A critical review on the estimation of daily global solar radiation from sunshine duration

Yörükoğlu, Mehmet; Çeli̇k, Ali

doi:10.1016/j.enconman.2005.11.002

Cited by 175 publications

(83 citation statements)

References 20 publications

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“…Three of the variables were not available from climate models in the exact format required and therefore had to be calculated: As the number of sunshine hours were not directly available from climate models, they were derived from cloud cover data as suggested by Amelung (2006). We rejected an alternative calculation method using solar radiation data (Yorukoglu and Celik 2006), as it performed very poorly at high latitudes. Also the humidity data was not available in the right format: mean water vapour pressure had to be calculated from the mean dew temperature with saturation formulas (over ice and over water; Murray 1967) or from specific humidity and atmospheric pressure.…”

Section: The Adjusted Tourism Climatic Indexmentioning

confidence: 99%

Future climate resources for tourism in Europe based on the daily Tourism Climatic Index

2010

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Climate is an important resource for many types of tourism. One of several metrics for the suitability of climate for sightseeing is Mieczkowski's "Tourism Climatic Index" (TCI), which summarizes and combines seven climate variables. By means of the TCI, we analyse the present climate resources for tourism in Europe and projected changes under future climate change. We use daily data from five regional climate models and compare the reference period to the A2 scenario in 2071-2100. A comparison of the TCI based on reanalysis data and model simulations for the reference period shows that current regional climate models capture the important climatic patterns. Currently, climate resources are best in Southern Europe and deteriorate with increasing latitude and altitude. With climate change the latitudinal band of favourable climate is projected to shift northward improving climate resources in Northern and Central Europe in most seasons. Southern Europe's suitability for sightseeing tourism drops strikingly in the summer holiday months but is partially compensated by considerable improvements between October and April.

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Section: The Adjusted Tourism Climatic Indexmentioning

confidence: 99%

Future climate resources for tourism in Europe based on the daily Tourism Climatic Index

2010

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“…In the literature, there are various experimental methods used to predict the global solar radiation [3]. Yorukoglu and Celik [4] used five different models to estimate global solar radiation by using sunshine duration. Daut et.…”

Section: Introductionmentioning

confidence: 99%

A comparison of experimental and estimated data analyses of solar radiation, in Adiyaman, Turkey

Soğukpınar¹,

Bozkurt

Çaliş

2015

International Journal of Engineering Technologies IJET

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Abstract-The world's main energy source is the sun. Other energy sources are caused directly or indirectly from the sun. Turkey has a rich potential in terms of solar energy and interest in solar power systems is increasing in the rapidly evolving technology. In all of the solar energy studies needs solar radiation data but solar radiation measurements are not possible on each area. Therefore, estimation of the solar radiation by using a variety of methods is emerging importance. In this study, Turkey and Adiyaman solar energy potential is investigated and statistical analysis was performed for Adiyaman. Various parameters were estimated by using actual solar radiation data from the Meteorology and experimental data were compared with theoretical ones. According to the results of the statistical analyzes, Adiyaman data indicate the best fit with the cubic model.

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“…Previous studies indicated that the conversion from sunshine duration to R s produces better estimates than other approaches and variables (Adaramola, 2012;Trnka et al, 2005;Yorukoglu and Celik, 2006). As R s was observed at 92 radiation stations in China, accounting for only 13% of observed sunshine duration at 753 national basic meteorological stations.…”

Section: Introductionmentioning

confidence: 99%

“…S and S 0 represent sunshine duration (h) and day length (h), respectively. Calculation of R 0 and S 0 can be refer to Yorukoglu and Celik (2006) and its related references. The best model was used to estimate R s using sunshine duration for Qianyanzhou site.…”

Section: Estimation Of Solar Radiation Using Sunshine Durationmentioning

confidence: 99%

“…It provides the primary energy source driving the physical and biochemical processes (transpiration and photosynthesis) of plant and determining forest gross primary productivity (GPP) (Mercado et al, 2009). Unfortunately, the continuous R s measurement is often not available at many forest regions (Adaramola, 2012;Liu et al, 2009a;Polo et al, 2015), and has to be estimated from other available meteorological observations (Angstrom, 1924;Besharat et al, 2013;Prescott, 1940;Yorukoglu and Celik, 2006). The impact of estimated R s (R se ) on ecosystem models are mainly focused on the prediction of crop yields (cotton, maize, peanut, rice, etc.)…”

Section: Introductionmentioning

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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A critical review on the estimation of daily global solar radiation from sunshine duration

Cited by 175 publications

References 20 publications

Future climate resources for tourism in Europe based on the daily Tourism Climatic Index

Future climate resources for tourism in Europe based on the daily Tourism Climatic Index

A comparison of experimental and estimated data analyses of solar radiation, in Adiyaman, Turkey

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

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