Department Systems Analysis, Integrated Assessment and Modelling

Systems Analysis, Integrated Assessment and Modelling
In SIAM, we develop and apply models and formal techniques in order to understand, demonstrate, and predict the behavior of natural, technical, social and economical systems that pertain to water and other natural resources. Read more
New Publications
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