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Time series of NA SCE <strong>an</strong>d AO<br />

During spring, <strong>the</strong> AO appears to contribute signific<strong>an</strong>tly to <strong>the</strong> vari<strong>an</strong>ce in snow extent at both<br />

inter<strong>an</strong>nual <strong>an</strong>d decadal scales (table 1). Nei<strong>the</strong>r <strong>the</strong> PNA nor <strong>the</strong> PDO are signific<strong>an</strong>tly correlated<br />

to snow extent individually, but at inter<strong>an</strong>nual time scales <strong>the</strong>y do appear to contribute in <strong>the</strong><br />

multiple correlation <strong>an</strong>alysis. The smoo<strong>the</strong>d (i.e. decadal scale) correlation between AO <strong>an</strong>d snow<br />

extent is very high (rsmooth = –0.93), explaining ~86% of <strong>the</strong> vari<strong>an</strong>ce, while nei<strong>the</strong>r of <strong>the</strong> o<strong>the</strong>r<br />

two indices contribute to <strong>the</strong> expl<strong>an</strong>atory power. Note that a correlation of this magnitude (rsmooth<br />

=–0.93) is not signific<strong>an</strong>t (p=0.05) in this <strong>an</strong>alysis because of <strong>the</strong> diminished number of effective<br />

degrees of freedom due to autocorrelation in <strong>the</strong> time series. Figure 1 shows smoo<strong>the</strong>d time series<br />

that have been normalized so that units are comparable. March snow extent (inverted), including<br />

values from satellite observations <strong>an</strong>d <strong>an</strong> historical reconstruction, are shown along with AO<br />

variations <strong>an</strong>d two historical NAO time series derived from station observations. March snow<br />

extent <strong>an</strong>d <strong>the</strong> AO appear to vary inversely, <strong>an</strong>d <strong>the</strong> reconstructed snow <strong>an</strong>d NAO time series<br />

indicate that this relationship holds <strong>as</strong> far back <strong>as</strong> <strong>the</strong> mid 1940s; prior to that time <strong>the</strong> relationship<br />

appears to weaken. It is not clear whe<strong>the</strong>r <strong>the</strong> pre-1940s deterioration of <strong>the</strong> snow-circulation<br />

relationship is real, or due to (1) <strong>the</strong> difference between <strong>the</strong> EOF-b<strong>as</strong>ed AO <strong>an</strong>d <strong>the</strong> station-b<strong>as</strong>ed<br />

NAO time series, or (2) to possible inaccuracies in one or more of <strong>the</strong> historical data sets.<br />

Table 1. Pearson correlation coefficients, <strong>an</strong>d multiple correlation coefficients, between North<br />

Americ<strong>an</strong> snow extent b<strong>as</strong>ed on satellite observations <strong>an</strong>d atmospheric circulation indices for <strong>an</strong>nual<br />

(r <strong>an</strong>nual) <strong>an</strong>d 9-year running me<strong>an</strong> (r smooth) time series. Values marked with <strong>an</strong> <strong>as</strong>terisk are statistically<br />

signific<strong>an</strong>t at p=0.05. Sample sizes for <strong>an</strong>nual <strong>an</strong>d smoo<strong>the</strong>d time series are n <strong>an</strong>nual = 39 <strong>an</strong>d n smooth = 31,<br />

respectively. However, effective sample sizes are smaller due to temporal autocorrelation.<br />

SPRING<br />

J<strong>an</strong>uary–February–March Indices<br />

versus<br />

March <strong>Snow</strong> Extent<br />

r<strong>an</strong>nual rsmooth AO –0.45* –0.93<br />

PNA –0.26 –0.25<br />

PDO 0.00 –0.25<br />

AO/PNA 0.54* 0.93<br />

AO/PDO 0.46* 0.93<br />

PNA/PDO 0.38 0.25<br />

AO/PNA/PDO 0.60* 0.93<br />

Figure 1. 9-yr running me<strong>an</strong> values of JFM AO (solid), extended NAO from station observations (from <strong>the</strong><br />

Climate Research Unit at <strong>the</strong> University of E<strong>as</strong>t Anglia) (d<strong>as</strong>hed), extended NAO from station observations<br />

(from <strong>the</strong> National Center for Atmospheric Research) (dots), March snow extent from satellite observations<br />

<strong>an</strong>d reconstructed March snow extent from (Brown 2000) (<strong>as</strong>terisks) which have been inverted for e<strong>as</strong>ier<br />

comparison. All time series have been normalized to fit on <strong>the</strong> same scale.<br />

40

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