• 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 ...

• Estimation of the atmospheric hydroxyl radical oxidative capacity using multiple hydrofluorocarbons (HFCs) 

  Thompson, Rona Louise; Montzka, Stephen A.; Vollmer, Martin K.; Arduini, Jgor; Crotwell, Molly; Krummel, Paul B.; Lunder, Chris Rene; Mühle, Jens; O'doherty, Simon; Prinn, Ronald G.; Reimann, Stefan; Vimont, Isaac; Wang, Hsiang; Weiss, Ray F.; Young, Dickon (Peer reviewed; Journal article, 2024)

  The hydroxyl radical (OH) largely determines the atmosphere's oxidative capacity and, thus, the lifetimes of numerous trace gases, including methane (CH4). Hitherto, observation-based approaches for estimating the atmospheric ...

• Emission ensemble approach to improve the development of multi-scale emission inventories 

  Thunis, Philippe; Kuenen, Jeroen; Pisoni, Enrico; Bessagnet, Bertrand; Banja, Manjola; Gawuc, Lech; Szymankiewicz, Karol; Guizardi, Diego; Crippa, Monica; Lopez-Aparicio, Susana; Guevara, Marc; de Meij, Alexander; Schindlbacher, Sabine; Clappier, Alain (Peer reviewed; Journal article, 2024)

  Many studies have shown that emission inventories are one of the inputs with the most critical influences on the results of air quality modelling. Comparing emission inventories among themselves is, therefore, essential ...

• Estimating stratospheric polar vortex strength using ambient ocean-generated infrasound and stochastics-based machine learning 

  Vorobeva, Ekaterina; Eggen, Mari Dahl; Midtfjord, Alise Danielle; Benth, Fred Espen; Hupe, Patrick; Brissaud, Quentin; Orsolini, Yvan Joseph Georges Emile G.; Näsholm, Sven Peter (Peer reviewed; Journal article, 2024)

  There are sparse opportunities for direct measurement of upper stratospheric winds, yet improving their representation in subseasonal-to-seasonal prediction models can have significant benefits. There is solid evidence ...

• Understanding individual heat exposure through interdisciplinary research on thermoception 

  Serrano, Paloma Yáñez; Bieńkowska, Zofia; Chwałczyk, Franciszek; Hassani, Amirhossein (Peer reviewed; Journal article, 2024)

  Extreme heat events are more frequent and more intense globally due to climate change. The urban environment is an additional factor enhancing the effects of heat. Adults above 65 years old are especially at risk due to ...

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