https://iopscience.iop.org/article/10.1088/2752-5295/ae2f93

*Authors*: Matthew St. Michael Williams, Leonardo Clarke, Randy Koon Koon
and Michael A Taylor

*19 December 2025*

*Abstract*
This study employed the Weather Research and Forecasting Model to
dynamically downscale outputs from the HadGEM2-ES global climate model for
the Caribbean at resolutions of 40km and 8km. Simulations were conducted
for a historical period (1980-1990) and two future periods corresponding to
global warming limits of 1.5 °C (2024-2034) and 2 °C (2038-2048) derived
from the Representative Concentration Pathway (RCP) 4.5 projection. The
future projections were from the RCP4.5 scenario and the Solar Radiation
Modification (SRM) G4 scenario from the Geoengineering Model
Intercomparison Project (GeoMIP), focusing on variables relevant to wind
and solar energy assessments. Three bias-correction methods were
independently applied to the downscaled outputs to evaluate their
effectiveness in reducing bias while preserving projected climate change
signals. The Quantile Delta Mapping and Delta method produced the best
outputs and were subsequently used to assess the potential influence of SRM
on solar and wind energy resources at the island scale. Results indicate
that wind speeds under the G4 scenario generally decrease across much of
the Caribbean, with parts of southern Jamaica and Hispaniola seeing the
most notable increases. Changes in solar irradiance appear minimal;
however, this finding remains inconclusive due to limitations in validating
the more variable historical distribution of the WRF-derived outputs. These
findings demonstrate the feasibility of conducting sub-regional and
local-scale wind energy assessments in the Caribbean while underscoring the
need for improved observational datasets to enhance solar resource
validation.

*Source: IOP Science*

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