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Ce contenu n'est pas disponible en français.News & Highlights
La cause de l’extrême pollution atmosphérique nocturne à New Dehli a été élucidée
Des chercheurs du PSI ont découvert ce qui cause la forte pollution atmosphérique nocturne à New Dehli.
Andrea Baccarini – Winner of the Prix de Quervain
Andrea Baccarini, former PhD at the Laboratory of Atmospheric Chemistry at PSI won the prestigious Prix de Quervain.
Jungfraujoch Carbon Balance Campaign measures wildfire emissions from southern Europe
The Jungfraujoch Carbon Balance Campaign is a measuring campaign within the ACTRIS project. It is conducted by the Paul Scherrer Institute in collaboration with the Stiftung HFSJG, Empa, FHNW, as well as groups from Lille (France), York (England), and Aerosol d.o.o. (Slovenia). The campaign’s aim is to comprehensively measure and characterize the diversity of carbon-containing molecules present in the air in hopes to obtain helpful information on their role in climate and weather relevant processes.
Winner of the Schmauss Award 2022!
Imad El Haddad, scientific head (a.i.) of the lab of atmospheric chemistry at PSI, won the Schmauss Award 2022!
The Schmauss award, named after physicist and meteorologist August Schmauss is awarded by the Gesellschaft für Aerosolforschung (GAeF) to recognize outstanding research contributions in the field of atmospheric aerosol science.
Des niveaux de pollution extrêmes enregistrés en Arctique
Des données surprenantes sur les polluants dans l'hémisphère nord
Une carte de la pollution par aérosols en Europe peut servir la santé publique
Des chercheurs ont déterminé les sources de pollution particulaire sur 22 sites en Europe.
Analytical chemistry community gateway - submit your research now!
Launch of the analytical chemistry community gateway.
Find criteria and more information below or on: https://open-research-europe.ec.europa.eu/gateways/analytical-chemistry/about
Atmospheric globe-trotters
The CLOUD experiment reveals a new mechanism by which atmospheric particles form. The particles rapidly travel the world, globally impacting cloud formation and climate.
Deep learning to avoid weather disappointments
Saharan dust storms played havoc with weather predictions. Invertible neural networks to retrieve aerosol properties from light scattering data may help.
