The day after Tom Hultquist arrived in the Twin Cities in 2007 to work at the National Weather Service (NWS), a bit of snow turned his 30-minute commute into a three-hour slog.
Now he and other forecasters are looking for ways to combine winter storm forecasts with a more precise sense of the disruption they might mean for the metro area. Their aim is to develop a Winter Impact Index, so that winter storm forecasts might reflect the practical differences between 2 inches of snow at 8 p.m. (an easy brushoff) and 2 inches at 4 p.m. (metrowide gridlock).
"We want to correlate what we forecast to what happens to people," said Hultquist, chief science officer in the Chanhassen office of the NWS.
In pursuit of their index, Hultquist and forecaster Lisa Schmit have begun boring through voluminous traffic data gathered by Minnesota Department of Transportation pavement sensors and cross-checking it with weather data.
Today the agency generally issues winter weather advisories, watches and warnings that are nearly nuance-free.
Warnings are issued for expected snowfalls of 6 inches in 12 hours or 8 inches in 24 hours. Advisories are for expected snow of 3 to 5 inches in 12 hours. Over the past two winters, 40 percent of the 35 storm events prompted no alerts at all.
A Winter Impact Index could consider the time of day and the day of the week, on top of the expected snowfall. That might yield warnings that would give rush-hour commuters an estimate of how much longer their drive could be.
So how would this work? Hultquist pointed to last year's Dec. 8-9 snowstorm as an example of how forecasts could be improved.