Particulate Matter at Surface: Northern Italy Monitoring Based on Satellite Remote Sensing, Meteorological Fields, and <i>in-situ</i> Samplings

Nicolantonio, W. Di; Cacciari, Alessandra; Tomasi, Claudio

doi:10.1109/jstars.2009.2033948

Cited by 35 publications

(15 citation statements)

References 26 publications

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“…As can be noted from the parameters presented in Table 9.2, a good agreement is found both for the daily and monthly comparison in the PM 2.5 case, giving evidence of a significant improvement with respect to the previous performances of the method reported in Di Nicolantonio, Cacciari, and Tomasi (2009a) which was characterized by a tendency of satellite-based values to underestimate the PM 2.5 daily and monthly values by nearly 20%. This improvement can be ascribed to the use of ECMWF analysis as boundary conditions in simulating MM5 meteorological hourly field both for the calibration and processing phases, while in the previous analysis NCEP and ECMWF analysis were employed in the two different phases.…”

Section: Vis/nir/swir Multispectral Satellite Observations For Evaluasupporting

confidence: 58%

“…In the recent past, the use of satellite observations for the assessment of AQ has advanced significantly (e.g., Wang and Christopher, 2003;Engel-Cox et al, 2004;Al-Saadi et al, 2005;van Donkelaar, Martin, and Park, 2006;Di Nicolantonio et al, 2007;Gupta and Christopher, 2008;Di Nicolantonio, Cacciari, and Tomasi, 2009a;Di Nicolantonio and Cacciari, 2011). The increase in the capabilities of Earth observation satellites in remote sensing retrieval of anthropogenic and natural aerosols can, in fact, provide very useful information for improving estimates of spatial distribution and transport of PM and, therefore, for estimating population exposure to aerosols.…”

Section: Vis/nir/swir Multispectral Satellite Observations For Evaluamentioning

confidence: 99%

See 1 more Smart Citation

Aerosol and Air Quality

Fuzzi

Gilardoni

Kokhanovsky

et al. 2016

Atmospheric Aerosols

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Section: Vis/nir/swir Multispectral Satellite Observations For Evaluasupporting

confidence: 58%

Section: Vis/nir/swir Multispectral Satellite Observations For Evaluamentioning

confidence: 99%

Aerosol and Air Quality

Fuzzi

Gilardoni

Kokhanovsky

et al. 2016

Atmospheric Aerosols

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“…So far, the use of spaceborne AOT for monitoring of surface PM2.5 has much been focused on the USA and China. Only few studies investigate the feasibility of monitoring particulate pollution in Europe (Kacenelenbogen et al, 2006;Pelletier et al, 2007;DiNicolantonio et al, 2009;Glantz et al, 2009;Schaap et al, 2009). Furthermore, little is known about the applicability of the AOT-to-PM2.5 relationship for rather clean conditions with a PM2.5 concentration lower than 20 mg m .…”

Section: Introductionmentioning

confidence: 99%

Spaceborne observations of low surface aerosol concentrations in the Stockholm region

Tesche¹,

Glantz²,

Johansson

2016

Tellus B: Chemical and Physical Meteorology

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A B S T R A C TThis article investigates the feasibility of using spaceborne observations of aerosol optical thickness (AOT) derived with the Moderate Resolution Imaging Spectroradiometer (MODIS) for monitoring of fine particulate matter (PM2.5) in an environment of low aerosol loading. Previous studies of the AOT-to-PM2.5 relationship benefit from the large range of observed values. The Stockholm region features a comprehensive network of ground-based monitoring stations that generally show PM2.5 values B20 mg m (3 . MODIS AOT at 555 nm is usually B0.20 and in good agreement with ground-based sun photometer observations in this region. We use MODIS Collection 5 AOT data with a horizontal resolution of 10 km )10 km and ground-based in-situ PM2.5 observations to derive an AOT-to-PM2.5 relationship that can be used to estimate fields of PM2.5. This has been carried out with respect to the months from April to September of the period 2000Á2013. Relative average absolute deviations of 33Á55 % (mean of 45 %) are obtained between MODIS-retrieved and ground-based PM2.5. The root mean square error is 0.2159 mg m (3 between retrieved and measured PM2.5. From spaceborne lidar observations, it is found that elevated aerosol layers are generally sparse in the Stockholm region. This favours remote sensing of PM2.5 from space. The deviations found between measured and retrieved PM2.5 are mainly attributed to infrequent situations of inhomogeneous aerosol layering for which column-integrated observations cannot be connected to surface conditions. Using MODIS Collection 6 data with a resolution of 3 km)3 km in a case study actually gives far fewer results than the coarser Collection 5 product. This is explained by the complex geography of the Stockholm region with a coastline and an abundance of lakes, which seems to induce biases in the retrieval of AOT at higher spatial resolution.

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“…A Northern Italy synoptic view of PM 2.5 and PM 10 concentrations is reconstructed 33 from MODIS/Terra and Aqua aerosol level 2 data (C005 collections) at 10 × 10 km 2 spatial resolution, meteorological mixing layer, relative humidity fields simulated by MM5 34 model at spatial resolution of 12 × 12 km 2 , and in situ PM 2.5 and PM 10 as described in Ref. 35.…”

Section: Modis Satellite-based Pm Using Vis-nir Observationsmentioning

confidence: 99%

Synergy of multispectral and multisensors satellite observations to evaluate desert aerosol transport and impact of dust deposition on inland waters: study case of Lake Garda

Nicolantonio¹,

Cazzaniga

Cacciari³

et al. 2015

J. Appl. Remote Sens

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The capabilities of different Earth Observation multispectral satellites are employed for detecting and tracking of desert dust coming from North Africa toward the Northern Italy area and for evaluating the impact of Saharan dust deposition in inland waters, such as those of Lake Garda. Absorbing and scattering spectral optical properties of desert aerosol in the atmospheric windows in the ultraviolet, visible-near-infrared, and infrared spectral ranges are exploited in the dust retrieval performed by OMI/Aura, MODIS/Terra-Aqua, and SEVIRI/MSG satellite sensors. Therefore, the direct link between dust deposition and increase in phytoplankton abundance has been assessed retrieving MERIS-based chlorophyll-a (chl-a) concentration for the desert dust events. Estimates of the increased chl-a in the lake have been derived with values in concentration from 30% to 170%. AERONET sun-photometer measurements, gravimetric particulate matter samplings, in situ chl-a concentration and surface temperature are employed to select events and assess the presence of desert dust and recognize a corresponding increase of the phytoplankton abundance in the analyzed inland waters. The improved observational features that will be provided by the next European Sentinels missions, namely Sentinel-2, 3, 4, 5P, together with MTG-I (Imager) and MTG-S (Sounder) will allow better monitoring atmospheric constituents and studying the environmental impacts of desert dust transport. © The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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Particulate Matter at Surface: Northern Italy Monitoring Based on Satellite Remote Sensing, Meteorological Fields, and in-situ Samplings

Cited by 35 publications

References 26 publications

Aerosol and Air Quality

Aerosol and Air Quality

Spaceborne observations of low surface aerosol concentrations in the Stockholm region

Synergy of multispectral and multisensors satellite observations to evaluate desert aerosol transport and impact of dust deposition on inland waters: study case of Lake Garda

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