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The El
Nino/Southern Oscillation (ENSO) has been studied extensively for
its impacts upon climate. The shorthand definition of El Nino
is an abnormal warming of the normally cold ocean waters of the
Humboldt Current off the coast of Peru. A more
formal measure used by many meteorologists
is The Multivariate ENSO
Index , which
tracks both sea and air temperatures along with wind, pressure
and cloud cover across the tropical Pacific. The data is
combined and normalized to a monthly value where +1 = one standard
deviation above normal (El Nino condition) and -1 = one
standard deviation below normal (La Nina condition). I'll
refer from now on to the MEI index, which is graphed below since
1950:

As most of us
have observed, skilled weather forecasting has become very accurate
in the short term, very useful for storm-chasing 3-5 days
out, but more speculative beyond a week.
Beyond 2 weeks I find it more useful to rely on historical
records. El Nino/La Nina is the exception to this rule of
thumb because the condition tends to persist for several months at
a time. I have examined the monthly MEI table, which is
used in the graph above and is updated with about a 1.5 month
lag. With over 700 monthly values since 1950, each month's
MEI index can be correlated with the index 1, 2, 3, etc.
months in the future to demonstrate how likely an El Nino or La
Nina condition might persist. Results are shown
here:
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Persistence of
El Nino/La Nina
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1
month:
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96%
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13
months:
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1%
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2
months:
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89%
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14
months:
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-3%
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3
months:
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81%
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15
months:
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-6%
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4
months:
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71%
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16
months:
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-8%
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5
months:
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62%
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17
months:
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-10%
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6
months:
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52%
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18
months:
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-11%
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7
months:
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43%
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21
months:
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-13%
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8
months:
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34%
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24
months:
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-11%
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9
months:
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26%
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27
months:
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-9%
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10
months:
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18%
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30
months:
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-6%
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11
months:
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12%
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33
months:
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-3%
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12
months:
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6%
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36
months:
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0%
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When I first
wrote this article on 11/21/07 the last posted value of MEI was
-1.117 for SEP/OCT 2007, and I expressed strong confidence
that the observed La Nina condition would be in effect through the
end of 2007, and some confidence that it would persist for the
entire 2007-08 ski season. Notice that there is a very mild
tendency for El Nino/La Nina to reverse itself 15-30 months in the
future (think of a bathtub sloshing one side to the other), and
only after 3 years do all effects of prior conditions disappear. It
turned out that La Nina remained strong (2007-08 was 4th highest La
Nina in the past 42 years) through FEB/MAR 2008, then dissipated
over the next 3 months to a neutral value of +0.050 as of MAY/JUN
2008.
While we have
established that El Nino/La Nina are persistent weather events,
their effects upon ski area snowfall are less clear-cut. I
have correlated the monthly MEI table with all
of the monthly snowfall data I have collected through 2007, and the
list of ski areas with statistically significant snowfall
sensitivity to El Nino/La Nina is much shorter than most people
think.
The monthly
correlations are not large enough to have much predictive value.
But by combining 6 consecutive months together to form seasonal
data, the correlations for some areas get into the 50% range. This
fits with observed experience that in big El Nino or La Nina years
the expected effects occur from time to time but not consistently.
So I considered the seasonal correlations to be the main criteria
in classifying areas. Not all areas provide complete November to
April data, and I like to have 20+ seasons to draw
conclusions.
For areas
without enough complete seasons I looked at the monthly
correlations, but also at the seasonal ones for nearby areas with
many complete seasons. For example Sugar Bowl is likely to be
affected similarly to nearby Donner Summit and Alpine
Meadows. It is important to realize that season correlations
based upon 15-40 data points have much more uncertainty than the El
Nino/La Nina persistence correlations based upon over 700 data
points.
