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Scientists Verify Predictive Model For Winter Weather

Date:
August 24, 2007
Source:
National Science Foundation
Summary:
Scientists have verified the accuracy of a model that uses October snow cover in Siberia to predict upcoming winter temperatures and snowfall for the high- and mid-latitudes of the Northern Hemisphere.

Researchers have validated a new weather prediction model that uses autumn snowfall to predict winter cold in the United States and Europe. When snowfall is high in Siberia, the resultant cold air enhances atmospheric disturbances, which propagate into the upper level of the atmosphere, or stratosphere, warming the polar vortex. When the polar vortex warms, the jet stream is pushed south leading to colder winters across the eastern United states and Europe. Conversely, under these conditions the Arctic will have a warmer than average winter.
Credit: Nicolle Rager Fuller, National Science Foundation

Scientists have verified the accuracy of a model that uses October snow cover in Siberia to predict upcoming winter temperatures and snowfall for the high- and mid-latitudes of the Northern Hemisphere.

The model is called sCast, short for seasonal forecast model. Atmospheric scientist Judah Cohen of AER, Inc., in Lexington, Mass., and colleagues analyzed seven real-time winter forecasts and 33 winter hindcasts (simulations of winters going back to 1972) to verify sCast.

"sCast works well in accurately predicting winter conditions over much of the eastern United States and Northern Eurasia," said Jay Fein, program director in the National Science Foundation (NSF)'s Division of Atmospheric Sciences, which funded the research. "Dynamical model prediction of winter climate remains a formidable challenge, and statistical approaches such as Cohen's continue to be a valuable alternative."

Cohen and colleagues outline the link between October snow cover in Siberia and the Northern Hemisphere's winter temperatures, and snowfall.

October is the month when snow begins to pile up across Siberia. October is also the month that the Siberian high, one of three dominant weather centers across the Northern Hemisphere, forms.

In years when Siberian snow cover is above normal, a strengthened Siberian high and colder surface temperatures across Northern Eurasia develop in the fall.

"The result is a warming in Earth's stratosphere that occurs in January," said Cohen. "This eventually descends from the stratosphere to Earth's surface over a week or two in January, making for a warmer winter in Northern Hemisphere high latitudes. However, in mid-latitudes it turns colder, so winters in the northeastern U.S. and eastern Europe are likely to be colder and snowier than normal. The skill of the sCast model takes us the next step beyond current seasonal forecast models employed worldwide."

The results are published this week in the Journal of Climate.


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The above story is based on materials provided by National Science Foundation. Note: Materials may be edited for content and length.


Cite This Page:

National Science Foundation. "Scientists Verify Predictive Model For Winter Weather." ScienceDaily. ScienceDaily, 24 August 2007. <www.sciencedaily.com/releases/2007/08/070820123745.htm>.
National Science Foundation. (2007, August 24). Scientists Verify Predictive Model For Winter Weather. ScienceDaily. Retrieved August 31, 2014 from www.sciencedaily.com/releases/2007/08/070820123745.htm
National Science Foundation. "Scientists Verify Predictive Model For Winter Weather." ScienceDaily. www.sciencedaily.com/releases/2007/08/070820123745.htm (accessed August 31, 2014).

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