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National Science Foundation
Introduction
 
A New and Better Way
 
Fall Predicts Winter
 
New Seasonal Forecast Model
 
model accuracy demonstrated
 
Classroom Resources
 
 
 
Germantown, MD: snowstorm. Click for larger image.

A snowstorm hit hard in Germantown, Md. in winter 2003. Click here for more information.

Credit: NOAA/NWS Historic Collection


Fall Predicts Winter
Insert info. Click for larger image.
A snowstorm buries cars in Baltimore, Maryland.

Credit: Bill Swartwout; www.SouthBaltimore.com

Researchers at AER and MIT are taking winter weather forecasting beyond El Nino by investigating the relationship between Siberian snow cover in fall months, and Northern Hemisphere climate variability during the winter. A forecast model developed by AER scientist Judah Cohen has achieved on-target forecasts for major cities in the industrialized countries.

"Weather affects peoples' lives and the global economy on a daily basis," says Anjuli Bamzai, program director in NSF's climate dynamics program. "Improving our ability to predict cold weather and heavy snow has obvious benefits. The success of Cohen's real-time forecasts offers a way to improve our ability to anticipate such important events."

Forecast Temperature Anomaly Jan-Feb-Mar 2014
Predicted winter surface temperature anomalies for the Northern Hemisphere Dec-Jan-Feb 2013/14 in degrees Fahrenheit. The model is forecasting cold for much of Western and Northern North America, the Mediterranean and south-central Asia, with warm for the Eastern U.S. and Northern Eurasia. The model uses October Siberian snow cover, sea level pressure anomalies, and predicted El Nino/Southern Oscillation anomalies. For the first time, sea ice anomalies from September, and circulation in the North Pacific, were used in generating the experimental forecast.

Credit: Judah Cohen, MIT and AER, Inc.
Predicting Seasonal Weather A Special Report
Forecasted Temperature Anomaly. Click for larger image. Observed Temperature Anomaly. Click for larger image.