This paper examines time and space patterns of autumn soil moisture for the
south-eastern Canadian Prairie provinces and looks for potential teleconne
ctions between these patterns and remote forcing. A unique 35-year dataset
of annually-measured (in the autumn) soil moisture at 35 sites was subjecte
d to principal component analysis. The dataset comprised gravimetric soil w
ater contents at depths of 15, 30, 46 and 76 cm. For the composite of all s
oil depths, the first three principal components explained 34, 10 and 8% re
spectively, of the total variance. The first component, reflecting moisture
changes over the entire study area, is the only one likely to be related t
o large-scale remote forcing and to be potentially predictable. The remaini
ng components, related to moisture gradients within the study area, are pro
bably either random fluctuations or responses to smaller-scale, less-remote
forcing, as well as being less amenable to prediction. Analysis of the tim
e-series amplitudes of the first mode showed significant correlations with
several teleconnection indices; these were the North Pacific sea surface te
mperature (NPSST), the East Pacific pattern, and several indices of Arctic
temperature anomalies. The highest correlations were found with the NPSST i
ndex, with early summer NPSST anomalies appearing mainly to influence autum
n soil moisture, particularly the deeper layers. Although the magnitudes of
the correlations were low, the results of this study contribute towards a
better understanding of soil moisture variations and their potential predic
tors on the eastern Canadian Prairies. This may be useful for predictions o
f the succeeding year's crop and forage yields, as well as spring runoff an
d summer streamflow. Copyright (C) 1999 Royal Meteorological Society.