ESTIMATION OF ATMOSPHERIC TRANSMITTANCE FROM UPPER-AIR HUMIDITY

Citation
La. Rasmussen et al., ESTIMATION OF ATMOSPHERIC TRANSMITTANCE FROM UPPER-AIR HUMIDITY, Solar energy, 62(5), 1998, pp. 359-368
Citations number
18
Categorie Soggetti
Energy & Fuels
Journal title
ISSN journal
0038092X
Volume
62
Issue
5
Year of publication
1998
Pages
359 - 368
Database
ISI
SICI code
0038-092X(1998)62:5<359:EOATFU>2.0.ZU;2-X
Abstract
A very simple model of atmospheric transmittance uses as its input reg ularly observed and archived measures of upper air humidity. The five model parameters were determined empirically to optimize the agreement with radiation measured at six sites in the northwestern contiguous U .S. in summer and winter 1990. The model uses the relative humidity at 500 hPa, the relative humidity at either 950 hPa or 800 hPa depending on the altitude of the station, and the precipitable water. Although the model does not use cloud observations explicitly, it is partitione d into a low-humidity stage and a high-humidity stage with markedly di fferent dependences on relative humidity. In the low-humidity stage th e transmittance is approximated as the product of factors for dry air and for water vapor. In the high-humidity stage the transmittance is t he product of the transmittances of each of the two layers used; the p roduct is a strongly decreasing function of relative humidity, as a re presentation of the effect of cloud. A split-sample test using measure ments for spring and autumn indicated that the model parameters were n ot badly distorted by conditions unique to the summer and winter seaso ns. In terms of the average daily global shortwave radiation received at the surface, the rms errors are 31 W m(-2) in spring, 33 in summer, 30 in autumn, and 18 in winter. The corresponding relative errors are 0.25, 0.17, 0.20, and 0.31. Because of high-frequency temporal variat ion in the model residuals, the error declines to about half of the da ily error for 7-day averages and to about a quarter of the daily error for 30-day averages. (C) 1998 Elsevier Science Ltd. All rights reserv ed.