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<title>Validation and calibration of models to estimate photosynthetically active radiation considering different time scales and sky conditions</title>
<creator>Blas Corral, Marian de</creator>
<creator>García Rodríguez, Ana</creator>
<creator>García Ruiz, Ignacio</creator>
<creator>Torres Escribano, José Luis</creator>
<subject>Photosynthetically active radiation</subject>
<subject>Solar irradiance</subject>
<subject>Sky types</subject>
<subject>Model calibration</subject>
<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.</description>
<date>2023-01-19</date>
<date>2023-01-19</date>
<date>2022-07</date>
<type>info:eu-repo/semantics/article</type>
<identifier>0273-1177</identifier>
<identifier>http://hdl.handle.net/10259/7275</identifier>
<identifier>10.1016/j.asr.2022.07.005</identifier>
<language>eng</language>
<relation>Advances in Space Research. 2022, V. 70, n. 7, p. 1737-1760</relation>
<relation>https://doi.org/10.1016/j.asr.2022.07.005</relation>
<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/</relation>
<rights>http://creativecommons.org/licenses/by-nc-nd/4.0/</rights>
<rights>info:eu-repo/semantics/openAccess</rights>
<rights>Attribution-NonCommercial-NoDerivatives 4.0 Internacional</rights>
<publisher>Elsevier</publisher>
</thesis></metadata></record></GetRecord></OAI-PMH>