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Dieser Inhalt ist nicht auf Deutsch verfügbar.News & Highlights
Ursache für extreme nächtliche Luft-Verschmutzung in New Delhi aufgeklärt
Forschende des PSI finden die Ursache für die hohe Luftverschmutzung in New Delhi bei Nacht.
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.
Wärmeeinbruch in der Arktis verursacht extreme Schadstoffbelastung
Überraschende Daten zu Schadstoffen auf der nördlichen Halbkugel
Europakarte der Aerosolverschmutzung kann der öffentlichen Gesundheit dienen
Forschende haben an 22 Standorten in Europa die Quellen der Aerosolverschmutzung bestimmt.
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.
