I need 12 PDHs by June and want training that goes beyond button-clicking — calibration/validation against USGS gages, QPE bias correction, and uncertainty/ensemble mapping in HEC-RAS 6.4 or TUFLOW. Has anyone taken a recent course that quantifies skill (NSE/KGE, Brier) and ties results to mitigation decisions (depth-damage, overtopping probability) rather than just producing maps?
I knocked out 12 PDHs with UW–Madison EPD’s HEC‑RAS 2D (https://epd.wisc.edu/courses/hec-ras-2d/) plus a TUFLOW Academy session on uncertainty/ensembles; we calibrated to USGS gages, did simple QPE bias tweaks, mapped ensembles, and I computed NSE/KGE and a quick Brier in Python to connect exceedance to depth‑damage and overtopping. Caveat: neither course hands you Brier on a platter — @riverstats, seen one that does?
@OP Quick example from last spring: in a TUFLOW uncertainty session, we bias‑corrected MRMS QPE per storm using a gage/QPE ratio time series before running the ensemble, then reported ‘NSE/KGE’ on calibration and a ‘Brier’ score for overtopping tied directly to depth‑damage. Caveat: they leaned on a little Python for the scoring, so if you need 12 PDHs by June with mostly GUI, ask the instructor up front about how they compute metrics and document decisions.
I had good results with ASDSO’s ‘Uncertainty in H&H for Risk‑Informed Decisions’ workshop (https://learn.asdso.org/) — we ran 2D cases in RAS and TUFLOW, bias‑corrected MRMS via quantile mapping, and scored ensembles with Brier/CRPS before pushing depths to HEC‑FDA for EAD and overtopping probability; PDHs were issued. Building on @dwilso34, the quantile mapping was quicker than per‑storm ratios but needs a few solid gages — think unit tests for your flood map.