Data-driven system identification of the WEFE nexus: Challenges and prospects
- 1Uppsala University, Department of Earth Sciences, Uppsala, Sweden (elise.jonsson@geo.uu.se)
- 2Uppsala University, Department of Information Technology, Uppsala, Sweden
- 3Unviersity of Belgrade, Department of Hydrotechnics and Water Environmental Engineering, Belgrade, Serbia
- 4Land and Water Management Department, IHE Delft Institute for Water Education, Delft, Netherlands
The Water-Energy-Food-Ecosystem (WEFE) nexus presents many challenges with regards to modelling. While attempts at conceptual modelling of this nexus have been made, increasing data availability due to electrification, smart infrastructure, and digitization of these sectors encourages a data-driven approach to system identification and control. Data-driven methods have had wide success in disciplines dealing with similar challenges as the WEFE nexus, such as the multiplicity of scales, nonlinearity and chaos, high dimensionality, fuzzy and stochastic social dynamics, as well as rare- or extreme event exposure. Here we provide a brief summary of data-driven methods of system identification that may address these challenges by looking at cross-disciplinary applications and its relevance for the WEFE nexus.
How to cite: Jonsson, E., Teutschbein, C., Blicharska, M., Francisco, A., Todorovic, A., Sušnik, J., and Grabs, T.: Data-driven system identification of the WEFE nexus: Challenges and prospects, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-20260, https://doi.org/10.5194/egusphere-egu24-20260, 2024.
