Influence of input and parameter uncertainty on the prediction of catchment-scale groundwater travel time distributions

Jing, Miao; Heße, Falk; Kumar, Rohini; Kolditz, Olaf; Kalbacher, Thomas; Attinger, Sabine

doi:https://doi.org/10.5194/hess-23-171-2019

Articles | Volume 23, issue 1

https://doi.org/10.5194/hess-23-171-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/hess-23-171-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 23, issue 1

Research article

|

15 Jan 2019

Research article |

| 15 Jan 2019

Influence of input and parameter uncertainty on the prediction of catchment-scale groundwater travel time distributions

Miao Jing, Falk Heße, Rohini Kumar, Olaf Kolditz, Thomas Kalbacher, and Sabine Attinger

Model code and software

mHM#OGS v1.0: the coupling interface between the mesoscale Hydrologic Model (mHM) and the groundwater model OpenGeoSys (OGS) M. Jing, F. Heße, R. Kumar, W. Wang, T. Fischer, M. Walther, M. Zink, A. Zech, L. Samaniego, O. Kolditz, and S. Attinger https://doi.org/10.5281/zenodo.1248005

Short summary

We evaluated the uncertainty propagation from the inputs (forcings) and parameters to the predictions of groundwater travel time distributions (TTDs) using a fully distributed numerical model (mHM-OGS) and the StorAge Selection (SAS) function. Through detailed numerical and analytical investigations, we emphasize the key role of recharge estimation in the reliable predictions of TTDs and the good interpretability of the SAS function.