Francke, T. and Heistermann, M. (2025): Groundwater recharge in Brandenburg is declining – but why?, EGUsphere [preprint], doi.org/10.5194/egusphere-2025-222, accepted.

Altdorff, D., Heistermann, M., Francke, T., Schrön, M., Attinger, S., Bauriegel, A., Beyrich, F., Biró, P., Dietrich, P., Eichstädt, R., Grosse, P. M., Markert, A., Terschlüsen, J., Walz, A., Zacharias, S., and Oswald, S. E. (2024): Brief Communication: A new drought monitoring network in the state of Brandenburg (Germany) using cosmic-ray neutron sensing, EGUsphere [preprint], doi.org/10.5194/egusphere-2024-3848, in review.

Guan, X., Nguyen, D. V., Voit, P., Merz, B., Heistermann, M., and Vorogushyn, S. (2024): The ability of a stochastic regional weather generator to reproduce heavy precipitation events across scales, Nat. Hazards Earth Syst. Sci. Discuss. [preprint], doi.org/10.5194/nhess-2024-143, accepted.

Dobkowitz, S., Bronstert, A., and Heistermann, M. (2025): Water retention by green infrastructure to mitigate urban flooding: a meta-analysis, Urban Water Journal, https://doi.org/10.1080/1573062X.2025.2472325.

Francke, T., Brogi, C., Duarte Rocha, A., Förster, M., Heistermann, M., Köhli, M., Rasche, D., Reich, M., Schattan, P., Scheiffele, L., and Schrön, M. (2025): Virtual Joint Field Campaign: a framework of synthetic landscapes to assess multiscale measurement methods of water storage, Geosci. Model Dev., 18, 819–842, doi.org/10.5194/gmd-18-819-2025.

Ayzel, G. and Heistermann, M. (2025): Brief communication: Training of AI-based nowcasting models for rainfall early warning should take into account user requirements, Nat. Hazards Earth Syst. Sci., 25, 41-47, doi.org/10.5194/nhess-25-41-2025.

Voit, P. and Heistermann, M. (2024): Brief Communication: Stay local or go global? On the construction of plausible counterfactual scenarios to assess flash flood hazards, Nat. Hazards Earth Syst. Sci., 24, 4609-4615, doi.org/10.5194/nhess-24-4609-2024.

Voit, P. and Heistermann, M. (2024): A downward counterfactual analysis of flash floods in Germany, Nat. Hazards Earth Syst. Sci., 24, 2147–2164, doi.org/10.5194/nhess-24-2147-2024.

Heistermann, M., Francke, T., Schrön, M., and Oswald, S. E. (2024): Technical Note: Revisiting the general calibration of cosmic-ray neutron sensors to estimate soil water content, Hydrol. Earth Syst. Sci., 28, 989–1000, doi.org/10.5194/hess-28-989-2024.

Heistermann, M., Francke, T., Scheiffele, L., Dimitrova Petrova, K., Budach, C., Schrön, M., Trost, B., Rasche, D., Güntner, A., Döpper, V., Förster, M., Köhli, M., Angermann, L., Antonoglou, N., Zude-Sasse, M., and Oswald, S. (2023): Three years of soil moisture observations by a dense cosmic-ray neutron sensing cluster at an agricultural research site in north-east Germany, Earth Syst. Sci. Data, doi.org/10.5194/essd-2023-19.

Bürger, G. and Heistermann, M. (2023): Shallow and deep learning of extreme rainfall events from convective atmospheres, Nat. Hazards Earth Syst. Sci., 23, 3065–3077, doi.org/10.5194/nhess-23-3065-2023.

Lengfeld, K., Voit, P., Kaspar, F., and Heistermann, M. (2022): Brief Communication: On the extremeness of the July 2021 precipitation event in western Germany, Nat. Haz. Earth Syst. Sc., doi.org/10.5194/nhess-23-1227-2023.

Seleem, O., Ayzel, G., Bronstert, A., and Heistermann, M. (2022): Transferability of data-driven models to predict urban pluvial flood water depth in Berlin, Germany, Nat. Hazards Earth Syst. Sci., doi.org/10.5194/nhess-2022-263.

Seleem, O., G. Ayzel, A. T. de Souza, A. Bronstert, and M. Heistermann (2022): Towards urban flood susceptibility mapping using data-driven models in Berlin, Germany, Geom. Nat. Haz. Risk, doi.org/10.1080/19475705.2022.2097131.

