The method to estimate spatial variability of radiation components utilized theoretical radiation modeling applied to a topographic model combined with spatial distribution of leaf area index derived from IKONOS imagery and empirical models derived from data collected on a single flux tower.
Thus, relatively high spatial resolution net radiation data are needed for evapotranspiration studies.
Spatial variability of radiation was found to be very sensitive to topographic relief and could be scaled linearly by mean slope angle.
In particular, the spatial correlation between radiation patterns excited at two different ports of the antenna array gives an indication of the level of decorrelation between the signals collected at the two array elements.
These methods are valid on places where the spatial variability of radiation is not significant, but becomes less accurate if complex terrain areas are present in between the radiometric stations.
Other factors affecting the energy efficiency of the systems are identified, such as the spatial convection and radiation heat transfer processes in indoor environments and the envelope thermal properties.
The diagnostics experiment of hot electron transport is performed on 286 TW SILEX-I laser facilities, and the spatial distribution of radiation caused by hot electron is imaged by Schwarzschild microscope.
We perform an asymptotic analysis of the spatial discretization of radiation absorption and re-emission in Implicit Monte Carlo (IMC), a Monte Carlo technique for simulating nonlinear radiative transfer.
