Summary
Add two Use Cases Notebooks focused on real climate analysis workflows. The idea is to show how earthkit-climate can be used in practice, from loading ERA5 GRIB and CMIP6 NetCDF data to computing indices and visualizing results.
Heatwave Evolution Use Case Notebook
This notebook will analyze whether heatwaves are becoming more frequent and longer over the past decades. Using long-term tasmax, we will compute heat_wave_frequency and heat_wave_max_length, then aggregate results by decade to compare changes (e.g., 1980s vs 2010s+).
The output will include spatial maps showing anomalies between decades, providing a clear view of how extreme heat events are evolving over time.
Tropical Nights & Cooling Demand Use Case Notebook
This notebook will assess how increasing temperatures affect nighttime heat stress and cooling demand. Using tas and tasmin, we will calculate tropical_nights and cooling_degree_days and analyze their trends over time.
Results will include trend maps and simple correlation plots to show how the increase in tropical nights relates to higher cooling energy needs.
@chpolste @nicrie @garciampred
Summary
Add two Use Cases Notebooks focused on real climate analysis workflows. The idea is to show how earthkit-climate can be used in practice, from loading ERA5 GRIB and CMIP6 NetCDF data to computing indices and visualizing results.
Heatwave Evolution Use Case Notebook
This notebook will analyze whether heatwaves are becoming more frequent and longer over the past decades. Using long-term tasmax, we will compute heat_wave_frequency and heat_wave_max_length, then aggregate results by decade to compare changes (e.g., 1980s vs 2010s+).
The output will include spatial maps showing anomalies between decades, providing a clear view of how extreme heat events are evolving over time.
Tropical Nights & Cooling Demand Use Case Notebook
This notebook will assess how increasing temperatures affect nighttime heat stress and cooling demand. Using tas and tasmin, we will calculate tropical_nights and cooling_degree_days and analyze their trends over time.
Results will include trend maps and simple correlation plots to show how the increase in tropical nights relates to higher cooling energy needs.
@chpolste @nicrie @garciampred