Modeling the ratio of photosynthetically active radiation to broadband global solar radiation using ground and satellite-based data in the tropics

Janjai, Serm; Wattan, R.; Sripradit, A.

doi:10.1016/j.asr.2015.09.020

Cited by 15 publications

(11 citation statements)

References 23 publications

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“…Alados et al, 2002;Alados-Arboledas et al, 2000) and from satellite data (Hao et al, 2019;Harmel & Chami, 2016;Vindel et al, 2018) stand out. A very common practice is to estimate the PARGlobal as a constant fraction of the Total solar irradiance (Britton & Dodd, 1976;Janjai et al, 2015;Yu et al, 2015;Zhang et al, 2000), with values around 0.41 commonly assumed for the PAR-to-Total ratio (Jacovides et al, 2004). Although in a much more limited number, several models have been specifically…”

mentioning

confidence: 99%

Analysis of cloud effects on long-term global and diffuse photosynthetically active radiation at a Mediterranean site

Lozano

Sánchez-Hernández

Guerrero-Rascado

et al. 2022

Atmospheric Research

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mentioning

confidence: 99%

Analysis of cloud effects on long-term global and diffuse photosynthetically active radiation at a Mediterranean site

Lozano

Sánchez-Hernández

Guerrero-Rascado

et al. 2022

Atmospheric Research

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“…Linear models were also developed in [27], from data collected in Athens, using the ratio between the global PAR and extraterrestrial global PAR and the ratio between diffuse and global PAR. A multilinear model using aerosol optical depth, solar zenith angle cosine, total ozone column, total precipitable water, and cloud index to estimate the PAR broadband radiation ratio was developed over Thailand in [28]. In [29], another multilinear model was proposed for different places in Japan from the clearness index, water vapor, and optical air mass.…”

Section: Kato Bandmentioning

confidence: 99%

Analysis of Spatial and Temporal Variability of the PAR/GHI Ratio and PAR Modeling Based on Two Satellite Estimates

et al. 2020

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The main objectives of this work are to address the analysis of the spatial and temporal variability of the ratio between photosynthetically active radiation (PAR) and global horizontal irradiance (GHI), as well as to develop PAR models. The analysis was carried out using data from three stations located in mainland Spain covering three climates: oceanic, standard Mediterranean, and continental Mediterranean. The results of this analysis showed a clear dependence between the PAR/GHI ratio and the location; the oceanic climate showed higher values of PAR/GHI compared with Mediterranean climates. Further, the temporal variability of PAR/GHI was conditioned by the variability of clearness index, so it was also higher in oceanic than in Mediterranean climates. On the other hand, Climate Monitoring Satellite Facility (CM-SAF) and Moderate-Resolution Imaging Spectroradiometer (MODIS) data were used to estimate PAR as a function of GHI over the whole territory. The validation with ground measurements showed better performance of the MODIS-estimates-derived model for the oceanic climate (root-mean-square error (RMSE) around 5%), while the model obtained from CM-SAF fitted better for Mediterranean climates (RMSEs around 2%).

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“…Another approach is using Kato's bands [29] to obtain PAR estimates [30,31]. On the other hand, data collected on the Earth's surface, such as global horizontal irradiance (GHI), air temperature (T), relative humidity (RH), sky clearness, skylight brightness parameter, and clearness index (k t ), can also develop PAR models [32][33][34][35][36][37][38]. It is also possible to train artificial neural networks (ANNs) to produce PAR estimates [39][40][41].…”

Section: Introductionmentioning

confidence: 99%

A New Index Assessing the Viability of PAR Application Projects Used to Validate PAR Models

2021

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Photosynthetically active radiation (PAR) is a useful variable to estimate the growth of biomass or microalgae. However, it is not always feasible to access PAR measurements; in this work, two sets of nine hourly PAR models were developed. These models were estimated for mainland Spain from satellite data, using multilinear regressions and artificial neural networks. The variables utilized were combinations of global horizontal irradiance, clearness index, solar zenith angle cosine, relative humidity, and air temperature. The study territory was divided into regions with similar features regarding PAR through clustering of the PAR clearness index (kPAR). This methodology allowed PAR modeling for the two main climatic regions in mainland Spain (Oceanic and Mediterranean). MODIS 3 h data were employed to train the models, and PAR data registered in seven stations across Spain were used for validation. Usual validation indices assess the extent to which the models reproduce the observed data. However, none of those indices considers the exceedance probabilities, which allow the assessment of the viability of projects based on the data to be modeled. In this work, a new validation index based on these probabilities is presented. Hence, its use, along with the other indices, provides a double and thus more complete validation.

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Modeling the ratio of photosynthetically active radiation to broadband global solar radiation using ground and satellite-based data in the tropics

Cited by 15 publications

References 23 publications

Analysis of cloud effects on long-term global and diffuse photosynthetically active radiation at a Mediterranean site

Analysis of cloud effects on long-term global and diffuse photosynthetically active radiation at a Mediterranean site

Analysis of Spatial and Temporal Variability of the PAR/GHI Ratio and PAR Modeling Based on Two Satellite Estimates

A New Index Assessing the Viability of PAR Application Projects Used to Validate PAR Models

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