10th Annual
NE.Wx
Snowfall Forecast Contest
’08
/ ‘09 - Final Standings
8 Storms
683” Total Snowfall
2,353 Station Forecasts
25 Forecasters
6 Rookies
3 Interns
4 Journeyman
12 Senior
|
NEWxSFC - Final Standings |
AVG SUMSQ |
AVG STP |
AVG Total Absolute |
AVG Absolute |
Mean RSQ |
|
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|
Previous Ranks |
Rank |
Forecaster |
Class |
Total STN 4casts |
Error (") |
Error Z |
% MPRV over AVG |
Rank |
4cast (") |
Error |
Error Z |
% MPRV over AVG |
Rank |
Error (") |
Error Z |
% MPRV over AVG |
Rank |
Error (") |
Error Z |
%MPRV over AVG |
Rank |
RSQ |
RSQ Z |
% MPRV over AVG |
Rank |
Forecaster |
|
2,1,1,1,1 |
1 |
donsutherland1 |
Chief |
116 |
79 |
-1.025 |
53% |
2 |
88.2 |
9.4 |
-0.550 |
46% |
5 |
26.96 |
-1.171 |
35% |
2 |
1.37 |
-1.117 |
35% |
2 |
75.4% |
0.926 |
33% |
3 |
donsutherland1 |
|
5,2,2,3,2 |
2 |
shanabe |
Senior |
118 |
104 |
-0.743 |
34% |
5 |
82.5 |
22.2 |
0.099 |
-7% |
8 |
32.77 |
-0.765 |
21% |
5 |
1.62 |
-0.740 |
19% |
5 |
71.3% |
0.895 |
29% |
4 |
shanabe |
|
10,6,3,4,3 |
3 |
Donald Rosenfeld |
Senior |
136 |
104 |
-0.737 |
34% |
4 |
94.2 |
12.8 |
-0.536 |
18% |
4 |
35.82 |
-0.660 |
15% |
5 |
1.56 |
-0.817 |
19% |
4 |
62.2% |
0.169 |
3% |
6 |
Donald Rosenfeld |
|
-,-,-,2,5 |
4 |
Raven |
Senior |
131 |
129 |
-0.564 |
27% |
5 |
94.9 |
18.4 |
-0.112 |
8% |
7 |
40.01 |
-0.438 |
11% |
6 |
1.83 |
-0.469 |
12% |
6 |
63.5% |
0.341 |
8% |
7 |
Raven |
|
-,-,-,5,7 |
5 |
herb @maws |
Senior |
120 |
131 |
-0.310 |
17% |
7 |
78.9 |
18.2 |
-0.219 |
17% |
8 |
36.87 |
-0.321 |
10% |
7 |
1.84 |
-0.319 |
11% |
6 |
61.4% |
0.189 |
7% |
8 |
herb@maws |
|
8,-,-,8,6 |
6 |
Mitchel Volk |
Senior |
133 |
172 |
-0.204 |
9% |
8 |
115.2 |
23.6 |
0.014 |
-7% |
7 |
45.41 |
-0.279 |
7% |
7 |
2.05 |
-0.244 |
6% |
7 |
65.7% |
0.359 |
18% |
7 |
Mitchel Volk |
|
4,4,4,7,8 |
7 |
TQ |
Senior |
117 |
173 |
0.083 |
-4% |
9 |
82.3 |
26.8 |
0.455 |
-36% |
10 |
41.53 |
-0.072 |
2% |
7 |
2.05 |
0.095 |
-1% |
8 |
63.8% |
-0.007 |
-5% |
8 |
TQ |
|
6,5,5,9,9 |
8 |
ilibov |
Senior |
133 |
203 |
0.665 |
-26% |
11 |
81.4 |
26.3 |
0.576 |
-36% |
11 |
49.03 |
0.833 |
-19% |
12 |
2.20 |
0.536 |
-10% |
10 |
58.4% |
-0.350 |
-14% |
10 |
ilibov |
|
11,8,6,11,10 |
9 |
weatherT |
Rookie |
111 |
208 |
0.790 |
-37% |
12 |
62.6 |
31.1 |
0.597 |
-51% |
10 |
47.28 |
0.738 |
-22% |
12 |
2.64 |
1.172 |
-37% |
12 |
59.5% |
-0.166 |
-7% |
10 |
weatherT |
|
14,11,10,14,12 |
10 |
jackzig |
Senior |
127 |
282 |
0.884 |
-44% |
11 |
100.2 |
21.7 |
0.040 |
8% |
9 |
60.57 |
1.042 |
-31% |
12 |
2.82 |
0.958 |
-27% |
12 |
33.6% |
-1.427 |
-43% |
12 |
jackzig |
|
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First Place Forecasters by Z-Score |
Total Absolute |
|||||||
|
Storm # |
Date |
Forecaster |
Class |
4casts |
Error |
Error
Z |
%MPROV
over AVG |
Rank |
|
1 |
17-Dec |
wxduff |
Intern |
16 |
9.05 |
-1.983 |
48.3% |
1 |
|
7 |
28-Jan |
Donald Rosenfeld |
Senior |
25 |
28.00 |
-1.645 |
29.1% |
1 |
|
5 |
10-Jan |
emoran |
Senior |
23 |
29.90 |
-1.545 |
43.1% |
1 |
|
2 |
19-Dec |
donsutherland1 |
Chief |
19 |
31.55 |
-1.461 |
37.4% |
1 |
|
4 |
7-Jan |
shanabe |
Senior |
13 |
13.40 |
-1.290 |
46.6% |
1 |
|
6 |
18-Jan |
Donald Rosenfeld |
Senior |
24 |
32.15 |
-1.222 |
26.8% |
1 |
|
3 |
21-Dec |
