EGU23-13966
https://doi.org/10.5194/egusphere-egu23-13966
EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Analysing random spatio-temporal variability of storm events for hydrological modelling

Leonor Rodriguez-Sinobas1, Sergio Zubelzu1, Carlota Bernal1, María Teresa Gómez2, Jesús López Santiago2, Andrea Zanella3, Mehdi Bennis4, Martina Capuzzo3, Sara E. Matendo1, Abdulmomen Ghalkha4, and Chaouki Ben Issaid4
Leonor Rodriguez-Sinobas et al.
  • 1UNIVERSIDAD POLITÉCNICA DE MADRID, Hydraulic for Irrigation Research Group.Escuela Técnica Superior de Ingeniería Agronómica, Alimentaria y de Biosistemas. Universidad Politécnica de Madrid. Avenida Puerta del hierro 2-4, 28040 (Madrid)(leonor.rodriguez.s
  • 2UNIVERSIDAD POLITÉCNICA DE MADRID,. Escuela Técnica Superior de Ingeniería Agronómica, Alimentaria y de Biosistemas. Universidad Politécnica de Madrid. Avenida Puerta del hierro 2-4, 28040 (Madrid). carlota.bernal.basurco@upm.es
  • 3Department of Information Engineering. University of Padova. V. Gradenigo, 6/B 35131 Padova (Italy). ( zanella@dei.unipd.it)
  • 4Faculty of Information Technology and Electrical Engineering. University of Oulu. Pentti Kaiteran katu 1, Linnanmaa. (mehdi.bennis@oulu.fi)

How to cite: Rodriguez-Sinobas, L., Zubelzu, S., Bernal, C., Gómez, M. T., López Santiago, J., Zanella, A., Bennis, M., Capuzzo, M., Matendo, S. E., Ghalkha, A., and Ben Issaid, C.: Analysing random spatio-temporal variability of storm events for hydrological modelling, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-13966, https://doi.org/10.5194/egusphere-egu23-13966, 2023.

This abstract has been withdrawn on 24 Apr 2023.