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<mods:namePart>Blas Corral, Marian de</mods:namePart>
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<mods:namePart>García Rodríguez, Ana</mods:namePart>
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<mods:namePart>García Ruiz, Ignacio</mods:namePart>
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<mods:namePart>Torres Escribano, José Luis</mods:namePart>
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<mods:dateAccessioned encoding="iso8601">2023-01-19T10:23:20Z</mods:dateAccessioned>
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<mods:dateAvailable encoding="iso8601">2023-01-19T10:23:20Z</mods:dateAvailable>
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<mods:dateIssued encoding="iso8601">2022-07</mods:dateIssued>
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<mods:identifier type="issn">0273-1177</mods:identifier>
<mods:identifier type="uri">http://hdl.handle.net/10259/7275</mods:identifier>
<mods:identifier type="doi">10.1016/j.asr.2022.07.005</mods:identifier>
<mods:abstract>Photosynthetically Active Radiation (PAR) is a fundamental parameter for developing plant productivity models. Nevertheless,&#xd;
instrumentation for measuring PAR and to record it is scarce at conventional meteorological stations. Several procedures have therefore&#xd;
been proposed for PAR estimation. In this work, 21 previously published analytical models that correlate PAR with easily available&#xd;
meteorological parameters are collected. Although longer time scales were considered in the original publications, a minute range&#xd;
was applied in this work to calibrate the PAR models. In total, more than 10 million input records were gathered from the SURFRAD&#xd;
station network from a 10-year long time series with data frequencies recorded every 1 min. The models were calibrated both globally,&#xd;
using data from all stations and locally, with data from each station. After calibration, the models were validated for minute, hourly and&#xd;
daily data, obtaining low fitting errors at the different stations in all cases, both when using the globally calibrated models and with the&#xd;
models calibrated for each location. Although the PAR results in general improved for locally calibrated models, the use of local models&#xd;
is not justified, since the global models presented offered very satisfactory PAR results for the different climatic conditions where the&#xd;
meteorological stations are located. Thus, PAR estimation model should then be selected, solely considering the meteorological variables&#xd;
available at the specific location. When applying the globally calibrated models to input data classified according to sky conditions (from&#xd;
clear to overcast), the PAR models continued to perform satisfactorily, although the error statistics of some models for overcast skies&#xd;
worsened.</mods:abstract>
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<mods:languageTerm authority="rfc3066">eng</mods:languageTerm>
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<mods:accessCondition type="useAndReproduction">Attribution-NonCommercial-NoDerivatives 4.0 Internacional</mods:accessCondition>
<mods:subject>
<mods:topic>Photosynthetically active radiation</mods:topic>
</mods:subject>
<mods:subject>
<mods:topic>Solar irradiance</mods:topic>
</mods:subject>
<mods:subject>
<mods:topic>Sky types</mods:topic>
</mods:subject>
<mods:subject>
<mods:topic>Model calibration</mods:topic>
</mods:subject>
<mods:titleInfo>
<mods:title>Validation and calibration of models to estimate photosynthetically active radiation considering different time scales and sky conditions</mods:title>
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<mods:genre>info:eu-repo/semantics/article</mods:genre>
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