Articles | Volume 17, issue 6
https://doi.org/10.5194/hess-17-2263-2013
© Author(s) 2013. 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-17-2263-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Comparative assessment of predictions in ungauged basins – Part 3: Runoff signatures in Austria
A. Viglione
Institute of Hydraulic Engineering and Water Resources Management, Vienna University of Technology, Vienna, Austria
J. Parajka
Institute of Hydraulic Engineering and Water Resources Management, Vienna University of Technology, Vienna, Austria
M. Rogger
Institute of Hydraulic Engineering and Water Resources Management, Vienna University of Technology, Vienna, Austria
J. L. Salinas
Institute of Hydraulic Engineering and Water Resources Management, Vienna University of Technology, Vienna, Austria
Institute of Applied Statistics and Computing, University of Natural Resources and Life Sciences, BOKU Vienna, Austria
M. Sivapalan
Departments of Civil and Environmental Engineering and Geography, University of Illinois at Urbana-Champaign, Urbana, USA
G. Blöschl
Institute of Hydraulic Engineering and Water Resources Management, Vienna University of Technology, Vienna, Austria
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- Enhancing Physical Similarity Approach to Predict Runoff in Ungauged Watersheds in Sub-Tropical Regions S. Narbondo et al. 10.3390/w12020528
- Assessment of 13 Gridded Precipitation Datasets for Hydrological Modeling in a Mountainous Basin H. Hafizi & A. Sorman 10.3390/atmos13010143
- Low-flow frequency analysis at ungauged sites based on regionally estimated streamflows A. Requena et al. 10.1016/j.jhydrol.2018.06.016
- A new few-shot learning model for runoff prediction: Demonstration in two data scarce regions M. Yang et al. 10.1016/j.envsoft.2023.105659
- Robustness of hydroclimate metrics for climate change impact research M. Ekström et al. 10.1002/wat2.1288
- A geostatistical spatially varying coefficient model for mean annual runoff that incorporates process-based simulations and short records T. Roksvåg et al. 10.5194/hess-26-5391-2022
- Streamflow prediction in ungauged catchments by using the Grunsky method B. Marchezepe et al. 10.1016/j.iswcr.2023.06.004
- Estimation of annual runoff by exploiting long-term spatial patterns and short records within a geostatistical framework T. Roksvåg et al. 10.5194/hess-24-4109-2020
- Streamflow simulation methods for ungauged and poorly gauged watersheds A. Loukas & L. Vasiliades 10.5194/nhess-14-1641-2014
- Evaluation of regionalization parameters for stream flow prediction in ungauged catchments of Rift Valley Lakes Basin, Ethiopia Z. Mada et al. 10.1007/s40808-024-01977-6
- Management Influences on Stream-Flow Variability in the Past and Under Potential Climate Change in a Central European Mining Region I. Pohle et al. 10.1007/s11269-019-02432-3
- Analyzing the Vegetation Parameterization in the TU-Wien ASCAT Soil Moisture Retrieval M. Vreugdenhil et al. 10.1109/TGRS.2016.2519842
- Modeling the Ecological Impact of Phosphorus in Catchments with Multiple Environmental Stressors M. Glendell et al. 10.2134/jeq2019.05.0195
- A diagnostic approach to constraining flow partitioning in hydrologic models using a multiobjective optimization framework M. Shafii et al. 10.1002/2016WR019736
- Stepwise prediction of runoff using proxy data in a small agricultural catchment B. Széles et al. 10.2478/johh-2020-0029
- Streamflow characteristics from modeled runoff time series – importance of calibration criteria selection S. Pool et al. 10.5194/hess-21-5443-2017
- The transfR toolbox for transferring observed streamflow series to ungauged basins based on their hydrogeomorphology A. de Lavenne et al. 10.1016/j.envsoft.2022.105562
- Annual water, sediment, nutrient, and organic carbon fluxes in river basins: A global meta‐analysis as a function of scale M. Mutema et al. 10.1002/2014WR016668
- Hydrological Interpretation of a Statistical Measure of Basin Complexity S. Pande & M. Moayeri 10.1029/2018WR022675
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