BQC: A free web service to quality control solar irradiance measurements across Europe

Classical quality control (QC) methods of solar irradiance apply easy-to-implement physical or statistical limits that are incapable of detecting low-magnitude measuring errors due to the large width of the intervals. We previously presented the bias-based quality control (BQC), a novel method that...

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Autores: Urraca, Ruben, Sanz García, Andrés, Sanz-Garcia, Iñigo
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2020
País:España
Institución:Universidad de Salamanca (USAL)
Repositorio:GREDOS. Repositorio Institucional de la Universidad de Salamanca
OAI Identifier:oai:gredos.usal.es:10366/146890
Acceso en línea:http://hdl.handle.net/10366/146890
Access Level:acceso abierto
Palabra clave:quality control
Solar radiation measurements
Satellite-based model
Reanalysis
pyranometer
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spelling BQC: A free web service to quality control solar irradiance measurements across EuropeUrraca, RubenSanz García, AndrésSanz-Garcia, Iñigoquality controlSolar radiation measurementsSatellite-based modelReanalysispyranometerClassical quality control (QC) methods of solar irradiance apply easy-to-implement physical or statistical limits that are incapable of detecting low-magnitude measuring errors due to the large width of the intervals. We previously presented the bias-based quality control (BQC), a novel method that flags samples in which the bias of several independent gridded datasets is larger for consecutive days than the historical value. The BQC was previously validated at 313 European and 732 Spanish stations finding multiple low-magnitude errors (e.g., shadows, soiling) not detected by classical QC methods. However, the need for gridded datasets, and ground measurements to characterize the bias, was hindering the BQC implementation. To solve this issue, we present a free web service, www.bqcmethod.com, that implements the BQC algorithm incorporating both the gridded datasets and the reference stations required to use the BQC across Europe from 1983 to 2018. Users only have to upload a CSV file with the global horizontal irradiance measurements to be analyzed. Compared to previous BQC versions, gridded products have been upgraded to SARAH-2, CLARA-A2, ERA5, and the spatial coverage has been extended to all of Europe. The web service provides a flexible environment that allows users to tune the BQC parameters and upload ancillary rain data that help in finding the causes of the errors. Besides, the outputs cover not only the visual and numerical QC flags but also daily and hourly estimations from the gridded datasets, facilitating the access to raster data.We thank the Instituto de Estudios Riojanos for funding part of the web service within the program Estudios Científicos de Temática Riojana, Spain. This research used resources from the Supercomputing Castilla y Leon Center (SCAYLE, www.scayle.es), funded by the European Regional Development Fund (ERDF). We would also like to thank the EU meteorological networks that freely distribute their datasets and particularly those researchers who helped us in retrieving these data: Aku Riiëla and Anders Lindfors (FMI), Virginie Gorjoux (Météo France), Sandra Andersson (SHMI), and Jakub Walawender (IMGW-PIB). Finally, we thank the CMSAF and ECMWF for freely distributing their products, and particularly Jörg Trentmann, for providing a beta version of CLARA-A2.1. RU is a postdoc from the University of La Rioja working as a visiting scientist at the European Commission’s Joint Research Center (JRC). RU is funded by the Plan Propio de la Universidad de La Rioja, Spain and V Plan Riojano de I+D, Spain . The views expressed here are purely those of the authors and may not, under any circumstances, be regarded as an official position of the European Commission.202120212020info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10366/146890reponame:GREDOS. Repositorio Institucional de la Universidad de Salamancainstname:Universidad de Salamanca (USAL)Inglésinfo:eu-repo/semantics/openAccessoai:gredos.usal.es:10366/1468902026-06-07T06:28:51Z
dc.title.none.fl_str_mv BQC: A free web service to quality control solar irradiance measurements across Europe
title BQC: A free web service to quality control solar irradiance measurements across Europe
spellingShingle BQC: A free web service to quality control solar irradiance measurements across Europe
Urraca, Ruben
quality control
Solar radiation measurements
Satellite-based model
Reanalysis
pyranometer
title_short BQC: A free web service to quality control solar irradiance measurements across Europe
title_full BQC: A free web service to quality control solar irradiance measurements across Europe
title_fullStr BQC: A free web service to quality control solar irradiance measurements across Europe
title_full_unstemmed BQC: A free web service to quality control solar irradiance measurements across Europe
title_sort BQC: A free web service to quality control solar irradiance measurements across Europe
dc.creator.none.fl_str_mv Urraca, Ruben
Sanz García, Andrés
Sanz-Garcia, Iñigo
author Urraca, Ruben
author_facet Urraca, Ruben
Sanz García, Andrés
Sanz-Garcia, Iñigo
author_role author
author2 Sanz García, Andrés
Sanz-Garcia, Iñigo
author2_role author
author
dc.subject.none.fl_str_mv quality control
Solar radiation measurements
Satellite-based model
Reanalysis
pyranometer
topic quality control
Solar radiation measurements
Satellite-based model
Reanalysis
pyranometer
description Classical quality control (QC) methods of solar irradiance apply easy-to-implement physical or statistical limits that are incapable of detecting low-magnitude measuring errors due to the large width of the intervals. We previously presented the bias-based quality control (BQC), a novel method that flags samples in which the bias of several independent gridded datasets is larger for consecutive days than the historical value. The BQC was previously validated at 313 European and 732 Spanish stations finding multiple low-magnitude errors (e.g., shadows, soiling) not detected by classical QC methods. However, the need for gridded datasets, and ground measurements to characterize the bias, was hindering the BQC implementation. To solve this issue, we present a free web service, www.bqcmethod.com, that implements the BQC algorithm incorporating both the gridded datasets and the reference stations required to use the BQC across Europe from 1983 to 2018. Users only have to upload a CSV file with the global horizontal irradiance measurements to be analyzed. Compared to previous BQC versions, gridded products have been upgraded to SARAH-2, CLARA-A2, ERA5, and the spatial coverage has been extended to all of Europe. The web service provides a flexible environment that allows users to tune the BQC parameters and upload ancillary rain data that help in finding the causes of the errors. Besides, the outputs cover not only the visual and numerical QC flags but also daily and hourly estimations from the gridded datasets, facilitating the access to raster data.
publishDate 2020
dc.date.none.fl_str_mv 2020
2021
2021
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10366/146890
url http://hdl.handle.net/10366/146890
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:GREDOS. Repositorio Institucional de la Universidad de Salamanca
instname:Universidad de Salamanca (USAL)
instname_str Universidad de Salamanca (USAL)
reponame_str GREDOS. Repositorio Institucional de la Universidad de Salamanca
collection GREDOS. Repositorio Institucional de la Universidad de Salamanca
repository.name.fl_str_mv
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