Digital Library

Numerical simulation of localized climate scenarios impacts on vegetation co2 fluxes in the madrid region (spain) with the wrf/chem-vprm model

• Roberto San Jose
• Juan Luis Perez-Camanyo

(2024). ECMS 2024, 38th Proceedings
Edited by: Daniel Grzonka, Natalia Rylko, Grazyna Suchacka, Vladimir Mityushev, European Council for Modelling and Simulation.
DOI: http://doi.org/10.7148/2024
ISSN: 2522-2422 (ONLINE)
ISSN: 2522-2414 (PRINT)
ISSN: 2522-2430 (CD-ROM)
ISBN: 978-3-937436-84-5
ISBN: 978-3-937436-83-8 (CD) Communications of the ECMS Volume 38, Issue 1, June 2024, Cracow, Poland June 4th – June 7th, 2024

https://doi.org/10.7148/2024-0438

Roberto san jose, Juan luis perez-camanyo (2024). Numerical Simulation of Localized Climate Scenarios impacts on Vegetation CO2 Fluxes in the Madrid Region (Spain) with the WRF/CHEM-VPRM model, ECMS 2024, Proceedings Edited by: Daniel Grzonka, Natalia Rylko, Grazyna Suchacka, Vladimir Mityushev, European Council for Modelling and Simulation. doi:10.7148/2024-0438

The Vegetation Photosynthesis and Respiration Model (VPRM) integrated with the Weather Research Forecasting with Chemistry (WRF/Chem) model was used to model anthropogenic and biosphere CO₂ fluxes and their subsequent transport and dispersion over the Madrid Region. Dynamic downscaling of global climate model results was used for four climate scenarios derived from the 6th Coupled Model Intercomparison Project (CMIP6) for a period between 2015 and 2050. Our results show spatial-temporal variations in CO₂ concentration, biosphere fluxes and the global budget (comprising both biogenic and anthropogenic emissions) at three different spatial resolutions: 27 km, 9 km and 3 km, using a nested approach The WRF/Chem-VPRM simulations were used to find sinks and major emitting areas and to quantify the CO₂ emission budget as the sum of anthropogenic and natural CO₂ emissions. In metropolitan areas such as Madrid, anthropogenic fluxes were found to predominate. In the SSP370 scenario, biogenic CO₂ emissions showed a higher magnitude compared to other scenarios, attributable to a projected temperature increase in this scenario for the simulated region, even higher than that projected for the SSP585 scenario.