Preprints
https://doi.org/10.5194/cp-2022-21
https://doi.org/10.5194/cp-2022-21
 
16 Mar 2022
16 Mar 2022
Status: a revised version of this preprint is currently under review for the journal CP.

Simulations of the Holocene Climate in Europe Using Dynamical Downscaling within the iLOVECLIM model (version 1.1)

Frank Arthur1, Didier M. Roche2,3, Ralph Fyfe4, Aurélien Quiquet3, and Hans Renssen1 Frank Arthur et al.
  • 1Department of Natural Sciences and Environmental Health, University of South-Eastern Norway, Bø, Norway
  • 2Faculty of Science, Cluster Earth and Climate, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
  • 3Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay Gif-sur-Yvette, France
  • 4School of Geography, Earth and Environmental Sciences, University of Plymouth, Plymouth, UK

Abstract. This study presents the application of dynamical downscaling in Europe using iLOVECLIM (a model of intermediate complexity), increasing its resolution from 5.56° to 0.25° latitude-longitude. A transient simulation using the appropriate climate forcings for the entire Holocene (11.5–0 kyr BP) was done for both the standard version of the model and with dynamical downscaling applied. Our results show that, simulations from dynamical downscaling present spatial variability which agrees better with proxy-based reconstruction and other climate models as compared to the standard model. The downscaling scheme simulates much higher (by at least a factor of two) precipitation maxima and provides detailed information in mountainous regions. We focus on examples from the Scandes Mountains, the Alps, the Scottish Highlands and the Mediterranean. The higher spatial resolution of the dynamical downscaling provides a more realistic overview of the topography, gives local climate information such as precipitation and temperature gradient that is important for paleoclimate studies. The results from the downscaling show in some cases similar magnitude of the precipitation changes reconstructed by other proxy studies (for example in the Alps). There is also a good agreement for the overall trend and spatial pattern than the standard version. Our downscaling tool is numerically cheap which can perform kilometric-multi-millennial simulations and suitable for future studies.

Frank Arthur et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on cp-2022-21', Anonymous Referee #1, 20 Apr 2022
    • AC1: 'Reply on RC1', Frank Arthur, 05 Jul 2022
  • RC2: 'Comment on cp-2022-21', Anonymous Referee #2, 18 May 2022
    • AC2: 'Reply on RC2', Frank Arthur, 05 Jul 2022

Frank Arthur et al.

Data sets

Simulations of the Holocene Climate in Europe Using Dynamical Downscaling within the iLOVECLIM model (version 1.1) Frank Arthur, Didier M. Roche, Ralph Fyfe , Aurélien Quiquet , Hans Renssen https://doi.org/10.23642/usn.19354082

Frank Arthur et al.

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Short summary
This paper simulates transcient Holocene climate in Europe by applying dynamical downscaling to the standard version of the iLOVECLIM model. The results show that, downscaling presents a higher spatial variability in better agreement with proxy-based reconstructions as compared to the standard model, particularly in the Alps, the Scandes and the Mediterranean. Our downscaling scheme is numerically cheap, which can perform kilometric-multi-millennial simulations suitable for future studies.