Aerosol–cloud interactions at the four candidate sites of the ANAtOLIA project

Author:

Cavazzani S123,Bertolin C1,Ortolani S23,Giordano C4,Descloitres J5,Fiorentin P6,Victori S7,Gonzalez Ramos Y8,Irbah A9ORCID,Delanoe J9,Berto F1,Ziad A4

Affiliation:

1. NTNU, Department of Mechanical and Industrial Engineering, Gloshaugen , Richard Birkelands vei 2b, 7034 Trondheim , Norway

2. Department of Physics and Astronomy, University of Padova , Vicolo dell’Osservatorio 3, I-35122 Padova , Italy

3. INAF – Osservatorio Astronomico di Padova , Vicolo dell’Osservatorio 5, I-35122 Padova , Italy

4. Université Côte d’Azur, Observatoire de la Côte d’Azur, Laboratoire Lagrange , Parc Valrose, F-06108 Nice Cedex 2 , France

5. AERIS/ICARE Data and Services Center, University of Lille , CNRS, CNES, UAR 2877, F-59000 Lille , France

6. Department of Industrial Engineering, University of Padova , Via Gradenigo 6a, I-35131 Padova , Italy

7. CIMEL Electronique, Research and Development Department , Rue de Charonne 172, F-75011 Paris , France

8. Izana Atmospheric Research Centre (CIAI-AEMET) , La Marina 20, P6, E-38001 Santa Cruz Tenerife , Spain

9. LATMOS/IPSL, UVSQ Paris-Saclay University, Sorbonne University , CNRS, 11 BD D’Alembert Guyancourt, F-78280 Paris , France

Abstract

Abstract ANAtOLIA (Atmospheric monitoring to Assess the availability of Optical Links through the Atmosphere) is a European Space Agency project aimed at selecting sites for optical communication in the atmosphere. The main monitored parameters are cloud cover, aerosol in relation to atmospheric turbulence aimed at monitoring and forecasting the influence of aerosol and cloud cover in reducing optical communication through the atmosphere in selected sites by ESA. In this work, a novel algorithm that uses both the Pearson correlation coefficient and Fourier analysis is used to assess such influences. Aerosol and cloud cover data are obtained from ground stations and satellite over Calern (France), Catania (Italy), Cebreros (Spain), and Lisbon (Portugal). The novel algorithm provides a preliminary long-, medium-, and short-term aerosol–cloud interaction for these four candidate sites, obtaining respectively the variability, the seasonal, and hourly trend of the aerosol concentration; the main medium-term periodicities of aerosols as clouds precursors; the short-term correlation between morning-afternoon aerosol concentration. The use of aerosols as a precursor parameter of cloud cover through a Fourier analysis, makes the algorithm versatile and usable for all sites of optical communication and astronomical importance in which optical transparency is a fundamental requirement, and therefore it is a potential tool to be developed to implement forecasting models.

Funder

European Space Agency

CNES

Norwegian Space Agency

Publisher

Oxford University Press (OUP)

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