Parametrização das equações de Hargreaves &amp; Samani e Angströn-Prescott para estimativa da radiação solar na região de Telêmaco Borba, estado do Paraná

Jerszurki, Daniela; Souza, Jorge Luiz Moretti de

doi:10.1590/s0103-84782013005000004

Cited by 11 publications

(13 citation statements)

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“…The values of the k r coefficient fitted in the present study were higher than those found by Jerszurki and Souza [8], who observed variation between 0.11 and 0.12 in the state of Paraná, Brazil, and close to interval observed by Silva et al [3], which obtained k r between 0.166 and 0.186, with the average of 0.176 (± 0.008) in the northwestern (NW) region of Minas Gerais, Brazil, and those found by Lyra et al [15] for Alagoas, Brazil, which ranged from 0.168 to 0.231. Hargreaves [17] recommended two values for k r , 0.16 for regions considered interior and 0.19 for coastal regions.…”

Section: Discussioncontrasting

confidence: 85%

“…The global solar irradiance (I g ) expresses the incident power (Watts = J/s) per surface unit (m 2 ) at various wavelengths, which is measured or recorded by instruments, for example, pyranometers and actinographs, the former being more appropriate [3,7]. Despite the importance of observations of this meteorological element, in many countries, as in Brazil, there are few weather stations that measure I g [8]. In stations that perform irradiance measurements, there is lack of long continuous series of quality, which compromises the determination of the global solar irradiation-H g (integral of the solar irradiance in a given scale of time, hour, day, month or year) in a given place and period.…”

Section: Introductionmentioning

confidence: 99%

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Assessment of monthly global solar irradiation estimates using air temperature in different climates of the state of Rio de Janeiro, Southeastern Brazil

et al. 2019

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The number of weather stations that measure solar global irradiance (I g ) is scarce, and when it is available, it does not present long-time series, without gaps and high quality. When I g is unavailable, it is possible to estimate its integral over time-solar global irradiation (H g )-using empirical methods. However, for a better performance these methods need to be fitted to the local climatic conditions. The aim of this study was to assess the Hargreaves-Samani (HS) and Bristow-Campbell (BC) methods to estimate monthly average daily H g in the state of Rio de Janeiro, Southeastern Brazil, and to propose a simple approach to determine the empirical coefficients in function of the climate. The methods are based on maximum and minimum air temperature and on extraterrestrial solar irradiation. Series of air temperature extremes and H g from 15 automatic weather stations between 2000 until 2013 were used. The methods were evaluated by the statistical indexes: determination coefficient (r 2 ) of the linear regression between observed and estimated monthly H g , root mean square error (RMSE), Willmott's index (d) and performance index (c). The methods (BC-r 2 > 0.60, d > 0.85 and RMSE < 2.99 MJ m −2 d −1 and HS-r 2 > 0.55, d > 0.75 and RMSE < 3.85 MJ m −2 d −1 ) had satisfactory performance in the estimation of monthly H g for the state of Rio de Janeiro, when their coefficients were fitted to local climatic conditions. The BC presented performance classified as "optimal" (c > 0.85) in approximately 80% of the stations analyzed, while for Hargreaves-Samani, only 55% of the stations were classified as "optimal. " The highest HS coefficients (k r ) occurred in Semiarid (0.246 ± 0,023) and Dry Sub-humid (0.181 ± 0.011) climates and were associated with coastal regions (< 20 km), while the stations in Humid (0.146 ± 0.008), Sub-humid (0.1524 ± 0.003) and Dry Sub-humid (0.162 ± 0.011) climates located in interior regions presented the lowest k r . Thus, it is possible to determine the k r coefficient based only on the climatic classification of the site and distance of the coastal environment. In general, the highest atmospheric transmittance (β 0 -BC method) was observed in Semiarid and Dry Sub-humid climate regions. β 1 and β 2 coefficients did not present a distribution pattern with the local climatology and with the proximity of large water bodies. The methods presented a better performance in Dry Sub-humid and Semiarid climates, due to the lower variability of cloudiness and greater thermal amplitude.

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Section: Discussioncontrasting

confidence: 85%

Section: Introductionmentioning

confidence: 99%

Assessment of monthly global solar irradiation estimates using air temperature in different climates of the state of Rio de Janeiro, Southeastern Brazil

et al. 2019

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“…These results differ from those obtained by Borges et al (2010), that when assessing different models for estimating the R s in the municipality of Cruz das Almas (BA), verified superior performance of WS and RT models in relation to the HS, based on this parameter. Studies that assess the models adjusting We verified low values of the rate d in both models evaluated, in the order of 0.4 Borges et al (2010) and Jerszurki and Souza (2013) obtained d values in magnitude greater than this study in the evaluation of these models for estimating the R s in the municipalities of Cruz das Almas (BA) and Telêmaco Borba (PR). RMSE values indicated that all models underestimated the R s values.…”

Section: Resultssupporting

confidence: 51%

“…Solar radiation is the main source of energy for many physical, chemical and biological processes occurring in the Earth system, and provide energy for atmospheric movements and, thus, determine weather and climate spatiotemporal patterns (CASTELLVÍ, 2008;JERSZURKI;. It is directly responsible for air and soil heating (sensible heat flux), photosynthesis and evapotranspiration (latent heat flux), all direct impact on human activities (CARVALHO et al, 2011) and, currently, has been used as alternate energy source.…”

Section: Introductionmentioning

confidence: 99%

“…Knowledge of R s is also essential in many reference evapotranspiration (ET) estimate models (Penman-Monteith e Priestley-Taylor) (ALLEN, 1996;FIETZ et al, 2009), important variable in agrometeorological applications. R s varies according to the latitude, the apparent movement of the sun over the day and year and atmospheric conditions (cloudiness, concentration of aerosols, gases and pollutants) - (JERSZURKI;. Therefore, it is indispensable understand its spatial and temporal variation (SILVA et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

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Models to estimate incident solar radiation on Seropédica, Rio de Janeiro

Góis¹,

Souza²,

Júnior³

et al. 2016

Biosci. J.

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Incident solar radiation (R s ) is usually used as an input variable in growth simulation models and yield of agricultural crops, in the design of alternative energy systems, buildings desing, weather, irrigation projects and food preservation, among others. However, in Brazil, there are few studies that evaluated the performance of different models in estimating R s . Therefore, the aim of the study is to evaluate the Hargreaves-Samani, Thornton-Running and Weiss models to estimate R s in the municipality of Seropédica, Rio de Janeiro. We used hourly measurements of solar radiation (R s , KJ m -2 ) and maximum (t x ,°C) and minimum (t n ,°C) air temperature obtained from Ecologia Agrícola station (EA), between January/2008 to December/2013. Normality (Shapiro-Wilks and Jarque-Bera) and homogeneity of variance (Bartlett) tests were applied to the data set. The performance of the models was evaluated based on different statistical parameters (r 2 RMSE, d, ρ s and Student's t-test). The results indicated the rejection of the variance normality hypothesis of the standardized residuals by Shapiro-Wilks and Jarque-Bera tests. Bartlett's test indicated the presence of heterogeneity of model estimates. Hargreaves-Samani and Thornton-Running models obtained high values forr 2 and low values for d. Hargreaves-Samani (coastal) model excelled in relation to other, being more suitable for estimating the R s in the municipality of Seropédica, Rio de Janeiro.

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