Aerosol characterization using satellite remote sensing of light pollution sources at night

Author:

Kocifaj Miroslav12,Bará Salvador3ORCID

Affiliation:

1. Faculty of Mathematics, Physics, and Informatics, Comenius University, Mlynská dolina, 842 48 Bratislava, Slovakia

2. ICA, Slovak Academy of Sciences, Dúbravská cesta 9, 845 03 Bratislava, Slovakia

3. Departamento de Física Aplicada, Universidade de Santiago de Compostela, E-15782 Santiago de Compostela, Galicia, Spain

Abstract

ABSTRACT A demanding challenge in atmospheric research is the night-time characterization of aerosols using passive techniques, that is, by extracting information from scattered light that has not been emitted by the observer. Satellite observations of artificial night-time lights have been used to retrieve some basic integral parameters, like the aerosol optical depth. However, a thorough analysis of the scattering processes allows one to obtain substantially more detailed information on aerosol properties. In this letter, we demonstrate a practicable approach for determining the aerosol particle size number distribution function in the air column, based on the measurement of the angular radiance distribution of the scattered light emitted by night-time lights of cities and towns, recorded from low Earth orbit. The method is self-calibrating and does not require the knowledge of the absolute city emissions. The input radiance data are readily available from several spaceborne platforms, like the VIIRS-DNB radiometer onboard the Suomi-NPP satellite.

Funder

Slovak Research and Development Agency

VEGA

Publisher

Oxford University Press (OUP)

Subject

Space and Planetary Science,Astronomy and Astrophysics

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1. Towards future challenges in the measurement and modelling of night sky brightness;Monthly Notices of the Royal Astronomical Society;2023-11-17

2. Effect of cloud micro-physics on zenith brightness in urban environment;Journal of Quantitative Spectroscopy and Radiative Transfer;2023-07

3. Aerosol impact on light pollution in cities and their environment;Journal of Environmental Management;2023-06

4. Estimating Nighttime PM2.5 Concentration in Beijing Based on NPP/VIIRS Day/Night Band;Remote Sensing;2023-01-06

5. Quantitative evaluation of outdoor artificial light emissions using low Earth orbit radiometers;Journal of Quantitative Spectroscopy and Radiative Transfer;2023-01

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