Proceedings of IAHS
Proceedings of IAHS
PIAHS
Articles | Volume 373
Articles | Volume 373
https://doi.org/10.5194/piahs-373-167-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/piahs-373-167-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 373
12 May 2016
 | 12 May 2016

Improvement of operational flood forecasting through the assimilation of satellite observations and multiple river flow data

Fabio Castelli and Giulia Ercolani

Viewed

Total article views: 1,331 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
765 472 94 1,331 137 146
  • HTML: 765
  • PDF: 472
  • XML: 94
  • Total: 1,331
  • BibTeX: 137
  • EndNote: 146
Views and downloads (calculated since 12 May 2016)
Cumulative views and downloads (calculated since 12 May 2016)

Cited

Latest update: 14 Dec 2024
Download
Short summary
Improving flood forecasting can strengthen the reduction of floods impacts through early warning systems. Our study presents improvements obtained with the integration of a data assimilation system into a hydrological model that is part of the operational forecasting chain for Arno river (central Italy). The system effectively combines the model with observations of river flow at multiple locations and satellite data, leading to more accurate predictions of flood peak flow.
Read more