4.7 Article

The transfR toolbox for transferring observed streamflow series to ungauged basins based on their hydrogeomorphology

Journal

ENVIRONMENTAL MODELLING & SOFTWARE
Volume 159, Issue -, Pages -

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.envsoft.2022.105562

Keywords

Prediction in ungauged basin (PUB); Streamflow observation; Hydrogeomorphology; Inverse modelling; R package

Ask authors/readers for more resources

This R package gathers methods developed and lessons learnt for estimating discharge of ungauged outlets using a runoff-runoff approach. It utilizes observed discharge from nearby gauged basins and a geomorphology-based deconvolution-convolution modeling approach. The package allows for the estimation and simulation of discharge series in targeted ungauged basins. The methodology has been tested and further evaluation, improvement, and operational applications are encouraged.
This R package technically gathers the methods developed and lessons learnt over recent years for estimating discharge of ungauged outlets, in a runoff-runoff type approach (discharge is both the input and output). It uses the observed discharge of neighbouring gauged basins and a geomorphology-based deconvolution- convolution modelling approach. The continuous hydrological modelling is based on the description of the hydro-geomorphometry of the river drainage network that can be easily described for any outlet considered. An inversion of this model allows us to deconvolute the observed discharge series and to estimate the signal of the water flowing into rivers from the hillslope, namely the net rainfall. The transfer of this net rainfall to a targeted ungauged basin enables the simulation of the discharge series there. The methodology has been tested in several hydro-climatic contexts, and with this package we aim to encourage further evaluation and improvement as well as subsequent operational applications.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available