1. Method for Object-based Diagnostic Evaluation (MODE) Fake forecasts

2. Test case results for MODE geometric cases  mode quantity A  quantity B perturbed fake cases  mode quantity A  quantity B  percentile of intensity  median of max MET – mode_analysis results  centroid distance for matched pairs  percentile intensity for forecast & observed objects

3. Geometric 1 2 3 45 THE WINNER area ratio 11 21 30.29 41 50.15 THE WINNER

4. Geometric 1 2 3 45 THE WINNER Angle difference 10 20 390 4 5 THE WINNER

5. Geometric 1 2 3 45 THE WINNER Total interest 10.83 20.35 30.69 40.59 50.72

6. Perturbed fake cases 1.3 pts right, 5 pts down 2.6 pts right, 10 pts down 3.12 pts right, 20 pts down 4.24 pts right, 40 pts down 5.48 pts right, 80 pts down 6.12 pts right, 20 pts down, times 1.5 7.12 pts right, 20 pts down, minus 0.05”

7. MODE objects

14. Perturbed Fake casePosition error and bias Max interest for observed objects 1-8 1(+ 3, - 5) 1.96111111 2(+ 6, -10) 3(+12, -20) 4(+24, -40) 5(+48, -80) 6(+12,-20) x1.5 7(+12,-20) -0.05”

15. Perturbed Fake casePosition error and bias Max interest for observed objects 1-8 1(+ 3, - 5) 1.96111111 2(+ 6, -10).99.92.99.96.93.99.92 3(+12, -20).96.88.94.88.81.88.92.88 4(+24, -40).87.76.81.72.78.81.80 5(+48, -80).70.52.64.73.43.50.59 6(+12,-20) x1.5.96.66.97.88.86.93.79 7(+12,-20) -0.05”.87.60.93.88.69.72.88.81

16. Perturbed Fake cases casePosition error/bias Median of max interest for observed objects 1-8 1(+ 3, - 5) 1 2(+ 6, -10).975 3(+12, -20).88 4(+24, -40).805 5(+48, -80).555 6(+12,-20) x1.5.88 7(+12,-20) -0.05”.84

17. Perturbed Fake cases casePosition error/bias Mean centroid distance for (un)matched objects 1(+ 3, - 5)(92) 17 grid pts 2(+ 6, -10)(96) 22 3(+12, -20)(102) 28 4(+24, -40)(110) 39 5(+48, -80)(107) 60 6(+12,-20) x1.5(91) 24 7(+12,-20) -0.05”(104) 30

18. would like to have… rainfall total for each object area ratio defined as fcst area/obs area  not just smaller area/larger area