Assessment of six different methods for the estimation of surface ultra-violet components at one location in Uruguay

Thomas, Claire - Laguarda, Agustín - Wandji Nyamsi, William - Arola, Antti - Pfeifroth, Uwe - Trentmann, Jörg - Ranchin, Thierry - Wald, Lucien

Resumen:

This communication assesses six methods estimating Ultra-Violet A and B (UV-A and UV-B) fluxes from satellite imagery, numerical weather modelsorground measurements. The UV estimates from each method are compared to coincident 15 minutes in-situ measurements collected at one location in Uruguay from September 2015 to January 2019. The first method combines Global Horizontal Irradiance (G) measured on site with satellite-derived daily Ozone concentration. The second method uses an empirical model onto satellite-retrieved solar broadband irradiance at the surface (SSI) produced by HelioClim-3version 5 (HC3v5) to derive UV fluxes. The third method named CAMS-UV, is one of the outputs of ECMWF numerical weather model. The three remaining methods rely on more sophisticated modellingof the atmosphere in cloud-free conditions using radiative transfer modellingcombined to a cloud modification factor (or cloud extinction) derived from HC3v5. Outside anunderestimation observed for the UV-B range for bothCAMS-UV (-20 %)andforthe empirical model (-29%),methods demonstrated their ability to collect the temporal variability of the signal of the instrument on-ground;biases ranges from-2to 4% for UV-A andfrom0 to 10 %for UV-B, RMSE are close to 15 %and almost all correlation coefficients exceed 0.96. This analysisgivesprecious elements for discussion about the performance of models mainly developed and validated over Europe and Africa.

Detalles Bibliográficos
2019
UV-A and B
CAMS
HelioClim-3
Surface solar irradiance
Radiative transfer modeling
Numerical weather model
Ground measurements
Inglés
Universidad de la República
COLIBRI
https://hdl.handle.net/20.500.12008/24380
Acceso abierto
Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
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author Thomas, Claire
author2 Laguarda, Agustín
Wandji Nyamsi, William
Arola, Antti
Pfeifroth, Uwe
Trentmann, Jörg
Ranchin, Thierry
Wald, Lucien
author2_role author
author
author
author
author
author
author
author_facet Thomas, Claire
Laguarda, Agustín
Wandji Nyamsi, William
Arola, Antti
Pfeifroth, Uwe
Trentmann, Jörg
Ranchin, Thierry
Wald, Lucien
author_role author
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collection COLIBRI
dc.contributor.filiacion.none.fl_str_mv Thomas Claire, Transvalor S.A., Biot(France)
Laguarda Agustin, Universidad de la República (Uruguay). Facultad de Ingeniería. Laboratorio de Energía Solar.
Wandji Nyamsi William, Finnish Meteorological Institute, Kuopio (Finland)
Arola Antti, Finnish Meteorological Institute, Kuopio (Finland)
Pfeifroth Uwe, Deutscher Wetterdienst, SatelliteApplication Facility on Climate Monitoring, Offenbach (Germany)
Trentmann Jörg, Deutscher Wetterdienst, SatelliteApplication Facility on Climate Monitoring, Offenbach (Germany)
Ranchin Thierry, MINES ParisTech, PSLUniversity, O.I.E. Laboratory, Sophia Antipolis (France)
Wald Lucien, MINES ParisTech, PSLUniversity, O.I.E. Laboratory, Sophia Antipolis (France)
dc.coverage.spatial.es.fl_str_mv Uruguay
dc.creator.none.fl_str_mv Thomas, Claire
Laguarda, Agustín
Wandji Nyamsi, William
Arola, Antti
Pfeifroth, Uwe
Trentmann, Jörg
Ranchin, Thierry
Wald, Lucien
dc.date.accessioned.none.fl_str_mv 2020-06-22T12:20:43Z
dc.date.available.none.fl_str_mv 2020-06-22T12:20:43Z
dc.date.issued.none.fl_str_mv 2019
dc.description.abstract.none.fl_txt_mv This communication assesses six methods estimating Ultra-Violet A and B (UV-A and UV-B) fluxes from satellite imagery, numerical weather modelsorground measurements. The UV estimates from each method are compared to coincident 15 minutes in-situ measurements collected at one location in Uruguay from September 2015 to January 2019. The first method combines Global Horizontal Irradiance (G) measured on site with satellite-derived daily Ozone concentration. The second method uses an empirical model onto satellite-retrieved solar broadband irradiance at the surface (SSI) produced by HelioClim-3version 5 (HC3v5) to derive UV fluxes. The third method named CAMS-UV, is one of the outputs of ECMWF numerical weather model. The three remaining methods rely on more sophisticated modellingof the atmosphere in cloud-free conditions using radiative transfer modellingcombined to a cloud modification factor (or cloud extinction) derived from HC3v5. Outside anunderestimation observed for the UV-B range for bothCAMS-UV (-20 %)andforthe empirical model (-29%),methods demonstrated their ability to collect the temporal variability of the signal of the instrument on-ground;biases ranges from-2to 4% for UV-A andfrom0 to 10 %for UV-B, RMSE are close to 15 %and almost all correlation coefficients exceed 0.96. This analysisgivesprecious elements for discussion about the performance of models mainly developed and validated over Europe and Africa.
