Articles | Volume 22, issue 2
Research article
03 Mar 2022
Research article |  | 03 Mar 2022

Adaptation and application of the large LAERTES-EU regional climate model ensemble for modeling hydrological extremes: a pilot study for the Rhine basin

Florian Ehmele, Lisa-Ann Kautz, Hendrik Feldmann, Yi He, Martin Kadlec, Fanni D. Kelemen, Hilke S. Lentink, Patrick Ludwig, Desmond Manful, and Joaquim G. Pinto


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on nhess-2021-150', Anonymous Referee #1, 13 Aug 2021
    • AC1: 'Reply on RC1', Florian Ehmele, 11 Nov 2021
  • RC2: 'Comment on nhess-2021-150', Anonymous Referee #2, 18 Oct 2021
    • AC2: 'Reply on RC2', Florian Ehmele, 11 Nov 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by editor and referees) (20 Nov 2021) by Piero Lionello
AR by Florian Ehmele on behalf of the Authors (20 Dec 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (04 Jan 2022) by Piero Lionello
RR by Anonymous Referee #2 (16 Jan 2022)
RR by Anonymous Referee #1 (19 Jan 2022)
ED: Publish as is (02 Feb 2022) by Piero Lionello
Short summary
For various applications, it is crucial to have profound knowledge of the frequency, severity, and risk of extreme flood events. Such events are characterized by very long return periods which observations can not cover. We use a large ensemble of regional climate model simulations as input for a hydrological model. Precipitation data were post-processed to reduce systematic errors. The representation of precipitation and discharge is improved, and estimates of long return periods become robust.
Final-revised paper