研究者ポートフォリオ
Paprotny, Dominik
Potsdam Institute for Climate Impact Research
研究者プロフィール
現職: Potsdam Institute for Climate Impact Research
研究者ID: https://publications.pik-potsdam.de/cone/persons/resource/Dominik.Paprotny
出版物
: Tilloy, A., Paprotny, D., Grimaldi, S., Gomes, G., Bianchi, A., Lange, S., Beck, H., Mazzetti, C., & Feyen, L. (2025). HERA: a high-resolution pan-European hydrological reanalysis (1951–2020). Earth System Science Data, 17(1), 293-316. doi:10.5194/essd-17-293-2025. [PubMan] : Paprotny, D., 't Hart, C. M. P., & Morales-Nápoles, O. (2024). Evolution of flood protection levels and flood vulnerability in Europe since 1950 estimated with vine-copula models. Natural Hazards. doi:10.1007/s11069-024-07039-5. [PubMan] : Paprotny, D., Terefenko, P., & Śledziowski, J. (2024). HANZE v2.1: an improved database of flood impacts in Europe from 1870 to 2020. Earth System Science Data, 16(11), 5145-5170. doi:10.5194/essd-16-5145-2024. [PubMan] : Terefenko, P., Giza, A., Śledziowski, J., Paprotny, D., Bučas, M., & Kelpšaitė-Rimkienė, L. (2024). Classification of soft cliff dynamics using remote sensing and data mining techniques. Science of the Total Environment, 947:. doi:10.1016/j.scitotenv.2024.174743. [PubMan] : Paprotny, D., Rhein, B., Vousdoukas, M. I., Terefenko, P., Dottori, F., Treu, S., Śledziowski, J., Feyen, L., & Kreibich, H. (2024). Merging modelled and reported flood impacts in Europe in a combined flood event catalogue for 1950–2020. Hydrology and Earth System Sciences, 28(17), 3983-4010. doi:10.5194/hess-28-3983-2024. [PubMan] : [PubMan] : Schoppa, L., Barendrecht, M. H., Paprotny, D., Sairam, N., Sieg, T., & Kreibich, H. (2024). Projecting Flood Risk Dynamics for Effective Long‐Term Adaptation. Earth's Future, 12(3):. doi:10.1029/2022EF003258. [PubMan] : Tilloy, A., Paprotny, D., Luc, F., Grimaldi, S., Goncalo, G., Hylcke, B., Lange, S., & Bianchi, A. (2024). HERA: a high-resolution pan-European hydrological reanalysis (1950-2020). doi:10.2905/a605a675-9444-4017-8b34-d66be5b18c95. [PubMan] : Soriano, E., Schröter, K., Ullrich, S., Paprotny, D., Bagli, S., Sánchez, D. S., Cueto-Felgueroso, L., & Mediero, L. (2023). Assessing the impact of climate change on fluvial flood losses in urban areas: a case study of Pamplona (Spain). Hydrological Sciences Journal, 68(13), 1769-1793. doi:10.1080/02626667.2023.2246452. [PubMan] : Monioudi, I., Velegrakis, A., Chatzistratis, D., Vousdoukas, M., Savva, C., Wang, D., Bove, G., Mentaschi, L., Paprotny, D., Morales-Napoles, O., Chatzipavlis, A., Hasiotis, T., & Manoutsoglou, E. (2023). Climate change - induced hazards on touristic island beaches: Cyprus, Eastern Mediterranean. Frontiers in Marine Science, 10:. doi:10.3389/fmars.2023.1188896. [PubMan] : Paprotny, D., & Mengel, M. (2023). Population, land use and economic exposure estimates for Europe at 100 m resolution from 1870 to 2020. Scientific Data, 10:. doi:10.1038/s41597-023-02282-0. [PubMan] : Paprotny, D. (2023). Pan-European exposure maps and uncertainty estimates from HANZE v2.0 model, 1870-2020. doi:10.5281/zenodo.7885990. [PubMan] : Koot, P., Mendoza-Lugo, M. A., Paprotny, D., Morales-Nápoles, O., Ragno, E., & Worm, D. T. (2023). PyBanshee version (1.0): A Python implementation of the MATLAB toolbox BANSHEE for Non-Parametric Bayesian Networks with updated features. SoftwareX, 21:. doi:10.1016/j.softx.2022.101279. [PubMan] : Paprotny, D. (2023). HANZE v2.0 exposure model. doi:10.5281/zenodo.7556953. [PubMan] : Steinhausen, M., Paprotny, D., Dottori, F., Sairam, N., Mentaschi, L., Alfieri, L., Lüdtke, S., Kreibich, H., & Schröter, K. (2022). Drivers of future fluvial flood risk change for residential buildings in Europe. Global Environmental Change, 76:. doi:10.1016/j.gloenvcha.2022.102559. [PubMan] : Paprotny, D. (2022). HANZE v2.0 exposure model input data. doi:10.5281/zenodo.6783023. [PubMan] : Paprotny, D. (2022). Residential exposure to natural hazards in Europe, 2000–2020. doi:10.5281/zenodo.6573503. [PubMan] : Terefenko, P., Lubczonek, J., & Paprotny, D. (2021). Editorial on Special Issue “Remote Sensing Applications in Coastal Environment” [Editorial]. Remote Sensing, 13(23):. doi:10.3390/rs13234734. [PubMan] : Terefenko, P., Lubczonek, J., & Paprotny, D. (Eds. ). (2021). Remote Sensing Applications in Coastal Environment. Basel: MDPI. [PubMan]