A database of multi-year (2004–2010) quality-assured surface solar hourly irradiation measurements for the Egyptian territory

Korany, Mohamed; Boraiy, Mohamed; Eissa, Yehia; Aoun, Youva; Wahab, Magdy Abdel; Alfaro, Stéphane C.; Blanc, Philippe; El‐Metwally, Mossad; Ghedira, Hosni; Hungershoefer, K.; Wald, Lucien

doi:10.5194/essdd-8-737-2015

Cited by 4 publications

(2 citation statements)

References 13 publications

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“…Often mistakes appear in time series of solar data due to problems with the acquisition system; an automatic quality check used in the frame of GEOSS project (Group on Earth Observation System of System) has been applied to the data. The quality of the data (Korany et al, 2016) and the procedure applied to flag suspicious or erroneous measurements is described in detail by David et al (2016). Both stations are equipped with pyranometers (CM 11 Kipp & Zonen) and standard meteorological sensors (pressure, nebulosity, etc.).…”

Section: Datamentioning

confidence: 99%

Periodic autoregressive forecasting of global solar irradiation without knowledge-based model implementation

Voyant¹,

Gooijer

Notton³

2018

Solar Energy

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Reliable forecasting methods increase the integration level of stochastic production and reduce cost of intermittence of photovoltaic production. This paper proposes a solar forecasting model for short time horizons, i.e. one to six hours ahead. In this time-range, machine learning methods have proven their efficiency. But their application requires that the solar irradiation time series is stationary which can be realized by calculating the clear sky global horizontal solar irradiance index (CSI), depending on certain meteorological parameters. This step is delicate and often generates additional uncertainty if conditions underlying the calculation of the CSI are not well-defined and/or unknown. As a novel alternative, we introduce a so-called periodic autoregressive (PAR) model. We discuss the computation of post-sample point forecasts and forecast intervals. We show the forecasting accuracy of the model via a real data set, i.e., the global horizontal solar irradiation (GHI) measured at two meteorological stations located at Corsica Island, France. In particular, and as opposed to methods based on CSI, a PAR model helps to improve forecast accuracy, especially for short forecast horizons. In all the cases, PAR is more appropriate than persistence, and smart persistence. Moreover, smart persistence based on the typical meteorological year gives more reliable results than when based on CSI.

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Section: Datamentioning

confidence: 99%

Periodic autoregressive forecasting of global solar irradiation without knowledge-based model implementation

Voyant¹,

Gooijer

Notton³

2018

Solar Energy

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“…In the absence of such a procedure we have adapted the approach of Korany et al (2016) which applies to measurements of global and diffuse total irradiances. In our specific case, the quality check (QC) of Korany et al (2016) consists of checking that each measurement E(t, λ) falls into the range [0.03 E0(t, λ), E0(t, λ)], where t is the time of measurement, λ the wavelength, λ the spectral range, E(t, λ) the measurement, and E0(t, λ) the corresponding irradiance or PPFD at the top of the atmosphere (TOA). Given a typical spectrum E0(λ) (Kurucz, 1992) of the irradiance at TOA, the ratio of the irradiance at TOA for a given spectral band E0( λ) to the total irradiance at TOA E0 was computed for each spectral band (Table 4).…”

Section: Quality Check Applied To Radiation Datamentioning

confidence: 99%

A database of 10 min average measurements of solar radiation and meteorological variables in Ostrava, Czech Republic

Opálková

Navrátil

Špunda³

et al. 2018

Earth Syst. Sci. Data

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Abstract.A database containing 10 min means of solar irradiance measured on a horizontal plane in several ultraviolet and visible bands from July 2014 to December 2016 at three stations in the area of the city of Ostrava (Czech Republic) is presented. The database contains time series of 10 min average irradiances or photosynthetic photon flux densities measured in the following spectral bands: 280-315 nm (UVB); 315-380 nm (UVA); and 400-700 nm (photosynthetically active radiation, PAR); 510-700 nm; 600-700 nm; 610-680 nm; 690-780 nm; 400-1100 nm. A series of meteorological variables including relative air humidity and air temperature at surface is also provided at the same 10 min time step at all three stations, and precipitation is provided for two stations. Air pressure, wind speed, wind direction, and concentrations of air pollutants PM 10 , SO 2 , NO x , NO, NO 2 were measured at the 1 h time step at the fourth station owned by the Public Health Institute of Ostrava. The details of the experimental sites and instruments used for the measurements are given. Special attention is given to the data quality, and the original approach to the data quality which was established is described in detail. About 130 000 records for each of the three stations are available in the database. This database offers a unique ensemble of variables having a high temporal resolution and it is a reliable source for radiation in relation to environment and vegetation in highly polluted areas of industrial cities in the of northern mid-latitudes. The database has been placed on the PANGAEA repository (https://doi.org/10.1594/PANGAEA.879722) and contains individual data files for each station.

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Building global and diffuse solar radiation series and assessing decadal trends in Girona (NE Iberian Peninsula)

Calbó

González

Sánchez-Lorenzo

2016

Theor Appl Climatol

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Measurement of solar radiation was initiated in Girona, northeast of the Iberian Peninsula, in the late 1980s. Initially, two pyranometers were installed, one of them equipped with a shadowband for measuring the diffuse component. Two other pyranometers currently exist, both ventilated and one of them shadowed, with a sphere, and a pyrheliometer for measuring direct radiation. Additional instruments for other shortwave and longwave components, clouds, and atmospheric aerosols have been installed in recent years. The station is subject to daily inspection, data are saved at high temporal resolution, and instruments are periodically calibrated, all in accordance with the directions of the Baseline Surface Radiation Network. The present paper describes how the entire series of global solar radiation (1987–2014) and diffuse radiation (1994–2014) were built, including the quality control process. Appropriate corrections to the diffuse component were made when a shadowband was employed to make measurements. Analysis of the series reveals that annual mean global irradiance presents a statistically significant increase of 2.5 W m−2 (1.4 %) decade−1 (1988–2014 period), mainly due to what occurs in summer (5.6 W m−2 decade−1). These results constitute the first assessment of solar radiation trends for the northeastern region of the Iberian Peninsula and are consistent with trends observed in the regional surroundings and also by satellite platforms, in agreement with the global brightening phenomenon. Diffuse radiation has decreased at −1.3 W m−2 (−2 %) decade−1 (1994–2014 period), which is a further indication of the reduced cloudiness and/or aerosol load causing the changesWe wish to thank the Spanish Ministry of Economy and Competitiveness, whose funding, through project NUCLIERSOL (CGL2010-18546-CLI), made the records from the radiometric station in Girona freely available on the station’s webpage (http://nuclierdata.udg.edu/). The instrumentation used in this research was acquired and has been maintained over the years thanks to the support of several institutions, mainly the Spanish Ministry of Science, the Catalan Directorate for Research, and the University of Girona. The present paper was supported by the Spanish Ministry of Economy and Competitiveness, through project NUBESOL (CGL2014-55976-R

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A database of multi-year (2004–2010) quality-assured surface solar hourly irradiation measurements for the Egyptian territory

Cited by 4 publications

References 13 publications

Periodic autoregressive forecasting of global solar irradiation without knowledge-based model implementation

Periodic autoregressive forecasting of global solar irradiation without knowledge-based model implementation

A database of 10 min average measurements of solar radiation and meteorological variables in Ostrava, Czech Republic

Building global and diffuse solar radiation series and assessing decadal trends in Girona (NE Iberian Peninsula)

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