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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Atmospheric Researcharrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Atmospheric Research
Article . 2015 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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A single method to estimate the daily global solar radiation from monthly data

Authors: C. Armenta; F. Valero; A. Manzano; M. L. Martín;

A single method to estimate the daily global solar radiation from monthly data

Abstract

Abstract The performance of Angstrom–Prescott (A–P) linear equation to estimate global solar radiation on a horizontal surface at daily and monthly mean daily time bases over Spain is studied. The pretty good performance obtained for both time bases ensures a fast first estimation of the global solar radiation. Here, new sets of A–P coefficient values over Spain for the selected stations are provided. Moreover, the impact of both time bases on the A–P performance is analysed concluding that the A–P obtained coefficients can be permutated between daily and monthly mean daily time bases. Therefore, the monthly mean daily (daily) calibrated A–P coefficients can be directly applied for estimating the global solar radiation using daily (monthly mean daily) data. In order to test the validity of the A–P model coefficients' permutability for estimating global solar radiation over Spain, the performance of the permutated A–P model has been compared with that of other sunshine hour-based models (polynomic, exponential, logarithmic, regional and global A–P calibration and latitudinal dependent models). According to the results, the permutated A–P linear expression can be selected to estimate the solar radiation instead of the remainder models. The obtained results also remark the importance of the local calibration on the accuracy of global solar radiation estimation instead of using a single pair of coefficients for the whole domain.

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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    35
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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Found an issue? Give us feedback
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
35
Top 10%
Top 10%
Top 10%