Abstract

Abstract. The sensitivity of a geomorphology-based hydrological modelling is evaluated according to four DEMs from 5 to 50 m resolution in Brittany, France. A set of 8 basins (5–565.7 km2) is used in a pseudo-ungauged context to explore the potential of Prediction in Ungauged Basin (PUB). The results show that despite slight differences on the stream networks extracted from DEMs and associated transfer functions, a coarse-worldwide DEM such as SRTM (25 m) supported similar performances than the finer French DEM (5 m) based on three validation indices. Finer DEMs may be useful only on headwater basins to gain a marginal performance.

Highlights

  • Prediction in Ungauged Basin remains an ambitious task, especially when dealing with discharge time series, i.e. hydrographs, and derived statistics of regimes (Blöschl et al, 2013; Hrachowitz et al, 2013)

  • Cudennec (2000) proposed the inversion of a geomorphology-based transfer function to assess the space averaged net rainfall series from a measured discharge series

  • The stream network extracted from SRTM is in the same range of differences

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Summary

Introduction

Prediction in Ungauged Basin remains an ambitious task, especially when dealing with discharge time series, i.e. hydrographs, and derived statistics of regimes (Blöschl et al, 2013; Hrachowitz et al, 2013). The simulated discharge series at the outlet of a similar target basin is obtained by transposition from the donor basin, i.e. generalisation of the net rainfall series, the convolution with the corresponding transfer function. The latter is available for the target basin, thanks to the geomorphometric observation of its relief and stream network, and a robust assumption on the water velocity. This approach has been tested in three different well described contexts: semi-arid Tunisia (Boudhraâ et al, 2006, 2009, 2018), temperate oceanic France (de Lavenne et al, 2015, 2016), and pluvio-nival Québec (Ecrepont et al, 2019)

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