emoran |
Senior |
21 |
25.45 |
-1.213 |
37.2% |
1 |
|
8 |
2-Mar |
herb@maws |
Senior |
27 |
42.05 |
-1.067 |
37.4% |
1 |
|
First Place Forecasters by Z-Score |
R-square |
|||||||
|
Storm # |
Date |
Forecaster |
Class |
4casts |
R-SQ
|
Error
Z |
%MPROV
over AVG |
Rank |
|
7 |
28-Jan |
shanabe |
Senior |
25 |
89.2% |
2.086 |
36.0% |
1 |
|
5 |
10-Jan |
shanabe |
Senior |
20 |
63.2% |
1.535 |
90.0% |
1 |
|
5 |
10-Jan |
emoran |
Senior |
23 |
62.9% |
1.524 |
89.4% |
2 |
|
5 |
10-Jan |
donsutherland1 |
Chief |
21 |
61.1% |
1.430 |
83.8% |
3 |
|
2 |
19-Dec |
bruced39 |
Journeyman |
19 |
81.3% |
1.418 |
26.2% |
1 |
|
2 |
19-Dec |
donsutherland1 |
Chief |
19 |
79.4% |
1.261 |
23.3% |
2 |
|
5 |
10-Jan |
anthony |
Rookie |
20 |
57.1% |
1.224 |
71.7% |
4 |
|
2 |
19-Dec |
emoran |
Senior |
19 |
78.7% |
1.197 |
22.1% |
3 |
|
Forecaster |
Class |
|
answered7 |
Rookie |
|
anthony |
Rookie |
|
apisces1 |
Journeyman |
|
bruced39 |
Journeyman |
|
defman27 |
Intern |
|
dmcguriman |
Senior |
|
Don Rooney |
Senior |
|
Donald Rosenfeld |
Senior |
|
donsutherland1 |
Chief |
|
emoran |
Senior |
|
herb@maws |
Senior |
|
ilibov |
Senior |
|
jackzig |
Senior |
|
MarkHofmann |
Rookie |
|
Mitchel Volk |
Senior |
|
Newa |
Journeyman |
|
NYNJPAWeather |
Rookie |
|
Raven |
Senior |
|
shanabe |
Senior |
|
skiGirl |
Rookie |
|
TQ |
Senior |
|
TrekkerCC |
Intern |
|
weathafella |
Journeyman |
|
weatherT |
Rookie |
|
wxduff |
Intern |
Complete forecast summary data table (HTML)
Forecasters qualify
for ranking in the FINAL standings if they enter at least two-thirds
(2/3) of all Contests. For example…if you made a total of nine (9)
forecasts…your six (6) best forecasts are used to evaluate your
performance. You can think of it as dropping the worse quiz scores
before your final grade is determined. The reasons we have this rule are
1) to encourage forecasters to take on difficult and/or late-season storms
without fear about how a bad forecast might degrade their overall
'season-to-date' performance score(s) and 2) to allow you to miss an event or
two and still qualify for ranking.
The normalized average SUMSQ
Error is the Contest/s primary measure of forecaster performance.
This metric measures how well the forecaster/s expected snowfall
'distribution and magnitude' for all stations captured the 'distribution
and magnitude' of all observed snowfall amounts. A forecaster
with lower average SUMSQ Z-scores has made more skillful forecasts than a
forecaster with higher average SUMSQ Z-scores.
The 'Storm Total
Precipitation' error statistic is the absolute arithmetic difference
between a forecaster/s sum total snowfall for all stations and the observed sum
total snowfall. This metric…by
itself…is not a meaningful measure of skill…but can provide additional insight
of a forecaster/s skill.
The 'Total
Absolute Error' statistic is the average of your total forecast
errors…regardless of whether you over-forecast or under-forecast. This metric measures the magnitude of your
absolute errors.
The 'Average
Absolute Error' is the forecaster/s Total Absolute Error divided by the
number of stations where snow was forecast or observed.
The RSQ error statistic is a measure of the how well the forecast captured the variability of the observed snowfall.