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<dc:title>Validation and calibration of models to estimate photosynthetically active radiation considering different time scales and sky conditions</dc:title>
<dc:creator>Blas Corral, Marian de</dc:creator>
<dc:creator>García Rodríguez, Ana</dc:creator>
<dc:creator>García Ruiz, Ignacio</dc:creator>
<dc:creator>Torres Escribano, José Luis</dc:creator>
<dc:subject>Photosynthetically active radiation</dc:subject>
<dc:subject>Solar irradiance</dc:subject>
<dc:subject>Sky types</dc:subject>
<dc:subject>Model calibration</dc:subject>
<dc:subject>Electrotecnia</dc:subject>
<dc:subject>Electrical engineering</dc:subject>
<dc:description>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.</dc:description>
<dc:description>The authors gratefully acknowledge the financial support provided by the Spanish Ministry of Science &amp; Innovation under the I + D+i state program “Challenges Research Projects” (Ref. RTI2018-098900-B-I00).</dc:description>
<dc:date>2023-01-19T10:23:20Z</dc:date>
<dc:date>2023-01-19T10:23:20Z</dc:date>
<dc:date>2022-07</dc:date>
<dc:type>info:eu-repo/semantics/article</dc:type>
<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
<dc:identifier>0273-1177</dc:identifier>
<dc:identifier>http://hdl.handle.net/10259/7275</dc:identifier>
<dc:identifier>10.1016/j.asr.2022.07.005</dc:identifier>
<dc:language>eng</dc:language>
<dc:relation>Advances in Space Research. 2022, V. 70, n. 7, p. 1737-1760</dc:relation>
<dc:relation>https://doi.org/10.1016/j.asr.2022.07.005</dc:relation>
<dc:relation>info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-098900-B-I00/ES/ANALISIS ESPECTRAL DE LA RADIACION SOLAR: APLICACIONES CLIMATICAS, ENERGETICAS Y BIOLOGICAS/</dc:relation>
<dc:rights>Attribution-NonCommercial-NoDerivatives 4.0 Internacional</dc:rights>
<dc:rights>http://creativecommons.org/licenses/by-nc-nd/4.0/</dc:rights>
<dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
<dc:format>application/pdf</dc:format>
<dc:publisher>Elsevier</dc:publisher>
<europeana:object>https://riubu.ubu.es/bitstream/10259/7275/4/Blas-asr_2022.pdf.jpg</europeana:object>
<europeana:provider>Hispana</europeana:provider>
<europeana:type>TEXT</europeana:type>
<europeana:rights>http://creativecommons.org/licenses/by-nc-nd/4.0/</europeana:rights>
<europeana:dataProvider>RIUBU. Repositorio Institucional de la Universidad de Burgos</europeana:dataProvider>
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