Variation of Aerosol Optical Properties over Cluj-Napoca, Romania, Based on 10 Years of AERONET Data and MODIS MAIAC AOD Product

Aerosols play an important role in Earth’s climate system, and thus long-time ground- based measurements of aerosol optical properties are useful in understanding this role. Ten years of quality-assured measurements between 2010 and 2020 are used to investigate the aerosol climatology in the Cluj-Na...

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Published in:Remote Sensing
Main Authors: Horațiu Ioan Ștefănie, Andrei Radovici, Alexandru Mereuță, Viorel Arghiuș, Horia Cămărășan, Dan Costin, Camelia Botezan, Camelia Gînscă, Nicolae Ajtai
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2023
Subjects:
AOD
Q
Online Access:https://doi.org/10.3390/rs15123072
https://doaj.org/article/ca3bb47a15bf4050ab79f297a65d373f
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spelling ftdoajarticles:oai:doaj.org/article:ca3bb47a15bf4050ab79f297a65d373f 2023-07-23T04:12:55+02:00 Variation of Aerosol Optical Properties over Cluj-Napoca, Romania, Based on 10 Years of AERONET Data and MODIS MAIAC AOD Product Horațiu Ioan Ștefănie Andrei Radovici Alexandru Mereuță Viorel Arghiuș Horia Cămărășan Dan Costin Camelia Botezan Camelia Gînscă Nicolae Ajtai 2023-06-01T00:00:00Z https://doi.org/10.3390/rs15123072 https://doaj.org/article/ca3bb47a15bf4050ab79f297a65d373f EN eng MDPI AG https://www.mdpi.com/2072-4292/15/12/3072 https://doaj.org/toc/2072-4292 doi:10.3390/rs15123072 2072-4292 https://doaj.org/article/ca3bb47a15bf4050ab79f297a65d373f Remote Sensing, Vol 15, Iss 3072, p 3072 (2023) aerosols AERONET Cluj-Napoca climatology MAIAC AOD Science Q article 2023 ftdoajarticles https://doi.org/10.3390/rs15123072 2023-07-02T00:37:11Z Aerosols play an important role in Earth’s climate system, and thus long-time ground- based measurements of aerosol optical properties are useful in understanding this role. Ten years of quality-assured measurements between 2010 and 2020 are used to investigate the aerosol climatology in the Cluj-Napoca area, in North-Western Romania. In this study, we analyze the aerosol optical depth (AOD), single scattering albedo (SSA) and angstrom exponent obtained by the CIMEL sun photometer, part of the aerosol robotic network (AERONET), to extract the seasonality of aerosols in the region and investigate the aerosol climatology of the area. Higher aerosol loads are found during July and August. The angstrom exponent has the lowest values in April and May, and the highest in August. The classification of aerosols using AERONET data is performed to separate dust, biomass burning, polluted urban, marine and continental-dominant aerosol mixtures. In addition, the study presents the validation efforts of the Multi-Angle Implementation of Atmospheric Correction (MAIAC) dataset against AERONET AOD over a 10-year period. Article in Journal/Newspaper Aerosol Robotic Network Directory of Open Access Journals: DOAJ Articles Remote Sensing 15 12 3072
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic aerosols
AERONET
Cluj-Napoca
climatology
MAIAC
AOD
Science
Q
spellingShingle aerosols
AERONET
Cluj-Napoca
climatology
MAIAC
AOD
Science
Q
Horațiu Ioan Ștefănie
Andrei Radovici
Alexandru Mereuță
Viorel Arghiuș
Horia Cămărășan
Dan Costin
Camelia Botezan
Camelia Gînscă
Nicolae Ajtai
Variation of Aerosol Optical Properties over Cluj-Napoca, Romania, Based on 10 Years of AERONET Data and MODIS MAIAC AOD Product
topic_facet aerosols
AERONET
Cluj-Napoca
climatology
MAIAC
AOD
Science
Q
description Aerosols play an important role in Earth’s climate system, and thus long-time ground- based measurements of aerosol optical properties are useful in understanding this role. Ten years of quality-assured measurements between 2010 and 2020 are used to investigate the aerosol climatology in the Cluj-Napoca area, in North-Western Romania. In this study, we analyze the aerosol optical depth (AOD), single scattering albedo (SSA) and angstrom exponent obtained by the CIMEL sun photometer, part of the aerosol robotic network (AERONET), to extract the seasonality of aerosols in the region and investigate the aerosol climatology of the area. Higher aerosol loads are found during July and August. The angstrom exponent has the lowest values in April and May, and the highest in August. The classification of aerosols using AERONET data is performed to separate dust, biomass burning, polluted urban, marine and continental-dominant aerosol mixtures. In addition, the study presents the validation efforts of the Multi-Angle Implementation of Atmospheric Correction (MAIAC) dataset against AERONET AOD over a 10-year period.
format Article in Journal/Newspaper
author Horațiu Ioan Ștefănie
Andrei Radovici
Alexandru Mereuță
Viorel Arghiuș
Horia Cămărășan
Dan Costin
Camelia Botezan
Camelia Gînscă
Nicolae Ajtai
author_facet Horațiu Ioan Ștefănie
Andrei Radovici
Alexandru Mereuță
Viorel Arghiuș
Horia Cămărășan
Dan Costin
Camelia Botezan
Camelia Gînscă
Nicolae Ajtai
author_sort Horațiu Ioan Ștefănie
title Variation of Aerosol Optical Properties over Cluj-Napoca, Romania, Based on 10 Years of AERONET Data and MODIS MAIAC AOD Product
title_short Variation of Aerosol Optical Properties over Cluj-Napoca, Romania, Based on 10 Years of AERONET Data and MODIS MAIAC AOD Product
title_full Variation of Aerosol Optical Properties over Cluj-Napoca, Romania, Based on 10 Years of AERONET Data and MODIS MAIAC AOD Product
title_fullStr Variation of Aerosol Optical Properties over Cluj-Napoca, Romania, Based on 10 Years of AERONET Data and MODIS MAIAC AOD Product
title_full_unstemmed Variation of Aerosol Optical Properties over Cluj-Napoca, Romania, Based on 10 Years of AERONET Data and MODIS MAIAC AOD Product
title_sort variation of aerosol optical properties over cluj-napoca, romania, based on 10 years of aeronet data and modis maiac aod product
publisher MDPI AG
publishDate 2023
url https://doi.org/10.3390/rs15123072
https://doaj.org/article/ca3bb47a15bf4050ab79f297a65d373f
genre Aerosol Robotic Network
genre_facet Aerosol Robotic Network
op_source Remote Sensing, Vol 15, Iss 3072, p 3072 (2023)
op_relation https://www.mdpi.com/2072-4292/15/12/3072
https://doaj.org/toc/2072-4292
doi:10.3390/rs15123072
2072-4292
https://doaj.org/article/ca3bb47a15bf4050ab79f297a65d373f
op_doi https://doi.org/10.3390/rs15123072
container_title Remote Sensing
container_volume 15
container_issue 12
container_start_page 3072
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