Forscher Portfolio
Braun, Tobias
Potsdam Institute for Climate Impact Research
Forscherprofil
Position: Potsdam Institute for Climate Impact Research
Forscher ID: https://publications.pik-potsdam.de/cone/persons/resource/tobraun
Veröffentlichungen
: Nava‐Fernandez, C., Braun, T., Pederson, C. L., Fox, B., Hartland, A., Kwiecien, O., Höpker, S. N., Bernasconi, S., Jaggi, M., Hellstrom, J., Gázquez, F., French, A., Marwan, N., Immenhauser, A., & Breitenbach, S. F. M. (2024). Mid‐Holocene rainfall seasonality and ENSO dynamics over the south‐western Pacific. The Depositional Record, 10, 176-194. doi:10.1002/dep2.268. [PubMan] : Haselhoff, T., Braun, T., Fiebig, A., Hornberg, J., Lawrence, B. T., Marwan, N., & Moebus, S. (2023). Complex networks for analyzing the urban acoustic environment. Ecological Informatics, 78: 102326. doi:10.1016/j.ecoinf.2023.102326. [PubMan] : Wolf, A., Ersek, V., Braun, T., French, A. D., McGee, D., Bernasconi, S. M., Skiba, V., Griffiths, M. L., Johnson, K. R., Fohlmeister, J., Breitenbach, S. F. M., Pausata, F. S. R., Tabor, C. R., Longman, J., Roberts, W. H. G., Chandan, D., Peltier, W. R., Salzmann, U., Limbert, D., Trinh, H. Q., & Trinh, A. D. (2023). Deciphering local and regional hydroclimate resolves contradicting evidence on the Asian monsoon evolution. Nature Communications, 14: 5697. doi:10.1038/s41467-023-41373-9. [PubMan] : Marwan, N., & Braun, T. (2023). Power spectral estimate for discrete data. Chaos, 33(5): 053118. doi:10.1063/5.0143224. [PubMan] : Braun, T., Breitenbach, S. F. M., Skiba, V., Lechleitner, F. A., Ray, E. E., Baldini, L. M., Polyak, V. J., Baldini, J. U. L., Kennett, D. J., Prufer, K. M., & Marwan, N. (2023). Decline in seasonal predictability potentially destabilized Classic Maya societies. Communications Earth and Environment, 4: 82. doi:10.1038/s43247-023-00717-5. [PubMan] : Marwan, N., & Braun, T. (2023). Power spectral estimate for discrete data. Geneva: CERN / Zenodo. doi:10.5281/zenodo.7555049. [PubMan] : Braun, T., Krämer, K.-H., & Marwan, N. (2023). Recurrence flow measure of nonlinear dependence. European Physical Journal - Special Topics, 232(1), 57-67. doi:10.1140/epjs/s11734-022-00687-3. [PubMan] : Haselhoff, T., Braun, T., Hornberg, J., Lawrence, B. T., Ahmed, S., Gruehn, D., & Moebus, S. (2022). Analysing Interlinked Frequency Dynamics of the Urban Acoustic Environment. International Journal of Environmental Research and Public Health, 19(22): 15014. doi:10.3390/ijerph192215014. [PubMan] : Mukhin, D., Hannachi, A., Braun, T., & Marwan, N. (2022). Revealing recurrent regimes of mid-latitude atmospheric variability using novel machine learning method. Chaos, 32(11): 113105. doi:10.1063/5.0109889. [PubMan] : Braun, T., Fernandez, C. N., Eroglu, D., Hartland, A., Breitenbach, S. F. M., & Marwan, N. (2022). Sampling rate-corrected analysis of irregularly sampled time series. Physical Review E, 105(2): 024206. doi:10.1103/PhysRevE.105.024206. [PubMan] : Kwiecien, O., Braun, T., Brunello, C. F., Faulkner, P., Hausmann, N., Helle, G., Hoggarth, J. A., Ionita, M., Jazwa, C. S., Kelmelis, S., Marwan, N., Nava-Fernandez, C., Nehme, C., Opel, T., Oster, J. L., Perşoiu, A., Petrie, C., Prufer, K., Saarni, S. M., Wolf, A., & Breitenbach, S. F. (2022). What we talk about when we talk about seasonality – A transdisciplinary review. Earth-Science Reviews, 225: 103843. doi:10.1016/j.earscirev.2021.103843. [PubMan] : Braun, T., Unni, V., Sujith, R., Kurths, J., & Marwan, N. (2021). Detection of dynamical regime transitions with lacunarity as a multiscale recurrence quantification measure. Nonlinear Dynamics, 104(4), 3955-3973. doi:10.1007/s11071-021-06457-5. [PubMan] : Braun, T., Waechter, M., Peinke, J., & Guhr, T. (2020). Correlated power time series of individual wind turbines: A data driven model approach. Journal of Renewable and Sustainable Energy, 12(2): 023301. doi:10.1063/1.5139039. [PubMan]