1 to 4 of 4 Results
Jul 24, 2024
Georgiades, Pantelis; Pozzer, Andrea, 2024, "High-resolution global ultrafine particle concentrations through a machine learning model and Earth observations", https://doi.org/10.17617/3.YK9I4B, Edmond, V1
Atmospheric pollution is a major concern due to its well-documented and detrimental impacts on human health, with millions of excess deaths attributed to it annually. Particulate matter (PM), comprising airborne pollutants in the form of solid and liquid particles suspended in th... |
Oct 10, 2023
Pöhlker, Christopher, 2023, "Data on manuscript 'Global organic and inorganic aerosol hygroscopicity and its effect on radiative forcing'", https://doi.org/10.17617/3.HG0GHF, Edmond, V1
This collection contains data for the paper "Global organic and inorganic aerosol hygroscopicity and its effect on radiative forcing" (Pöhlker et al., 2023, doi:10.1038/s41467-023-41695-8 ). When using the data, please refer to the paper mentioned above. If further data are neede... |
Sep 25, 2023
Kohl, Matthias; Pozzer, Andrea, 2023, "Simulated global ultrafine particle (UFP) concentrations", https://doi.org/10.17617/3.7945XI, Edmond, V1
Numerical simulation of global ultrafine particle (UFP; particulate matter with diameter < 0.1 um) concentrations with the ECHAM/MESSy Atmospheric Chemistry model (EMAC) for the year 2015. The simulations are available at two different horizontal resolutions: model resolution (1.... |
Aug 4, 2022
Sanchez, Sabrina, 2022, "MPG Geomagnetic field forecast from 2020 to 2120", https://doi.org/10.17617/3.MZGFPM, Edmond, V1
Geomagnetic field forecast from 2020 to 2120, based on the assimilation of COV-OBS.x1 (Gillet et al, 2015) and Kalmag (Baerenzung et al, 2020) by an ensemble of 3D dynamo simulations. The forecast was issued in the context of the IGRF-13 for geomagnetic field forecast between 202... |