This paper deals with linear correlations between solar irradiation sums and sunshine duration for mapping global, diffuse and direct irradiation. All values represent long-term averages of monthly mean daily sums. The first part of this paper describes a set of fourteen correlation equations based
Estimating monthly mean valuesof daily total solar radiation for Australia
โ Scribed by M.F. Hutchinson; T.H. Booth; J.P. McMahon; H.A. Nix
- Publisher
- Elsevier Science
- Year
- 1984
- Tongue
- English
- Weight
- 672 KB
- Volume
- 32
- Category
- Article
- ISSN
- 0038-092X
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โฆ Synopsis
Monthly mean values of daily total solar radiation were obtained for the widest possible network across Australia. Bureau of Meteorology sources yielded 11 stations with long term records of both measured daily total solar radiation and sunshine hour values 9 Monthly modified Angstrom equations were developed from these data and used to estimate radiation values for a further 90 stations in the Bureau of Meteorology network that had sunshine hour data 9 Measured daily total solar radiation data were obtained from a variety of sources mostly outside the Bureau of Meteorology fietwork for an additional 33 stations. Finally, estimates of solar radiation from detailed cloud cover data were used for a further 12 stations, selected because they filled in significant gaps in coverage 9 These various sources yielded a total of 146 sets of monthly mean values of daily total solar radiation. For each month optimal surfaces, which were functions of position only, were fitted to this network of values using Laplacian smoothing splines with generalized cross validation 9 Residuals from the fitted surfaces at the data points were acceptably low. Fitted surfaces which included, in addition to position variables, a cloudiness index based on a transform of mean monthly precipitation further reduced these residuals. The latter fitted surfaces permit estimation of monthly mean values of total daily solar radi.ation at any point on the continent with a root mean 9 9 -2 -, square predlctwe error of no more than 1.25 MJ m day (5.2 per cent of the network mean) in summer and 0.74 MJ m -2 day-' (5.5 per cent of the network mean) in winter 9 I 9 IN-I'RODUCTION
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