Data Science helps us work with very large and complex geodata and hydrodynamics data., , Raw data often have errors or missing values, so we must clean them first., , We align data in space and time to make different datasets match each other., , Interpolation helps fill gaps when measurements are missing., , Machine-learning models can classify land, detect water and predict river discharge., , Time-series models help forecast river levels and other changes over time., , Data Science improves hydrodynamic models by adding real-time sensor data., , Maps, graphs and 3D models help us see patterns in water and terrain data., , Real-time systems use sensors and predictive models to warn about floods., , Specialists must explain results clearly and understand the uncertainty in the data., .

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