Global Solar Radiation Models in Minas Gerais, Southeastern Brazil
Accurate and complete global solar radiation (Hs) data at a specific region are crucial for regional climate assessment, crop growth modeling, and all operations that use solar energy. However, in the Minas Gerais state, Southeastern Brazil (SEB), the number of weather stations that measure global s...
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| Format: | Article |
| Language: | English |
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Wiley
2019-01-01
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| Series: | Advances in Meteorology |
| Online Access: | http://dx.doi.org/10.1155/2019/9515430 |
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| author | Ana Flávia Martins Monteiro Fabrina Bolzan Martins |
| author_facet | Ana Flávia Martins Monteiro Fabrina Bolzan Martins |
| author_sort | Ana Flávia Martins Monteiro |
| collection | DOAJ |
| description | Accurate and complete global solar radiation (Hs) data at a specific region are crucial for regional climate assessment, crop growth modeling, and all operations that use solar energy. However, in the Minas Gerais state, Southeastern Brazil (SEB), the number of weather stations that measure global solar radiation is scarce, and when it is available, it presents gaps in the time series. An attractive alternative to solve the data gap problem is to estimate global solar radiation using empirical models. In this study, thirteen models based on maximum and minimum air temperatures, precipitation, sunshine duration, and extraterrestrial solar radiation were compared in the daily estimation of Hs. Data from 10 weather stations, from 1999 to 2017, located in Minas Gerais were used. Also, cluster analysis was used to group the localities (weather stations) with similar patterns of model performance, climatic classification (Köppen–Geiger and Thornthwaite), and seasonal data variability, considering minimum and maximum air temperatures, precipitation, sunshine duration, and global solar radiation. Although it is apparently simple, studies on this subject are scarce and the few existing ones in Minas Gerais have flaws, which justifies this study. The models were evaluated by root mean square error (RMSE), mean absolute percentage error (MAPE), mean bias error (BIAS), Willmott’s index of agreement (d), and performance index (c-index). Models based on sunshine duration, such as those proposed by Ertekin and Yaldiz and by Newland, showed the best performance (average c-index = 0.71). Models based on temperature and precipitation showed the worst results (average c-index = 0.41). Cluster analysis showed that there is a similar pattern between the performance of the models, climatic classification, and seasonal variability of data among the localities of Minas Gerais. In general, models that presented extremely poor performance were formed with weather stations located in the dry zone, but with different climate classification, and models that presented very good (and good) performance were composed by weather stations located in the humid zone (dry subhumid) with the same climate classification and similar seasonal variability. Furthermore, the models based on temperature have a tendency to overestimate radiation values below 10 MJ·m−2 day−1 and to underestimate values higher than 25 MJ·m−2 day−1. This point is a limitation of the model for estimating global solar radiation below and above these levels, showing the influence of atmospheric systems and atmospheric attenuation mechanisms of global solar radiation. |
| format | Article |
| id | doaj-art-e2b2a9143f6244bd8372861cdbe54720 |
| institution | Kabale University |
| issn | 1687-9309 1687-9317 |
| language | English |
| publishDate | 2019-01-01 |
| publisher | Wiley |
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| series | Advances in Meteorology |
| spelling | doaj-art-e2b2a9143f6244bd8372861cdbe547202025-02-03T01:11:39ZengWileyAdvances in Meteorology1687-93091687-93172019-01-01201910.1155/2019/95154309515430Global Solar Radiation Models in Minas Gerais, Southeastern BrazilAna Flávia Martins Monteiro0Fabrina Bolzan Martins1Natural Resources Institute, Federal University of Itajubá, Itajubá, Minas Gerais, BrazilNatural Resources Institute, Federal University of Itajubá, Itajubá, Minas Gerais, BrazilAccurate and complete global solar radiation (Hs) data at a specific region are crucial for regional climate assessment, crop growth modeling, and all operations that use solar energy. However, in the Minas Gerais state, Southeastern Brazil (SEB), the number of weather stations that measure global solar radiation is scarce, and when it is available, it presents gaps in the time series. An attractive alternative to solve the data gap problem is to estimate global solar radiation using empirical models. In this study, thirteen models based on maximum and minimum air temperatures, precipitation, sunshine duration, and extraterrestrial solar radiation were compared in the daily estimation of Hs. Data from 10 weather stations, from 1999 to 2017, located in Minas Gerais were used. Also, cluster analysis was used to group the localities (weather stations) with similar patterns of model performance, climatic classification (Köppen–Geiger and Thornthwaite), and seasonal data variability, considering minimum and maximum air temperatures, precipitation, sunshine duration, and global solar radiation. Although it is apparently simple, studies on this subject are scarce and the few existing ones in Minas Gerais have flaws, which justifies this study. The models were evaluated by root mean square error (RMSE), mean absolute percentage error (MAPE), mean bias error (BIAS), Willmott’s index of agreement (d), and performance index (c-index). Models based on sunshine duration, such as those proposed by Ertekin and Yaldiz and by Newland, showed the best performance (average c-index = 0.71). Models based on temperature and precipitation showed the worst results (average c-index = 0.41). Cluster analysis showed that there is a similar pattern between the performance of the models, climatic classification, and seasonal variability of data among the localities of Minas Gerais. In general, models that presented extremely poor performance were formed with weather stations located in the dry zone, but with different climate classification, and models that presented very good (and good) performance were composed by weather stations located in the humid zone (dry subhumid) with the same climate classification and similar seasonal variability. Furthermore, the models based on temperature have a tendency to overestimate radiation values below 10 MJ·m−2 day−1 and to underestimate values higher than 25 MJ·m−2 day−1. This point is a limitation of the model for estimating global solar radiation below and above these levels, showing the influence of atmospheric systems and atmospheric attenuation mechanisms of global solar radiation.http://dx.doi.org/10.1155/2019/9515430 |
| spellingShingle | Ana Flávia Martins Monteiro Fabrina Bolzan Martins Global Solar Radiation Models in Minas Gerais, Southeastern Brazil Advances in Meteorology |
| title | Global Solar Radiation Models in Minas Gerais, Southeastern Brazil |
| title_full | Global Solar Radiation Models in Minas Gerais, Southeastern Brazil |
| title_fullStr | Global Solar Radiation Models in Minas Gerais, Southeastern Brazil |
| title_full_unstemmed | Global Solar Radiation Models in Minas Gerais, Southeastern Brazil |
| title_short | Global Solar Radiation Models in Minas Gerais, Southeastern Brazil |
| title_sort | global solar radiation models in minas gerais southeastern brazil |
| url | http://dx.doi.org/10.1155/2019/9515430 |
| work_keys_str_mv | AT anaflaviamartinsmonteiro globalsolarradiationmodelsinminasgeraissoutheasternbrazil AT fabrinabolzanmartins globalsolarradiationmodelsinminasgeraissoutheasternbrazil |