Assessing future greenhouse gas concentrations in Madrid, Spain: a dynamical downscaling approach using WRF-VPRM

This study employs a comprehensive modeling approach that combines the Weather Research Forecast (WRF) model with the Vegetation Photosynthesis and Respiration Model (VPRM) to gain insights into the intricate dynamics of GHGs flux and concentration. The primary objective is to conduct high-resolution simulations of GHGs transport, dispersion, and concentrations spanning from 2015 to 2049 under future climate scenario over Madrid (Spain) region. The global climate scenarios datasets are provided by the 6th Coupled Model Intercomparison Project (CMIP6). Dynamical downscaling is done by the WRF model to increase the spatial resolution of the climate data. The results of the atmospheric simulations illuminate the impact (future- present) of emission source distribution and climate data on GHG concentrations. Additionally, the incorporation of the vegetation photosynthesis and respiration model provides valuable perspectives on the role of terrestrial ecosystems in the global carbon cycle and their influence on atmospheric CO2 concentrations.