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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27 citations as recorded by crossref.
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- Efficient multi-objective calibration and uncertainty analysis of distributed snow simulations in rugged alpine terrain J. Thornton et al. https://doi.org/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. https://doi.org/10.1016/j.jhydrol.2022.128294
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- Correction of precipitation measurement for weighing precipitation gauges in a glacierized basin in the Tianshan Mountains Y. Jia et al. https://doi.org/10.3389/feart.2023.1115299
- Spatiotemporal variation of black carbon in snow surface and atmosphere in an upper basin of central Chilean Andes: A retrospective analysis and future projections F. Aranda et al. https://doi.org/10.1016/j.atmosenv.2025.121717
- Understanding climate-induced changes of snow hydrological processes in the Kaidu River Basin through the CemaNeige-GR6J model Y. Hao et al. https://doi.org/10.1016/j.catena.2022.106082
- Intensity-Duration-Frequency Curve for Extreme Rainfall Event Characterization, in the High Tropical Andes D. Escobar-González et al. https://doi.org/10.3390/w14192998
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- Representing subgrid precipitation variability in snowpack and hydrological modeling: Is adding complexity worth it? F. Givovich et al. https://doi.org/10.1016/j.jhydrol.2025.134038
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- Evaluating precipitation corrections to enhance high-alpine hydrological modeling T. Pulka et al. https://doi.org/10.1016/j.jhydrol.2024.132202
- Changes in snow cover climatology and its elevation dependency over Romania (1961–2020) V. Amihăesei et al. https://doi.org/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. https://doi.org/10.5194/hess-28-2139-2024
- Representing glacier evolution for modelling hydrological responses to climate change in mountainous catchments D. Ruelland et al. https://doi.org/10.1016/j.jhydrol.2026.135769
- Impact of the Mean Daily Air Temperature Calculation on the Rainfall-Runoff Modelling N. Bezak et al. https://doi.org/10.3390/w12113175
- Learning about precipitation lapse rates from snow course data improves water balance modeling F. Avanzi et al. https://doi.org/10.5194/hess-25-2109-2021
- Improving precipitation interpolation using anisotropic variograms derived from convection-permitting regional climate model simulations V. Dura et al. https://doi.org/10.5194/hess-30-2953-2026
27 citations as recorded by crossref.
- A multimodel ensemble using the entropy-TOPSIS method for projecting temperature for the Lower Tapi River Basin N. Agrawal & D. Mujumdar https://doi.org/10.2166/wpt.2025.166
- Modeling Lake Titicaca's water balance: the dominant roles of precipitation and evaporation N. Lima-Quispe et al. https://doi.org/10.5194/hess-29-655-2025
- Impact of suspicious streamflow data on the efficiency and parameter estimates of rainfall–runoff models C. Thébault et al. https://doi.org/10.1080/02626667.2023.2234893
- Investigating the spatiotemporal behavior of VIC model parameters over the Tibetan plateau via global sensitivity analysis and machine learning Y. Li et al. https://doi.org/10.1080/17538947.2026.2625537
- Potential of snow data to improve the consistency and robustness of a semi-distributed hydrological model using the SAFRAN input dataset D. Ruelland https://doi.org/10.1016/j.jhydrol.2024.130820
- Efficient multi-objective calibration and uncertainty analysis of distributed snow simulations in rugged alpine terrain J. Thornton et al. https://doi.org/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. https://doi.org/10.1016/j.jhydrol.2022.128294
- Development of the snow- and ice-accounting routine (SIAR) D. Ruelland https://doi.org/10.1016/j.jhydrol.2023.129867
- Correction of precipitation measurement for weighing precipitation gauges in a glacierized basin in the Tianshan Mountains Y. Jia et al. https://doi.org/10.3389/feart.2023.1115299
- Spatiotemporal variation of black carbon in snow surface and atmosphere in an upper basin of central Chilean Andes: A retrospective analysis and future projections F. Aranda et al. https://doi.org/10.1016/j.atmosenv.2025.121717
- Understanding climate-induced changes of snow hydrological processes in the Kaidu River Basin through the CemaNeige-GR6J model Y. Hao et al. https://doi.org/10.1016/j.catena.2022.106082
- Intensity-Duration-Frequency Curve for Extreme Rainfall Event Characterization, in the High Tropical Andes D. Escobar-González et al. https://doi.org/10.3390/w14192998
- Spatial variability in the seasonal precipitation lapse rates in complex topographical regions – application in France V. Dura et al. https://doi.org/10.5194/hess-28-2579-2024
- Can streamflow observations constrain snow mass reconstructions? Lessons from two synthetic numerical experiments P. Wiersma et al. https://doi.org/10.5194/hess-30-3331-2026
- Spatio-temporal evolution of wet–dry event features and their transition across the Upper Jhelum Basin (UJB) in South Asia R. Ansari & G. Grossi https://doi.org/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. https://doi.org/10.5194/nhess-22-2891-2022
- Suitability of ERA5-Land reanalysis dataset for hydrological modelling in the Alpine region D. Dalla Torre et al. https://doi.org/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. https://doi.org/10.1007/s00704-024-05003-8
- Representing subgrid precipitation variability in snowpack and hydrological modeling: Is adding complexity worth it? F. Givovich et al. https://doi.org/10.1016/j.jhydrol.2025.134038
- Leveraging reforecasts for flood estimation with long continuous simulation: a proof-of-concept study D. Viviroli et al. https://doi.org/10.5194/nhess-26-1835-2026
- Evaluating precipitation corrections to enhance high-alpine hydrological modeling T. Pulka et al. https://doi.org/10.1016/j.jhydrol.2024.132202
- Changes in snow cover climatology and its elevation dependency over Romania (1961–2020) V. Amihăesei et al. https://doi.org/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. https://doi.org/10.5194/hess-28-2139-2024
- Representing glacier evolution for modelling hydrological responses to climate change in mountainous catchments D. Ruelland et al. https://doi.org/10.1016/j.jhydrol.2026.135769
- Impact of the Mean Daily Air Temperature Calculation on the Rainfall-Runoff Modelling N. Bezak et al. https://doi.org/10.3390/w12113175
- Learning about precipitation lapse rates from snow course data improves water balance modeling F. Avanzi et al. https://doi.org/10.5194/hess-25-2109-2021
- Improving precipitation interpolation using anisotropic variograms derived from convection-permitting regional climate model simulations V. Dura et al. https://doi.org/10.5194/hess-30-2953-2026
Saved (final revised paper)
Latest update: 30 Jun 2026
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...
