A two-site wind correlation model was first modified and then tested on lon
g-term data from five pairs of Canadian weather stations. The stations were
chosen to cover a variety of topographic situations and surface cover type
s. A preliminary analysis of data from each of the 10 stations concluded th
at an absolute minimum of 12 months of monitoring is needed to estimate the
long-term wind speed distribution. Increasing this short-term monitoring p
eriod to 24 months causes noticeable improvements; thereafter, the improvem
ent is more gradual. It was also found that a short-term monitoring period
between 12 and 24 months might produce worse estimates than for a 12-month
period. For the two-site tests, one station from each of the five pairs was
designated as a reference station; the other was designated as a tai get s
tation, It was found that the model results derived from 1 yr of short-term
simultaneous monitoring at the two stations and long-term data at the refe
rence station outperform the estimates based solely on 2 yr of monitoring a
t the target station. The model results are further improved by using 2 yr
of short-term monitoring. The conclusions from this study have implications
for wind energy and air pollution studies where long-term estimates of the
wind speed and direction distribution are needed and must be based on a re
latively short-term period of monitoring. (C) 1999 Elsevier Science Ltd. Al
l rights reserved.