Uncertainty in surface wind speed projections over the Iberian Peninsula: CMIP6 GCMs versus a WRF‐RCM

Author:

Andres‐Martin Miguel1ORCID,Azorin‐Molina Cesar1ORCID,Shen Cheng2ORCID,Fernández‐Alvarez José C.34,Gimeno Luis3,Vicente‐Serrano Sergio M.5,Zha Jinlin67

Affiliation:

1. Climate, Atmosphere and Ocean Laboratory (Climatoc‐Lab) Centro de Investigaciones sobre Desertificación, Consejo Superior de Investigaciones Científicas (CIDE, CSIC‐UV‐Generalitat Valenciana) Moncada Spain

2. Regional Climate Group, Department of Earth Sciences University of Gothenburg Gothenburg Sweden

3. Centro de Investigación Mariña, Universidade de Vigo Environmental Physics Laboratory (EPhysLab), Campus As Lagoas s/n Ourense Spain

4. Departamento de Meteorología, Instituto Superior de Tecnologías y Ciencias Aplicadas, Universidad de la Habana La Habana Cuba

5. Instituto Pirenaico de Ecología, Consejo Superior de Investigaciones Científicas (IPE–CSIC) Zaragoza Spain

6. Key Laboratory of Atmospheric Environment and Processes in the Boundary Layer over the Low‐Latitude Plateau Region, Department of Atmospheric Science Yunnan University Kunming China

7. Key Laboratory of Regional Climate and Environment for Temperate East Asia Institute of Atmospheric Physics, Chinese Academy of Sciences Beijing China

Abstract

AbstractThis study assessed the projected near‐surface wind speed (SWS) changes and variability over the Iberian Peninsula for the 21st century. Here, we compared Coupled Model Intercomparison Project Phase 6 global climate models (GCMs) with a higher spatial resolution regional climate model (RCM; ∼20 km), known as WRF‐CESM2, which was created by a dynamic downscaling of the Community Earth System Model version 2 (CESM2) using the Weather Research and Forecasting (WRF) model. Our analysis found that the GCMs tended to overestimate observed SWS for 1985–2014, while the higher spatial resolution of the WRF‐CESM2 did not improve the accuracy and underestimated the SWS magnitude. GCMs project a decline of SWS under high shared socioeconomic pathways (SSPs) greenhouse concentrations, such as SSP370 and SSP585, while an interdecadal oscillation appears in SSP126 and SSP245 for the end of the century. The WRF‐CESM2 under SSP585 predicts the opposite increasing SWS. Our results suggest that 21st‐century projections of SWS are uncertain even for regionalized products and should be taken with caution.

Funder

National Natural Science Foundation of China

Vetenskapsrådet

Publisher

Wiley

Subject

History and Philosophy of Science,General Biochemistry, Genetics and Molecular Biology,General Neuroscience

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