Submitted as: model evaluation paper 06 Aug 2021

Submitted as: model evaluation paper | 06 Aug 2021

Review status: this preprint is currently under review for the journal GMD.

Added value of the EURO-CORDEX high-resolution downscaling over the Iberian Peninsula revisited. Part II: Max and Min Temperature

João António Martins Careto1, Pedro Miguel Matos Soares1, Rita Margarida Cardoso1, Sixto Herrera2, and José Manuel Gutiérrez3 João António Martins Careto et al.
  • 1Instituto Dom Luiz, Faculdade de Ciências, Universidade de Lisboa, 1749-016, Portugal
  • 2Meteorology Group. Dept. of Applied Mathematics and Computer Science. Universidad de Cantabria. Santander, Spain
  • 3Meteorology Group. Instituto de Física de Cantabria, CSIC-University of Cantabria, Santander, Spain

Abstract. In the recent past, the increase of computation resources led to the appearance of regional climate models with increasing domains and resolutions, spamming larger temporal periods. A good example is the World Climate Research Program – Coordinated Regional Climate Downscaling Experiment for the European domain (EURO-CORDEX). This set of regional models encompass the entire European continent, for a 130-year common period until the end of the 21st century, while having a 12 Km horizontal resolution. Such simulations are computationally demanding, while at the same time, not always showing added value. This study considers a recently proposed metric in order to assess the added value of the EURO-CORDEX Hindcast (1989–2008) and Historical (1971–2005) simulations, for the maximum and minimum temperature over the Iberian Peninsula. This approach allows an evaluation of the higher against the driving lower resolutions relative to the performance of the whole or partial probability density functions, by having an observational regular gridded dataset as reference. Overall, the gains for maximum temperature are more relevant in comparison to minimum temperature, partially owed to known problems derived from the snow-albedo-atmosphere feedback. For more local scales, areas near the coast reveal significant added value in comparison with the interior, which displays limited gains and sometimes significant detrimental effects around −30 %. Nevertheless, the added value for temperature extremes reveals a similar range, although with stronger gains in coastal regions and in locations from the interior for maximum temperature, contrasting with the losses for locations in the interior of the domain for the minimum temperature.

João António Martins Careto 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 gmd-2021-208', Anonymous Referee #1, 01 Oct 2021
    • AC1: 'Reply on RC1', João A.M. Careto, 22 Dec 2021
  • RC2: 'Comment on gmd-2021-208', Anonymous Referee #2, 08 Nov 2021
    • AC2: 'Reply on RC2', João A.M. Careto, 22 Dec 2021

João António Martins Careto et al.

João António Martins Careto et al.


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Short summary
This work focuses on the added value of high-resolution models, relative to their forcing simulations, by using a recent observational gridded dataset, covering the Iberian Peninsula. The availability of such datasets with a close spatial resolution to those of the regional models encouraged this study. For the max and min temperature, although most models have added value, some display losses. Still, coast sites reveal important gains, mainly due to better representation of sea-land contrasts.