Natural and anthropogenic aerosol emissions play a fundamental role both in directly modulating the incoming solar radiation and affecting air quality in the planetary boundary layer. Likewise, their indirect effects impact cloud lifetime, atmospheric column thermodynamics and precipitation patterns. For this reason, it is of crucial importance to assess aerosol spatial and temporal variability to reduce the uncertainty in forecasting future scenarios by the climatological models. In this study we developed an image based robust methodology that permits to retrieve the atmospheric path radiance and then the Aerosol Optical Depth (AOD) using satellite high-resolution spatial images paired with the Fu-Liou-Gu radiative transfer model. We applied our methodology to study aerosol variability in the PO valley (Northern Italy), one of the most polluted region in Europe.

High-resolution satellite aerosol optical depth retrieval and its variability over highly industrialized hotspots in the Po Valley, Italy / Lolli, Simone; Alparone, Luciano; Bilal, Muhammad; Garzelli, Andrea; Vivone, Gemine. - ELETTRONICO. - 10786:(2018), pp. 4-10. (Intervento presentato al convegno Remote Sensing of Clouds and the Atmosphere XXIII 2018 tenutosi a Berlin, Germany nel 12-13 September 2018) [10.1117/12.2325853].

High-resolution satellite aerosol optical depth retrieval and its variability over highly industrialized hotspots in the Po Valley, Italy

Alparone, Luciano;
2018

Abstract

Natural and anthropogenic aerosol emissions play a fundamental role both in directly modulating the incoming solar radiation and affecting air quality in the planetary boundary layer. Likewise, their indirect effects impact cloud lifetime, atmospheric column thermodynamics and precipitation patterns. For this reason, it is of crucial importance to assess aerosol spatial and temporal variability to reduce the uncertainty in forecasting future scenarios by the climatological models. In this study we developed an image based robust methodology that permits to retrieve the atmospheric path radiance and then the Aerosol Optical Depth (AOD) using satellite high-resolution spatial images paired with the Fu-Liou-Gu radiative transfer model. We applied our methodology to study aerosol variability in the PO valley (Northern Italy), one of the most polluted region in Europe.
2018
Proceedings of SPIE - The International Society for Optical Engineering
Remote Sensing of Clouds and the Atmosphere XXIII 2018
Berlin, Germany
12-13 September 2018
Lolli, Simone; Alparone, Luciano; Bilal, Muhammad; Garzelli, Andrea; Vivone, Gemine
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1148199
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