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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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https://doi.org/10.5194/gmd-2020-86
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-2020-86
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: model evaluation paper 20 Apr 2020

Submitted as: model evaluation paper | 20 Apr 2020

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A revised version of this preprint is currently under review for the journal GMD.

Land Surface Model influence on the simulated climatologies of temperature and precipitation extremes in the WRF v.3.9 model over North America

Almudena García-García1,2, Francisco José Cuesta-Valero1,2, Hugo Beltrami1, J. Fidel González-Rouco3, Elena García-Bustamante4, and Joel Finnis5 Almudena García-García et al.
  • 1Climate&Atmospheric Sciences Institute, St. Francis Xavier University, Antigonish, Nova Scotia, Canada
  • 2Environmental Sciences Program, Memorial University of Newfoundland, St. John’s, Newfoundland, Canada
  • 3Physics of the Earth and Astrophysics Department, IGEO (UCM-CSIC), Universidad Complutense de Madrid, Spain
  • 4Research Center for Energy, Environment and Technology (CIEMAT), Madrid, Spain
  • 5Department of Geography, Memorial University of Newfoundland, St. John’s, Newfoundland, Canada

Abstract. The representation and projection of extreme temperature and precipitation events in regional and global climate models are of major importance for the study of climate change impacts. However, state-of-the-art global and regional climate model simulations yield a broad inter-model range of intensity, duration and frequency of these extremes. Here, we present a modeling experiment using the Weather Research and Forecasting (WRF) model to determine the influence of the land surface model (LSM) component on uncertainties associated with extreme events. First, we evaluate land-atmosphere interactions within four simulations performed by the WRF model using three different LSMs from 1980 to 2012 over North America. Results show LSM-dependent differences at regional scales in the frequency of occurrence of events when surface conditions are altered by atmospheric forcing or land processes. The inter-model range of extreme statistics across the WRF simulations is large, particularly for indices related to the intensity and duration of temperature and precipitation extremes. Areas showing large uncertainty in WRF simulated extreme events are also identified in a model ensemble from three different Regional Climate Model (RCM) simulations participating in the Coordinated Regional Climate Downscaling Experiment (CORDEX) project, revealing the implications of these results for other model ensembles. This study illustrates the importance of the LSM choice in climate simulations, supporting the development of new modeling studies using different LSM components to understand inter-model differences in simulating temperature and precipitation extreme events, which in turn will help to reduce uncertainties in climate model projections.

Almudena García-García et al.

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Almudena García-García et al.

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DATA for Land Surface Model influence on the simulated climatologies of temperature and precipitation extremes in the WRF v.3.9 model over North America A. García-García, F. J. Cuesta-Valero, H. Beltrami, J. F. González-Rouco, E. García-Bustamante, and J. Finnis https://doi.org/10.5281/zenodo.3745509

Almudena García-García et al.

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