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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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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1772184749191725056 |