Publications

2026

• Becker, N., Bruch, V., R¨ osch, T., Keil, N. H., Steil, M. J., Jimenez de la Cuesta Otero, D., Ellerhoff, B., Potthast, R., and Kaiser-Weiss, A. K. Concur- rent assimilation of methane fluxes and concentrations with a 4D LETKF for Germany in 2021 based on ICON-ART, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2026-3221, 2026.
• Smerald, A., Imhof, H.K., Akubia, J., Vos, C., Fuß, R., Scheer, C., Kiese, R. Towards a Tier-3 framework for estimating national N2O emissions from agricultural soils. submitted. Pre-Print available: A process-based framework for national-scale estimation of agricultural soil N₂O emissions under variable climate and management
• Moutahir, H., Sulzer, M., Kiese, R., Christen, A., Weiler, M., Dedden, L., Brzozon, J., Labenski, P., Khanal, P., Šigut, L. and Grote, R., 2026. Matching scales of eddy covariance measurements and process-based modeling–assessing spatiotemporal dynamics of carbon and water fluxes in a mixed forest in Southern Germany. Biogeosciences, 23(4), pp.1719-1738. Matching scales of eddy covariance measurements and process-based modeling – assessing spatiotemporal dynamics of carbon and water fluxes in a mixed forest in Southern Germany 
• Martin, L.L., Smerald, A., Kraus, D., Imhof, H.K., Haas, E., Kiese, R., Scheer, C. (2026) Quantifying heat vs drought-induced yield decline of German cropping systems and the mitigating potential of irrigation. Environmental Research Letters 21(14): 144015.
  Quantifying heat vs drought-induced yield decline of German cropping systems and the mitigating potential of irrigation
• Chen, H., Blagodatsky, S., Rosinger, C., Reichel, R., Li, B., Kumar, A., Rothardt, S., Brüggemann, N., Kage, H., Bonkowski, M., 2026. Combining straw amendment and nitrification inhibitor to mitigate soil N losses during cooling-warming and freeze-thaw cycles. Applied Soil Ecology 223, 107083. https://doi.org/10.1016/j.apsoil.2026.107083
• 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.

• Ioannidis, E., (..) Koch, F.-T., Gerbig, C., (..) et al.: An inter-comparison of inverse models for estimating European CH₄ emissions, Earth Syst. Sci. Data, 18, 167–198, An inter-comparison of inverse models for estimating European CH4 emissions , 2026.

2025

• Schneising, O., Bovensmann, H., Buchwitz, M., Buschmann, M., Deutscher, N. M., Griffith, D. W. T., Hachmeister, J., Hase, F., Iraci, L. T., Kivi, R., Morino, I., Ohyama, H., Petri, C., Reuter, M., Robinson, J., Roehl, C., Sha, M. K., Shiomi, K., Strong, K., Sussmann, R., Té, Y., Velazco, V. A., Vrekoussis, M., Wang, W., Warneke, T., Weidmann, D., Wunch, D., Zhou, M., and Bösch, H.: TROPOMI/WFMD v2.0: Improved retrievals of XCH₄ and XCO with XGBoost-based quality filtering, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2025-5422, 2025.

• Lead authors: Ganesan, A. and Manning, A., Contributing authors: Barrigar, O., Bovensmann, H., Brailsford, G., Brunner, D., Bukosa, B., Chan, D., Chan, E., Chen, Y., DeCola, P., Dunse, B., Ellerhoff, B., Emmenegger, L., Fix, A., Geddes, A., Gerbig, C., Henne, S., Herner, J., Hong, J., Houweling, S., Hu, L., Imhof, H., Ishizawa, M., Kaiser-Weiss, A., Keller, E., Kennett, D., Kiese, R., Kim, J., Kim, S., Krummel, P., Kubistin, D., Mikaloff-Fletcher, S., Mielke, C., Miller, J., Moore, S., Müller-Williams, J., Neish, M., Nichol, S., O’Doherty, S., Pitt, J., Redington, A., Reimann, S. , Scheer, C., Smale, D., Steinbacher, M., Smyth, S., Stanley, K., Trudinger, C., Vijayan, A., Vogel, F., Vollmer, M. K., Wenger, A., Worthy, D. E. J., Young, D.: Integrated Global Greenhouse Gas Information System Good Practice Guidance for Estimating National-scale Greenhouse Gas Emissions using Atmospheric Observations, GAW Report No. 319, 2025

