Tests of the kriging estimates indicate that the procedure will work well for estimating meteorological variables over large temporal gaps. The table below shows the scalar accuracy measures after estimating hourly data over the course of an entire year (1985) at both the Asheville Regional Airport (AVL; station 03812_723150) and Piedmont Triad International Airport in Greensboro (GSO; station 13723_723170). Data from these two stations were removed from the spatial interpolation procedure so that the estimates remain independent of the observations at these locations. Note that the final estimates for both cloud cover and precipitation derive from other interpolation methods. It is important to recognize that the scalar accuracy measures are compared hour by hour and do not account for smallscale spatial discontinuities, such as fronts. Therefore, it remains critical to analyze the time series of the observations compared with that of the estimates. Please view the time series for each meteorological variable at both Asheville and Greensboro.
Mean error (bias)
Variable 03812_723150 13723_723170
tair 0.1702 0.4105 (K)
dewp 0.0110 1.8102 (K)
wspd 1.1229 0.5184 (m/s)
Mean absolute error
Variable 03812_723150 13723_723170
tair 2.0271 1.8375 (K)
dewp 1.9156 2.2319 (K)
wspd 2.0497 1.1737 (m/s)
Mean squared error
Variable 03812_723150 13723_723170
tair 6.7146 5.5040 (K^{2})
dewp 6.2015 8.7284 (K^{2})
wspd 6.7230 2.1881 (m^{2}/s^{2})
Root mean squared error
Variable 03812_723150 13723_723170
tair 2.5913 2.3461 (K)
dewp 2.4903 2.9544 (K)
wspd 2.5929 1.4792 (m/s)
Pearson Correlation
Variable 03812_723150 13723_723170
tair 0.9648 0.9723
dewp 0.9713 0.9771
wspd 0.5168 0.6729
