EGU2020-2611, updated on 12 Jun 2020
EGU General Assembly 2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

A new spatially distributed Added Value Index for Regional Climate Models: the EURO-CORDEX and the CORDEX-CORE highest resolution ensembles

James M. Ciarlo`1,2, Erika Coppola1, Adriano Fantini1, XueJie Gao3,4, Yao Tong5, Russell H. Glazer1, Jose Abraham Torres Alavez1, Taleena Sines1, Emanuela Pichelli1, Francesca Raffaele1, Sushant Das1, Moetasim Ashfaq6, Eun-Soon Im7, Thanh Nguyen-Xuan7, Claas Teichmann8, Armelle Remedio8, Thomas Remke8, Katharina Bülow8, Torsten Weber8, Lars Buntemeyer8, Kevin Sieck8, Diana Rechid8, and Daniela Jacob8
James M. Ciarlo` et al.
  • 1The Abdus Salam International Center for Theoretical Physics (ICTP), strada costiera 11, 34135 Trieste, Italy
  • 2National Institute of Oceanography and Experimental Geophysics (OGS), Trieste
  • 3Climate Change Research Center, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
  • 4University of Chinese Academy of Sciences, Beijing, China
  • 5Yingkou Meteorological Bureau, Yingkou, China
  • 6Oak Ridge National Laboratory, Oak Ridge, TN, USA
  • 7Hong Kong University of Science and Technology, Hong Kong, China
  • 8Climate Service Center Germany (GERICS), Helmholtz-Zentrum Geesthacht, Hamburg, Germany

Regional Climate Models (RCMs) have undergone substantial development, resulting in increasingly reliable high-resolution simulations. Despite this, the added value of these simulations compared to their driving General Circulation Models (GCMs) has been a recurring issue. Past studies have used different techniques to quantify the added value of a RCM. A new method is now being presented, based on these past studies, that quantifies the added value and presents it spatially. The method was also adapted to assess the Downscaling Signal (DS) in climate change simulations and compare this to the added value.

This new method has been used to assess the daily precipitation of the 55-model EURO-CORDEX ensemble and the CORDEX-CORE ensemble, focusing especially on the higher-end of the PDFs. This revealed an overall positive added value across all domains, especially in areas of complex topography, cost-lines, and tropical regions. This DS was similar to that of the added value when looking at RCP 8.5 far-future simulations.

How to cite: Ciarlo`, J. M., Coppola, E., Fantini, A., Gao, X., Tong, Y., Glazer, R. H., Torres Alavez, J. A., Sines, T., Pichelli, E., Raffaele, F., Das, S., Ashfaq, M., Im, E.-S., Nguyen-Xuan, T., Teichmann, C., Remedio, A., Remke, T., Bülow, K., Weber, T., Buntemeyer, L., Sieck, K., Rechid, D., and Jacob, D.: A new spatially distributed Added Value Index for Regional Climate Models: the EURO-CORDEX and the CORDEX-CORE highest resolution ensembles, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-2611,, 2020

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