The character of temperature and moisture gradients in the atmospheric
surface layer is shown to be related to the intensity of visual disto
rtions or ''blurring'' of images routinely detected by electo-optical
systems and sensors. The authors are able to make quantitative approxi
mations of the optical turbulence effect as represented by the refract
ive-index structure parameter C(n)2. Through the application of Monin-
Obukhov similarity, the magnitudes of potential temperature and specif
ic humidity gradients are determined using values of sensible and late
nt heat fluxes estimated from a semiempirical radiation and energy bal
ance model. The model is constrained to require a minimum number of co
nventional meteorological inputs at a specific reference level (i.e.,
2 m). These measurements include temperature, pressure, relative humid
ity, and wind speed. The model also requires a judgment of soil type a
nd moisture (dry, moist, or saturated), cloud characteristics (tenths
of cloud cover, opacity, and an estimate of cloud height), day of the
year, time of day, and longitude and latitude of the site of interest.
Model concepts and equations are presented and several sample results
are illustrated. Model estimates of net radiation; sensible, ground,
and latent heat fluxes; and C(n)2 are compared with measured values or
values derived from measurements.