IIASA Water Security Research Group (WAT) colleagues led two training workshop sessions on water modeling in April. The sessions were hosted by the Grand Water Research Institute, in Haifa, Israel.
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As part of the WAT project WFaS-Israel, WAT researchers conducted two successful training sessions on the Community Water Model (CWatM), together with Israeli colleagues at the Grand Water Research Institute at the Technion Israel Institute of Technology. The training introduced CWatM to a diverse audience of researchers, graduate students, and private and public sectors water experts. It provided the participants with basic and intermediate level tools for running hydrologic simulations, and access to the CWatM global datasets.
WAT Publications
Mohammadnezhad, M., Rezaee, A., & Smilovic, M. (2026). Multi-timescale streamflow projections in human-regulated basins of southwest Iran using CWatM and explainable machine learning. Journal of Hydrology: Regional Studies 66 e103534. 10.1016/j.ejrh.2026.103534.
Artuso, S., Politti, E., Burek, P. , Tramberend, S. , Smilovic, M. , & Kahil, T. (2026). Crop Water Use and Future Irrigation Scenarios within a Safe Operating Space Framework in the Danube Basin. DOI:10.5194/egusphere-egu26-13157. In: EGU General Assembly 2026, 03 May - 08 May 2026, Vienna.
Burek, P. (2026). Attribution of glacier runoff to river streamflow in the Danube Basin. DOI:10.5194/egusphere-egu26-11119. In: EGU General Assembly 2026, 03 May - 08 May 2026, Vienna.
Sun, M., Tangdamrongsub, N., Sun, Y., Dong, J., Sutanudjaja, E., & Smilovic, M. (2026). Assessing and optimizing high-resolution global river streamflow estimates with triple collocation analysis. Journal of Hydrology 669 e135122. 10.1016/j.jhydrol.2026.135122.
Cai, K., Li, J., Jiang, Q., Hu, L., Fu, J., Zhang, M., Li, Y., Qin, Y., & Liu, Y. (2026). Enhancing hydrological modeling in large basin with intensive human water use through hierarchical parameterization and bias-integrated calibration. Water Cycle 7 219-233. 10.1016/j.watcyc.2025.10.003.
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