CONTEST STATUS - Updated: SAT ... 11-APR-20 @ 8:30 PM EST

Winter '19 / '20 - Snowfall Forecast Contests
21st Annual 'Snow Storm' Snowfall Forecast Contest
Season ended as quickly as it started.
No winner this go'round ... too few storms (minimum of three required)

Snow Storm #1 (01-DEC-19)
FINAL Results here

---
19th Annual 'Season-total' Snowfall Forecast Contest
FINAL Results here

---
Winter '18 / '19 - Snowfall Forecast Contests
20th Annual 'Snow Storm' Snowfall Forecast Contest
FINAL Results here

---
18th Annual 'Season-total' Snowfall Forecast Contest
FINAL Results here
Forecaster verification table here

Saturday, September 23, 2017

Winter '16 / '17 - Arctic Oscillation (AO) Analog Verification

The analog forecasting technique seeks similarities to the AO state during the multi-month run-up to the coming winter with same AO run-ups of winters past.

The NEWxSFC method ranks analog years by their the sum of square errors (SSE) statistic.
Lower SSE errors ==> stronger analog

Arctic Oscillation (AO) Index Analog Forecast Verification

In the run-up to Winter '16 / '17 ... the leading analog was '12 / '13 followed by '73 / '74 ... '02 / '03 ... '74 / '75 ... and '88 / '89.  A qualitative assessment of the forecast's accuracy would rate the top three analogs as 'poor' ... IOW ... useless.

Winter '12 / '13 NAO oscillated weak negative to strong negative; whereas ... Winter '16 / '17 was essentially a mirror opposite.  The closest analogs ... on the basis of the AO remaining positive throughout the three-month forecast period ... were ranked last ('88 / '89) and next to last ('75 / '76).

Conclusion:  The top three Winter '16 / '17 AO analogs showed little ... if any ... skill.

---
An alternative forecasting technique looks at the AO's sign for any calendar-year's month preceding the pending winter as a potential leading indicator of the AO's sign for D-J-F period.

Results from a chi-square 'test for independence' infers a statistically significant relationship ... at the 95% confidence level and a p-value < 0.05 ... between NOV's AO sign and AO's sign of the upcoming D-J-F period.  IOW ... if NOV's AO is negative (positive) ... then average AO state during the upcoming winter will also be negative (positive); although the classification model is stronger ... i.e., lower false alarm rate ... for the predictor's month with a negative sign than positive.

Conclusion:  If NOV's AO is negative ... chances are good the AO state will average negative during D-J-F period.

---
Period-of-record AO data here.

Friday, September 15, 2017

Winter '16 / '17 - North Atlantic Oscillation (NAO) Analog Verification

The analog forecasting technique seeks similarities to the NAO state in the run-up to the coming winter with NAO run-up states of winters past. 

The NEWxSFC method ranks analog years by their the sum of square errors (SSE) statistic.
Lower SSE errors ==> stronger analog
Constraining the number of analog winters for analysis to five is arbitrary.

North Atlantic Oscillation (NAO) Index Analog Forecast Verification
In the run-up to Winter '16 / '17 ... the leading analog was '08 / '09 followed by '51 / '52 ... '54 / '55 ... '74 / '75 ... and '11 / '12.  A qualitative assessment of the forecast's accuracy would rate the top four analog as 'poor' ... IOW ... useless.

Winter '08 / '09 NAO was negative to neutral trending positive into MAR; whereas Winter '16 / '17 was weakly positive trending moderate.  The closest analog ... on the basis of the NAO remaining positive throughout the three-month forecast period ... was ranked last ('11 / '12).

Conclusion:  Winter '16 / '17 NAO analogs showed little ... if any ... skill.

---
An alternative forecasting technique looks at the NAO's sign for any calendar-year's month preceding the pending winter as a potential leading indicator of the NAO's sign for D-J-F period.

Results from a chi-square 'test for independence' infers a statistically significant relationship ... at the 95% confidence level and a p-value < 0.05 ... between NOV's NAO sign and NAO's sign of the upcoming D-J-F period.  IOW ... if NOV's NAO is negative (positive) ... then the average NAO state during the upcoming winter will also be negative (positive); although the classification model is stronger ... i.e., lower false alarm rate ... for the predictor's month with a positive signs than negative.

Conclusion:  If NOV's NAO is positive ... chances are good the NAO state will average positive during the D-J-F period.

---
Period-of-record NAO data here.