Atmospheric transmissivity: distribution and empirical estimation around the central Andes uri icon

abstract

  • This study of the distribution in space and time of atmospheric transmissivity tau takes into account the fact that, in complex terrain, many factors affect this variable; thus, it is not possible to use the generalizations that can be applied under more homogeneous conditions. Climatic controls, topography and even sea currents have important effects on clouds and aerosols affecting tau, simultaneously leading to differences in the distribution of incident solar radiation. Different models exist to estimate incoming solar radiation as a function of relative sunshine hours (observed sunshine hours/theoretical sunshine hours, n/N) or differences between maximum and minimum temperatures DeltaT. We calibrated, validated and evaluated four of these empirical relations based on data from 15 weather stations in Peru. Models were calibrated using 66% of the daily historical record available for each weather station; the rest of the information was used for validation and comparison. The Angstromngstrom -Prescott model was used to estimate incoming solar radiation based on n1N, and gave the best performance of all the models tested. The other models (Bristow-Campbell, Hargreaves, and Garcia) estimated incoming solar radiation based on DeltaT. Of all the models in this group, the Bristow -Campbell model performed best; it is also valuable because of the physical explanation involved. The empirical coefficients of all the models evaluated are presented here. Two empirical equations are proposed with which to estimate values of the coefficients b(B) and c(B) in the Bristow -Campbell model, as a function of DeltaT and latitude, allowing the model to be applied to other study areas. Copyright (C) 2004 Royal Meteorological Society.

publication date

  • 2004
  • 2004