Voit, P. and Heistermann, M. (2022): Quantifying the extremeness of precipitation across scales, Nat. Hazards Earth Syst. Sci., doi.org/10.5194/nhess-2022-144.

Caldas-Alvarez, A., Augenstein, M., Ayzel, G., Barfus, K., Cherian, R., Dillenardt, L., Fauer, F., Feldmann, H., Heistermann, M., Karwat, A., Kaspar, F., Kreibich, H., Lucio-Eceiza, E. E., Meredith, E. P., Mohr, S., Niermann, D., Pfahl, S., Ruff, F., Rust, H. W., Schoppa, L., Schwitalla, T., Steidl, S., Thieken, A. H., Tradowsky, J. S., Wulfmeyer, V., and Quaas, J. (2022): Meteorological, Impact and Climate perspectives of the 29 June 2017 Heavy Precipitation Event in the Berlin Metropolitan Area, Nat. Hazards Earth Syst. Sci., doi.org/10.5194/nhess-2022-96, accepted.

Heistermann, M., Bogena, H., Francke, T., Güntner, A., Jakobi, J., Rasche, D., Schrön, M., Döpper, V., Fersch, B., Groh, J., Patil, A., Pütz, T., Reich, M., Zacharias, S., Zengerle, C., and Oswald, S. (2022): Soil moisture observation in a forested headwater catchment: combining a dense cosmic-ray neutron sensor network with roving and hydrogravimetry at the TERENO site Wüstebach, Earth Syst. Sci. Data, doi.org/10.5194/essd-2021-445.

Döpper, V. U., T. Jagdhuber, A.-K. Holtgrave, M. Heistermann, T. Francke, B. Kleinschmit, and M. Förster (2022): Following the Cosmic-Ray-Neutron-Sensing-based soil moisture under grassland and forest: Exploring the potential of optical and SAR remote sensing, Science of Remote Sensing, 5, 100056, doi.org/10.1016/j.srs.2022.100056.

Francke, T., Heistermann, M., Köhli, M., Budach, C., Schrön, M., and Oswald, S. E. (2022): Assessing the feasibility of a directional CRNS-sensor for estimating soil moisture, Geosci. Instrum. Method. Data Syst., doi.org/10.5194/gi-2021-18.

Seleem, O., Heistermann, M., Bronstert, A. (2021): Efficient Hazard Assessment For Pluvial Floods In Urban Environments: A Benchmarking Case Study For The City Of Berlin, Germany, Water,  13(18), 2476, doi.org/10.3390/w13182476.

Heistermann, M., Francke, T., Schrön, M., and Oswald, S. E. (2021): Spatio-temporal soil moisture retrieval at the catchment-scale using a dense network of cosmic-ray neutron sensors, Hydrol. Earth Syst. Sci, 25, 4807–4824, doi.org/10.5194/hess-2021-25.

Ayzel, G., and Heistermann, M. (2021): The effect of calibration data length on the performance of a conceptual hydrological model versus artificial neural networks: a case study for six basins from the United States, Comput. Geosci., doi.org/10.1016/j.cageo.2021.104708.

de Souza, A. C.T ., Ayzel, G., and Heistermann, M. (2020): Quantifying the location error of precipitation nowcasts, Adv. Met., doi.org/10.1155/2020/8841913.

Fersch, B., Francke, T., Heistermann, M., Schrön, M., Döpper, V., Jakobi, J. et al. (2020): A dense network of cosmic-ray neutron sensors for soil moisture observation in a pre-alpine headwater catchment in Germany, Earth Syst. Sci. Data, doi.org/10.5194/essd-2020-48.

Ayzel, G., Scheffer, T., and Heistermann, M. (2020): RainNet v1.0: a convolutional neural network for radar-based precipitation nowcasting, Geosci. Model Dev., 13, 2631–2644, doi.org/10.5194/gmd-13-2631-2020.

Crisologo, I. and Heistermann, M. (2020): Using ground radar overlaps to verify the retrieval of calibration bias estimates from spaceborne platforms, Atmos. Meas. Tech., doi.org/10.5194/amt-2019-126.

