Spatial patterns in trends of four monthly variables: average temperat
ure, precipitation, streamflow, and average of the daily temperature r
ange were examined for the continental United States for the period 19
48-88. The data used are a subset of the Historical Climatology Networ
k (1036 stations) and a stream gage network of 1009 stations. Trend si
gnificance was determined using the nonparametric seasonal Kendall's t
est on a monthly and annual basis, and a robust slope estimator was us
ed for determination of trend magnitudes. A bivariate test was used fo
r evaluation of relative changes in the variables, specifically, strea
mflow relative to precipitation, streamflow relative to temperature, a
nd precipitation relative to temperature. Strong trends were found in
all of the variables at many more stations than would be expected due
to chance. There is a strong spatial and seasonal structure in the tre
nd results. For instance, although annual temperature increases were f
ound at many stations, mostly in the North and West, there were almost
as many downtrends, especially in the South and East. Among the most
important trend patterns are (a) increases in March temperature at alm
ost half of the stations; (b) increases in precipitation from Septembe
r through December at as many as 25 percent of the stations, mostly in
the central part of the country; (c) strong increases in streamflow i
n the period November-April at a maximum of almost half of the station
s, with the largest trend magnitudes in the north-central states; (d)
changes in the temperature range (mostly downward) at a large number o
f stations beginning in late spring and continuing through winter, aff
ecting as many as over half of the stations. The observed trends in st
reamflow are not entirely consistent with the changes in the climatic
variables and may be due to a combination of climatic and water manage
ment effects.