Preprints
https://doi.org/10.5194/gmd-2021-60
https://doi.org/10.5194/gmd-2021-60

Submitted as: model description paper 11 Jun 2021

Submitted as: model description paper | 11 Jun 2021

Review status: a revised version of this preprint was accepted for the journal GMD and is expected to appear here in due course.

TopoCLIM: Rapid topography-based downscaling of regional climate model output in complex terrain v.1.0

Joel Fiddes1, Kristoffer Aalstad2, and Michael Lehning1,3 Joel Fiddes et al.
  • 1WSL Institute for Snow and Avalanche Research SLF, Davos, Switzerland
  • 2Department of Geosciences, University of Oslo, P.O. Box 1047, Blindern, 0316 Oslo, Norway
  • 3CRYOS, School of Architecture, Civil and Environmental Engineering, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland

Abstract. This study describes and evaluates a new downscaling scheme that specifically addresses the need for hillslope scale atmospheric forcing time-series for modeling the local impact of regional climate change projections on the land surface in complex terrain. The method has a global scope and is able to generate the full suite of model forcing variables required for hydrological and land surface modeling at hourly timesteps. It achieves this by utilising the previously published TopoSCALE scheme (Fiddes et al. 2014) to generate a synthetic observation of current climate at hillslope scale while accounting for a broad range of surface-atmosphere interactions. These synthetic observations are then used to debias (downscale) CORDEX climate variables using the quantile mapping method. A further temporal disaggregation step produces sub-daily fields. This approach has the advantages of other empirical-statistical methods, namely speed of use while avoiding the need for ground data, which is often limited. It is therefore a suitable method for a wide range of remote regions where ground data is absent, incomplete, or not of sufficient length. The approach is evaluated using a network of high elevation stations across the Swiss Alps and a test application of modelling climate change impacts on Alpine snow cover is given.

Joel Fiddes et al.

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2021-60', Richard L.H. Essery, 09 Jul 2021
    • AC1: 'Reply on RC1', Joel Fiddes, 22 Nov 2021
  • RC2: 'Comment on gmd-2021-60', Anonymous Referee #2, 09 Aug 2021
    • AC2: 'Reply on RC2', Joel Fiddes, 22 Nov 2021
  • RC3: 'Comment on gmd-2021-60', Anonymous Referee #3, 23 Aug 2021
    • AC3: 'Reply on RC3', Joel Fiddes, 23 Nov 2021

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2021-60', Richard L.H. Essery, 09 Jul 2021
    • AC1: 'Reply on RC1', Joel Fiddes, 22 Nov 2021
  • RC2: 'Comment on gmd-2021-60', Anonymous Referee #2, 09 Aug 2021
    • AC2: 'Reply on RC2', Joel Fiddes, 22 Nov 2021
  • RC3: 'Comment on gmd-2021-60', Anonymous Referee #3, 23 Aug 2021
    • AC3: 'Reply on RC3', Joel Fiddes, 23 Nov 2021

Joel Fiddes et al.

Model code and software

TopoCLIM v1.0 Joel Fiddes https://www.doi.org/10.16904/envidat.229

Joel Fiddes et al.

Viewed

Total article views: 736 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
463 252 21 736 7 7
  • HTML: 463
  • PDF: 252
  • XML: 21
  • Total: 736
  • BibTeX: 7
  • EndNote: 7
Views and downloads (calculated since 11 Jun 2021)
Cumulative views and downloads (calculated since 11 Jun 2021)

Viewed (geographical distribution)

Total article views: 670 (including HTML, PDF, and XML) Thereof 670 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 26 Jan 2022
Download
Short summary
This study describes and evaluates a new downscaling scheme that addresses the need for hillslope scale atmospheric forcing time-series for modeling the local impact of regional climate change on the land surface in Mountain areas. The method has a global scope and is able to generate all model forcing variables required for hydrological and land surface modeling. This is important as impact models require high-resolution forcings as generated here to produce meaningful results.