Evaluation and projection of global terrestrial near-surface wind speed based on CMIP6 GCMs
- 1Regional Climate Group, Department of Earth Sciences, University of Gothenburg, Gothenburg, Sweden (cheng.shen@gu.se)
- 2Key Laboratory of Atmospheric Environment and Processes in the Boundary Layer over the Low-Latitude Plateau Region, Department of Atmospheric Science, Yunnan University, Kunming, 650091, People’s Republic of China
- 3Laboratory for Climate and Atmosphere-Ocean Studies, Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing, 100871, People’s Republic of China
- 4Centro de Investigaciones sobre Desertificación, Consejo Superior de Investigaciones Científicas (CIDE,CSIC-UV-Generalitat Valenciana), Moncada, Valencia, Spain
- 5Interuniversity Department of Regional and Urban Studies and Planning (DIST), Politecnico and University of Turin, Turin, Italy
We evaluate the performance of Coupled Model Intercomparison Project Phase 6 (CMIP6) models in simulating the observed global terrestrial near-surface wind speed (NSWS) and project its future changes under three different Shared Socioeconomic Pathways (SSPs). Results show that the CESM2 has the best ability in reproducing the observed NSWS trends, although all models examined are generally not doing well. Based on projections of CESM2, the global NSWS will decrease from 2021 to 2100 under all three SSPs. The projected NSWS declines significantly over the north of 20°N, especially across North America, Europe, and the mid-to-high latitudes of Asia; meanwhile, it increases over the south of 20°N. Under SSP585, there would be more light-windy days and fewer strong-windy days than those under SSP245, which leads to a significant global NSWS decline. Robust hemispheric-asymmetric changes in the NSWS could be due to the temperature gradient in the two hemispheres under global warming, with −1.2%, −3.5%, and −4.1% in the Northern Hemisphere, and 0.8%, 1.0%, and 1.5% in the Southern Hemisphere, for the near-term (2021–2040), mid-term (2041–2060), and long-term (2081–2100), respectively.
How to cite: Shen, C., Zha, J., Li, Z., Azorin-Molina, C., Minola, L., and Chen, D.: Evaluation and projection of global terrestrial near-surface wind speed based on CMIP6 GCMs, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-162, https://doi.org/10.5194/egusphere-egu23-162, 2023.
Corresponding supplementary materials formerly uploaded have been withdrawn.