EGU23-6107, updated on 17 Apr 2023
https://doi.org/10.5194/egusphere-egu23-6107
EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Deforestation and changes in rainfall across the Amazon – reducing uncertainty using a continental scale convection permitting domain 

Richard Bassett1, Luis Garcia-Carreras1, Douglas Lowe1, Lincoln Alves2, Gilberto Fisch3, Kate Halladay4, Ron Kahana4, and José Veiga5
Richard Bassett et al.
  • 1University of Manchester, Manchester, UK
  • 2Instituto Nacional de Pesquisas Espaciais, São Paulo, Brasil
  • 3Universidade de Taubaté, Taubaté, Brazil
  • 4Met Office, Exeter, UK
  • 5Universidade do Estado do Amazonas, Manaus, Brazil

The Amazon rainforest holds more than 40% of all remaining tropical rainforest and is a key component of the climate system. The scale of deforestation in the Amazon significantly impacts both local and global climates. Under a business-as-usual scenario as much as 40% of the Brazilian Amazon rainforest will be lost by 2050. Despite the magnitude of these changes and its importance, the overall effects of deforestation on rainfall remain uncertain. Land-use change influences rainfall through a variety of mechanisms acting at local to continental scales. As such, previous research indicates conflicting responses to rainfall depending on the scales studied. In reality, rainfall processes interact across these scales, but until recently have been impossible to capture within a single model due to computational expense. Consequently we are unable to rely on these simulations as future estimations of rainfall for such a sensitive and anthropogenically impacted region as the Amazon.

 

In this study, we overcome these limitations by running convection permitting simulations (horizontal resolution 4.5km) over a large domain (6000km covering the majority of South America) using a Tropical configuration of the UK Met Office Unified Model. The high-resolution and continental-scale of these simulations present an opportunity to reduce the uncertainty in Amazonian rainfall estimates within a single model and ensures rainfall processes and interactions across scales are captured. To investigate the impacts of deforestation we will include a series of land-use sensitivity runs making use of a range of socioeconomic scenarios to 2050. Here we present initial results from our simulations, indicating how localised storms, mesoscale convective systems and large-scale circulations respond to land-use change.

How to cite: Bassett, R., Garcia-Carreras, L., Lowe, D., Alves, L., Fisch, G., Halladay, K., Kahana, R., and Veiga, J.: Deforestation and changes in rainfall across the Amazon – reducing uncertainty using a continental scale convection permitting domain , EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-6107, https://doi.org/10.5194/egusphere-egu23-6107, 2023.