Abstract
The Intergovernmental Panel on Climate Change (IPCC) affirms that in future climate scenarios, the frequency and intensity of extreme weather events may intensify as a result of changes in the global climate, causing negative impacts on the population and natural ecosystems. Therefore, the impacts caused by these events will require adaptations which, in turn, will be based on future projections carried out through simulations of various global and regional models. Thus, this scientific initiation project had the objective of studying the frequency and spatial variability of extreme rainfall events in the city of Campinas, through simulations carried out using the regional model ETA-HADGEM2-ES and surface meteorological data, considering present and future scenarios.
Highlights
The regional model ETA-HADGEM2-ES was used for analyzes of two scenarios: the present, period 1961-1990, and the future, period 2021-2050
The Intergovernmental Panel on Climate Change (IPCC) affirms that in future climate scenarios, the frequency and intensity of extreme weather events may intensify as a result of changes in the global climate, causing negative impacts on the population and natural ecosystems
This scientific initiation project had the objective of studying the frequency and spatial variability of extreme rainfall events in the city of Campinas, through simulations carried out using the regional model ETA-HADGEM2-ES and surface meteorological data, considering present and future scenarios
Summary
The regional model ETA-HADGEM2-ES was used for analyzes of two scenarios: the present, period 1961-1990, and the future, period 2021-2050. Spatial and temporal variability studies of precipitation considering the future climate scenarios, with emphasis on extreme events Abstract The Intergovernmental Panel on Climate Change (IPCC) affirms that in future climate scenarios, the frequency and intensity of extreme weather events may intensify as a result of changes in the global climate, causing negative impacts on the population and natural ecosystems.
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