Profile: ShariCostas4

Your personal background.
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Schröter, K., Kunz, M., Elmer, F., Mühr, B. & Merz,
B. What made the June 2013 flood in Germany an exceptional event?
A hydro-meteorological evaluation. Hydrol. Earth Syst.
Sci. Merz, R. & Blöschl, G. Process controls on the
statistical flood moments - a data based analysis.
Norbiato, D., Borga, M., Merz, R., Blöschl, G.

& Carton, A. Controls on event runoff coefficients in the eastern Italian Alps.
Bennett, B., Leonard, M., Deng, Y. & Westra, S. An empirical investigation into the effect of antecedent precipitation on flood volume.
Tromp-van Meerveld, H. J. & McDonnell, J. J. Threshold relations in subsurface stormflow:
2. The fill and spill hypothesis. Rogger, M. et al. Step changes in the flood frequency curve:
process controls. Rogger, M., Viglione, A., Derx, J.

& Blöschl, G. Quantifying effects of catchments storage thresholds on step changes in the flood frequency curve.
Blöschl, G., Merz, R. & Reszler, C. Floods
in Austria. In Extreme Hydrological Events: New Concepts for Security.


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2014). The risk of coastal flooding has been assessed similarly on a global scale, by modelling storm surges heights, determining potential inundation areas using elevation data and using macro-economic and population data to
determine the exposure in major coastal cities (e.g.

Nicholls et al. 2008; Hallegatte et al. 2013).
The results of the latter studies show that the increase in exposure to coastal flooding alone could lead to an eightfold increase in losses, with climate change potentially adding further to the increase in risk.
The accurate representation of vulnerability and flood protection has been the largest
obstacle in large-scale flood risk assessment (Jongman et al.
2012a; Feyen et al. 2012). First efforts to include flood protection measures in risk assessment have been presented on European (Jongman et al.
2014) and global (Hallegatte et al. 2013, Ward et al.

2013) scales. These studies show that the flood protection standards assumed in the modelling process have a large effect
on the computed risk estimates, which illustrates the benefits of adaptation but also highlights that this ontological uncertainty
in flood protection levels can strongly affect model outcomes.


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