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Found 9200 publications. Showing page 3 of 368:

Publication  
Year  
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Effect of demand-controlled ventilation strategies on indoor air pollutants in a classroom: A Norwegian case study

Yang, Aileen; Andersen, Kamilla Heimar; Hak, Claudia; Mikoviny, Tomas; Wisthaler, Armin; Holøs, Sverre Bjørn

IOP Publishing

2023

Standards and Open Access are the ICOS Pillars Reply to "Comments on 'The Integrated Carbon Observation System in Europe'"

Papale, Dario; Heiskanen, Jouni; Brümmer, Christian; Buchmann, Nina; Calfapietra, Carlo; Carrara, Arnaud; Chen, Huilin; Gielen, Bert; Gkritzalis, Thanos; Hammer, Samuel; Hartman, Susan; Herbst, Mathias; Janssens, Ivan A.; Jordan, Armin; Juurola, Eija; Karstens, Ute; Kasurinen, Ville; Kruijt, Bart; Lankreijer, Harry; Levin, Ingeborg; Linderson, Maj-Lena; Loustau, Denis; Merbold, Lutz; Myhre, Cathrine Lund; Pavelka, Marian; Pilegaard, Kim; Ramonet, Michel; Rebmann, Corinna; Rinne, Janne; Rivier, Leonard; Saltikoff, Elena; Sanders, Richard; Steinbacher, Martin; Steinhoff, Tobias; Watson, Andrew; Vermeulen, Alex T.; Vesala, Timo; Vitkova, Gabriela; Kutsch, Werner

American Meteorological Society

2023

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

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 information from an all-sky imager (ASI) is used with machine learning (ML) synergy to estimate aerosol optical depth (AOD) and the Ångström Exponent (AE). The retrieved AODs (AE) revealed good accuracy, with a dispersion error lower than 0.07 (0.15). The retrieved ML AOPs are used to estimate the DNI by applying radiative transfer modeling. The estimated ML DNI calculations revealed adequate accuracy to reproduce reference measurements with relatively low uncertainties.

2023

PM2.5 Retrieval Using Aerosol Optical Depth, Meteorological Variables, and Artificial Intelligence

Logothetis, Stavros-Andreas; Kosmopoulos, Georgios; Salamalikis, Vasileios; Kazantzidis, Andreas

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 less than 2.5 μm, PM2.5) using artificial intelligence. Ground-based instruments, including a hand-held Microtops II sun photometer (for aerosol optical depth), a PurpleAir sensor (for PM2.5), and Rotronic sensors (for temperature and relative humidity), are used for the machine learning algorithm training. The retrieved PM2.5 reveals an adequate performance with an error of 0.08 μg m−3 and a Pearson correlation coefficient of 0.84.

2023

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

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 critical aerosol optical properties, namely aerosol optical depth, Ångström exponent, the single-scattering albedo, the precipitable water, and the solar zenith angle (SZA) in three different spectral ranges: ultraviolet A, visible, and near-infrared.

2023

Automatic Correction of Non-Anechoic Antenna Measurements using Low-Pass Filters

Bekasiewicz, Adrian; Waladi, Vorya; Wojcikowski, Marek; Cao, Tuan-Vu

2023

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

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 in atmospheric aerosol concentration (parametrized by aerosol optical depth, AOD), particle’s size distribution (parametrized by Ångström exponent, AE) and aerosols’ scattering (parametrized by single scattering albedo—SSA) lead to variability in sky radiances and, thus, affect the RBR ratio. RBR is highly sensitive to AOD as high aerosol load in the atmosphere causes high RBR. AE seems to strongly affect the RBR, while SSA effect the RBR, but not to such a great extent.

2023

Agency and responsibility in smart air pollution monitoring

Ekman, Karin; Ponti, Marisa; Grau, Marc Peñalver; Castell, Nuria; Steffansen, Rasmus Nedergård; Lissandrello, Enza

2023

Observations and Retrievals of Volcanic Ash Clouds Using Ground- and Satellite-Based Sensors

Mereu, Luigi; Scollo, Simona; Bonadonna, Costanza; Corradini, Stefano; Donnadieu, Franck; Montopoli, Mario; Vulpiani, Gianfranco; Barsotti, Sara; Freret-Lorgeril, Valentin; Gudmundsson, Magnús Tumi; Kylling, Arve; Ripepe, Maurizio

2023

Modelling of atmospheric volatile organic compounds using the EMEP MSC-W model

Ge, Yao; Simpson, David; Solberg, Sverre; van Caspel, Willem; Fagerli, Hilde; Tsyro, Svetlana; Heal, Mathew R.

2023

EMEP CCC update

Tørseth, Kjetil; Aas, Wenche

2023

Modelling of CECs

Breivik, Knut; McLachlan, Michael S; Wania, Frank

2023

Resuspension of microplastic particles from arid regions and global impacts on atmospheric concentrations and deposition

Evangelou, Ioanna; Tatsii, Daria; Bucci, Silvia; Zwaaftink, Christine Groot; Stohl, Andreas

2023

T5.1: Data management Plan (DMP) progress and data gathered

Aas, Wenche; Fiebig, Markus; Myhre, Cathrine Lund

2023

Future drinking water levels of nitrosamines and nitramines near a CO2 capture plant (FuNitr)

Gundersen, Cathrine Brecke; Norling, Magnus Dahler; Clayer, Francois; Wennberg, Aina Charlotte; Wisthaler, Armin; Cassiani, Massimo; Dörsch, Peter; Drageset, Audun; Tednes, Marius; Knudsen, Jacob Nygaard

2023

Changes in the atmospheric chemical composition and impacts on climate, health, and ecosystems

Aas, Wenche; Bohlin-Nizzetto, Pernilla; Eckhardt, Sabine; Myhre, Cathrine Lund; Platt, Stephen Matthew; Solberg, Sverre; Svendby, Tove Marit; Tørseth, Kjetil; Yttri, Karl Espen

2023

Trends in air pollution in Europe, 2000-2019

Aas, Wenche; Fagerli, Hilde; Simpson, David; Solberg, Sverre; Tsyro, Svetlana; Yttri, Karl Espen

2023

Linking aerosol size distribution and hygroscopicity to cloud droplet formation at an Arctic mountain site

Motos, Ghislain; Freitas, Gabriel; Georgakaki, Paraskevi; Wieder, Jörg; Aas, Wenche; Lunder, Chris Rene; Krejci, Radovan; Pasquier, Julie T.; Henneberger, Jan; David, Robert Oscar; Mohr, Claudia; Zieger, Paul; Nenes, Athanasios

2023

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