Hingray B. auteur aut IRD Evin G. auteur aut IRD Sauquet E. auteur aut IRD Reverdy A. auteur aut IRD Ducharne A. auteur aut IRD Arnaud P. auteur aut IRD Bonneau J. auteur aut IRD Corre L. auteur aut IRD Gailhard J. auteur aut IRD Hendrickx F. auteur aut IRD Héraut L. auteur aut IRD Huang P. auteur aut IRD Le Lay M. auteur aut IRD Magand C. auteur aut IRD Marson P. auteur aut IRD Munier S. auteur aut IRD Perrin C. auteur aut IRD Robin Y. auteur aut IRD Rousset F. auteur aut IRD Soubeyroux J.M. auteur aut IRD Strohmenger L. auteur aut IRD Thirel G. auteur aut IRD Tramblay Yves auteur aut IRD Vidal J.P. auteur aut IRD Vrac M. auteur aut IRD EGU General Assembly , Vienne (AUT), 2025/04/27-2025/05/02 text book eng text/pdf reformatted digital access Robust adaptation to hydrological climate change requires an assessment of possible climate and hydrological futures at different scales. Explore2 is a recent multimodel ensemble of hydrological projections developed to accompany local adaptation plans for metropolitan France and Corsica, a 550,000 km2 wide territory with a large diversity of climate and hydrological regimes (Sauquet et al. 2024). The Explore2 ensemble provides transient projections of daily river flow for more than 4'000 locations on French rivers. Projections have been obtained for three RCP emission scenarios with 4 to 9 hydrological models (HMs) driven by 36 bias adjusted regional climate projections (36 EUROCORDEX projections obtained for a number of different GCM/RCM combinations, Marson et al. 2024). Explore2 projections, making no exception, come with sometimes large uncertainty (Evin et al., 2024). This uncertainty has been characterized and analyzed with Qualypso (Evin et al. 2021) for different climate and hydrological metrics. Qualypso is an advanced ANOVA approach, based on the quasi-ergodic assumption for transient climate projections (Hingray et Said, 2014) and applicable for unbalanced datasets. It allows to disentangle and prioritize the different components of uncertainty, namely emission scenario uncertainty, the different components of model uncertainty (GCM uncertainty, RCM uncertainty, HM uncertainty) and uncertainty due to climate internal variability. In this work, we examine the following questions: What are the projected changes for different climate and hydrological metrics for metropolitan France and Corsica (e.g. precipitation, annual discharge, high and low flows) and how strong do the modelling chains agree on projections? How do scenario uncertainty and the different components of model uncertainty contribute to the total uncertainty in projections and what additional variability is introduced by internal variability of climate? What are the main effects of each model compared to the others and are there highly contrasting chains ? How do the results depend on location and/or hydroclimatic context ? What messages can be conveyed to stakeholders about the future of climate and hydrology in France ? specialized FRANCE CORSE 062 021 Göttingen EGU General Assembly 2025 EGU25-18641 [1 ] EGU25-18641 [1 ] EGU25-18641 [1 ] https://www.documentation.ird.fr/hor/fdi:010097745 10.5194/egusphere-egu25-18641 [F B010097745] https://www.documentation.ird.fr/hor/fdi:010097745 https://horizon.documentation.ird.fr/exl-doc/pleins_textes/2026-08/010097745.pdf IRD - Base Horizon / Pleins textes 2026-07-27 2026-08-26 fdi:010097745 fre