Corpus ID: 237532683

Validation and Improvement of Data Assimilation for Flood Hydrodynamic Modelling Using SAR Imagery Data

@inproceedings{Nguyen2021ValidationAI,
  title={Validation and Improvement of Data Assimilation for Flood Hydrodynamic Modelling Using SAR Imagery Data},
  author={Thanh Huy Nguyen and Anth'ea Delmotte and Christophe Fatras and Peter Kettig and Andrea Piacentini and Sophie Ricci},
  year={2021}
}
Relevant comprehension of flood hazards has emerged as a crucial necessity, especially as the severity and the occurrence of flood events may intensify with climate changes. Flood simulation and forecast capability have been greatly improved thanks to advances in data assimilation. This approach combines in-situ gauge measurements with hydrodynamic models, which aims at correcting the hydraulic states and reducing the uncertainties in the model parameters, e.g., friction coefficients, inflow… Expand

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