Mapping dominant runoff processes: an evaluation of different approaches
using similarity measures and synthetic runoff simulations

Antonetti, Manuel; Buss, Rahel; Scherrer, Simon; Margreth, Michael; Zappa, Massimiliano

doi:https://doi.org/10.5194/hess-20-2929-2016

Articles | Volume 20, issue 7

https://doi.org/10.5194/hess-20-2929-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/hess-20-2929-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 20, issue 7

Research article

|

20 Jul 2016

Research article |

| 20 Jul 2016

Mapping dominant runoff processes: an evaluation of different approaches using similarity measures and synthetic runoff simulations

Manuel Antonetti, Rahel Buss, Simon Scherrer, Michael Margreth, and Massimiliano Zappa

Data sets

Precipitation data Federal Office of Meteorology and Climatology MeteoSwiss http://www.meteoswiss.admin.ch/

GIS data Federal Office of Topography swisstopo https://www.swisstopo.admin.ch/

The hydrological modelling system PREVAH Institute of Geography, University of Bern http://www.hydrologie.unibe.ch/PREVAH

Mapcurves algorithm Emil van Loon https://staff.fnwi.uva.nl/e.e.vanloon/paco.html

Short summary

We evaluated three automatic mapping approaches of dominant runoff processes (DRPs) with different complexity using similarity measures and synthetic runoff simulations. The most complex DRP maps were the most similar to the reference maps. Runoff simulations derived from the simpler DRP maps were more uncertain due to inaccuracies in the input data and rather coarse simplifications in the mapping criteria. It would thus be worthwhile trying to obtain DRP maps that are as realistic as possible.