Abteilung Systemanalyse, Integrated Assessment und Modellierung

Systemanalyse und Modellierung
In SIAM entwickeln und verwenden wir Modelle und formale Techniken für natürliche, technische, soziale und ökonomische Systeme, die Wasser und andere natürliche Ressourcen betreffen. Unser Ziel ist es, das Verhalten dieser Systeme zu demonstrieren, es zu verstehen und vorherzusagen. Erfahren Sie mehr
Neue Publikationen
Rizzo, R., Dziadosz, M., Kyathanahally, S. P., Shamaei, A., & Kreis, R. (2022). Quantification of MR spectra by deep learning in an idealized setting: investigation of forms of input, network architectures, optimization by ensembles of networks, and training bias. Magnetic Resonance in Medicine. doi:10.1002/mrm.29561, Institutional Repository
Qi, W., Feng, L., Liu, J., & Yang, H. (2022). Growing hydropower potential in China under 1.5 °C and 2.0 °C global warming and beyond. Environmental Research Letters, 17(11), 114049 (11 pp.). doi:10.1088/1748-9326/ac9c72, Institutional Repository
Zhang, X., Yang, H., Zhang, W., Fenicia, F., Peng, H., & Xu, G. (2022). Hydrologic impacts of cascading reservoirs in the middle and lower Hanjiang River basin under climate variability and land use change. Journal of Hydrology: Regional Studies, 44, 101253 (22 pp.). doi:10.1016/j.ejrh.2022.101253, Institutional Repository
Kyathanahally, S. P., Hardeman, T., Reyes, M., Merz, E., Bulas, T., Brun, P., … Baity-Jesi, M. (2022). Ensembles of data-efficient vision transformers as a new paradigm for automated classification in ecology. Scientific Reports, 12, 18590 (11 pp.). doi:10.1038/s41598-022-21910-0, Institutional Repository
Viswanathan, M., Scheidegger, A., Streck, T., Gayler, S., & Weber, T. K. D. (2022). Bayesian multi-level calibration of a process-based maize phenology model. Ecological Modelling, 474, 110154 (16 pp.). doi:10.1016/j.ecolmodel.2022.110154, Institutional Repository