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Leung, L. R. and Qian, Y.: Atmospheric rivers induced heavy precipitation and flooding in the western US simulated by the WRF regional climate model, Geophys. Res. Lett., 36, L03820, https://doi.org/10.1029/2008GL036445, 2009.

Lorenz, E. N.: Atmospheric Predictability as Revealed by Naturally Occurring Analogues, J. Atmos. Sci., 26, 636–646, https://doi.org/10.1175/1520-0469(1969)26<636:APARBN>2.0.CO;2, 1969.

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Ménégoz, M., Valla, E., Jourdain, N. C., Blanchet, J., Beaumet, J., Wilhelm, B., Gallée, H., Fettweis, X., Morin, S., and Anquetin, S.: Contrasting seasonal changes in total and intense precipitation in the European Alps from 1903 to 2010, Hydrol. Earth Syst. Sci., 24, 5355–5377, https://doi.org/10.5194/hess-24-5355-2020, 2020a.

Ménégoz, M., Fettweis, X., Gallée, H., Belleflamme, A., and Beaumet, J.: Climate simulation over the European Alps for the period 1902–2010 produced with the model MAR, MAR_Albs_v0, Zenodo [data set], https://doi.org/10.5281/zenodo.3674607, 2020b.

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Mezghani, A. and Hingray, B.: A combined downscaling-disaggregation weather generator for stochastic generation of multisite hourly weather variables over complex terrain: Development and multi-scale validation for the Upper Rhone River basin, J. Hydrol., 377, 245–260, https://doi.org/10.1016/j.jhydrol.2009.08.033, 2009.

Minville, M., Cartier, D., Guay, C., Leclaire, L., Audet, C., Le Digabel, S., and Merleau, J.: Improving process representation in conceptual hydrological model calibration using climate simulations, Water Resour. Res., 50, 5044–5073, https://doi.org/10.1002/2013WR013857, 2014.

Nabat, P., Somot, S., Mallet, M., Sanchez-Lorenzo, A., and Wild, M.: Contribution of anthropogenic sulfate aerosols to the changing Euro-Mediterranean climate since 1980, Geophys. Res. Lett., 41, 5605–5611, https://doi.org/10.1002/2014GL060798, 2014.

Nash, J. and Sutcliffe, J.: River flow forecasting through conceptual models part I – A discussion of principles, J. Hydrol., 10, 282–290, https://doi.org/10.1016/0022-1694(70)90255-6, 1970.

Obled, C., Bontron, G., and Garçon, R.: Quantitative precipitation forecasts: a statistical adaptation of model outputs through an analogues sorting approach, Atmos. Res., 63, 303–324, https://doi.org/10.1016/S0169-8095(02)00038-8, 2002.

Obled, C., Zin, I., and Hingray, B.: Choix des pas de temps et d'espace pour des modélisations parcimonieuses en hydrologie des crues, La Houille Blanche, 5, 81–87, https://doi.org/10.1051/lhb/2009059, 2009.
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Raymond, F., Wilhelm, B., and Anquetin, S.: Is Precipitation the Main Trigger of Medium-Magnitude Floods in Large Alpine Catchments?, Water, 11, 2507, https://doi.org/10.3390/w11122507, 2019.

Raynaud, D., Hingray, B., Evin, G., Favre, A.-C., and Chardon, J.: Assessment of meteorological extremes using a synoptic weather generator and a downscaling model based on analogues, Hydrol. Earth Syst. Sci., 24, 4339–4352, https://doi.org/10.5194/hess-24-4339-2020, 2020.

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Ruelland, D.: Should altitudinal gradients of temperature and precipitation inputs be inferred from key parameters in snow-hydrological models?, Hydrol. Earth Syst. Sci., 24, 2609–2632, https://doi.org/10.5194/hess-24-2609-2020, 2020.

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Schaefler, B., Hingray, B., Niggli, M., and Musy, A.: A conceptual glacio-hydrological model for high mountainous catchments, Hydrol. Earth Syst. Sci., 9, 95–109, https://doi.org/10.5194/hess-9-95-2005, 2005.

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Tapiador, F. J., Navarro, A., Moreno, R., Sánchez, J. L., and García-Ortega, E.: Regional climate models: 30 years of dynamical downscaling, Atmos. Res., 235, 104785, https://doi.org/10.1016/j.atmosres.2019.104785, 2020.

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Raynaud, D., Hingray, B., Evin, G., Favre, A.-C., and Chardon, J.: Assessment of meteorological extremes using a synoptic weather generator and a downscaling model based on analogues, Hydrol. Earth Syst. Sci., 24, 4339–4352, https://doi.org/10.5194/hess-24-4339-2020, 2020.

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Roudier, P., Andersson, J. C. M., Donnelly, C., Feyen, L., Greuell, W., and Ludwig, F.: Projections of future floods and hydrological droughts in Europe under a +2°C global warming, Climatic Change, 135, 341–355, https://doi.org/10.1007/s10584-015-1570-4, 2016.

Ruelland, D.: Should altitudinal gradients of temperature and precipitation inputs be inferred from key parameters in snow-hydrological models?, Hydrol. Earth Syst. Sci., 24, 2609–2632, https://doi.org/10.5194/hess-24-2609-2020, 2020.

Ruosteenoja, K., Markkanen, T., Venäläinen, A., Räisänen, P., and Peltola, H.: Seasonal soil moisture and drought occurrence in Europe in CMIP5 projections for the 21st century, Clim. Dynam., 50, 1177–1192, https://doi.org/10.1007/s00382-017-3671-4, 2018.

Schaefler, B., Hingray, B., Niggli, M., and Musy, A.: A conceptual glacio-hydrological model for high mountainous catchments, Hydrol. Earth Syst. Sci., 9, 95–109, https://doi.org/10.5194/hess-9-95-2005, 2005.

Sivapalan, M., Blöschl, G., Zhang, L., and Vertessy, R.: Downward approach to hydrological prediction, Hydrol. Process., 17, 2101–2111, https://doi.org/10.1002/hyp.1425, 2003.

Switanek, M., Maraun, D., and Bevacqua, E.: Stochastic downscaling of gridded precipitation to spatially coherent subgrid precipitation fields using a transformed Gaussian model, Int. J. Climatol., 42, 6126–6147, https://doi.org/10.1002/joc.7581, 2022.

Tapiador, F. J., Navarro, A., Moreno, R., Sánchez, J. L., and García-Ortega, E.: Regional climate models: 30 years of dynamical downscaling, Atmos. Res., 235, 104785, https://doi.org/10.1016/j.atmosres.2019.104785, 2020.

Teweles, S. and Wobus, H. B.: Verification of Prognostic Charts, B. Am. Meteorol. Soc., 35, 455–463, https://doi.org/10.1175/1520-0477-35.10.455, 1954.

Tolson, B. A. and Shoemaker, C. A.: Dynamically dimensioned search algorithm for computationally efficient watershed model calibration, Water Resour. Res., 43, W01413, https://doi.org/10.1029/2005WR004723, 2007.

Vidal, J.-P., Hingray, B., Magand, C., Sauquet, E., and Ducharne, A.: Hierarchy of climate and hydrological uncertainties in transient low-flow projections, Hydrol. Earth Syst. Sci., 20, 3651–3672, https://doi.org/10.5194/hess-20-3651-2016, 2016.

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