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Classification issues within ensemble-based simulation: application to surge floods forecasting
Authors:Email authorEmail author  Aleksey?V?Krikunov  Konstantin?V?Knyazkov  Alexander?V?Boukhanovsky
Institution:1.ITMO University,Saint Petersburg,Russia
Abstract:The paper proposes a high-level conceptual and technological approach to manage the ensemble-based simulation, taking into account changing states of both simulated system and system of models. The approach includes systematization of ensemble-based modeling and simulation techniques, analysis of simulation results, quality assessments, and detailed analysis of ensemble management procedures using classification operators. The technological basis for such an approach includes ensemble-based simulation techniques using domain-specific software combined within a composite application; data science approaches for analysis of available datasets (simulation data, observations, situation assessments, etc.). Within this work, a set of case studies is addressed to examine the opportunities provided by the developed approach considering ensemble-based simulation of storm surges for flood prediction in St. Petersburg, Russia as an example.
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