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Problem Solving Environment for Development and Maintenance of St. Petersburg's Flood Warning System.

, , and . ICCS, volume 29 of Procedia Computer Science, page 1667-1676. Elsevier, (2014)

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Problem Solving Environment for Development and Maintenance of St. Petersburg's Flood Warning System., , and . ICCS, volume 29 of Procedia Computer Science, page 1667-1676. Elsevier, (2014)Cloud Technology for Forecasting Accuracy Evaluation of Extreme Metocean Events., , and . ICCS, volume 51 of Procedia Computer Science, page 2933-2937. Elsevier, (2015)Towards a scenario-based solution for extreme metocean event simulation applying urgent computing., , , , and . Future Gener. Comput. Syst., (2018)Data Quality Control for St. Petersburg Flood Warning System., , , , and . ICCS, volume 80 of Procedia Computer Science, page 2128-2140. Elsevier, (2016)Virtual Simulation Objects concept as a framework for system-level simulation., , , and . eScience, page 1-8. IEEE Computer Society, (2012)Adaptation of NEMO-LIM3 model for multigrid high resolution Arctic simulation., , , and . CoRR, (2018)Simulation-based collaborative decision support for surge floods prevention in St. Petersburg., , , and . J. Comput. Sci., 3 (6): 450-455 (2012)Erratum to "Simulation-based collaborative decision support for surge floods prevention in St. Petersburg" J. Comput. Sciience 3 (2012) 450-455., , , and . J. Comput. Sci., 4 (5): 438 (2013)