Modeling photosynthetically active radiation: A review

Photosynthetically active radiation (PAR) is important in applications related to plant physiology or the carbon cycle. However, despite its importance, a global network for its measurement has not yet been established. This work consists of the revision of a series of works related to the developme...

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Autores: Noriega Gardea, Moisés Miguel Angel, Corral Martínez, Luis Francisco, Anguiano Morales, Marcelino, Trujillo Schiaffino, Gerardo, Salas Peimbert, Didia Patricia
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2021
País:México
Institución:UNIVERSIDAD NACIONAL AUTÓNOMA DE MÉXICO
Repositorio:Atmósfera
Idioma:inglés
OAI Identifier:oai:ojs.pkp.sfu.ca:article/52737
Acceso en línea:https://www.revistascca.unam.mx/atm/index.php/atm/article/view/52737
Access Level:acceso abierto
Palabra clave:photosynthetically active radiation
radiometry
estimation models
meteorological parameters
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spelling Modeling photosynthetically active radiation: A reviewNoriega Gardea, Moisés Miguel AngelCorral Martínez, Luis FranciscoAnguiano Morales, MarcelinoTrujillo Schiaffino, GerardoSalas Peimbert, Didia Patriciaphotosynthetically active radiationradiometryestimation modelsmeteorological parametersPhotosynthetically active radiation (PAR) is important in applications related to plant physiology or the carbon cycle. However, despite its importance, a global network for its measurement has not yet been established. This work consists of the revision of a series of works related to the development of empirical models for the estimation of PAR in places where it is not regularly measured, using for this purpose measurements of meteorological and radiation parameters available in weather stations. A list of the models developed, the study site, the results obtained, and the nomenclature used in each of them is made. The most common way to develop empirical estimation models is by studying spatio-temporal changes in the relationship between PAR and global solar radiation. Other estimation methods include the use of satellite-derived products such as MODIS-derived products and the use of artificial neural networks. Despite being more efficient for estimating PAR, the use of artificial neural networks is not as widespread because its use is more complex than the development of empirical models. The PAR to global solar radiation ratio reached its maximum in the summer months and the minimum in the winter months; in addition, the daily values per hour reached their maximum at sunrise and sunset, and their minimum around noon.Instituto de Ciencias de la Atmósfera y Cambio Climático, Universidad Nacional Autónoma de México2021-06-30info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdftext/htmlhttps://www.revistascca.unam.mx/atm/index.php/atm/article/view/5273710.20937/ATM.52737Atmósfera; Vol. 34 Núm. 3 (2021); 357-370Atmósfera; Vol. 34 No. 3 (2021); 357-3702395-88120187-6236reponame:Atmósferainstname:UNIVERSIDAD NACIONAL AUTÓNOMA DE MÉXICOinstacron:UNAMenghttps://www.revistascca.unam.mx/atm/index.php/atm/article/view/52737/46706https://www.revistascca.unam.mx/atm/index.php/atm/article/view/52737/46845Copyright (c) 2020 Atmósferahttp://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessoai:ojs.pkp.sfu.ca:article/527372024-08-16T16:52:41Z
dc.title.none.fl_str_mv Modeling photosynthetically active radiation: A review
title Modeling photosynthetically active radiation: A review
spellingShingle Modeling photosynthetically active radiation: A review
Noriega Gardea, Moisés Miguel Angel
photosynthetically active radiation
radiometry
estimation models
meteorological parameters
title_short Modeling photosynthetically active radiation: A review
title_full Modeling photosynthetically active radiation: A review
title_fullStr Modeling photosynthetically active radiation: A review
title_full_unstemmed Modeling photosynthetically active radiation: A review
title_sort Modeling photosynthetically active radiation: A review
dc.creator.none.fl_str_mv Noriega Gardea, Moisés Miguel Angel
Corral Martínez, Luis Francisco
Anguiano Morales, Marcelino
Trujillo Schiaffino, Gerardo
Salas Peimbert, Didia Patricia
author Noriega Gardea, Moisés Miguel Angel
author_facet Noriega Gardea, Moisés Miguel Angel
Corral Martínez, Luis Francisco
Anguiano Morales, Marcelino
Trujillo Schiaffino, Gerardo
Salas Peimbert, Didia Patricia
author_role author
author2 Corral Martínez, Luis Francisco
Anguiano Morales, Marcelino
Trujillo Schiaffino, Gerardo
Salas Peimbert, Didia Patricia
author2_role author
author
author
author
dc.subject.none.fl_str_mv photosynthetically active radiation
radiometry
estimation models
meteorological parameters
topic photosynthetically active radiation
radiometry
estimation models
meteorological parameters
description Photosynthetically active radiation (PAR) is important in applications related to plant physiology or the carbon cycle. However, despite its importance, a global network for its measurement has not yet been established. This work consists of the revision of a series of works related to the development of empirical models for the estimation of PAR in places where it is not regularly measured, using for this purpose measurements of meteorological and radiation parameters available in weather stations. A list of the models developed, the study site, the results obtained, and the nomenclature used in each of them is made. The most common way to develop empirical estimation models is by studying spatio-temporal changes in the relationship between PAR and global solar radiation. Other estimation methods include the use of satellite-derived products such as MODIS-derived products and the use of artificial neural networks. Despite being more efficient for estimating PAR, the use of artificial neural networks is not as widespread because its use is more complex than the development of empirical models. The PAR to global solar radiation ratio reached its maximum in the summer months and the minimum in the winter months; in addition, the daily values per hour reached their maximum at sunrise and sunset, and their minimum around noon.
publishDate 2021
dc.date.none.fl_str_mv 2021-06-30
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://www.revistascca.unam.mx/atm/index.php/atm/article/view/52737
10.20937/ATM.52737
url https://www.revistascca.unam.mx/atm/index.php/atm/article/view/52737
identifier_str_mv 10.20937/ATM.52737
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://www.revistascca.unam.mx/atm/index.php/atm/article/view/52737/46706
https://www.revistascca.unam.mx/atm/index.php/atm/article/view/52737/46845
dc.rights.none.fl_str_mv Copyright (c) 2020 Atmósfera
http://creativecommons.org/licenses/by-nc/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2020 Atmósfera
http://creativecommons.org/licenses/by-nc/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
text/html
dc.publisher.none.fl_str_mv Instituto de Ciencias de la Atmósfera y Cambio Climático, Universidad Nacional Autónoma de México
publisher.none.fl_str_mv Instituto de Ciencias de la Atmósfera y Cambio Climático, Universidad Nacional Autónoma de México
dc.source.none.fl_str_mv Atmósfera; Vol. 34 Núm. 3 (2021); 357-370
Atmósfera; Vol. 34 No. 3 (2021); 357-370
2395-8812
0187-6236
reponame:Atmósfera
instname:UNIVERSIDAD NACIONAL AUTÓNOMA DE MÉXICO
instacron:UNAM
instname_str UNIVERSIDAD NACIONAL AUTÓNOMA DE MÉXICO
instacron_str UNAM
institution UNAM
reponame_str Atmósfera
collection Atmósfera
repository.name.fl_str_mv
repository.mail.fl_str_mv
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