Articles | Volume 20, issue 3
https://doi.org/10.5194/hess-20-1031-2016
© Author(s) 2016. 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-20-1031-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
08 Mar 2016
Research article |
| 08 Mar 2016
Sensitivity analysis of runoff modeling to statistical downscaling models in the western Mediterranean
Benjamin Grouillet
CORRESPONDING AUTHOR
CNRS, Laboratoire HydroSciences, Place Eugene Bataillon, 34095 Montpellier, France
CNRS, Laboratoire HydroSciences, Place Eugene Bataillon, 34095 Montpellier, France
Pradeebane Vaittinada Ayar
LSCE, Laboratoire des Sciences du Climat et de l'Environnement, UMR CEA-CNRS-UVSQ 1572, CE Saclay l'Orme des Merisiers, 91191 Gif-sur-Yvette, France
Mathieu Vrac
LSCE, Laboratoire des Sciences du Climat et de l'Environnement, UMR CEA-CNRS-UVSQ 1572, CE Saclay l'Orme des Merisiers, 91191 Gif-sur-Yvette, France
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18 citations as recorded by crossref.
- Space-time simulation of precipitation based on weather pattern sub-sampling and meta-Gaussian model P. Vaittinada Ayar et al. 10.1016/j.jhydrol.2019.124451
- Ensemble bias correction of climate simulations: preserving internal variability P. Vaittinada Ayar et al. 10.1038/s41598-021-82715-1
- Statistical reconstruction of European winter snowfall in reanalysis and climate models based on air temperature and total precipitation F. Pons & D. Faranda 10.5194/ascmo-8-155-2022
- The effects of atypical diurnal temperature cycles on regression-based downscaling of daily temperature extrema in the Central United States Q. Pallardy 10.1007/s00704-022-04338-4
- Impact of climate change on future availability of water for irrigation and hydropower generation in the Omo-Gibe Basin of Ethiopia T. Orkodjo et al. 10.1016/j.ejrh.2022.101254
- Continuous state-space representation of a bucket-type rainfall-runoff model: a case study with the GR4 model using state-space GR4 (version 1.0) L. Santos et al. 10.5194/gmd-11-1591-2018
- Accuracy of daily estimation of grass reference evapotranspiration using ERA-Interim reanalysis products with assessment of alternative bias correction schemes P. Paredes et al. 10.1016/j.agwat.2018.08.003
- Comparative Evaluation of Five Hydrological Models in a Large-Scale and Tropical River Basin L. Ávila et al. 10.3390/w14193013
- Influence of Bias Correcting Predictors on Statistical Downscaling Models M. Vrac & P. Vaittinada Ayar 10.1175/JAMC-D-16-0079.1
- Developing a lumped rainfall-runoff model in daily timestep for the Central European regions: A case study of the Czech Republic M. Bednář & D. Marton 10.1016/j.envsoft.2024.106092
- Consistency of satellite-based precipitation products in space and over time compared with gauge observations and snow- hydrological modelling in the Lake Titicaca region F. Satgé et al. 10.5194/hess-23-595-2019
- Reliability of SM2RAIN precipitation datasets in comparison to gauge observations and hydrological modelling over arid regions F. Satgé et al. 10.1002/joc.6704
- A novel statistical downscaling approach for analyzing daily precipitation and extremes under the impact of climate change: Application to an arid region Q. Zhang et al. 10.1016/j.jhydrol.2022.128730
- Viticulture extension in response to global climate change drivers – lessons from the past and future projections J. Guiot et al. 10.5194/cp-19-1219-2023
- An analogues-based forecasting system for Mediterranean marine-litter concentration G. Jordà & J. Soto-Navarro 10.5194/os-19-485-2023
- Climate change impact and uncertainty analysis on hydrological extremes in a French Mediterranean catchment T. Lemaitre-Basset et al. 10.1080/02626667.2021.1895437
- Is time a variable like the others in multivariate statistical downscaling and bias correction? Y. Robin & M. Vrac 10.5194/esd-12-1253-2021
- Seasonal Streamflow Forecast in the Tocantins River Basin, Brazil: An Evaluation of ECMWF-SEAS5 with Multiple Conceptual Hydrological Models L. Ávila et al. 10.3390/w15091695
1 citations as recorded by crossref.
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Short summary
This original paper provides a guideline to select statistical downscaling methods (SDMs) in climate change impact studies (CCIS) to minimize uncertainty from downscaling. Three SDMs were applied to NCEP reanalysis and 2 GCM data values. We then analyzed the sensitivity of the hydrological model to the various downscaled data via 5 hydrological indicators representing the main features of the hydrograph. Our results enable selection of the appropriate SDMs to be used to build climate scenarios.
This original paper provides a guideline to select statistical downscaling methods (SDMs) in...