dc.format.mimetype.es.fl_str_mv application/pdf
dc.identifier.citation.es.fl_str_mv Thomas, C., Laguarda, A., Wandji Nyamsi, W. y otros. Assessment of six different methods for the estimation of surface ultra-violet components at one location in Uruguay [Preprint] Publicado en: Proceedings of the ISES Solar World Congress, Santiago de Chile, Chile, 4-7 de Nov., 2019. DOI:10.18086/swc.2019.42.12
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12008/24380
dc.language.iso.none.fl_str_mv en
eng
dc.publisher.es.fl_str_mv ISES
dc.relation.none.fl_str_mv Proceedings of the ISES Solar World Congress 2019, Santiago de Chile, Chile, 4-7 de Noviembre, 2019
dc.rights.license.none.fl_str_mv Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
dc.source.none.fl_str_mv reponame:COLIBRI
instname:Universidad de la República
instacron:Universidad de la República
dc.subject.es.fl_str_mv UV-A and B
CAMS
HelioClim-3
Surface solar irradiance
Radiative transfer modeling
Numerical weather model
Ground measurements
dc.title.none.fl_str_mv Assessment of six different methods for the estimation of surface ultra-violet components at one location in Uruguay
dc.type.es.fl_str_mv Preprint
dc.type.none.fl_str_mv info:eu-repo/semantics/preprint
dc.type.version.none.fl_str_mv info:eu-repo/semantics/submittedVersion
description This communication assesses six methods estimating Ultra-Violet A and B (UV-A and UV-B) fluxes from satellite imagery, numerical weather modelsorground measurements. The UV estimates from each method are compared to coincident 15 minutes in-situ measurements collected at one location in Uruguay from September 2015 to January 2019. The first method combines Global Horizontal Irradiance (G) measured on site with satellite-derived daily Ozone concentration. The second method uses an empirical model onto satellite-retrieved solar broadband irradiance at the surface (SSI) produced by HelioClim-3version 5 (HC3v5) to derive UV fluxes. The third method named CAMS-UV, is one of the outputs of ECMWF numerical weather model. The three remaining methods rely on more sophisticated modellingof the atmosphere in cloud-free conditions using radiative transfer modellingcombined to a cloud modification factor (or cloud extinction) derived from HC3v5. Outside anunderestimation observed for the UV-B range for bothCAMS-UV (-20 %)andforthe empirical model (-29%),methods demonstrated their ability to collect the temporal variability of the signal of the instrument on-ground;biases ranges from-2to 4% for UV-A andfrom0 to 10 %for UV-B, RMSE are close to 15 %and almost all correlation coefficients exceed 0.96. This analysisgivesprecious elements for discussion about the performance of models mainly developed and validated over Europe and Africa.
eu_rights_str_mv openAccess
format preprint
id COLIBRI_6276fa86f9bccda7f8f3ba4cfd098808
identifier_str_mv Thomas, C., Laguarda, A., Wandji Nyamsi, W. y otros. Assessment of six different methods for the estimation of surface ultra-violet components at one location in Uruguay [Preprint] Publicado en: Proceedings of the ISES Solar World Congress, Santiago de Chile, Chile, 4-7 de Nov., 2019. DOI:10.18086/swc.2019.42.12
instacron_str Universidad de la República
institution Universidad de la República
instname_str Universidad de la República
language eng
language_invalid_str_mv en
network_acronym_str COLIBRI
network_name_str COLIBRI
oai_identifier_str oai:colibri.udelar.edu.uy:20.500.12008/24380
publishDate 2019
reponame_str COLIBRI
repository.mail.fl_str_mv karina.camps@seciu.edu.uy
repository.name.fl_str_mv COLIBRI - Universidad de la República
repository_id_str 4771
rights_invalid_str_mv Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
spelling Thomas Claire, Transvalor S.A., Biot(France)Laguarda Agustin, Universidad de la República (Uruguay). Facultad de Ingeniería. Laboratorio de Energía Solar.Wandji Nyamsi William, Finnish Meteorological Institute, Kuopio (Finland)Arola Antti, Finnish Meteorological Institute, Kuopio (Finland)Pfeifroth Uwe, Deutscher Wetterdienst, SatelliteApplication Facility on Climate Monitoring, Offenbach (Germany)Trentmann Jörg, Deutscher Wetterdienst, SatelliteApplication Facility on Climate Monitoring, Offenbach (Germany)Ranchin Thierry, MINES ParisTech, PSLUniversity, O.I.E. Laboratory, Sophia Antipolis (France)Wald Lucien, MINES ParisTech, PSLUniversity, O.I.E. Laboratory, Sophia Antipolis (France)Uruguay2020-06-22T12:20:43Z2020-06-22T12:20:43Z2019Thomas, C., Laguarda, A., Wandji Nyamsi, W. y otros. Assessment of six different methods for the estimation of surface ultra-violet components at one location in Uruguay [Preprint] Publicado en: Proceedings of the ISES Solar World Congress, Santiago de Chile, Chile, 4-7 de Nov., 2019. DOI:10.18086/swc.2019.42.12https://hdl.handle.net/20.500.12008/24380This