Publications

2026

• Pilz, L., Lüken-Winkels, C., Gałkowski, M., Ho, D., Gerbig, C., Chen, F., und Vardag, S. N.: Evaluation of high-resolution WRF simulation in urban areas — Effect of different physics schemes on simulation performance in the Rhine-Main-Neckar area, Atmospheric Research, 328, 108435, 2026.

2025

• Charuvil Asokan, H., Landgraf, J., Veefkind, P., Dellaert, S., und Butz, A.: Assessing the Detection Potential of Targeting Satellites for Global Greenhouse Gas Monitoring: Insights from TANGO Simulations, EGUsphere [Preprint], 2025. https://doi.org/10.5194/egusphere-2025-1071.

• Weimer, M., Hilker, M., Noël, S., Reuter, M., Buchwitz, M., Fuentes Andrade, B., Lang, R., Sierk, B., Meijer, Y., Bovensmann, H., Burrows, J. P., und Bösch, H.: A study of measurement scenarios for the future CO₂M mission: avoidance of detector saturation and the impact on XCO₂ retrievals, Atmospheric Measurement Techniques, 18, 3321–3340, 2025. https://doi.org/10.5194/amt-18-3321-2025.

• Bruch, V., Rösch, T., Jiménez de la Cuesta Otero, D., Ellerhoff, B., Mamtimin, B., Becker, N., Blechschmidt, A.-M., Förstner, J., und Kaiser-Weiss, A. K.: German methane fluxes in 2021 estimated with an ensemble-enhanced scaling inversion based on the ICON–ART model, EGUsphere, 2025.

• Glauch, T., Marshall, J., Gerbig, C., Botía, S., Gałkowski, M., Vardag, S. N., and Butz, A.: pyVPRM: a next-generation vegetation photosynthesis and respiration model for the post-MODIS era, Geosci. Model Dev., 18, 4713–4742, 2025.

• Maier, F., Falge, E., Gachkivskyi, M., Henne, S., Karstens, U., Kikaj, D., Levin, I., Manning, A., Rödenbeck, C., and Gerbig, C.:  How reliable are process-based ²²²Rn emission maps? Results from an atmospheric ²²²Rn inversion in Europe, EGUsphere [Preprint], 2025.

• Ioannidis, E., (..) Koch, F.-T., Gerbig, C., (..) et al.: An inter-comparison of inverse models for estimating European CH₄ emissions, Earth Syst. Sci. Data Discuss. [preprint], in review, 2025.

• Harris, S.J., (…), Bruch, V. (…), Kaiser-Weiss, A., (…), Mamtimin, B. (…), , et al. Methane emissions from the Nord Stream subsea pipeline leaks. Nature, Methane emissions from the Nord Stream subsea pipeline leaks , 2025

2024

• Vanselow, S., Schneising, O., Buchwitz, M., Reuter, M., Bovensmann, H., Boesch, H., und Burrows, J. P.: Automated detection of regions with persistently enhanced methane concentrations using Sentinel-5 Precursor satellite data, Atmospheric Chemistry and Physics, 24, 10441–10473, 2024.
• Ho, D., Galkowski, M., Reum, F., Botía, S., Marshall, J., Totsche, K. U., et al.: Recommended coupling to global meteorological fields for long-term tracer simulations with WRF-GHG, Geoscientific Model Development, 17, 7401–7422, 2024.
• Fuentes Andrade, B., Buchwitz, M., Reuter, M., Bovensmann, H., Richter, A., Boesch, H., and Burrows, J. P.: A method for estimating localized CO₂ emissions from co-located satellite XCO₂ and NO₂ images, Atmos. Meas. Tech., 17, 1145–1173, A method for estimating localized CO2 emissions from co-located satellite XCO2 and NO2 images , 2024

• Gałkowski, M., Marshall, J., Fuentes Andrade, B., and Gerbig, C.: Impact of atmospheric turbulence on the accuracy of point source emission estimates using satellite imagery, EGUsphere [preprint], Impact of atmospheric turbulence on the accuracy of point source emission estimates using satellite imagery , 2024

• Hachmeister, J., Schneising, O., Buchwitz, M., Burrows, J. P., Notholt, J., and Buschmann, M.: Zonal variability of methane trends derived from satellite data, Atmos. Chem. Phys., 24, 577–595, Zonal variability of methane trends derived from satellite data , 2024

• Munassar, S., Roedenbeck, C., Gałkowski, M., Koch, F.-T., Totsche, K. U., Botía, S., and Christoph Gerbig, C., Atmos. Chem. Phys. Disc. (preprint), To what extent does CO2 diurnal cycle impact carbon flux estimates in CarboScope? , 2024

• Mwanake, R. M., Imhof, H. K., Kiese, R.: Divergent drivers of the spatial variation in greenhouse gas concentrations and fluxes along the Rhine River and the Mittelland Canal in Germany, Environmental Science and Pollution Research 31(22), 32183-32199, https://doi.org/10.1007/s11356-024-33394-8 , 2024

• Noël, S., Buchwitz, M., Hilker, M., Reuter, M., Weimer, M., Bovensmann, H., Burrows, J. P., Bösch, H., and Lang, R.: Greenhouse gas retrievals for the CO2M mission using the FOCAL method: first performance estimates, Atmos. Meas. Tech., 17, 2317–2334, Greenhouse gas retrievals for the CO2M mission using the FOCAL method: first performance estimates , 2024

• Schneising, O., Buchwitz, M., Reuter, M., Weimer, M., Bovensmann, H., Burrows, J. P., and Bösch, H.: Towards a sector-specific CO∕CO₂ emission ratio: satellite-based observations of CO release from steel production in Germany, Atmos. Chem. Phys., 24, 7609–7621, Towards a sector-specific CO∕CO2 emission ratio: satellite-based observations of CO release from steel production in Germany , 2024

2023

• Schneising, O., Buchwitz, M., Hachmeister, J., Vanselow, S., Reuter, M., Buschmann, M., Bovensmann, H., Burrows, J. P.: Advances in retrieving XCH4 and XCO from Sentinel-5 Precursor: improvements in the scientific TROPOMI/WFMD algorithm. Atmos. Meas. Tech. 16(3): 669-694. Advances in retrieving XCH4 and XCO from Sentinel-5 Precursor: improvements in the scientific TROPOMI/WFMD algorithm , 2023

2021

• Integrated Greenhouse Gas Monitoring System for Germany (ITMS) - Overall Concept, Version 24.9.2021, Christoph Gerbig, Andrea K. Kaiser-Weiss, Heinrich Bovensmann, Klaus Butterbach-Bahl, Christian Plass-Dülmer, Andreas Fix, https://www.fona.de/de/massnahmen/foerdermassnahmen/ITMS/ITMS_Konzept.pdf?m=1661860754& , 2021.