A simple spectral model of solar energy input to the sea surface was extended to
incorporate space-borne data. The extension involved finding a method of determining
aerosol optical thickness (on the basis of AVHRR data) and the influence
of cloudiness (on the basis of METEOSAT data) on the solar energy flux. The
algorithm for satellite data assimilation involves the analysis of satellite images
from the point of view of cloud identification and their classification with respect
to light transmission. Solar energy input values measured at the Earth’s surface
by traditional methods were used to calibrate and validate the model. Preliminary
evaluation of the results indicates a substantial improvement in the accuracy of estimates of solar energy input to the sea surface in relation to models utilising only traditionally obtained data on the state of the atmosphere