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Dr. Mikhail Smilovic is a Research Scholar with the IIASA Water (WAT) program, where he is investigating issues related to water and food security through simulations and stakeholder-driven model development.
Humans influence the pattern of how water moves within the hydrological cycle. This includes collecting, managing, and distributing water from rainfall, rivers, reservoirs, and groundwater aquifers. This water then satisfies agricultural, domestic, and industrial water interests. Simulating the water cycle in managed regions to address questions of water security necessitates including certain processes related to human interactions within the water cycle. Simulating at finer resolutions offers both the opportunity and challenge of including human-integrated processes that at coarser resolutions are either absorbed into other processes, not possible, or not relevant, while at higher resolutions are necessary to sufficiently represent the system.
Dr. Smilovic is further developing the hydrological model CWatM created at IIASA, increasing the resolution and improving representations of human interactions within the water cycle.
Last update: 30-SEP-2020
Burek, P. , Smilovic, M., Guillaumot, L. , de Bruijn, J. , Greve, P., Satoh, Y., Islaam, A., Virgen-Urcelay, A., et al. (2020). Community Water Model CWatM Manual. IIASA Report. Laxenburg, Austria: IIASA
Burek, P. , Satoh, Y., Kahil, T. , Tang, T. , Greve, P., Smilovic, M., Guillaumot, L. , Zhao, F., et al. (2020). Development of the Community Water Model (CWatM v1.04) – a high-resolution hydrological model for global and regional assessment of integrated water resources management. Geoscientific Model Development 13 (7), 3267-3298. 10.5194/gmd-13-3267-2020.
Rovenskaya, E. , Aghababaei Samani, K., Baklanov, A. , Ermolieva, T., Folberth, C. , Fritz, S., Hadi, H., Javalera Rincón, V. , et al. (2019). Artificial Intelligence and Machine Learning for Systems Analysis of the 21st Century. IIASA Working Paper. Laxenburg, Austria: WP-19-010
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