Presentation + Paper
20 August 2020 Assessment of global PAR empirical models in the Mexican Northern Plateau
Author Affiliations +
Abstract
Photosynthetically active radiation (PAR) is a vital parameter for various applications such as the study of plant physiology or greenhouse lighting. Since instruments for direct PAR measuring are very specific and have less accessibility compared to radiometric or photometric instruments, PAR is often estimated through empirical models that use meteorological parameters that describe the sky conditions as input data. Although it can be estimated through empirical models, these estimations are carried out only in a few areas of interest, for example, some areas of China and the Mediterranean basin, while in some agricultural areas of interest of North America the estimation of such radiation is scarce, being an example of this the Mexican Northern Plateau, which is a region with large agricultural production. In this work, the information obtained in different meteorological stations distributed within the Mexican Northern Plateau is used to assess several empirical models reported in the literature in order to know the behavior of PAR in this area. The performance validation of the models is done using statistical analysis of the Qp/Rs ratios at noon and the monthly mean values of Qp obtained from each of the meteorological stations. The models used for its implementation were developed in various geographic areas along the planet, and based on the results obtained they are classified according to their performance to predict PAR within the study area.
Conference Presentation
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Moisés Miguel Angel Noriega Gardea, Luis Francisco Corral Martínez, Marcelino Anguiano Morales, Gerardo Trujillo Schiaffino, and Didia Patricia Salas Peimbert "Assessment of global PAR empirical models in the Mexican Northern Plateau", Proc. SPIE 11502, Infrared Remote Sensing and Instrumentation XXVIII, 115020H (20 August 2020); https://doi.org/10.1117/12.2567306
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KEYWORDS
Atmospheric modeling

Solar radiation models

Meteorology

Climatology

Data modeling

Performance modeling

Solar radiation

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