Assessing downscaling methods to simulate hydrologically relevant weather scenarios from a global atmospheric reanalysis: case study of the upper Rhône River (1902–2009)

Caroline Legrand, Benoît Hingray, Bruno Wilhelm, and Martin Ménégoz

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Cumulative views and downloads (calculated since 20 Apr 2023)

Month	HTML	PDF	XML	Total
Apr 2023	199	34	6	239
May 2023	87	15	1	103
Jun 2023	25	14	0	39
Jul 2023	100	20	10	130
Aug 2023	19	7	1	27
Sep 2023	18	10	2	30
Oct 2023	18	9	1	28
Nov 2023	34	10	9	53
Dec 2023	17	5	1	23
Jan 2024	22	6	1	29
Feb 2024	12	5	2	19
Mar 2024	23	14	2	39
Apr 2024	32	3	4	39
May 2024	515	70	17	602
Jun 2024	104	18	3	125

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Latest update: 29 Jun 2024

Short summary

Climate change is expected to increase flood hazard worldwide. The evolution is typically estimated from multi-model chains, where regional hydrological scenarios are simulated from weather scenarios derived from coarse-resolution atmospheric outputs of climate models. We show that two such chains are able to reproduce, from an atmospheric reanalysis, the 1902–2009 discharge variations and floods of the upper Rhône alpine river, provided that the weather scenarios are bias-corrected.