Journal cover Journal topic
Natural Hazards and Earth System Sciences An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 2.883 IF 2.883
  • IF 5-year value: 3.321 IF 5-year
    3.321
  • CiteScore value: 3.07 CiteScore
    3.07
  • SNIP value: 1.336 SNIP 1.336
  • IPP value: 2.80 IPP 2.80
  • SJR value: 1.024 SJR 1.024
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 81 Scimago H
    index 81
  • h5-index value: 43 h5-index 43
NHESS | Articles | Volume 19, issue 5
Nat. Hazards Earth Syst. Sci., 19, 1041–1053, 2019
https://doi.org/10.5194/nhess-19-1041-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue: Global- and continental-scale risk assessment for natural...

Nat. Hazards Earth Syst. Sci., 19, 1041–1053, 2019
https://doi.org/10.5194/nhess-19-1041-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 16 May 2019

Research article | 16 May 2019

Stochastic generation of spatially coherent river discharge peaks for continental event-based flood risk assessment

Dirk Diederen et al.
Related authors  
The open boundary equation
D. Diederen, H. H. G. Savenije, and M. Toffolon
Ocean Sci. Discuss., https://doi.org/10.5194/osd-12-925-2015,https://doi.org/10.5194/osd-12-925-2015, 2015
Revised manuscript not accepted
Related subject area  
Hydrological Hazards
Multicriteria assessment framework of flood events simulated with vertically mixed runoff model in semiarid catchments in the middle Yellow River
Dayang Li, Zhongmin Liang, Yan Zhou, Binquan Li, and Yupeng Fu
Nat. Hazards Earth Syst. Sci., 19, 2027–2037, https://doi.org/10.5194/nhess-19-2027-2019,https://doi.org/10.5194/nhess-19-2027-2019, 2019
Short summary
Decreasing uncertainty in flood frequency analyses by including historic flood events in an efficient bootstrap approach
Anouk Bomers, Ralph M. J. Schielen, and Suzanne J. M. H. Hulscher
Nat. Hazards Earth Syst. Sci., 19, 1895–1908, https://doi.org/10.5194/nhess-19-1895-2019,https://doi.org/10.5194/nhess-19-1895-2019, 2019
Short summary
Evaluating the impact of model complexity on flood wave propagation and inundation extent with a hydrologic–hydrodynamic model coupling framework
Jannis M. Hoch, Dirk Eilander, Hiroaki Ikeuchi, Fedor Baart, and Hessel C. Winsemius
Nat. Hazards Earth Syst. Sci., 19, 1723–1735, https://doi.org/10.5194/nhess-19-1723-2019,https://doi.org/10.5194/nhess-19-1723-2019, 2019
Short summary
Improving the understanding of flood risk in the Alsatian region by knowledge capitalization: the ORRION participative observatory
Florie Giacona, Brice Martin, Benjamin Furst, Rüdiger Glaser, Nicolas Eckert, Iso Himmelsbach, and Charlotte Edelblutte
Nat. Hazards Earth Syst. Sci., 19, 1653–1683, https://doi.org/10.5194/nhess-19-1653-2019,https://doi.org/10.5194/nhess-19-1653-2019, 2019
Short summary
Brief communication: Preliminary hydro-meteorological analysis of the flash flood of 20 August 2018 in Raganello Gorge, southern Italy
Elenio Avolio, Ottavio Cavalcanti, Luca Furnari, Alfonso Senatore, and Giuseppe Mendicino
Nat. Hazards Earth Syst. Sci., 19, 1619–1627, https://doi.org/10.5194/nhess-19-1619-2019,https://doi.org/10.5194/nhess-19-1619-2019, 2019
Short summary
Cited articles  
Alfieri, L., Salamon, P., Bianchi, A., Neal, J., Bates, P., and Feyen, L.: Advances in pan-European flood hazard mapping, Hydrol. Process., 28, 4067–4077, 2014. a
Borgomeo, E., Farmer, C. L., and Hall, J. W.: Numerical rivers: A synthetic streamflow generator for water resources vulnerability assessments, Water Resour. Res., 51, 5382–5405, 2015. a
Boughton, W. and Droop, O.: Continuous simulation for design flood estimation-a review, Environ. Modell. Softw., 18, 309–318, 2003. a
Cameron, D., Beven, K., Tawn, J., Blazkova, S., and Naden, P.: Flood frequency estimation by continuous simulation for a gauged upland catchment (with uncertainty), J. Hydrol., 219, 169–187, https://doi.org/10.1016/S0022-1694(99)00057-8, 1999. a
Coles, S., Bawa, J., Trenner, L., and Dorazio, P.: An introduction to statistical modeling of extreme values, vol. 208, Springer, London, 2001. a
Publications Copernicus
Download
Short summary
Floods affect many communities and cause a large amount of damage worldwide. Since we choose to live in natural flood plains and are unable to prevent all floods, a system of insurance and reinsurance was set up. For these institutes to not fail, estimates are required of the frequency of large-scale flood events. We explore a new method to obtain a large catalogue of synthetic, spatially coherent, large-scale river discharge events, using a recent (gridded) European discharge data set.
Floods affect many communities and cause a large amount of damage worldwide. Since we choose to...
Citation