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Abstract
Relationships for determining the maximum permissible distance for extrapolating daily totals of solar radiation from measurement sites are established for mesoscale monitoring networks in southern Arizona and the Tennessee Valley Authority (TVA) region. The method involves calculation of the standard deviation of the daily differences in solar radiation receipt for pairs of measurement stations in order to determine a coefficient of variability. This is then plotted as a function of distance between station pairs to establish an extrapolation distance relationship.
Results indicate that the solar climate of southern Arizona has much greater spatial coherence than that for the TVA region, thus permitting extrapolation of data over longer distances. However. extrapolation distances for daily totals of solar radiation are very small in either study area. Applied to monthly totals for an error tolerance of ±10% at a 90% confidence level. permissible extrapolation distances of more than 400 km for southern Arizona and ∼200 km for the Tennessee Valley were found. However, the extrapolation distances may vary with season.
Abstract
Relationships for determining the maximum permissible distance for extrapolating daily totals of solar radiation from measurement sites are established for mesoscale monitoring networks in southern Arizona and the Tennessee Valley Authority (TVA) region. The method involves calculation of the standard deviation of the daily differences in solar radiation receipt for pairs of measurement stations in order to determine a coefficient of variability. This is then plotted as a function of distance between station pairs to establish an extrapolation distance relationship.
Results indicate that the solar climate of southern Arizona has much greater spatial coherence than that for the TVA region, thus permitting extrapolation of data over longer distances. However. extrapolation distances for daily totals of solar radiation are very small in either study area. Applied to monthly totals for an error tolerance of ±10% at a 90% confidence level. permissible extrapolation distances of more than 400 km for southern Arizona and ∼200 km for the Tennessee Valley were found. However, the extrapolation distances may vary with season.
Abstract
A synoptic approach to the analysis of solar radiation regimes is undertaken with the aim of developing a synoptic solar radiation climatology. Synoptic weather types for an area including British Columbia and the adjacent regions of the northeastern Pacific are defined using an objective correlation classification technique. These weather types are shown to determine statistically distinct solar radiation distributions.
However, further analysis shows that the distinctiveness of the solar radiation regimes is not sufficient to be used in practical applications such as interpolation between measurement stations, estimation of solar radiation inputs in the absence of observed data or in the explanation of the interannual variability of solar radiation.
As a result, attempts to base a solar radiation climatology solely on the synoptic regimes defined using the readily available data and techniques employed in this study are not justified. However, the statistical analyses do suggest that the use of more appropriate synoptic data and typing techniques may overcome many of the inadequacies in the present study.
Abstract
A synoptic approach to the analysis of solar radiation regimes is undertaken with the aim of developing a synoptic solar radiation climatology. Synoptic weather types for an area including British Columbia and the adjacent regions of the northeastern Pacific are defined using an objective correlation classification technique. These weather types are shown to determine statistically distinct solar radiation distributions.
However, further analysis shows that the distinctiveness of the solar radiation regimes is not sufficient to be used in practical applications such as interpolation between measurement stations, estimation of solar radiation inputs in the absence of observed data or in the explanation of the interannual variability of solar radiation.
As a result, attempts to base a solar radiation climatology solely on the synoptic regimes defined using the readily available data and techniques employed in this study are not justified. However, the statistical analyses do suggest that the use of more appropriate synoptic data and typing techniques may overcome many of the inadequacies in the present study.
