Cpa. Bourque et Jj. Gullison, A TECHNIQUE TO PREDICT HOURLY POTENTIAL SOLAR-RADIATION AND TEMPERATURE FOR A MOSTLY UNMONITORED AREA IN THE CAPE-BRETON HIGHLANDS, Canadian Journal of Soil Science, 78(3), 1998, pp. 409-420
A technique was developed to obtain predictions of potential solar rad
iation and temperature for a prescribed, mostly unmonitored, area in t
he Cape Breton Highlands region of northeastern Nova Scotia (46 degree
s 39'N 60 degrees 57'W to 46 degrees 40'N 60 degrees 24'W). Hourly pre
dictions of incoming solar radiation are based on relations of sun-ear
th geometry, clear-sky atmospheric transmittance, and land-surface att
ributes resolved from digital terrain and vegetation models. The digit
al vegetation model characterizes vegetation cover and is used to defi
ne the average midday albedoes for the area in question. Hourly albedo
es are calculated according to assigned mid-day albedo and sun-illumin
ation angles. Land-surface characteristics (elevation, slope, aspect,
horizon angles, terrain configuration factor, and view factor) affect
total incident solar radiation by affecting the direct, diffused, and
reflected energy components. Hourly spatial variability in aboveground
daytime temperature is captured by way of a fully trained artificial
neural network (ANN) that describes hourly fluctuations of interior hi
ghland temperatures according to i) reference temperatures taken at tw
o lowland locations, one at Ingonish Beach and the other at Grande Ans
e; ii) distance from a north-south line representing the east coast of
the study area and from the Grande Anse location; iii) time of day; a
nd iv) land-surface attributes. Training the ANN involves supplying th
e network with actual data and having the network adjust its internal
weights iteratively so that the output values are sufficiently close t
o the supplied target values. Comparison of predicted and observed hou
rly spring-summer (1997) temperatures revealed that the constructed AN
N explained over 88% of the variability exhibited in the observed temp
eratures and that the standard error of estimate was 2.0 degrees C (me
an absolute error = 1.5 degrees C).