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
Liu, X., Liu, W., Tang, Q., Liu, B., Wada, Y., & Yang, H. (2022). Global agricultural water scarcity assessment incorporating blue and green water availability under future climate change. Earth's Future, 10(4), e2021EF002567 (16 pp.). doi:10.1029/2021EF002567, Institutional Repository
David, P. C., Chaffe, P. L. B., Chagas, V. B. P., Dal Molin, M., Oliveira, D. Y., Klein, A. H. F., & Fenicia, F. (2022). Correspondence between model structures and hydrological signatures: a large-sample case study using 508 Brazilian catchments. Water Resources Research, 58(3), e2021WR030619 (20 pp.). doi:10.1029/2021WR030619, Institutional Repository
Prieto, C., Le Vine, N., Kavetski, D., Fenicia, F., Scheidegger, A., & Vitolo, C. (2022). An exploration of Bayesian identification of dominant hydrological mechanisms in ungauged catchments. Water Resources Research, 58(3), e2021WR030705 (28 pp.). doi:10.1029/2021WR030705, Institutional Repository
Mariano, P. M., & Bacci, M. (2022). A discrete-to-continuum model of protein complexes. Biomechanics and Modeling in Mechanobiology. doi:10.1007/s10237-022-01564-7, Institutional Repository
Qi, W., Feng, L., Yang, H., & Liu, J. (2022). Increasing concurrent drought probability in global main crop production countries. Geophysical Research Letters, 49(6), e2021GL097060 (11 pp.). doi:10.1029/2021GL097060, Institutional Repository