Articles | Volume 25, issue 23
https://doi.org/10.5194/acp-25-17159-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-25-17159-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
01 Dec 2025
Research article |
| 01 Dec 2025
| 01 Dec 2025
German methane fluxes estimated top-down using ICON–ART – Part 1: Ensemble-enhanced scaling inversion
Deutscher Wetterdienst, Frankfurter Str. 135, 63067 Offenbach, Germany
Thomas Rösch
Deutscher Wetterdienst, Frankfurter Str. 135, 63067 Offenbach, Germany
Diego Jiménez de la Cuesta Otero
Deutscher Wetterdienst, Frankfurter Str. 135, 63067 Offenbach, Germany
Beatrice Ellerhoff
Deutscher Wetterdienst, Frankfurter Str. 135, 63067 Offenbach, Germany
Buhalqem Mamtimin
Deutscher Wetterdienst, Frankfurter Str. 135, 63067 Offenbach, Germany
Niklas Becker
Deutscher Wetterdienst, Frankfurter Str. 135, 63067 Offenbach, Germany
Anne-Marlene Blechschmidt
Deutscher Wetterdienst, Frankfurter Str. 135, 63067 Offenbach, Germany
Jochen Förstner
Deutscher Wetterdienst, Frankfurter Str. 135, 63067 Offenbach, Germany
Andrea K. Kaiser-Weiss
CORRESPONDING AUTHOR
Deutscher Wetterdienst, Frankfurter Str. 135, 63067 Offenbach, Germany
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Estimating emissions of greenhouse gases such as methane for individual countries is fundamental for climate mitigation policies. We use a numerical weather model to simulate how methane emissions are transported to observation sites. Based on the observations, we estimate the emissions in Central Europe in 2021. For Germany and the Benelux, we find higher emissions than expected from the national emission reporting. We provide sector-specific estimates to support national emission reporting.
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Estimating emissions of greenhouse gases such as methane for individual countries is fundamental for climate mitigation policies. We use a numerical weather model to simulate how methane emissions are transported to observation sites. Based on the observations, we estimate the emissions in Central Europe in 2021. For Germany and the Benelux, we find higher emissions than expected from the national emission reporting. We provide sector-specific estimates to support national emission reporting.
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A recent development in numerical simulations of the global atmosphere is the increase in horizontal resolution to grid spacings of a few kilometers. However, the vertical grid spacing of these models has not been reduced at the same rate as the horizontal grid spacing. Here, we assess the effects of much finer vertical grid spacings, in particular the impacts on cloud quantities and the atmospheric energy balance.
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Atmos. Chem. Phys., 23, 6409–6430, https://doi.org/10.5194/acp-23-6409-2023, https://doi.org/10.5194/acp-23-6409-2023, 2023
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We investigate how mineral dust can lead to the formation of cirrus clouds. Dusty cirrus clouds lead to a reduction in solar radiation at the surface and, hence, a reduced photovoltaic power generation. Current weather prediction systems are not able to predict this interaction between mineral dust and cirrus clouds. We have developed a new physical description of the formation of dusty cirrus clouds. Overall we can show a considerable improvement in the forecast quality of clouds and radiation.
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Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2021-193, https://doi.org/10.5194/amt-2021-193, 2021
Revised manuscript not accepted
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The evolution and the properties of Saharan dust plume were characterized by LIDARs, a sun photometer, and a regional transport model. Comparison between LIDAR measurements, sun photometer and ICON-ART predictions shows a good agreement for dust arrival time, dust layer height, and dust structure but also that the model overestimates the backscatter coefficients by a factor of (2.2 ± 0.16) and underestimate aerosol optical depth by a factor of (1.5 ± 0.11).
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Short summary
Estimating emissions of greenhouse gases such as methane for individual countries is fundamental for climate mitigation policies. Numerical models can simulate how such emissions are transported to observation sites. Based on the observations, one can estimate the emissions. We describe how operational numerical weather prediction can help determine the model uncertainties and thereby improve the emission estimates. We test our system using simulated observations.
Estimating emissions of greenhouse gases such as methane for individual countries is fundamental...
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