Saltikoff, E., K. Friedrich, J. Soderholm, K. Lengfeld, B. Nelson, A. Becker, R. Hollmann, B. Urban, M. Heistermann, and C. Tassone (2019): An overview of using weather radar for climatological studies: Successes, challenges and potential, Bull. Amer. Meteor. Soc., doi.org/10.1175/BAMS-D-18-0166.1.

Ayzel, G., Heistermann, M., and Winterrath, T. (2019): Optical flow models as an open benchmark for radar-based precipitation nowcasting (rainymotion v0.1), Geosci. Model Dev., 12, 1387-1402.

Crisologo, I., Warren, R. A., Mühlbauer, K., and Heistermann, M. (2018): Enhancing the consistency of spaceborne and ground-based radar comparisons by using beam blockage fraction as a quality filter, Atmos. Meas. Tech., 11, 5223-5236.

Vormoor, K., M. Heistermann, A. Bronstert, D. Lawrence (2018): Hydrological model parameter (in)stability – 'crash testing' the HBV model under contrasting flood seasonality conditions. Hydrol. Sc. J., 63(7), 991-1007.

Bronstert, A., A. Agarwal, B. Boessenkool, I. Crisologo, M. Fischer, M. Heistermann, L. Köhn-Reich et al. (2018): Forensic hydro-meteorological analysis of an extreme flash flood: The 2016-05-29 event in Braunsbach, SW Germany, Science of the Total Environment, 630, 977-991.

Uber, M., Vandervaere, J.-P., Zin, I., Braud, I., Heistermann, M., Legoût, C., Molinié, G., and Nord, G. (2018): How does initial soil moisture influence the hydrological response? A case study from southern France, Hydrol. Earth Syst. Sci., 22, 6127–6146.

Boessenkool, B., Bürger, G., and Heistermann, M. (2017): Effects of sample size on estimation of rainfall extremes at high temperatures, Nat. Hazards Earth Syst. Sci., 17, 1623-1629.

Heistermann, M. (2017): HESS Opinions: A Planetary Boundary on Freshwater Use is Misleading, Hydrol. Earth Syst. Sci., 21, 3455-3461.

Bronstert, A., A. Agarwal, B. Boessenkool, M. Fischer, M. Heistermann, L. Köhn-Reich, T. Moran, D. Wendi (2017): The Braunsbach Flashflood of Mai 29th, 2016 – Origin, Pathways and Impacts of an Extreme Hydro-Meteorological Event. Part 1: Meteorological and Hydrological Analysis, Hydrol. Wasserbewirts., 61, (3), 150-162.

Kneis, D., C. C. Abon, A. Bronstert, and M. Heistermann (2017): Verification of short-term runoff forecasts for a small Philippine basin (Marikina), Hydrol. Sc. J., 62(2), 205-216.

Jacobi, S., and M. Heistermann (2016): Benchmarking attenuation correction procedures for six years of single-polarised C-band weather radar observations in South-West Germany, Geomat. Nat. Haz. Risk., 7(6), 1785-1799.

Abon, C. C., D. Kneis, I. Crisologo, A. Bronstert, C. P. C. David, and M. Heistermann (2016): Evaluating the potential of radar-based rainfall estimates for stream flow and flood simulation in the Philippines, Geomat. Nat. Haz. Risk., 7(4), 1390-1405.

Philips, A., Walz, A., Bergner, A., Graeff, T., Heistermann, M., Kienzler, S., Korup, O., Lipp, T., Schwanghart, W., and G. Zeilinger (2015): Immersive 3D geovisualization in higher education, J. Geogr. Higher Educ., 39(3), 1-13.

Vormoor, K., D. Lawrence, M. Heistermann, and A. Bronstert (2015): Climate change impacts on the seasonality and generation processes of floods in catchments with mixed snowmelt/rainfall regimes: projections and uncertainties, Hydrol. Earth Syst. Sci., 19, 913-931.

Heistermann, M., S. Collis, M. J. Dixon, J. J. Helmus, A. Henja, D. B. Michelson, and Thomas Pfaff (2015): An Open Virtual Machine for Cross-Platform Weather Radar Science, Bull. Amer. Soc. Meteor., 96, 1641-1645.

