Models for estimating daily photosynthetically active radiation in oceanic and mediterranean climates and their improvement by site adaptation techniques

Ferrera-Cobos, Francisco; Vindel, J.M.; Valenzuela, Rita X.; González, José Antonio

doi:10.1016/j.asr.2020.01.018

Cited by 19 publications

(30 citation statements)

References 32 publications

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“…Moreover, a site-adaptation technique (using both surface and satellite data) was used to achieve better results at the oceanic stations. Additionally, the models developed in [39] with Spain datasets were compared at several stations in Spain with other models from the bibliography, developed for other locations: the results from Spain datasets model were clearly better, as expected.…”

Section: Kato Bandmentioning

confidence: 52%

“…Thus, the use of satellite data to develop PAR modeling is a common approach. Many works [34][35][36][37][38][39] have previously addressed PAR modeling in different regions (from Costa Rica, China, Thailand, Arabian Sea, Spain, and also Spain, respectively) from satellite estimates. [38,39] used a clustering analysis from the datasets provided by the Climate Monitoring Satellite Application Facility (CM-SAF).…”

Section: Kato Bandmentioning

confidence: 99%

“…Many works [34][35][36][37][38][39] have previously addressed PAR modeling in different regions (from Costa Rica, China, Thailand, Arabian Sea, Spain, and also Spain, respectively) from satellite estimates. [38,39] used a clustering analysis from the datasets provided by the Climate Monitoring Satellite Application Facility (CM-SAF). While in [38] only GHI was used as input, in [39] the PAR results were improved adding more variables such as global extraterrestrial irradiance, relative humidity and temperature.…”

Section: Kato Bandmentioning

confidence: 99%

“…[38,39] used a clustering analysis from the datasets provided by the Climate Monitoring Satellite Application Facility (CM-SAF). While in [38] only GHI was used as input, in [39] the PAR results were improved adding more variables such as global extraterrestrial irradiance, relative humidity and temperature. In this spatial modeling, linear regression provided very similar results than more complex techniques, such as neural networks.…”

Section: Kato Bandmentioning

confidence: 99%

“…With this assumption, GHI surface measurements can be used to obtain PAR, providing more accurate results. Following this approach, in [38,39] only CM-SAF data were applied, while in this work an alternative satellite dataset (MODIS) was applied, in order to compare both results.…”

Section: Kato Bandmentioning

confidence: 99%

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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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Section: Kato Bandmentioning

confidence: 52%