Aerosol pattern changes over the dead sea from west to east - Using high-resolution satellite data

Sever, Lee; Alpert, Pinhas; Alexandra, Chudnovsky A.

doi:10.1016/j.atmosenv.2020.117737

Cited by 7 publications

(2 citation statements)

References 42 publications

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“…The Multi-Angle Implementation of Atmospheric Correction (MAIAC) algorithm [21], applied to the Moderate Resolution Imaging Spectroradiometer (MODIS) level 1B landsurface radiances generated for a global 1 km resolution sinusoidal grid, is widely used in air quality and epidemiological studies, due to its high 1 km resolution and improved retrieval capability over urban areas. The MAIAC AOD has been evaluated over a few geographical regions such as North America [22,23] South America [24], South Asia [25], Europe [26][27][28], the Black Sea, arid areas of the Dead Sea [29], the alpine region [30] and Australia [31]. Some studies suggest that the algorithm may exhibit a negative bias in desert areas of Western China, while a positive bias has been reported for low-moderate aerosol loading in East China [32,33].…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2023

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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.

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Section: Introductionmentioning

confidence: 99%

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

et al. 2023

View full text Add to dashboard Cite

show abstract

“…The Multi-Angle Implementation of Atmospheric Correction (MAIAC) algorithm [21], applied to the Moderate Resolution Imaging Spectroradiometer (MODIS) level 1B land-surface radiances generated for a global 1 km resolution sinusoidal grid, is widely used in air quality and epidemiological studies due to its high 1 km resolution and lack of "urban" bias. The MAIAC AOD has been evaluated over a few geographical regions such as North America [22][23] and South America [24], South Asia [25], and Europe ([26]- [28], the Black Sea, arid areas of the Dead sea [29], the alpine region [30] and Australia [31]. Some studies suggest that the algorithm may be systematically underestimated in desert areas of Western China and exhibit a positive bias at lowmoderate aerosol loading in eastern China [32] [33].…”

Section: Introductionmentioning

confidence: 99%

Variation of Aerosol Optical Properties and Trends over Cluj-Napoca, Romania, Based on 10 Years of AERONET Data and Satellite-Based Observations

Ştefănie¹,

Radovici²,

Mereuta³

et al. 2023

Preprint

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Aerosols play an important role in Earth’s climate system, thus long time ground based measurements of aerosol optical properties are useful in understanding this role. 10 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 Ångström exponent obtained by 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. Ångström 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 10 years period.

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Monitoring Air Pollution in the Urban Environment by Remote Sensing

Chudnovsky

2021

Urban Remote Sensing

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Aerosol pattern changes over the dead sea from west to east - Using high-resolution satellite data

Cited by 7 publications

References 42 publications

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

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

Variation of Aerosol Optical Properties and Trends over Cluj-Napoca, Romania, Based on 10 Years of AERONET Data and Satellite-Based Observations

Monitoring Air Pollution in the Urban Environment by Remote Sensing

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