The list of ski
areas favored by El Nino, along with their monthly and season
correlations to the MEI index, is shown below:
| Area |
Monthly |
Seasonal |
Seasons |
| Strongly
favored by El Nino |
|
|
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| Southern California Composite 7,000 - 8,000 |
23.1% |
53.2% |
33 |
| Arizona Snowbowl 1, Ariz. 9,500 |
21.2% |
53.2% |
17 |
| Brian Head, Utah 9,770 |
18.0% |
46.2% |
17 |
| Arizona Snowbowl 2, Ariz. 10,800 |
18.6% |
45.6% |
18 |
| Portillo, Chile 9,400 |
|
44.9% |
38 |
| Las Lenas, Argentina 7,400 |
18.7% |
44.4% |
22 |
| |
|
|
|
| Mildly
favored by El Nino |
|
|
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| June Mtn, Calif. 8,700 |
19.8% |
|
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| Taos, N. Mex. 11,200 |
12.7% |
26.1% |
36 |
| Thompson Pass (Chugach), Alaska 2,450 |
12.6% |
38.1% |
20 |
| Mammoth Mtn, Calif. 9,600 or 8,900 |
11.1% |
27.3% |
40 |
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El Nino
strongly favors only Southern California, Arizona and far southern
Utah, with milder effects extending to the southern Sierra and New
Mexico. In El Nino years the only big destination resorts
that are favored are Mammoth and Taos, with both of those in the
mild category. In La Nina years Mammoth is likely still good
for mid and late season, but earlier bookings should wait until
snow is on the ground. Taos takes until nearly February to get
fully covered in normal years, and skiers should be more wary
during La Nina years. The data I acquired for Las Lenas in
2005 and Portillo in 2007 support the prevailing view that the high
Andes are strongly favored by El Nino. Advance bookings to South
American ski areas should be avoided in La Nina years until snow is
on the ground.
I have
constructed graphs to illustrate the variability of the
snowfall correlations to El Nino/La Nina. The one below is
for selected areas favorable to El Nino. Since the 2
strongest La Nina years were 1973-74 and 1970-71, I select areas
with data that goes back that far.

The horizontal
axis lists the past 41 ski seasons in order of strong El Nino at
left to strong La Nina at right. The vertical axis is percent
deviation from normal snowfall. The blue line is the sum
of MEI indicies from OCT/NOV to APR/MAY, scaled to fit the
graph.
The purple line
shows the dramatic boost to Southern California snowfall from El
Nino, with the 2 biggest snow years correponding to the 2 big El
Nino of 1982-83 and 1997-98. 5 of the top 6 El Ninos produced
at least 170% of normal snow. There are no guarantees even
here, as the other season 1986-87 was a real stinker at only
59%. The top 8 La Nina seasons were all below average in
Southern California, though only one was lower than 77%.
Moving to Taos
(yellow line) the effect is less dramatic. The 2 big El Ninos
were 116% and 118% of average, while Taos' record 1972-73
season at 174% was in the 5th highest El Nino year. But
only 1991-92 of the top 7 EL Nino years was below average at
Taos, and that one was still 94% of average. For the top 8 La
Nina years, Taos is missing data for 1970-71, 1974-75 was a good
year at 138% and 2007-08 above average. 1999-2000 was bad at 58%
and the other 4 were below average in the 85% range.
In the Sierra
the picture is mixed. Everyone remembers the record Sierra
snow during the record El Nino of 1982-83. But the 3rd and 4th
strongest El Ninos (1991-92 and 1986-87) were severe drought years
at Tahoe, and 1986-87 was Mammoth's second worst season ever at
42%. Nonetheless 4 of the top 8 El Nino years (1982-83,
1992-93, 1994-95 and 1997-98) were at least 145% at Mammoth (orange
line) and those same years were at least 125% at Donner Summit
(light blue line) and Lake Tahoe.
At Mammoth the
top 6 La Nina seasons were all below average, 3 of them by 30% or
more. At Donner Summit it's a different story, as the top 2
La Ninas and 5 of the top 8 are above average. Lake Tahoe La
Nina seasons are probably assisted by colder temperatures
minimizing low elevation rain. This relatively good La Nina
track record is the reason that the MEI correlations are low and
statistically insignificant for areas like Kirkwood, Squaw Valley
and Alpine Meadows.
Ski Areas Favored by
La Nina
Ski Areas
Indifferent to El Nino/La Nina
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