Assessment of six different methods for the estimation of surface ultra-violet components at one location in Uruguay
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.
| 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) |
| _version_ | 1872865323470815232 |
|---|---|
| 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 |