Aerosol radiative effects in photosynthetically active radiation and total irradiance at a Mediterranean site from an 11-year database

Lozano, Ismael L.; Sánchez-Hernández, Guadalupe; Guerrero-Rascado, Juan Luís; Alados, I.; Foyo-Moreno, I.

doi:10.1016/j.atmosres.2021.105538

Cited by 11 publications

(12 citation statements)

References 94 publications

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“…Cazorla et al, 2017;Fernández et al, 2019). In fact, Lozano et al (2021) found relatively high values of maximum AOD at 500 nm (0.66) for this database in these months.…”

Section: Discussionmentioning

confidence: 54%

“…Radiometers involved in this study have been intercompared with reference instruments several times along the 11-year period analyzed. A detailed description of this issue can be found in Lozano et al (2021). Particularly, a variation of only 0.4 mV/Wm -2 in the calibration factors applied for the entire period analyzed in this study (2008)(2009)(2010)(2011)(2012)(2013)(2014)(2015)(2016)(2017)(2018) has been detected for the SKP 215 PAR Quantum Sensor.…”

Section: Radiation Measurementsmentioning

confidence: 79%

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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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“…Cazorla et al, 2017;Fernández et al, 2019). In fact, Lozano et al (2021) found relatively high values of maximum AOD at 500 nm (0.66) for this database in these months.…”

Section: Discussionmentioning

confidence: 54%

Section: Radiation Measurementsmentioning

confidence: 79%

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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“…The diffuse measurements in both spectral ranges were corrected following the Batlles et al (1995) method, and a conversion factor of 4.57 μmol m −2 s −1 /Wm −2 (McCree, 1972) was used to convert to energy units the PAR measurements. Further details for the instrumentation can be found in Foyo-Moreno et al (2018) and Lozano et al (2022Lozano et al ( , 2021.…”

Section: Experimental Setup and Data Control Qualitymentioning

confidence: 99%

Improving the Estimation of the Diffuse Component of Photosynthetically Active Radiation (PAR)

Lozano,

Alados,

Sánchez‐Hernández

et al. 2023

JGR Atmospheres

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Most weather forecasting models are not able to accurately reproduce the great variability existing in the measurements of the diffuse component of photosynthetically active radiation (PAR; 400–700 nm) under all sky conditions. Based on the well‐known relationship between the diffuse fraction (k) and the clearness index (kt), this study addresses improvements in estimations by proposing adaptations of previous models, which were previously applied only to the total solar irradiance (TSI; 280–3,000 nm). In order to reproduce this variability, additional parameters were introduced. The models were tested employing a multisite database gathered at the Mediterranean basin. Since Artificial Neural Network (ANN) models are not limited to fixed coefficients to predict the diffuse fraction of PAR (kPAR), these types of models are more accurate than empirical ones, reaching determination coefficients (r2) up to 0.998. However, the simpler linear model proposed by Foyo‐Moreno et al. (2018), https://doi.org/10.1016/j.atmosres.2017.12.012 shows a similar performance to the ANN models, directly predicting the diffuse component of PAR (PARDiffuse) from TSIDiffuse, with a r2 up to 0.997. Results obtained here also determine that the most important variables for estimating PARDiffuse are kt or kt,PAR, and the apparent solar time (AST). Therefore, PARDiffuse can be modeled using TSI measured in most radiometric stations, reaching r2 up to 0.858 for empirical models and 0.970 for ANN models. This modified approach will allow for the very accurate construction of long‐term data series of PARDiffuse in regions where continuous measurements of PAR are not available.

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“…Many other works observed that I and I are mainly affected by solar zenith angle [24]. Besides the variation in solar zenith angle, cloud cover is an important factor in UV levels [25]; however, under clear skies, the most important factor in the attenuation of solar radiation are aerosols [26]. The model is therefore often programmed to perform a preliminary classification of the atmospheric conditions, based on sky types, using the clearness index as a classifier with different time intervals [2,3,27].…”

Section: Introductionmentioning

confidence: 99%

Modeling Horizontal Ultraviolet Irradiance for All Sky Conditions by Using Artificial Neural Networks and Regression Models

et al. 2023

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In the present study, different models constructed with meteorological variables are proposed for the determination of horizontal ultraviolet irradiance (IUV), on the basis of data collected at Burgos (Spain) during an experimental campaign between March 2020 and May 2022. The aim is to explore the effectiveness of a range of variables for modelling horizontal ultraviolet irradiance through a comparison of supervised artificial neural network (ANN) and regression model results. A preliminary feature selection process using the Pearson correlation coefficient was sufficient to determine the variables for use in the models. The following variables and their influence on horizontal ultraviolet irradiance were analyzed: horizontal global irradiance (IGH), clearness index (Kt), solar altitude angle (α), horizontal beam irradiance (IBH), diffuse fraction (D), temperature (T), sky clearness (ε), cloud cover (Cc), horizontal diffuse irradiance (IDH), and sky brightness (Δ). The ANN models yielded results of greater accuracy than the regression models.

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Aerosol radiative effects in photosynthetically active radiation and total irradiance at a Mediterranean site from an 11-year database

Cited by 11 publications

References 94 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

Improving the Estimation of the Diffuse Component of Photosynthetically Active Radiation (PAR)

Modeling Horizontal Ultraviolet Irradiance for All Sky Conditions by Using Artificial Neural Networks and Regression Models

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