its accuracy. Furthermore, the research compares BOREAL's results with those of an established inversion algorithm (AERONET), offering new insights into the retrieval process. These findings contribute to a deeper understanding of aerosol characterization and lay the framework for BOREAL's future use in aerosol studies.Universitat Politècnica de CatalunyaComerón Tejero, AdolfoRodríguez Gómez, Alejandro AntonioChang, Yuyang20242024-09-0920252025-01-31master thesishttp://purl.org/coar/resource_type/c_bdccNAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/masterThesisapplication/pdfhttps://hdl.handle.net/2117/423145reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/4231452026-05-27T15:37:01Z
dc.title.none.fl_str_mv Retrieval of aerosol microphysical propreties from lidar data
title Retrieval of aerosol microphysical propreties from lidar data
spellingShingle Retrieval of aerosol microphysical propreties from lidar data
Gilè, Carlotta
Atmospheric aerosols
Air quality
Remote sensing
aerosol microphysical properties
BOREAL
lidar measurements
decision tree
Atmospheric aerosols
Aire -- Qualitat
Teledetecció
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció
title_short Retrieval of aerosol microphysical propreties from lidar data
title_full Retrieval of aerosol microphysical propreties from lidar data
title_fullStr Retrieval of aerosol microphysical propreties from lidar data
title_full_unstemmed Retrieval of aerosol microphysical propreties from lidar data
title_sort Retrieval of aerosol microphysical propreties from lidar data
dc.creator.none.fl_str_mv Gilè, Carlotta
author Gilè, Carlotta
author_facet Gilè, Carlotta
author_role author
dc.contributor.none.fl_str_mv Comerón Tejero, Adolfo
Rodríguez Gómez, Alejandro Antonio
Chang, Yuyang
dc.subject.none.fl_str_mv Atmospheric aerosols
Air quality
Remote sensing
aerosol microphysical properties
BOREAL
lidar measurements
decision tree
Atmospheric aerosols
Aire -- Qualitat
Teledetecció
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció
topic Atmospheric aerosols
Air quality
Remote sensing
aerosol microphysical properties
BOREAL
lidar measurements
decision tree
Atmospheric aerosols
Aire -- Qualitat
Teledetecció
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció
description Aerosols are a significant component of the atmosphere. The full understanding of their effects on climate, air quality, and human health requires retrieving their microphysical properties. Studying these characteristics is fundamental to forecasting and minimizing aerosols' environmental impacts. This thesis represents the first attempt to retrieve range-resolved aerosol microphysical properties using lidar-only data at Universitat Politècnica de Catalunya. We undertake an investigation into the Basic Algorithm for REtrieval of Aerosol with Lidar (BOREAL), developed at the University of Lille, focusing on its applicability to common aerosols in the Mediterranean area, such as Saharan Dust. The algorithm's performance is assessed through an exploratory analysis that aims to explore the influence of various input parameters on its accuracy. Furthermore, the research compares BOREAL's results with those of an established inversion algorithm (AERONET), offering new insights into the retrieval process. These findings contribute to a deeper understanding of aerosol characterization and lay the framework for BOREAL's future use in aerosol studies.
publishDate 2024
dc.date.none.fl_str_mv 2024
2024-09-09
2025
2025-01-31
dc.type.none.fl_str_mv master thesis
http://purl.org/coar/resource_type/c_bdcc
NA
http://purl.org/coar/version/c_be7fb7dd8ff6fe43
dc.type.openaire.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/423145
url https://hdl.handle.net/2117/423145
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universitat Politècnica de Catalunya
publisher.none.fl_str_mv Universitat Politècnica de Catalunya
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,30052

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