These Jupyter notebooks make up an analytical workflow for calculating maximum a priori probabilities of climate hazards by magnitude and year, stored as global raster images. They use ERA5 historical climate observations and NEX-GDDP simulation data as inputs, and the workflow is suitable for any climate hazard that can be calculated from these datasets. Generally this includes precipitation and temperature hazards.
Many of the calculations require asynchronous processing by Google Earth Engine, with intermediate results being stored in a GEE drive. Therefore, to use this workflow you must have your own GEE credentials.
Send inquiries to: Ted Wong ([email protected]), Ross Center for Sustainable Cities, World Resources Institute