Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Remote Sensing of Aerosols at Night with the CoSQM Sky Brightness Data

Version 1 : Received: 6 August 2021 / Approved: 9 August 2021 / Online: 9 August 2021 (08:40:10 CEST)

How to cite: Marseille, C.; Aubé, M.; Barreto Velasco, A.; Simoneau, A. Remote Sensing of Aerosols at Night with the CoSQM Sky Brightness Data. Preprints 2021, 2021080181 (doi: 10.20944/preprints202108.0181.v1). Marseille, C.; Aubé, M.; Barreto Velasco, A.; Simoneau, A. Remote Sensing of Aerosols at Night with the CoSQM Sky Brightness Data. Preprints 2021, 2021080181 (doi: 10.20944/preprints202108.0181.v1).

Abstract

The aerosol optical depth is an important indicator of aerosol particle properties and associated radiative impacts. AOD determination is therefore very important to achieve relevant climate modeling. Most remote sensing techniques to retrieve aerosol optical depth are applicable to daytime given the high level of light available. The night represents half of the time but in such conditions only a few remote sensing techniques are available. Among these techniques, the most reliable are moon photometers and star photometers. In this paper, we attempt to fill gaps in the aerosol detection performed with the aforementioned techniques using night sky brightness measurements during moonless nights with the novel CoSQM: a portable, low cost and open-source multispectral photometer. In this paper, we present an innovative method for estimating the aerosol optical depth by using an empirical relationship between the zenith night sky brightness measured at night with the CoSQM and the aerosol optical depth retrieved at daytime from the AErosol Robotic NETwork. Such a method is especially suited to light-polluted regions with light pollution sources located within a few kilometers of the observation site. A coherent day-to-night aerosol optical depth and Ångström Exponent evolution in a set of 354 days and nights from August 2019 to February 2021 was verified at the location of Santa Cruz de Tenerife on the island of Tenerife, Spain. The preliminary uncertainty of this technique was evaluated using the variance under stable day-to-night conditions, set at 0.02 for aerosol optical depth and 0.75 for Ångström Exponent. These results indicate the set of CoSQM and the proposed methodology appear to be a promising tool to add new information on the aerosol optical properties at night, which could be of key importance to improve climate predictions.

Keywords

Artificial Light at Night; Aerosol optical depth; Radiometry; Multispectral; Measurement

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