Analysis of Spatial and Temporal Variability of the PAR/GHI Ratio and PAR Modeling Based on Two Satellite Estimates
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|Title:||Analysis of Spatial and Temporal Variability of the PAR/GHI Ratio and PAR Modeling Based on Two Satellite Estimates
|Author:||Ferrera Cobos, Francisco
Vindel, José M.
Valenzuela, Rita X.
Souto González, José Antonio
|Affiliation:||Universidade de Santiago de Compostela. Departamento de Enxeñaría Química
Universidade de Santiago de Compostela. Instituto Interdisciplinar de Tecnoloxías Ambientais (CRETUS)
|Subject:||Photosynthetically active radiation | Spatial and temporal variability | Satellite-derived radiation data | Climate Monitoring Satellite Facility (CM-SAF) | Moderate-Resolution Imaging Spectroradiometer (MODIS) | Photosynthetically active radiation modeling ||
|Date of Issue:||2020
|Citation:||Ferrera-Cobos, F.; Vindel, J.M.; Valenzuela, R.X.; González, J.A. Analysis of Spatial and Temporal Variability of the PAR/GHI Ratio and PAR Modeling Based on Two Satellite Estimates. Remote Sens. 2020, 12, 1262.
|Abstract:||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%)|
|Rights:||© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/)
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