Articles | Volume 19, issue 11
https://doi.org/10.5194/gmd-19-4857-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-19-4857-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
11 Jun 2026
Model description paper |
| 11 Jun 2026
| 11 Jun 2026
AgPaDS v1.0: a GPU-accelerated interactive Lagrangian atmospheric transport model with 3-D in situ visualization for simulating windborne dispersal of crop pathogens
Marcel Meyer
CORRESPONDING AUTHOR
Crop Science Group, Institute of Crop Science and Resource Conservation, University of Bonn, 53115 Bonn, Germany
Thomas Gaiser
Crop Science Group, Institute of Crop Science and Resource Conservation, University of Bonn, 53115 Bonn, Germany
Frank Ewert
Crop Science Group, Institute of Crop Science and Resource Conservation, University of Bonn, 53115 Bonn, Germany
Leibniz Centre for Agricultural Landscape Research (ZALF), 15374 Müncheberg, Germany
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Thuy Huu Nguyen, Thomas Gaiser, Jan Vanderborght, Andrea Schnepf, Felix Bauer, Anja Klotzsche, Lena Lärm, Hubert Hüging, and Frank Ewert
Biogeosciences, 21, 5495–5515, https://doi.org/10.5194/bg-21-5495-2024, https://doi.org/10.5194/bg-21-5495-2024, 2024
Short summary
Short summary
Leaf water potential was at certain thresholds, depending on soil type, water treatment, and weather conditions. In rainfed plots, the lower water availability in the stony soil resulted in fewer roots with a higher root tissue conductance than the silty soil. In the silty soil, higher stress in the rainfed soil led to more roots with a lower root tissue conductance than in the irrigated plot. Crop responses to water stress can be opposite, depending on soil water conditions that are compared.
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Short summary
We introduce a Lagrangian atmospheric transport model (AgPaDS) that complements existing approaches by providing an efficient massively parallelized implementation and a unique option for advanced live 3-D visualization of simulation data on global scales for supporting exploratory analyses. The tool is tailored to applications in crop epidemiology and can be used to improve assessment of risks posed to food production by windborne crop disease epidemics.
We introduce a Lagrangian atmospheric transport model (AgPaDS) that complements existing...
