Calibration of the Ångström–Prescott coefficients (a, b) under different time scales and their impacts in estimating global solar radiation in the Yellow River basin

Li, Xiaoying; Mei, Xurong; Li, Yuzhong; Zhang, Yanqing; Qing-suo, Wang; Jensen, Julio; Porter, John R.

doi:10.1016/j.agrformet.2008.10.027

Cited by 80 publications

(72 citation statements)

References 28 publications

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“…Previous study also found that various radiation products including reanalysis data (MERRA, ECMWF, NCEP) and satellite-derived products (GLASS, ISCCP) showed low correlation and large product errors in south China, resulting in large uncertainties in the GPP simulations driven by those data . The R 2 values of R se in this study were higher than that reported by Liu et al (2009b) based on sunshine duration with the R 2 varied between 0.61 and 0.89 with an average of 0.82 among 31 stations in China. The non-systematic estimation error expressed in terms of RMSE at Qianyanzhou site was 2.18 MJ m À2 day À2 (relative RMSE 20%), within the range reported by Supit and Van Kappel (1998), i.e.…”

Section: Discussioncontrasting

confidence: 51%

“…The Å ngströ m-Prescott equation, which calculates R s as a function of the extraterrestrial radiation on horizontal surface (R 0 ) has been widely used (Bakirci, 2009;Besharat et al, 2013;Liu et al, 2009b). Meanwhile, many alternative models have been proposed for calculating R s based on sunshine duration measurements (Besharat et al, 2013).…”

Section: Estimation Of Solar Radiation Using Sunshine Durationmentioning

confidence: 99%

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Impact of estimated solar radiation on gross primary productivity simulation in subtropical plantation in southeast China

et al. 2015

Solar Energy

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Sunshine duration is widely used to estimate solar radiation, but this estimated inherently contains some uncertainties, limiting its applications. This study investigated the impacts of the estimated solar radiation on simulated gross primary productivity (GPP), which were obtained using ecosystem models -light use efficiency model (LUE) and process-based model -Boreal Ecosystem Productivity Simulator (BEPS) at an evergreen coniferous forest ecosystem in southeast China. The models for solar radiation and diffuse radiation estimation were calibrated through observation data from nearby meteorological stations. The results showed that the established model could be successfully used to estimate solar radiation with high coefficient of determination (0.92) and low root mean square error (2.18 MJ m À2 day À1 ), but the solar radiation was overestimated when the clearness index was less than 0.15 and underestimated when it was within the range of 0.2-0.35 or greater than 0.6. The estimated solar radiation has significant influence on the diffuse radiation estimation and GPP simulation comparing with using observations. The two ecosystem models reacted differently to the errors of estimated solar radiation. For the LUE model, the estimated solar radiation led to the underestimated GPP in growing season (May-October), and overestimated GPP during non-growing season (November-April) with the bias ranged from À11% to 10% depending on the month of a year. For the BEPS model, estimated solar radiation resulted in overestimated GPP in most months with the bias ranged from À6% to 20%. The difference between the simulated GPP based on these two sources of solar radiation could be counteracted to some extent at the annual scale, especially for LUE model.

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Section: Discussioncontrasting

confidence: 51%

Section: Estimation Of Solar Radiation Using Sunshine Durationmentioning

confidence: 99%

Impact of estimated solar radiation on gross primary productivity simulation in subtropical plantation in southeast China

et al. 2015

Solar Energy

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“…Dornelas et al (2006) e Carvalho et al (2011 encontraram, analisando a distribuição da mesma correlação apenas para superfícies horizontais, valores de R² acima de 0,81 e 0,82, em diferentes agrupamentos de dados, para Brasília (DF) e Seropédica (RJ), respectivamente. Liu et al (2009) verificaram, para partições diárias em 31 cidades chinesas, em agrupamentos anuais, valores de R² variando entre 0,61 e 0,89.…”

Section: Resultsunclassified

“…Neste contexto, a radiação solar pode ser considerada a fonte de energia primária para o ambiente, pois, influencia os fenômenos meteorológicos, processos físicos e bioquímicos que ocorrem no planeta. Existe uma demanda crescente por informações locais da radiação solar para aplicações em simulações de crescimento de plantas (planejamento agropecuário), sistemas alternativos de produção de energia, conservação de alimentos, construções e ambiência e modelos de transferência solovegetação-atmosfera, entre outros (Almorox et al 2005;Liu et al 2009;Carvalho et al 2011).…”

Section: Introductionunclassified

Estimativas da radiação global incidente em superfícies inclinadas com base na razão de insolação

Souza

Escobedo

2013

Agraria

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“…For example, the A-P model has been modified by adding more climate variables into the original equation [11] or changing the order of the relative sunshine duration [12]. However, some studies show that those modifications are not always showing any advantages comparing to the original equation [13,14]. The H-S model proposed by Hargreaves and Samani has also been modified with different equations in various places but the improvements of those modifications are various from different regions [8] and the modified versions sometimes even perform worse [15].…”

Section: Introductionmentioning

confidence: 99%

Mapping Solar Radiation at Different Timescales Using Both Sunshine Duration and Diurnal Temperature Range in China

Zeng¹,

Du²,

Wan³

et al. 2017

Topics in Civil, Environmental &Amp; Building Engineering (TICEBE)

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Previous studies investigating on the spatiotemporal variation of solar radiation are mainly focus on the annual changes, while higher time resolution spatiotemporal distributions are limited, which will be more important for different biogeochemical and hydrological processes with different timescales. In this paper, the spatiotemporal distribution of solar radiation at annual and seasonal timescales are mapped in China based on three widely used models including the Ångström-Prescott, Hargreaves-Samani and Bristow-Campbell models. Results show that the annual solar radiation decreases significantly in the Eastern monsoon zone and the Northwestern arid zone. The seasonal solar radiation decreases in most of the season in the Northwestern arid zone and the decrease trends are significantly in spring and autumn in the Eastern monsoon zone, while the changing trends are not significant in most of the seasons in the Tibetan Plateau frigid zone. Moreover, "From diming to brightening" occurs in winter, annual and particularly in spring radiation changes, while in summer solar radiation shows a continuous decrease trend and a slight decrease trend is detected in autumn solar radiation.

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Calibration of the Ångström–Prescott coefficients (a, b) under different time scales and their impacts in estimating global solar radiation in the Yellow River basin

Cited by 80 publications

References 28 publications

Impact of estimated solar radiation on gross primary productivity simulation in subtropical plantation in southeast China

Impact of estimated solar radiation on gross primary productivity simulation in subtropical plantation in southeast China

Estimativas da radiação global incidente em superfícies inclinadas com base na razão de insolação

Mapping Solar Radiation at Different Timescales Using Both Sunshine Duration and Diurnal Temperature Range in China

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