Natural Hazards and Earth System Sciences
Natural Hazards and Earth System Sciences
NHESS
Articles | Volume 19, issue 7
Articles | Volume 19, issue 7
https://doi.org/10.5194/nhess-19-1415-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-19-1415-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 7
Research article
 | 
16 Jul 2019
Research article |  | 16 Jul 2019

What's streamflow got to do with it? A probabilistic simulation of the competing oceanographic and fluvial processes driving extreme along-river water levels

Katherine A. Serafin, Peter Ruggiero, Kai Parker, and David F. Hill

Viewed

Total article views: 4,950 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
3,680 1,156 114 4,950 289 142 158
  • HTML: 3,680
  • PDF: 1,156
  • XML: 114
  • Total: 4,950
  • Supplement: 289
  • BibTeX: 142
  • EndNote: 158
Views and downloads (calculated since 09 Jan 2019)
Cumulative views and downloads (calculated since 09 Jan 2019)

Viewed (geographical distribution)

Total article views: 4,950 (including HTML, PDF, and XML) Thereof 4,403 with geography defined and 547 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 08 Nov 2025
Download
Short summary
In coastal environments, extreme water levels driving flooding are often generated by many individual processes like storm surge, streamflow, and tides. To estimate flood drivers along a coastal river, we merge statistical simulations of ocean and river forcing with a hydraulic model to produce water levels. We find both ocean and river forcing are necessary for producing extreme flood levels like the 100-yr event, highlighting the need for considering compound events in flood risk assessments.
Read more
Share
Altmetrics
Final-revised paper
Preprint