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Rapid evolution of computers in last decades provides complicating atmospheric models with detailing vertical profiles,
accounting for irregular clouds in wide spectral ranges. Numerical algorithms for calculating radiative characteristics with
maximal exactness and minimization of uncertainty are usually applied. There are many different computer codes including
look-up tables with aerosols characteristics, water vapor, atmosphere conditions in different latitudes, continental and sea
conditions, and seasons. Sophisticated approaches for calculating optical parameters are based on scattering and radiative
transfer theories. It is very useful for applied problems. However the analysis of separate factors influence on atmospheric
radiative characteristics without of considering all possible variations of the whole totality is often necessary for many research
problems. For that case the simple models of homogeneous (for the clear atmosphere) and two or three layer atmosphere (for
cloudy cases) allow operative varying considered atmospheric optical parameters and provide result that hardly contributes to
complicate models and clearly elucidate an interactions between of key atmospheric parameters and radiative characteristics.
Two-stream methods of radiative transfer theory ensure an acceptable exactness for calculating integral (over viewing directions)
radiative characteristics (irradiance and radiative divergences). Asymptotic formulas are also effective for fast and transparent
calculation in case of the cloud atmosphere. A simplest optical model is accepted of the homogeneous clear atmosphere
including ozone absorption in UV ranges, molecular scattering, and four variants of the aerosol content at selected shortwave
wavelength. In cloud case three variants of extended cloud layer are added. Radiative characteristics together with heating rate
are calculated and presented in this study. Results of optical parameters retrieved from observation of solar radiation in the
atmosphere and radiative characteristics are compared with simple modelling.
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