Climate Change Scenarios: From Models to Data Analysis in R
Teacher: dott. Manuel La Licata, Università di Roma Tre
Climate change scenarios are widely used in environmental research, but their terminology, data sources, and formats can be challenging to navigate. This course provides an introduction to climate projections and a practical workflow for accessing and analysing climate data.
– Climate change scenarios: key concepts, RCPs, SSPs, and climate projections.
– From models to data: climate models, downscaling, CORDEX, and Copernicus.
– Working with NetCDF files: data structure, metadata, and visualization with Panoply.
– Climate data analysis in R: data import, extraction, processing, and visualization.
– Practical application: hands-on analysis of climate projection data
