BURGER - A Bottom-Up Regionalization Approach for Global Sub-Daily Intensity-Duration-Frequency Data
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https://doi.org/10.1029/2024WR039773 <-- shared paper
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https://zenodo.org/records/15473689 <-- shared dataset
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"KEY POINTS
โข BURGER is the first global IDF data set derived from observations of sub-daily rainfall
โข Sub-daily rainfall intensities are computed with the Simplified Metastatistical Extreme Value (SMEV) approach for a range of return periods
โข BURGER intensities compare well with expected intensities, indicated by an interquartile range of the percentage bias between โ5% and 5%..โ
#GIS #spatial #data #mapping #global #exteremeweather #precipitation #rainfall #gauge #intensity #model #modeling #spatialanalysis #spatiotemporal #BURGER #geostatistics #spatialstatistics # statistics
#GSDR #IDF #remotesensing #earthobservation #machinelearning #AI #weather #climate #prediction #usecase #flood #risk #hazard #SMEV #accuracy #metrology