• Niederschlagsquantifizierung durch opportunistische Sensoren wie kommerzielle Mikrowellen-Richtfunkstrecken und private Wetterstationen
• Raum-zeitliche Variabilität von Niederschlag
• Wechselwirkungen zwischen der Landoberfläche und der Atmosphäre
• Grenzschicht-Meteorologie und thermische Zirkulationsysteme

ausgewählte Vorträge

Graf, M., Chwala, C., Polz, J., Kunstmann, H., (2019): The challenge of processing one year of German-wide CML data. 26.06.2019, Symposium on the hydrometeorological usage of data from commercial microwave link networks, Garmisch-Partenkirchen.

Graf, M., Chwala, C., Kunstmann, H., (2019): Performance analysis of more than one year of countrywide rainfall derived from commercial microwave link data in Germany. 11.04.2019, EGU, Wien

Selected journal articles

Graf, M., El Hachem, A., Eisele, M., Seidel, J., Chwala, C., Kunstmann, H., & Bárdossy, A.:Rainfall estimates from opportunistic sensors in Germany across spatio-temporal scales. Journal of Hydrology: Regional Studies, 37, 100883, https://doi.org/10.1016/j.ejrh.2021.100883, 2021.

Arnault, J., Fersch, B., Rummler, T., Zhang, Z., Quenum, G. M., Wei, J., Graf, M., Laux, P., & Kunstmann, H.: Lateral terrestrial water flow contribution to summer precipitation at continental scale–A comparison between Europe and West Africa with WRF‐Hydro‐tag ensembles. Hydrological Processes, 35(5), e14183, https://doi.org/10.1002/hyp.14183, 2021.

Polz, J., Chwala, C., Graf, M., and Kunstmann, H.: Rain event detection in commercial microwave link attenuation data using convolutional neural networks, Atmos. Meas. Tech., 13, 3835–3853, https://doi.org/10.5194/amt-13-3835-2020, 2020.

Graf, M., Chwala, C., Polz, J., and Kunstmann, H.: Rainfall estimation from a German-wide commercial microwave link network: optimized processing and validation for 1 year of data, Hydrol. Earth Syst. Sci., 24, 2931–2950, https://doi.org/10.5194/hess-24-2931-2020, 2020.

Graf, M., Kossmann, M., Trusilova, K. and Mühlbacher, G.: Identification and Climatology of Alpine Pumping from a Regional Climate Simulation. Front. Earth Sci. 4:5. doi: 10.3389/feart.2016.00005, 2016.

Publikationsliste