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1
Are Exceptionally Cold Vermont Winters Returning?
Dr. Jay Shafer
July 1, 2015
Lyndon State College
3
Outline
• What the cold forecast well?• How cold was it?• Arctic air characteristics• Regional climate controls• Climate trends• Activity – statistical method to predict seasonal weather
4
Dynamical Model Forecasts and Verification
Verification: 2013-14Forecast
http://iri.columbia.edu/our-expertise/climate/forecasts/seasonal-climate-forecasts/
http://www.esrl.noaa.gov/psd/data/usclimdivs/
5
Dynamical Model Forecasts and Verification
http://iri.columbia.edu/our-expertise/climate/forecasts/seasonal-climate-forecasts/
http://www.esrl.noaa.gov/psd/data/usclimdivs/
ForecastVerification: 2014-15
6
Seasonal Snowfall 2014-15
Above average snowfallin fact, winters are getting wetter, and the climate is cold enoughto sustain snow, so wintershave gotten snowier
7
Heating Degree Days
• HDD = 65 deg F - (daily avg temperature)• For example, high = 40, low = 20, daily avg temperature = 30• 65-30 = 35 HDDs • HDDs correlate well with energy use
8
Energy Use vs HDDs
150000 160000 170000 180000 190000 200000 210000 220000 230000 240000 2500006000
6250
6500
6750
7000
7250
7500
7750
8000
8250
8500
7585
6668
7205
8123
Lyndon State College Fuel Oil Consumption (Gallons)
Cum
ulati
ve S
t. Ja
y H
DD
s (O
ct 1
- M
ay 3
1)
2013-14
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Heating Degree Day Trends
1890 1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 20106000
6500
7000
7500
8000
8500
9000
f(x) = − 5.47765376823307 x + 18245.077668221
St. Johnsbury, VT: Cumulative Heating Degree Days Time Series
Oct
1 -
May
31
Cum
ulati
ve H
DD
s
Averaging 5 fewer HDDS a season, so about 100 fewer HDDSnext 20 years, a few percent less energy usage, on average.
Over the last century, heating demand has declined5-10 % due to winter warming.
10
Why were these last two winters so cold?
11
North American Circulation Pattern
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Arctic Air Mass Example – January 23, 2104
Arctic High Pressure
13
Where did the arctic air originate?Arctic air masses typically have a long residencetime over high latitude continental regions withsnow cover associated with high pressure systems
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Sampling arctic air at Lyndon State
15
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Arctic Air Mass Characteristics• Dry (typically sunny)• Very cold (less than -30 deg C)• Stable (difficult to get
precipitation/clouds to form)• Isothermal low-level air mass
(coldest air mass at the surface)
17
Very cold, stable air
18
19
Seasonal Controls of Winter Weather
Variability
20
El Niño/La Niña (Nino3.4) vs. Burlington Winter Temperatures
-2.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0
-1.5
-1.0
-0.5
0.0
0.5
1.0
1.5
2.0
2.5
3.0
El NiñoWarmN=6
El NiñoColdN=4
La NiñaWarmN=7
La NiñaColdN=3
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El Niño/La Niña (ENSO) Conclusions
• ENSO does not explain the variability • Other factors are at play, complex interactions of tropics and high
latitudes • Other areas of the US have significant winter ENSO relationships, but
not the Northeast US• ENSO has little to no effect on winter conditions in the Northeast US
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Snow Cover – Land Surface Feedbacks
23
http://climate.rutgers.edu/snowcover/
Snowy Octobers last two years
Theory: snowier fall conditions produce an increased risk for cold air mass developmentand eventual movement into middle latitudes –
In other words, if there’s more snow in the fall,then somewhere in the Northern Hemisphere,there is bound to be an enhanced risk of arctic airmasses moving southward away from the arctic.
This is an example of a positive feedback loop, annegative correlation.
24
Winters following high October Eurasian Snow Cover
Arctic air pathway is open more often
25
Winters following low October Eurasian Snow Cover
Cold air is shy and remains furthernorth – Alaska and northern Canada
26
Fall Sea-Surface Temperature Anomalies Preceding Cold Winters
North and Central Atlantic Oceanis average to cold.
Oceans play a significant rolein forcing the atmosphereover longer time periods.
27
Fall Sea-Surface Temperature Anomalies Preceding Cold Winters
North and Central Atlantic Oceanis warm to average.
Strong dipole of SSTs in north and central Pacific
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Arctic Oscillation
29
30
Vermont Climatic Changes
31
Heating Degree Day Trend – Temperature Trend
1890 1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 20106000
6500
7000
7500
8000
8500
9000
f(x) = − 5.47765376823307 x + 18245.077668221
St. Johnsbury, VT: Cumulative Heating Degree Days Time Series
Oct
1 -
May
31
Cum
ulati
ve H
DD
s
Averaging 5 fewer HDDS a season, so about 100 fewer HDDSnext 20 years, a few percent less energy usage, on average.
Over the last century, heating demand has declined5-10 % due to winter warming.
32http://journals.ametsoc.org/doi/full/10.1175/2011WCAS1096.1?prevSearch=[Contrib%3A+alan+betts]&searchHistoryKey=
Betts 2011
Winters are getting shorter and the growing season is increasing.
33
Betts 2011Winters are getting shorter through other proxies.
34
Seasonal Forecasting
35
Statistical Prediction Methods
• Relate numerical index values of oceanic temperature patterns (or whatever variable you choose) to the following winter’s temperature and precipitation• For example, you could look at the ENSO state, which represents El
Niño/La Niña, the largest oceanic oscillation on monthly to yearly time scales• We will relate the Arctic Oscillation to show how this is related to
winter temperatures
36
Statistical Methods: Fall Snow Cover
• Siberian snowfall during October has an effect on winter temperature patterns over the Northern Hemisphere.• There is well documented literature on the topic physically connecting
the two – as mentioned earlier• Enhanced fall snow cover enhances the Hemispheric cold air reservoir and
creates a greater potential for winter cold in the mid and high latitudes• Complex interaction involving stratosphere and troposphere, but it has been
physically described – still need “weather” events to move cold air south
37
Climate Prediction Center Forecasts
July, August, September Outlook
Precipitation forecasting is much more difficultthan temperature forecasting.
38http://iri.columbia.edu/our-expertise/climate/forecasts/seasonal-climate-forecasts/
http://www.cpc.ncep.noaa.gov/products/predictions/long_range/seasonal.php?lead=3
Fall (Sept – Nov) Outlook
39
Winter (Dec– Feb) Outlook
40
Conclusions
• Are cold winters returning? • No, not for the long haul• However, natural variability will continue to produce cold spells and
occasional prolonged cold weather like the last two winters
• Climate models struggle with seasonal forecasting and processes as snow cover-land surface feedbacks• Vermont winters are getting shorter (especially with their late arrival),
but they can have intense stretches as they have in the past• The next ten winters will probably be like the last ten winters
41
Activity
• Correlate Arctic Oscillation state with season cumulative HDDs• Hypothesis: Arctic Oscillation phase during winter has an effect on
Vermont seasonal temperatures• Excel sheet is available at: https://
drive.google.com/file/d/0B3NtxLJnOImFRUxHQU9qMnNJazg/view?usp=sharing
42