MODE (Method for Object-based Diagnostic Evaluation)

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Identifying and

Merging Objects

1 June, 2005 1-hour precip

Solid blue blobs:

Convolution radius 15 grid pts

Precip threshold 0.05”

Thin outline

Precip threshold 0.0125”

Predicting and evaluating extreme weather events

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Estimation of Source Parameters for Hazard Releases

Identifying and Merging Objects 1 June, 2005 1-hour precip Solid blue blobs: Convolution radius 15 grid pts Precip threshold 0.05” Thin outline Precip threshold 0.0125”

Fuzzy logic mergers Centroid distance

Page 1 and 2: MODE (Method for Object-based Diagn
Page 3: MODE Object Identification 2 parame
Page 7 and 8: Fuzzy logic mergers orientation
Page 9 and 10: Fuzzy logic matches Overlap Size ra
Page 11 and 12: MODE Strengths and Weaknesses Stre
Page 13 and 14: June 1, 2005 ARW 2-km ARW 4-km Disp
Page 16 and 17: Gridded forecast example: Summary L
Page 18 and 19: Application examples: Distribution
Page 20 and 21: Quilt plots for different models
Page 22 and 23: Percent of single objects matched 1
Page 24: 2005 0513 2005 0601
Page 30 and 31: 14 12 hit 10 8 6 4 2 false alm miss
Page 33: 1 June 2005 9 Cases

MODE (Method for Object-based Diagnostic Evaluation)

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