Heistermann, M., S. Collis, M. J. Dixon, S. Giangrande, J. J. Helmus, B. Kelley, J. Koistinen, D. Michelson, M. Peura, T. Pfaff, D. B. Wolff (2015): The Emergence of Open Source Software for the Weather Radar Community, Bull. Amer. Meteor. Soc., 96, 117-128.

Crisologo, I., G. Vulpiani, C. C. Abon, C. P. C. David, A. Bronstert, and M. Heistermann (2014): Polarimetric rainfall retrieval from a C-Band weather radar in a tropical environment (The Philippines). Asia-Pac. J. Atmos. Sci., 50 (1 Supplement), 595-607.

Heistermann, M., T. Francke, C. Georgi, and A. Bronstert (2014): Increasing life expectancy of water resources literature, Water Resour. Res., 50, doi: 10.1002/2014WR015674.

Buerger, G., M. Heistermann, and A. Bronstert (2014): Towards sub-daily rainfall disaggregation via Clausius-Clapeyron, J. Hydromet., 15(3), 1303-1311.

Heistermann, M., Jacobi, S., Pfaff, T. (2013): Technical Note: An open source library for processing weather radar data (wradlib), Hydrol. Earth Syst. Sci., 17, 863-871.

Heistermann, M., I. Crisologo, C. C. Abon, B. A. Racoma, S. Jacobi, N. T. Servando, C. P. C. David, and A. Bronstert (2013): Brief Communication: Using the new Philippine radar network to reconstruct the “Habagat of August 2012” monsoon event around Metropolitan Manila, Nat. Hazards Earth Syst. Sci., 13, 653-657.

Bronstert, A., Creutzfeldt, B., Graeff, T., Hajnsek, I., Heistermann, M., Itzerott, S., Jagdhuber, T., Kneis, D., Lueck, E., Reusser, D., Zehe, E. (2012): Potentials and constraints of different types of soil moisture observations for flood simulations in headwater catchments, Nat. Hazards, 60(3), 879-914.

Heistermann, M., and D. Kneis (2011): Benchmarking quantitative precipitation estimation by conceptual rainfall-runoff modeling, Water Resour. Res., 47, W06514, doi:10.1029/2010WR009153.

Kneis, D., Heistermann, M. (2009): Quality assessment of radar-based precipitation estimates with the example of a small catchment, Hydrol.  Wasserbewirts. 53(3), 158-169.

Del Grosso, S.J., Ojima, D.S., Parton, W.J., Stehfest, E., Heistermann, M., DeAngelo, B., Rose, S. (2009): Global scale DAYCENT model analysis of greenhouse gas emissions and mitigation strategies for cropped soils, Global and Planetary Change, 67(1-2), 44-50.

Stehfest, E., Heistermann, M., Priess, J. A., Ojima, D.S., Alcamo, J. (2007): Simulation of global crop production with the Ecosystem model DayCent. Ecological Modelling, 209(2-4), 203–219.

Heistermann, M., Mueller, C., Ronneberger, K. (2006): Land in sight? Achievements, deficits and potentials of continental to global scale land-use modelling, Agriculture, Ecosystems and Environment, 114(2-4), 141-158.

Heistermann, M., Jene, B., Fent, G., Feyerabend, M., Seppelt, R., Richter, O., Kubiak, R. (2003): Modelling Approaches to Compare Sorption and Degradation of Metsulfuron-methyl in Laboratory Micro-Lysimeter and Batch Experiments, Pest Management Science, 59 (12), 1276-1290.

ORCiD: 0000-0001-9354-1532

Sommersemester

• Seminar Klimatologie (BSc. GEE)
• Seminar Angewandte Klimatologie (BSc. GEE)
• Übung Hydrologie (BSc. GEE)
• Vorlesung Umweltsysteme - Dynamik und Simulation (MSc. GEE)
• Seminar Ökohydrologische Modelle in Forschung und Praxis (MSc. GEE)
• Seminar Geoökologisches Kolloquium (MSc. GEE, PhD GEE)
• Projekt Geoökologie 3 (BSc. GEE)

Wintersemester

• Seminar/Übung Fundamente der Umweltdatenverarbeitung
• Seminar Globale Wasserressourcen (MSc. GEE)
• Übung Einführung in die Modellierung (BSc. GEE)
• Vorlesung Allgemeine Klimatologie (BEd. GEO)
• Seminar Geoökologisches Kolloquium (MSc. GEE, PhD GEE)