“HRRRE probabilities are the fraction of members that exceed a given threshold, or predict a given precipitation type, at a point. The final probability field (100*(n/total)) is smoothed using a Gaussian filter of width 25 km.”
let's start with composite reflectivity > 50 dbz, then move on to hourly precip, then 24 hour precip. Might want to do precip in a separate pull request due to the time complication.
@lboeman I will sketch out the algorithm for this and then leave it to you to move to production.
Following the HRRRE methodology:
https://rapidrefresh.noaa.gov/hrrr/HRRRE/
“HRRRE probabilities are the fraction of members that exceed a given threshold, or predict a given precipitation type, at a point. The final probability field (100*(n/total)) is smoothed using a Gaussian filter of width 25 km.”
let's start with composite reflectivity > 50 dbz, then move on to hourly precip, then 24 hour precip. Might want to do precip in a separate pull request due to the time complication.
@lboeman I will sketch out the algorithm for this and then leave it to you to move to production.