Blar i NILU Brage på forfatter "Salamalikis, Vasileios"
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Aerosol Optical Properties and Type Retrieval via Machine Learning and an All-Sky Imager
Logothetis, Stavros-Andreas; Giannaklis, Christos-Panagiotis; Salamalikis, Vasileios; Tzoumanikas, Panagiotis; Raptis, Panagiotis-Ioannis; Amiridis, Vassilis; Eleftheratos, Kostas; Kazantzidis, Andreas (Peer reviewed; Journal article, 2023)This study investigates the applicability of using the sky information from an all-sky imager (ASI) to retrieve aerosol optical properties and type. Sky information from the ASI, in terms of Red-Green-Blue (RGB) channels ... -
Air quality in Sandefjord, Norway. November 2021 – August 2023.
Salamalikis, Vasileios; Castell, Nuria (NILU report;1/2024, Research report, 2024)This report examines the air quality patterns in terms of particulate matter with a diameter less than 2.5 μm (PM2.5) in Sandefjord, Norway. PM2.5 was monitored through five low-cost sensors in hourly resolution from ... -
Impact of Aerosol Optical Properties, Precipitable Water, and Solar Geometry on Sky Radiances Using Radiative Transfer Modeling
Giannaklis, Christos-Panagiotis; Logothetis, Stavros-Andreas; Salamalikis, Vasileios; Tzoumanikas, Panagiotis; Kazantzidis, Andreas (Journal article, 2023)Radiative transfer modeling is used to investigate the effect of aerosol optical properties and water vapor on cloud-free sky radiances at various atmospheric conditions. Simulations are generated by changing the most ... -
Investigating the Sensitivity of Low-Cost Sensors in Measuring Particle Number Concentrations across Diverse Atmospheric Conditions in Greece and Spain
Kosmopoulos, Georgios; Salamalikis, Vasileios; Wilbert, Stefan; Zarzalejo, Luis F.; Hanrieder, Natalie; Karatzas, Stylianos; Kazantzidis, Andreas (Peer reviewed; Journal article, 2023)Low-cost sensors (LCSs) for particulate matter (PM) concentrations have attracted the interest of researchers, supplementing their efforts to quantify PM in higher spatiotemporal resolution. The precision of PM mass ... -
A Machine Learning Approach to Retrieving Aerosol Optical Depth Using Solar Radiation Measurements
Logothetis, Stavros-Andreas; Salamalikis, Vasileios; Kazantzidis, Andreas (Peer reviewed; Journal article, 2024)Aerosol optical depth (AOD) constitutes a key parameter of aerosols, providing vital information for quantifying the aerosol burden and air quality at global and regional levels. This study demonstrates a machine learning ... -
PM2.5 Retrieval Using Aerosol Optical Depth, Meteorological Variables, and Artificial Intelligence
Logothetis, Stavros-Andreas; Kosmopoulos, Georgios; Salamalikis, Vasileios; Kazantzidis, Andreas (Journal article, 2032)Particulate matter (PM) is one of the major air pollutants that has adverse impacts on human health. The aim of this study is to present an alternative approach for retrieving fine PM (particles with an aerodynamic diameter ... -
Retrieval of Aerosol Optical Properties via an All-Sky Imager and Machine Learning: Uncertainty in Direct Normal Irradiance Estimations
Logothetis, Stavros-Andreas; Giannaklis, Christos-Panagiotis; Salamalikis, Vasileios; Tzoumanikas, Panagiotis; Raptis, Panagiotis-Ioannis; Amiridis, Vassilis; Eleftheratos, Kostas; Kazantzidis, Andreas (Journal article, 2023)Quality-assured aerosol optical properties (AOP) with high spatiotemporal resolution are vital for the accurate estimation of direct aerosol radiative forcing and solar irradiance under clear skies. In this study, the sky ... -
Simulations of Sky Radiances in Red and Blue Channels at Various Aerosol Conditions Using Radiative Transfer Modeling
Giannaklis, Christos-Panagiotis; Logothetis, Stavros-Andreas; Salamalikis, Vasileios; Tzoumanikas, Panagiotis; Katsidimas, Konstantinos; Kazantzidis, Andreas (Journal article, 2023)We conducted a theoretical analysis of the relationship between red-to-blue (RBR) color intensities and aerosol optical properties. RBR values are obtained by radiative transfer simulations of diffuse sky radiances. Changes ...