Articles | Volume 19, issue 11
https://doi.org/10.5194/hess-19-4619-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-19-4619-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
23 Nov 2015
Research article |
| 23 Nov 2015
From runoff to rainfall: inverse rainfall–runoff modelling in a high temporal resolution
M. Herrnegger
CORRESPONDING AUTHOR
Institute of Water Management, Hydrology and Hydraulic Engineering, University of Natural Resources and Life Sciences, Vienna, Austria
H. P. Nachtnebel
Institute of Water Management, Hydrology and Hydraulic Engineering, University of Natural Resources and Life Sciences, Vienna, Austria
K. Schulz
Institute of Water Management, Hydrology and Hydraulic Engineering, University of Natural Resources and Life Sciences, Vienna, Austria
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Cited
19 citations as recorded by crossref.
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- Hydrological modelling in the anthroposphere: predicting local runoff in a heavily modified high-alpine catchment J. Wesemann et al. 10.1007/s11629-017-4587-5
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- Climatic impacts on water resources in a tropical catchment in Uganda and adaptation measures proposed by resident stakeholders B. Mehdi et al. 10.1007/s10584-021-02958-9
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- Rainfall estimation from in situ soil moisture observations at several sites in Europe: an evaluation of the SM2RAIN algorithm L. Brocca et al. 10.1515/johh-2015-0016
- Improving the characterization of initial conditions for streamflow prediction using a precipitation reconstruction algorithm A. Tahiri et al. 10.1016/j.ifacol.2018.06.193
17 citations as recorded by crossref.
- LamaH-CE: LArge-SaMple DAta for Hydrology and Environmental Sciences for Central Europe C. Klingler et al. 10.5194/essd-13-4529-2021
- Seasonal discharge forecasting for the Upper Danube I. Martin Santos et al. 10.1016/j.ejrh.2021.100905
- Potenzial von Machine Learning bei der kurzfristigen Leistungsprognose innerhalb einer Laufkraftwerkskette C. Klingler et al. 10.1007/s00506-022-00849-6
- Hydroclimatic analysis of rising water levels in the Great rift Valley Lakes of Kenya M. Herrnegger et al. 10.1016/j.ejrh.2021.100857
- Parameter Identification of an Ultrafiltration Model for Organics Removal in a Full-Scale Wastewater Reclamation Plant with Sparse and Incomplete Monitoring Data F. Sun et al. 10.1371/journal.pone.0161300
- Evaluation of satellite precipitation products for water allocation studies in the Sio-Malaba-Malakisi river basin of East Africa P. Omonge et al. 10.1016/j.ejrh.2021.100983
- Hydrological modelling in the anthroposphere: predicting local runoff in a heavily modified high-alpine catchment J. Wesemann et al. 10.1007/s11629-017-4587-5
- Relative contribution of climate variability and human activities on the water loss of the Chari/Logone River discharge into Lake Chad: A conceptual and statistical approach W. Zhu et al. 10.1016/j.jhydrol.2018.12.015
- Adjustment of spatio-temporal precipitation patterns in a high Alpine environment M. Herrnegger et al. 10.1016/j.jhydrol.2016.04.068
- Hydrodynamic modelling of a flood-prone tidal river using the 1D model MIKE HYDRO River: calibration and sensitivity analysis M. Jahandideh-Tehrani et al. 10.1007/s10661-019-8049-0
- A Multiplicative-Exponential function to correct precipitation for distributed hydrological modeling in Poorly-gauged basins S. Qi et al. 10.1016/j.jhydrol.2023.129393
- Climatic impacts on water resources in a tropical catchment in Uganda and adaptation measures proposed by resident stakeholders B. Mehdi et al. 10.1007/s10584-021-02958-9
- A novel high-resolution gridded precipitation dataset for Peruvian and Ecuadorian watersheds – development and hydrological evaluation 10.1175/JHM-D-20-0285.1
- Do surface lateral flows matter for data assimilation of soil moisture observations into hyperresolution land models? Y. Sawada 10.5194/hess-24-3881-2020
- Statistical blending of global-gridded climatological products: an approach to inverse hydrological model R. Mousavi et al. 10.2166/hydro.2023.141
- Hydrological Modelling in Data Sparse Environment: Inverse Modelling of a Historical Flood Event A. Bárdossy et al. 10.3390/w12113242
- Behandlung künstlicher Speicher und Überleitungen in der alpinen Niederschlags-Abfluss-Vorhersage J. Wesemann et al. 10.1007/s00506-018-0501-9
2 citations as recorded by crossref.
- Rainfall estimation from in situ soil moisture observations at several sites in Europe: an evaluation of the SM2RAIN algorithm L. Brocca et al. 10.1515/johh-2015-0016
- Improving the characterization of initial conditions for streamflow prediction using a precipitation reconstruction algorithm A. Tahiri et al. 10.1016/j.ifacol.2018.06.193
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Latest update: 23 Apr 2024
Short summary
Especially in alpine catchments, areal rainfall estimates often exhibit large errors. Runoff measurements are, on the other hand, one of the most robust observations within the hydrological cycle. We therefore calculate mean catchment rainfall by inverting an HBV-type rainfall-runoff model, using runoff observations as input. The inverse model may e.g. be used to analyse rainfall conditions of extreme flood events or estimation of snowmelt contribution.
Especially in alpine catchments, areal rainfall estimates often exhibit large errors. Runoff...
