DTC Seminar: Test Fields and Comparisons for Distance-based Spatial Forecast Verification Methods

Test Fields and Comparisons for Distance-based Spatial Forecast Verification Methods

Eric Gilleland Research Applications Laboratory National Center for Atmospheric Research

With the advent of high-resolution forecast models, new verification methods, referred to collectively as spatial verification methods, were rapidly proposed in part to deal with double penalties and over accumulation of small-scale errors that tended to favor coarser models for the wrong reasons.  Other methods aimed more at diagnostic approaches.  Regardless, some methods focused more on spatial pattern errors, referred to here as distance-based methods.  Examples include the centroid distance, Baddeley's delta, Hausdorff, etc.  With so many to choose from, it is important to understand their properties and how they inform about particular situations.  This talk will introduce a new set of test comparisons designed to elicit a better understanding of these properties.

Thursday, September 12, 2019 11:00-12:00 FL2-1001


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Announcement Timing: 
Friday, August 30, 2019 to Thursday, September 12, 2019
Calendar Timing: 
Thursday, September 12, 2019 - 11:00am to 12:00pm

Posted by Jessa Johnson at ext. 2751, jessaj@ucar.edu

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