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<field name="value">Blas Corral, Marian de</field>
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<field name="value">García Rodríguez, Ana</field>
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<field name="orcid_id">0000-0003-3233-0525</field>
<field name="value">García Ruiz, Ignacio</field>
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<field name="value">Torres Escribano, José Luis</field>
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<field name="value">2023-01-19T10:23:20Z</field>
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<field name="value">2023-01-19T10:23:20Z</field>
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<field name="value">2022-07</field>
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<field name="value">0273-1177</field>
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<field name="value">10.1016/j.asr.2022.07.005</field>
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<field name="value">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.</field>
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<field name="value">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).</field>
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<field name="value">eng</field>
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<field name="value">Elsevier</field>
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<field name="value">Advances in Space Research. 2022, V. 70, n. 7, p. 1737-1760</field>
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<field name="value">https://doi.org/10.1016/j.asr.2022.07.005</field>
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<field name="value">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/</field>
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<field name="value">Photosynthetically active radiation</field>
<field name="value">Solar irradiance</field>
<field name="value">Sky types</field>
<field name="value">Model calibration</field>
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<field name="value">Validation and calibration of models to estimate photosynthetically active radiation considering different time scales and sky conditions</field>
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<field name="value">70</field>
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