HR: 11:50h
AN: H52A-07 [Abstracts]
TI: Advances in Precipitation Forecast Verification: The Forecast Quality Index and a Case Study in Assessing WRF Model Performance
AU: * Foufoula-Georgiou, E
EM: efi@umn.edu
AF: University of Minnesota, St. Anthony Falls Laboratory, Department of Civil Engineering,
Minneapolis, MN , United States
AU: Basu, S
EM: sukanta.basu@ttu.edu
AF: Texas Tech University, Atmospheric Science Group, Department of Geosciences,
Lubbock, TX , United States
AB:
The problem of developing metrics for high-resolution forecast verification which are capable of capturing the
essential multiscale space-time structure of observed and modeled fields and can also provide constructive
feedback to model developers, has gained renewed interest in the atmospheric and hydrometeorology
communities as they have realized that current indices are inadequate. Recently, we proposed a novel measure
called Forecast Quality Index (FQI) for QPF verification, based on the classical Hausdorff distance, the Universal
Image Quality Index (an image similarity measure used in image processing) and the concept of "surrogate"
images. Comparing with the traditional measures on several simulated test images and real precipitation
datasets (from the Storm and Mesoscale Ensemble Experiment - SAMEX'98) we demonstrated the potential of
this newly proposed measure. In this presentation, we will elaborate on the performance of FQI in the Spatial
Verification Methods Inter-comparison Project (organized by the Research Applications Laboratory, NCAR). As
part of this inter-comparison project, several cases from the 2005 SPC/NSSL Spring Experiment were selected.
NCEP Stage II hourly precipitation analyses and several high-resolution Weather Research and Forecasting
(WRF) model forecasts were used as observation-forecast pairs. The results will be placed in the context of other
competing metrics.
DE: 1854 Precipitation (3354)
DE: 3329 Mesoscale meteorology
DE: 3354 Precipitation (1854)
DE: 3355 Regional modeling
SC: Hydrology [H]
MN: 2007 Joint Assembly