Verification of LAMI (Local Area Model Italy) using non-GTS Data over Mountainous Regions. Elena Oberto (*), Stefano Bande (*), Massimo Milelli (*) (*) ARPA Piemonte, Torino, Italy. LAMI model.
Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.
Elena Oberto (*), Stefano Bande (*), Massimo Milelli (*)
(*) ARPA Piemonte, Torino, Italy
LAMI model Data over Mountainous Regions
grid point 1970 m
grid point 387 m
Rain gauges network Data over Mountainous Regions
LAMI00-LAMI12: comparison between the first and Data over Mountainous Regions
the second 24h versus thresholds
ETS: results between 0.25-0.35 no significative differences between the two runs and between the two days of integration.
BIAS: globally good results, always greater than 1, for high thresholds the first 24h of both runs perform better especially for 12UTC.
ROC Data over Mountainous Regions diagram confirms previous results: small differences between the two runs, but less FAR for the first integration time
LAMI00-LAMI12: comparison of the 12h Data over Mountainous Regions-QPF performance
for 3 fixed thresholds
The same behaviour comes out in ETS index for low thresholds only; for high thresholds (not shown here) the signal is smoothed.
LAMI00-LAMI12: BIAS for the 6h-QPF
Concerning the low thresholds, the same diurnal cycle is evident: the worst results are found during the night (18-00UTC)
Cuneo sounding only; for high thresholds (not shown here) the signal is smoothed.
Cesana sounding only; for high thresholds (not shown here) the signal is smoothed.
Conclusions only; for high thresholds (not shown here) the signal is smoothed.