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This 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.
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http://dx.doi.org/10.1111/nyas.15063 | DOI Listing |
PLoS One
September 2025
Electrical Engineering Department, Faculty of Engineering, Minia University, Minia, Egypt.
With the increasing demand for wind energy in the electric power generation industry, optimizing robust and efficient control strategies is essential for a wind energy conversion system (WECS). In this regard, this study proposes a novel hybrid control strategy for wind power systems directly coupled to a permanent-magnet synchronous generator (PMSG). The contribution of this work is to propose a control strategy design based on a combination of the nonlinear Backstepping approach for system stabilization according to Lyapunov theory and the application of artificial neural network to maximize energy harvesting regardless of wind speed fluctuations.
View Article and Find Full Text PDFJ Acoust Soc Am
September 2025
Department of Physics, University of Louisiana at Lafayette, Lafayette, Louisiana 70503, USA.
A method is presented for determining the significant parameters, maximum wind speed and radius of maximum wind speed, of the surface winds associated with a hurricane. The method is based on Bayesian inversion, using Markov chain Monte Carlo sampling. Underwater acoustic measurements are used to estimate parameters in the axisymmetric Holland model for hurricane surface winds.
View Article and Find Full Text PDFMar Life Sci Technol
August 2025
Key Laboratory of Mariculture of Ministry of Education, Fisheries College, Ocean University of China, Qingdao, 266003 China.
Unlabelled: Microhabitat heterogeneity results in significant variations in the thermal environment on a small spatial scale, leading to different intensities of cold stress during extreme low-temperature events. Investigating variations in body temperature and metabolomic responses of organisms inhabiting different microhabitats emerges as an important task for understanding how organisms respond to more frequent extreme low-temperature events in the face of climate change. In the present study, we measured substrate temperature, air temperature, wind speed, light intensity, and body temperature to evaluate the relative importance of drivers that affect body temperature in different microhabitats, and determined the metabolomic responses of intertidal snails and limpets from different microhabitats (snail: exposed vs.
View Article and Find Full Text PDFJ Appl Physiol (1985)
September 2025
Thermal and Mountain Medicine Division, U.S. Army Research Institute of Environmental Medicine, Natick, MA, USA.
Individuals who work in the heat, such as military personnel and athletes, are often required to rapidly transition from temperate or cooler climates to hot environments. Thus, acclimation strategies are needed for individuals lacking access to hot weather. We sought to develop and validate a practical exercise with overdressing protocol for heat acclimation.
View Article and Find Full Text PDFJ Environ Manage
September 2025
Department of Mechanical Engineering, University of Colorado Boulder, 1111 Engineering Drive, Boulder, CO, USA. Electronic address:
This study assesses the performance of the ADMS-Urban dispersion model in estimating 1-h mean nitrogen dioxide (NO) concentrations within the street canyons of Prague. While traditional air quality modeling that relies on sparse data from localized monitoring stations, this approach pioneers the integration of traffic, background, and rooftop sensor network, to archive a more granular validation of model outputs. The results demonstrate robust model performance, with FAC2 values ranging from 0.
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