Satellite AOD conversion into ground PM10, PM2.5 and PM1 over the Po valley (Milan, Italy) exploiting information on aerosol vertical profiles, chemistry, hygroscopicity and meteorology

Ferrero, Luca; Riccio, Angelo; Ferrini, B; D'Angelo, L; Rovelli, Grazia; Casati, Marco; Angelini, F.; Barnaba, Francesca; Gobbi, Gian Paolo; Cataldi, Marco; Bolzacchini, Ezio

doi:10.1016/j.apr.2019.08.003

Cited by 32 publications

(18 citation statements)

References 102 publications

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“…The first TECORA SkyPost collected PM 10 sampled for 24 h on Teflon filters (Pall R2PJ047). The PM10 collection efficiency is reported and described in Ferrero et al [8]. Here, we briefly resume the concept and we refer to the above quoted publication.…”

Section: Ground-based Datamentioning

confidence: 96%

“…PM 10 , which is usually described as the mass concentration of PM having aerodynamic diameters below 10 µm, is more precisely defined as the mass concentration of the PM collected with a~50% efficiency at 10 µm of aerodynamic diameter following the European/EPA regulations. As the collection efficiency represents the probability that a particle would be collected onto the filter, PM 10 may contain particles larger than the 'cut off' aerodynamic diameter of 10 µm as reported in Ferrero et al [8]. They were conditioned for 48 h (at 25 • C and 50% relative humidity) before and after the sampling.…”

Section: Ground-based Datamentioning

confidence: 99%

“…Finally, all of these parameters have been supported by the additional data, such as optical thickness of clouds, satellite AOD, cloud fraction from MODIS (moderate resolution imaging spectroradiometer), which widely used for analyzing the aerosol distributions from regional to global scales [70]. The MODIS sensors take~5 min to collect a~2300 km scene during the overpass [8,71] that, occurs two timed a day (~10.30 and~13.30) above Svalbard region. MODIS data are gridded for aerosol particles to a 10 × 10 km resolution, while for clouds, to a 5 × 5 km resolution.…”

Section: Columnar Integrated Datamentioning

confidence: 99%

“…The chemical composition and the optical properties of BB aerosols depend not only on the type of forest burned, but also on the environmental conditions in which combustion takes place [4,5]. Generally, organics and black carbon are the two main BB aerosol components followed by sulphate, ammonium, nitrate and chloride [6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

“…Biomass burning aerosols are responsible for many environmental issues [1]. They have serious influence on human health and due to their optical properties and consequent impact on radiation budget, BB aerosols affect the planet climate [7][8][9][10][11][12][13][14][15][16]. These aerosol particles may both absorb and scatter solar radiation, thus play a key role both in modifying atmospheric visibility and photochemistry in the boundary layer [17,18] and they can act as cloud condensation nuclei [19][20][21].…”

Section: Introductionmentioning

confidence: 99%

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Study of Chemical and Optical Properties of Biomass Burning Aerosols during Long-Range Transport Events toward the Arctic in Summer 2017

et al. 2020

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Biomass burning related aerosol episodes are becoming a serious threat to the radiative balance of the Arctic region. Since early July 2017 intense wildfires were recorded between August and September in Canada and Greenland, covering an area up to 4674 km2 in size. This paper describes the impact of these biomass burning (BB) events measured over Svalbard, using an ensemble of ground-based, columnar, and vertically-resolved techniques. BB influenced the aerosol chemistry via nitrates and oxalates, which exhibited an increase in their concentrations in all of size fractions, indicating the BB origin of particles. The absorption coefficient data (530 nm) at ground reached values up to 0.6 Mm–1, highlighting the impact of these BB events when compared to average Arctic background values, which do not exceed 0.05 Mm–1. The absorption behavior is fundamental as implies a subsequent atmospheric heating. At the same time, the AERONET Aerosol Optical Depth (AOD) data showed high values at stations located close to or in Canada (AOD over 2.0). Similarly, increased values of AODs were then observed in Svalbard, e.g., in Hornsund (daily average AODs exceeded 0.14 and reached hourly values up to 0.5). Elevated values of AODs were then registered in Sodankylä and Andenes (daily average AODs exceeding 0.150) a few days after the Svalbard observation of the event highlighting the BB columnar magnitude, which is crucial for the radiative impact. All the reported data suggest to rank the summer 2017 plume of aerosols as one of the biggest atmosphere related environmental problems over Svalbard region in last 10 years.

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Section: Ground-based Datamentioning

confidence: 96%

Section: Ground-based Datamentioning

confidence: 99%

Section: Columnar Integrated Datamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Study of Chemical and Optical Properties of Biomass Burning Aerosols during Long-Range Transport Events toward the Arctic in Summer 2017

et al. 2020

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The synoptic skill of aerosol optical depth and angstrom exponent levels over the Mediterranean Basin

Bodenheimer

Nirel

Lensky

et al. 2020

Intl Journal of Climatology

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North African desert dust is the dominant aerosol type transported over the Mediterranean Basin (MB), followed by marine, anthropogenic, and biomass‐burning aerosol types. This basin is characterized by intense synoptic scale activity that has a substantial impact on the distribution of aerosols. A climatological research at a spatial resolution of 1° × 1° over the MB for the years 2000–2016 is presented here. We used a circulation to environment approach to examine the linkage between three objective circulation type classifications (CTCs) and two outcomes: aerosol optical depth (AOD) and Angstrom exponent (AE). This linkage, hereafter referred to as the ‘synoptic skill’, was assessed using tailored autoregressive linear regression and logistic models. We calculated (a) the total synoptic skill, accounting for the contribution of synoptic circulation type and the autoregressive components to AOD variability, and (b) the net synoptic skill, reflecting the contribution of the circulation type only. This novel approach enabled to differentiate between AOD distribution as controlled by the prevailing synoptic conditions to the one affected by climatic diurnal processes. Results for AOD showed maximal total synoptic skill during fall and summer (R2 ∼ 0.3) with highest values over parts of North Africa and the Middle East (R2 > 0.4). The net synoptic skill was highest (R2 ∼ 0.1) during winter and lowest (R2 ∼ 0.05) during summer. Geographic distribution showed low net values over North Africa and the Middle East (R2 < 0.06) and higher values over the Mediterranean Sea (R2 ∼ 0.1). For AE, the synoptic skill had a significant signature over Southern Europe during winter months (c‐statistic > 0.8). No single classification was superior in terms of mean synoptic skill, although for specific seasons and geographical locations one or the other of the three classifications showed higher performance. This study reflects some more evidences on the net contribution of CTCs to the distribution of AOD and AE over the MB.

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PM2.5 and PM10 Concentration Estimation Based on the Top-of-Atmosphere Reflectance

Zhang

Hao

2021

Wireless Algorithms, Systems, and Applications

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Satellite AOD conversion into ground PM10, PM2.5 and PM1 over the Po valley (Milan, Italy) exploiting information on aerosol vertical profiles, chemistry, hygroscopicity and meteorology

Cited by 32 publications

References 102 publications

Study of Chemical and Optical Properties of Biomass Burning Aerosols during Long-Range Transport Events toward the Arctic in Summer 2017

Study of Chemical and Optical Properties of Biomass Burning Aerosols during Long-Range Transport Events toward the Arctic in Summer 2017

The synoptic skill of aerosol optical depth and angstrom exponent levels over the Mediterranean Basin

PM2.5 and PM10 Concentration Estimation Based on the Top-of-Atmosphere Reflectance

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