communication assesses six methods estimating Ultra-Violet A and B (UV-A and UV-B) fluxes from satellite imagery, numerical weather modelsorground measurements. The UV estimates from each method are compared to coincident 15 minutes in-situ measurements collected at one location in Uruguay from September 2015 to January 2019. The first method combines Global Horizontal Irradiance (G) measured on site with satellite-derived daily Ozone concentration. The second method uses an empirical model onto satellite-retrieved solar broadband irradiance at the surface (SSI) produced by HelioClim-3version 5 (HC3v5) to derive UV fluxes. The third method named CAMS-UV, is one of the outputs of ECMWF numerical weather model. The three remaining methods rely on more sophisticated modellingof the atmosphere in cloud-free conditions using radiative transfer modellingcombined to a cloud modification factor (or cloud extinction) derived from HC3v5. Outside anunderestimation observed for the UV-B range for bothCAMS-UV (-20 %)andforthe empirical model (-29%),methods demonstrated their ability to collect the temporal variability of the signal of the instrument on-ground;biases ranges from-2to 4% for UV-A andfrom0 to 10 %for UV-B, RMSE are close to 15 %and almost all correlation coefficients exceed 0.96. This analysisgivesprecious elements for discussion about the performance of models mainly developed and validated over Europe and Africa.Submitted by Cabrera Gabriela (gfcabrerarossi@gmail.com) on 2020-06-17T21:36:03Z No. of bitstreams: 2 license_rdf: 23149 bytes, checksum: 1996b8461bc290aef6a27d78c67b6b52 (MD5) TLWAPTRW19.pdf: 901768 bytes, checksum: be2ef4063297a701529e22359eb72e76 (MD5)Approved for entry into archive by Machado Jimena (jmachado@fing.edu.uy) on 2020-06-19T22:06:38Z (GMT) No. of bitstreams: 2 license_rdf: 23149 bytes, checksum: 1996b8461bc290aef6a27d78c67b6b52 (MD5) TLWAPTRW19.pdf: 901768 bytes, checksum: be2ef4063297a701529e22359eb72e76 (MD5)Made available in DSpace by Luna Fabiana (fabiana.luna@fic.edu.uy) on 2020-06-22T12:20:43Z (GMT). No. of bitstreams: 2 license_rdf: 23149 bytes, checksum: 1996b8461bc290aef6a27d78c67b6b52 (MD5) TLWAPTRW19.pdf: 901768 bytes, checksum: be2ef4063297a701529e22359eb72e76 (MD5) Previous issue date: 2019application/pdfenengISESProceedings of the ISES Solar World Congress 2019, Santiago de Chile, Chile, 4-7 de Noviembre, 2019Las obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad de la República.(Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. Nº 16 de C.D.C. de 07/10/2014)info:eu-repo/semantics/openAccessLicencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)UV-A and BCAMSHelioClim-3Surface solar irradianceRadiative transfer modelingNumerical weather modelGround measurementsAssessment of six different methods for the estimation of surface ultra-violet components at one location in UruguayPreprintinfo:eu-repo/semantics/preprintinfo:eu-repo/semantics/submittedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaThomas, ClaireLaguarda, AgustínWandji Nyamsi, WilliamArola, AnttiPfeifroth, UweTrentmann, JörgRanchin, ThierryWald, LucienLICENSElicense.txtlicense.txttext/plain; charset=utf-84267http://localhost:8080/xmlui/bitstream/20.500.12008/24380/5/license.txt6429389a7df7277b72b7924fdc7d47a9MD55CC-LICENSElicense_urllicense_urltext/plain; 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públicahttps://udelar.edu.uy/https://www.colibri.udelar.edu.uy/oai/requestkarina.camps@seciu.edu.uyUruguayopendoar:47712023-08-01T18:14:45COLIBRI - Universidad de la Repúblicafalse
spellingShingle Assessment of six different methods for the estimation of surface ultra-violet components at one location in Uruguay
Thomas, Claire
UV-A and B
CAMS
HelioClim-3
Surface solar irradiance
Radiative transfer modeling
Numerical weather model
Ground measurements
status_str submittedVersion
title Assessment of six different methods for the estimation of surface ultra-violet components at one location in Uruguay
title_full Assessment of six different methods for the estimation of surface ultra-violet components at one location in Uruguay
title_fullStr Assessment of six different methods for the estimation of surface ultra-violet components at one location in Uruguay
title_full_unstemmed Assessment of six different methods for the estimation of surface ultra-violet components at one location in Uruguay
title_short Assessment of six different methods for the estimation of surface ultra-violet components at one location in Uruguay
title_sort Assessment of six different methods for the estimation of surface ultra-violet components at one location in Uruguay
topic UV-A and B
CAMS
HelioClim-3
Surface solar irradiance
Radiative transfer modeling
Numerical weather model
Ground measurements
url https://hdl.handle.net/20.500.12008/24380