Validation and calibration of models to estimate photosynthetically active radiation considering different time scales and sky conditions

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dc.contributor.authorBlas Corral, María Ángeles de
dc.contributor.authorGarcía-Rodríguez, Ana
dc.contributor.authorGarcía Ruiz, Ignacio
dc.contributor.authorTorres Escribano, José Luis
dc.contributor.departmentIngeniaritzaeu
dc.contributor.departmentInstitute of Smart Cities - ISCen
dc.contributor.departmentIngenieríaes_ES
dc.contributor.funderUniversidad Pública de Navarra / Nafarroako Unibertsitate Publikoaes
dc.date.accessioned2022-08-09T09:44:23Z
dc.date.available2022-08-09T09:44:23Z
dc.date.issued2022
dc.date.updated2022-08-09T09:37:56Z
dc.description.abstractPhotosynthetically Active Radiation (PAR) is a fundamental parameter for developing plant productivity models. Nevertheless, instrumentation for measuring PAR and to record it is scarce at conventional meteorological stations. Several procedures have therefore been proposed for PAR estimation. In this work, 21 previously published analytical models that correlate PAR with easily available meteorological parameters are collected. Although longer time scales were considered in the original publications, a minute range was applied in this work to calibrate the PAR models. In total, more than 10 million input records were gathered from the SURFRAD station network from a 10-year long time series with data frequencies recorded every 1 min. The models were calibrated both globally, using data from all stations and locally, with data from each station. After calibration, the models were validated for minute, hourly and daily data, obtaining low fitting errors at the different stations in all cases, both when using the globally calibrated models and with the models calibrated for each location. Although the PAR results in general improved for locally calibrated models, the use of local models is not justified, since the global models presented offered very satisfactory PAR results for the different climatic conditions where the meteorological stations are located. Thus, PAR estimation model should then be selected, solely considering the meteorological variables available at the specific location. When applying the globally calibrated models to input data classified according to sky conditions (from clear to overcast), the PAR models continued to perform satisfactorily, although the error statistics of some models for overcast skies worsened.en
dc.description.sponsorshipThe authors gratefully acknowledge the financial support provided by the Spanish Ministry of Science & Innovation under the I+D+i state program ‘‘Challenges Research Projects” (Ref. RTI2018-098900-B-I00). Open access funding provided by Universidad Pública de Navarra.en
dc.format.mimetypeapplication/pdfen
dc.identifier.citationDe-Blas-Corral, M.; García-Rodríguez, A.; García-Ruiz, I.; Torres-Escribano, J. L. (2022). Validation and calibration of models to estimate photosynthetically active radiation considering different time scales and sky conditions. Advances in Space Research. 1-24es
dc.identifier.doi10.1016/j.asr.2022.07.005
dc.identifier.issn0273-1177
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/43733
dc.language.isoengen
dc.publisherElsevieren
dc.relation.ispartofAdvances In Space Research, 2022en
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-098900-B-I00/ES/
dc.relation.publisherversionhttps://doi.org/10.1016/j.asr.2022.07.005
dc.rights© 2022 COSPAR. This is an open access article under the CC BY-NC-ND license.en
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.subjectPhotosynthetically active radiationen
dc.subjectSolar irradianceen
dc.subjectSky typesen
dc.subjectModel calibrationen
dc.titleValidation and calibration of models to estimate photosynthetically active radiation considering different time scales and sky conditionsen
dc.typeinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dspace.entity.typePublication
relation.isAuthorOfPublicationd61ae2c2-3f9c-4c9f-b410-753d15a25341
relation.isAuthorOfPublicationdcdadcc0-60de-44b9-8af5-c2c523c90d95
relation.isAuthorOfPublication0c2c3245-d515-48d1-8f44-1cdd61fb4bcc
relation.isAuthorOfPublication.latestForDiscoveryd61ae2c2-3f9c-4c9f-b410-753d15a25341

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