1 to 10 of 24 Results
May 23, 2025
Sander, Rolf; Andersen, Simone Thirstrup, 2025, "ACROSS_Mecca_model_output", https://doi.org/10.17617/3.NZ3XZG, Edmond, V1
Box model output when optimizing agreement between modelled and measured peroxycarboxylic nitric anhydrides during the ACROSS campaign. 9 days of spin-up time was used to ensure steady state of all trace gasses not constrained in the model. |
Mar 19, 2025
Krueger, Matteo; Berkemeier, Thomas, 2025, "Code and data for 'Improved vapor pressure predictions using group contribution-assisted graph convolutional neural networks (GC2NN)'", https://doi.org/10.17617/3.GIKHJL, Edmond, V1
We propose a novel approach to predict saturation vapor pressures using group contribution-assisted graph convolutional neural networks (GC2NN), which use both, molecular descriptors like molar mass and functional group counts, as well as molecular graphs containing atom and bond features, as representations of molecular structure. Molecular graphs... |
Oct 2, 2024
Pozzer, Andrea; Steffens, Brendan; Bacer,Sara, 2024, "Atmospheric health burden across the century and the accelerating impact of temperature compared to pollution", https://doi.org/10.17617/3.ITPOI5, Edmond, V1
Anthropogenic emissions alter atmospheric composition and therefore the climate, with implications for air pollution- and climate-related human health. Mortality attributable to air pollution and non-optimal temperature is a major concern, which is subject to change in the future under different climate change and socioeconomic scenarios. The goal... |
Oct 2, 2024
Nussbaumer, Clara M; Andrea Pozzer; Michael Hewson; Linda Ort; Bianca Krumm; Joseph Byron; Jonathan Williams; Philipp Joppe; Florian Obersteiner; Andreas Zahn; Jos Lelieveld; Horst Fischer, 2024, "Supporting data for "Low Tropospheric Ozone Over the Indo‐Pacific Warm Pool Related to Non‐Electrified Convection"", https://doi.org/10.17617/3.EBCL3D, Edmond, V1
This is the supporting dataset for the manuscript draft titled "Low Tropospheric Ozone Over the Indo‐Pacific Warm Pool Related to Non‐Electrified Convection". |
Sep 15, 2024
Pozzer, Andrea; Cho, Yoori, 2024, "Rising atmospheric levels of fine particulate matter reduce the degree of linear polarisation of light", https://doi.org/10.17617/3.K7ZDG5, Edmond, V1
Many insects utilise optical information in linearly polarised light for navigation, with the degree of linear polarisation (DoLP) determining whether the ‘visibility’ of such optical information is available to them. However, changes in degree of linear polarisation in response to increased atmospheric levels of fine particulate matter (PM2.5) are... |
Mar 22, 2024
Krueger, Matteo; Berkemeier, Thomas, 2023, "Code and data for the manuscript 'A numerical compass for experiment design in chemical kinetics and molecular property estimation'", https://doi.org/10.17617/3.D5PCQK, Edmond, V3
The numerical compass (NC) method integrates kinetic models, global optimization, ensemble methods, and machine learning to identify experimental conditions with the greatest potential to constrain kinetic parameters. The approach is based on the quantification of model output variance in an ensemble of solutions that agree with experimental data.... |
Oct 13, 2023
Wang, Wenjie, 2022, "Measurement data of ozone pollution in Beijing", https://doi.org/10.17617/3.LEFS4A, Edmond, V5
Reference data for paper "Precise ozone mitigation strategy from the perspective of atmospheric oxidation capacity". When using the data, please refer to the paper mentioned above. If further data needed, please contact the corresponding authors. |
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 needed, please contact the corresponding author. The files contain the data... |
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 (1.875°x1.875°) and downscaled using emission databases as proxies (0.1°x... |
Apr 6, 2023
Klingmüller, Klaus, 2023, "Data-driven aeolian dust emission scheme for climate modelling - code and data", https://doi.org/10.17617/3.XPDIES, Edmond, V1
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