Data quality assessment and monthly stability of ground solar radiation in Galicia (NW Spain)

Mirás-Avalos, José Manuel; Gómez, Benigno Antonio Rodríguez; Meizoso-López, María del Carmen; Sande-Fouz, Patricia; González-García, Miguel Ángel; Paz‐González, Antonio

doi:10.1016/j.solener.2011.09.017

Cited by 8 publications

(7 citation statements)

References 19 publications

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“…Shading and soiling are also frequent in both MeteoGalicia and Euskalmet, questioning the selection of some sites and the maintenance protocol. Similarly, Mirás-Avalos et al [34] found several defects in MeteoGalicia and SIAR stations in Galicia with the QC procedure proposed by Younes et al [10] with additional spatial consistency tests. They suggested that certain defects were caused by the handling of data, whereas others were attributed to shadows caused by nearby objects due to the bad positioning of the stations.…”

Section: Resultsmentioning

confidence: 99%

“…On the contrary, studies based on AEMET stations are less common [7,46,47] because the access to AEMET sub-daily data is restricted. Weather stations from Euskalmet [33,48,49], MeteoGalicia [34], and SOS Rioja [50,51] have been also used to increase the density of solar radiation measurements over those regions. Therefore, it is very likely that the stations used in these studies contain some of the measuring errors found in the previous section.…”

Section: Resultsmentioning

confidence: 99%

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Analysis of Spanish Radiometric Networks with the Novel Bias-Based Quality Control (BQC) Method

Urraca

Antonanzas

Sanz-García

et al. 2019

Sensors

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Different types of measuring errors can increase the uncertainty of solar radiation measurements, but most common quality control (QC) methods do not detect frequent defects such as shading or calibration errors due to their low magnitude. We recently presented a new procedure, the Bias-based Quality Control (BQC), that detects low-magnitude defects by analyzing the stability of the deviations between several independent radiation databases and measurements. In this study, we extend the validation of the BQC by analyzing the quality of all publicly available Spanish radiometric networks measuring global horizontal irradiance (9 networks, 732 stations). Similarly to our previous validation, the BQC found many defects such as shading, soiling, or calibration issues not detected by classical QC methods. The results questioned the quality of SIAR, Euskalmet, MeteoGalica, and SOS Rioja, as all of them presented defects in more than 40% of their stations. Those studies based on these networks should be interpreted cautiously. In contrast, the number of defects was below a 5% in BSRN, AEMET, MeteoNavarra, Meteocat, and SIAR Rioja, though the presence of defects in networks such as AEMET highlights the importance of QC even when using a priori reliable stations.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Analysis of Spanish Radiometric Networks with the Novel Bias-Based Quality Control (BQC) Method

Urraca

Antonanzas

Sanz-García

et al. 2019

Sensors

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show abstract

“…The current study uses ten-minute data collected from the MeteoGalicia network [ 29 ], a regional meteorological service with more than 100 locations located in Galicia (Spain) providing global radiation data. The network integrates stations with both meteorological and agro-climatic purposes and the regional government openly offers observations from its stations on the Internet [ 35 ].…”

Section: Methodsmentioning

confidence: 99%

“…Kriging is a spatial interpolation approach that has been applied to estimate monthly irradiation [ 29 ]. However, the low number of stations and the high variability among the ten-minute scale data advise against the use of this method.…”

Section: Introductionmentioning

confidence: 99%

Missing Data Imputation of Solar Radiation Data under Different Atmospheric Conditions

Turrado

Meizoso-López

Lasheras

et al. 2014

Sensors

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Global solar broadband irradiance on a planar surface is measured at weather stations by pyranometers. In the case of the present research, solar radiation values from nine meteorological stations of the MeteoGalicia real-time observational network, captured and stored every ten minutes, are considered. In this kind of record, the lack of data and/or the presence of wrong values adversely affects any time series study. Consequently, when this occurs, a data imputation process must be performed in order to replace missing data with estimated values. This paper aims to evaluate the multivariate imputation of ten-minute scale data by means of the chained equations method (MICE). This method allows the network itself to impute the missing or wrong data of a solar radiation sensor, by using either all or just a group of the measurements of the remaining sensors. Very good results have been obtained with the MICE method in comparison with other methods employed in this field such as Inverse Distance Weighting (IDW) and Multiple Linear Regression (MLR). The average RMSE value of the predictions for the MICE algorithm was 13.37% while that for the MLR it was 28.19%, and 31.68% for the IDW.

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“…Even if the pyranometer is accurately leveled during installation, the pedestal, which the pyranometer is mounted on, may subsequently tilt. A variety of useful procedures for post-measurement quality assessment have been published in the past (Geiger et al, 2002;Muneer and Fairooz, 2002;Younes et al, 2005;Shi et al, 2008;Moradi, 2009;Tang et al, 2010;Journée and Bertrand, 2011;Miras-Avalos et al, 2012). These methods define an upper and a lower threshold and remove values being outside the acceptance range.…”

Section: Introductionmentioning

confidence: 99%

A new method for checking the leveling of pyranometers

2015

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Data quality assessment and monthly stability of ground solar radiation in Galicia (NW Spain)

Cited by 8 publications

References 19 publications

Analysis of Spanish Radiometric Networks with the Novel Bias-Based Quality Control (BQC) Method

Analysis of Spanish Radiometric Networks with the Novel Bias-Based Quality Control (BQC) Method

Missing Data Imputation of Solar Radiation Data under Different Atmospheric Conditions

A new method for checking the leveling of pyranometers

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