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Weather –

October 2009, Vol. 64, N

o. 10

281

I’m dreaming of a...Emilie HobbsWootton Upper School, Bedfordshire

As soon as the few short weeks of summer

come to an end we turn our thoughts to

weather at the other end of the scale. That

is, snow. And along with this dream of pure

ice crystals tumbling out of the sky inevitably

comes Christmas; the dream of a magical,

and always much too rare, white Christmas.

Admittedly, I am a fan of these exceptional

events of nature, and relish any chance to

discover anything which would help me to

anticipate them accurately.

This chance came sooner than expected.

As the tradition of top maths sets goes, our

class had the privilege of two maths GCSEs,

not just one – the extra being Statistics

– a useful but not always thrilling sub-

ject. As usual, coursework was involved, and

we were left with the Christmas holidays

to think of a theme. Having high hopes

for one myself, I chose to explore white

Christmases.

The question I initially wanted to answer

was fairly simple: where is the best place

to live (in the UK) if you want a white

Christmas? This expanded, not only to loca-

tions within the UK, but also within different

periods of time. Choosing nine towns/cities

spread across the UK for which I could find

reliable data, I was able to produce various

graphs and statistics tracing back to the

1960s which revealed interesting results.

Figure 1 shows the total number of white

Christmases every year from 1960 to 2000,

for the nine towns I had chosen (Table 1).

Although there is no clear trend shown in

Figure 1, it does have an interesting pattern.

The first seven years had at the very least

one white Christmas, but as time went on,

this regularity seemed to deteriorate. From

1982 to 1992, on only three occasions did

any of my chosen locations have a white

Christmas. In 1992 and 1994, none of the

locations had a white Christmas and in 1996

just one experienced it. Yet in1993 and 1996,

two-thirds of the towns enjoyed a snowy

sprinkling on Christmas day.

Since these results were more complex

than I had anticipated, I decided to investi-

gate the matter a little further. I produced a

second graph (Figure 2) which further clari-

fies these results. To create it, I calculated

a five-point moving average from the data

presented in Figure 1, and presented it as a

percentage of the number of towns (nine)

which could have had a white Christmas. I

also calculated the standard deviation and

expressed it as a percentage of the mean, in

order to compare both on the same graph.

As you can see, it suggests a slight decrease

in the average number of white Christmases,

but a more interesting increase in the stand-

ard deviation. This confirms my thoughts

of less regularity by showing an increasing

range of snowfall between years.

Whatever the causes are, my project

definitely suggests a change, not in the

amount of snow, but in the pattern. After

all, if a simple statistics project can show

this, then there must be something going

on. Considering the small number of white

Christmases Great Britain has experienced

in the past few years, I know I am not

alone in feeling it’s about time I enjoyed

one. Although I won’t be travelling up

to Lerwick (the winning location of my

project), I will definitely be following the

weather forecasts with unusual attention

during this festive season, keeping my fin-

gers tightly crossed.

Correspondence to: Emilie Hobbs,

Wootton Upper School, Bedford, MK43 9HT, UK.

Email: [email protected]

© Royal Meteorological Society, 2009

DOI: 10.1002/wea.389

Table 1

Towns used to derive the statistics.

Aberdeen

Aberporth

Belfast

Birmingham

Bradford

Glasgow

Lerwick

London

St. Mawgan

Figure 1. Number of white Christmases between 1960 and1999.

0

2

4

6

8

1960

1962

1964

1966

1968

1970

1972

1974

1976

1978

1980

1982

1984

1986

1988

1990

1992

1994

1996

1998

Year

Num

ber

of w

hite

Chr

istm

ases

0

50

100

150

200

250

1960 1970 1980 1990 2000

Year

5-po

int m

ovin

g m

ean

perc

enta

ge a

vera

gean

d pe

rcen

tage

sta

rdar

d de

viat

ion

Mean % standard deviation as % of mean

Figure 2. Mean and standard deviation of white Christmases between

1960 and 1999.