Articles | Volume 24, issue 5
https://doi.org/10.5194/hess-24-2609-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-24-2609-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
20 May 2020
Research article |
| 20 May 2020
| 20 May 2020
Should altitudinal gradients of temperature and precipitation inputs be inferred from key parameters in snow-hydrological models?
Denis Ruelland
CORRESPONDING AUTHOR
CNRS, HydroSciences Montpellier, University of Montpellier, Place E. Bataillon, 34395 Montpellier CEDEX 5, France
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Cited
18 citations as recorded by crossref.
- Intensity-Duration-Frequency Curve for Extreme Rainfall Event Characterization, in the High Tropical Andes D. Escobar-González et al. 10.3390/w14192998
- Spatial variability in the seasonal precipitation lapse rates in complex topographical regions – application in France V. Dura et al. 10.5194/hess-28-2579-2024
- Spatio-temporal evolution of wet–dry event features and their transition across the Upper Jhelum Basin (UJB) in South Asia R. Ansari & G. Grossi 10.5194/nhess-22-287-2022
- Comprehensive space–time hydrometeorological simulations for estimating very rare floods at multiple sites in a large river basin D. Viviroli et al. 10.5194/nhess-22-2891-2022
- Suitability of ERA5-Land reanalysis dataset for hydrological modelling in the Alpine region D. Dalla Torre et al. 10.1016/j.ejrh.2024.101718
- Temporal variability in air temperature lapse rates across the glacierised terrain of the Chandra basin, western Himalaya S. Oulkar et al. 10.1007/s00704-024-05003-8
- Impact of suspicious streamflow data on the efficiency and parameter estimates of rainfall–runoff models C. Thébault et al. 10.1080/02626667.2023.2234893
- Potential of snow data to improve the consistency and robustness of a semi-distributed hydrological model using the SAFRAN input dataset D. Ruelland 10.1016/j.jhydrol.2024.130820
- Evaluating precipitation corrections to enhance high-alpine hydrological modeling T. Pulka et al. 10.1016/j.jhydrol.2024.132202
- Efficient multi-objective calibration and uncertainty analysis of distributed snow simulations in rugged alpine terrain J. Thornton et al. 10.1016/j.jhydrol.2021.126241
- Evaluation of gridded datasets for terrestrial water budget assessment in the Upper Jhelum River Basin-South Asia R. Ansari et al. 10.1016/j.jhydrol.2022.128294
- Changes in snow cover climatology and its elevation dependency over Romania (1961–2020) V. Amihăesei et al. 10.1016/j.ejrh.2023.101637
- Assessing downscaling methods to simulate hydrologically relevant weather scenarios from a global atmospheric reanalysis: case study of the upper Rhône River (1902–2009) C. Legrand et al. 10.5194/hess-28-2139-2024
- Development of the snow- and ice-accounting routine (SIAR) D. Ruelland 10.1016/j.jhydrol.2023.129867
- Impact of the Mean Daily Air Temperature Calculation on the Rainfall-Runoff Modelling N. Bezak et al. 10.3390/w12113175
- Correction of precipitation measurement for weighing precipitation gauges in a glacierized basin in the Tianshan Mountains Y. Jia et al. 10.3389/feart.2023.1115299
- Learning about precipitation lapse rates from snow course data improves water balance modeling F. Avanzi et al. 10.5194/hess-25-2109-2021
- Understanding climate-induced changes of snow hydrological processes in the Kaidu River Basin through the CemaNeige-GR6J model Y. Hao et al. 10.1016/j.catena.2022.106082
18 citations as recorded by crossref.
- Intensity-Duration-Frequency Curve for Extreme Rainfall Event Characterization, in the High Tropical Andes D. Escobar-González et al. 10.3390/w14192998
- Spatial variability in the seasonal precipitation lapse rates in complex topographical regions – application in France V. Dura et al. 10.5194/hess-28-2579-2024
- Spatio-temporal evolution of wet–dry event features and their transition across the Upper Jhelum Basin (UJB) in South Asia R. Ansari & G. Grossi 10.5194/nhess-22-287-2022
- Comprehensive space–time hydrometeorological simulations for estimating very rare floods at multiple sites in a large river basin D. Viviroli et al. 10.5194/nhess-22-2891-2022
- Suitability of ERA5-Land reanalysis dataset for hydrological modelling in the Alpine region D. Dalla Torre et al. 10.1016/j.ejrh.2024.101718
- Temporal variability in air temperature lapse rates across the glacierised terrain of the Chandra basin, western Himalaya S. Oulkar et al. 10.1007/s00704-024-05003-8
- Impact of suspicious streamflow data on the efficiency and parameter estimates of rainfall–runoff models C. Thébault et al. 10.1080/02626667.2023.2234893
- Potential of snow data to improve the consistency and robustness of a semi-distributed hydrological model using the SAFRAN input dataset D. Ruelland 10.1016/j.jhydrol.2024.130820
- Evaluating precipitation corrections to enhance high-alpine hydrological modeling T. Pulka et al. 10.1016/j.jhydrol.2024.132202
- Efficient multi-objective calibration and uncertainty analysis of distributed snow simulations in rugged alpine terrain J. Thornton et al. 10.1016/j.jhydrol.2021.126241
- Evaluation of gridded datasets for terrestrial water budget assessment in the Upper Jhelum River Basin-South Asia R. Ansari et al. 10.1016/j.jhydrol.2022.128294
- Changes in snow cover climatology and its elevation dependency over Romania (1961–2020) V. Amihăesei et al. 10.1016/j.ejrh.2023.101637
- Assessing downscaling methods to simulate hydrologically relevant weather scenarios from a global atmospheric reanalysis: case study of the upper Rhône River (1902–2009) C. Legrand et al. 10.5194/hess-28-2139-2024
- Development of the snow- and ice-accounting routine (SIAR) D. Ruelland 10.1016/j.jhydrol.2023.129867
- Impact of the Mean Daily Air Temperature Calculation on the Rainfall-Runoff Modelling N. Bezak et al. 10.3390/w12113175
- Correction of precipitation measurement for weighing precipitation gauges in a glacierized basin in the Tianshan Mountains Y. Jia et al. 10.3389/feart.2023.1115299
- Learning about precipitation lapse rates from snow course data improves water balance modeling F. Avanzi et al. 10.5194/hess-25-2109-2021
- Understanding climate-induced changes of snow hydrological processes in the Kaidu River Basin through the CemaNeige-GR6J model Y. Hao et al. 10.1016/j.catena.2022.106082
Latest update: 10 Jan 2025
Short summary
Interpolation methods accounting for elevation dependency from scattered gauges result in inaccurate inputs for snow-hydrological models. Altitudinal gradients of temperature and precipitation can be successfully inferred using an inverse snow-hydrological modelling approach. This approach can significantly improve the simulation of snow cover and streamflow dynamics through more parsimonious parametrization.
Interpolation methods accounting for elevation dependency from scattered gauges result in...
