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Precipitation Estimate Using NEXRAD Ground-Based Radar Images
TABLE 12.9
Percentage of Days That Different Prediction 
Methods Perform Best in Terms of EB, r 2 , EE, 
and rVar
NEXRAD
BA
RK
SKlm
EB
2.31%
48.20%
22.37%
34.78%
R 2
45.17%
3.17%
13.71%
43.00%
EE
9.38%
3.03%
11.26%
77.92%
RVar
21.93%
27.27%
42.14%
17.75%
Absolute EB
EE
RVar
R 2
1
0.8
0.6
0.4
0.2
0
3
2.5
2
1
1.5
0.5
80
60
40
20
0
1
0
–1
–2
–3
–4
NEXRAD
BA
RK
SKlm
NEXRAD
BA
RK
SKlm
NEXRAD
BA
RK
SKlm
NEXRAD
BA
RK
SKlm
(a)
(b)
(c)
(d)
FIGURE  12.8  Boxplots of daily evaluation coefficients ([a] for Absolute EB, [b] for R2,
[c] for EE, and [d] for RVar) of the 693 days (lower and upper lines of the “box” are the 25th
and 75th percentiles of the sample, respectively; the distance between the top and bottom
of the box is the interquartile range; the line in the middle of the box is the sample median;
“whiskers” are lines extending above and below the box; plus signs are values that are more
than 1.5 times the interquartile range away from the top or bottom of the box; notches in the
box represent a robust estimate of the uncertainty about the medians for box-to-box comparison; boxes whose notches do not overlap indicate that the medians of the two groups differ
at the 0.05 significance level). (MATLAB 2007. MATLAB Technical Documentation. The
MathWorks Inc., Natick, MA.)