• Bruch, V., Rösch, T., Jiménez de la Cuesta Otero, D., Ellerhoff, B., Mamtimin, B., Becker, N., Blechschmidt, A.-M., Förstner, J., and Kaiser-Weiss, A. K.: German methane fluxes estimated top-down using ICON–ART – Part 1: Ensemble-enhanced scaling inversion, Atmos. Chem. Phys., 25, 17159–17185, https://doi.org/10.5194/acp-25-17159-2025, 2025.

• Bruch, V., Rösch, T., Jiménez de la Cuesta Otero, D., Ellerhoff, B., Mamtimin, B., Becker, N., Blechschmidt, A.-M., Förstner, J., and Kaiser-Weiss, A. K.: German methane fluxes estimated top-down using ICON–ART – Part 2: Inversion results for 2021, Atmos. Chem. Phys., 25, 17187–17204, https://doi.org/10.5194/acp-25-17187-2025, 2025.

• Gałkowski, M., Marshall, J., Fuentes Andrade, B., and Gerbig, C.: IImpact of atmospheric turbulence on the accuracy of point source emission estimates using satellite imagery, Atmos. Chem. Phys., 25, 13831–13848, 2025.

• Kivimäki, E., Tenkanen, M., Aalto, T., Buchwitz, M., Luojus, K., Pulliainen, J., Rautiainen, K., Schneising, O., Sundström, A.-M., Tamminen, J., Tsuruta, A., and Lindqvist, H.: Environmental drivers constraining the seasonal variability in satellite-observed and modelled methane at northern high latitudes, Biogeosciences, 22, 5193–5230, https://doi.org/10.5194/bg-22-5193-2025, 2025.

• Sicsik-Paré, A., Fortems-Cheiney, A., Pison, I., Broquet, G., Opler, A., Potier, E., Martinez, A., Schneising, O., Buchwitz, M., Maasakkers, J. D., Borsdorff, T., and Berchet, A.: Can we obtain consistent estimates of the emissions in Europe from three different CH₄ TROPOMI products?, EGUsphere [preprint], 2025.

• Mathew, T. A., Pillai, D., Sukumaran, J., Deshpande, M. V., Buchwitz, M., Schneising, O., Thilakan, V., Ravi, A., Kanakkassery, S. B., Vinod, A. J., Sijikumar, S., Girach, I. A., and Babu, S. S.: Leveraging TROPOMI observations and WRF-GHG modeling towards improving methane emission assessments in India, Atmos. Chem. Phys., 26, 4453–4477, https://doi.org/10.5194/acp-26-4453-2026, 2026.

• 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.

• 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.

• Munassar, S., Roedenbeck, C., Gałkowski, M., Koch, F.-T., Totsche, K. U., Botía, S., and Christoph Gerbig, C., Atmos. Chem. Phys. Disc., To what extent does CO2 diurnal cycle impact carbon flux estimates in CarboScope? , 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 ²²²radon emission maps? Results from an atmospheric ²²²radon inversion in Europe,  Atmos. Chem. Phys., 25, 12779–12809, https://doi.org/10.5194/acp-25-12779-2025, 2025.

• Harris, S.J., (…), Bruch, V. (…), Kaiser-Weiss, A., (…), Mamtimin, B. (…), , et al. Methane emissions from the Nord Stream subsea pipeline leaks. Nature, 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, 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, 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 , 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, 2024

• Nelson, J. A., Walther, S.,  et al.: X-BASE: the first terrestrial carbon and water flux products from an extended data-driven scaling framework, FLUXCOM-X, Biogeosciences, 21, 5079–5115, 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, 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., 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.