Characterization of the annual regime of surface solar irradiance over Argentine Pampean Region using GL 1.2 satellite-based data

Autores
Ceballos, Juan Carlos; Silva Porfirio, Anthony Carlos; Oricchio, Patricio; Posse Beaulieu, Gabriela
Año de publicación
2022
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Detailed description of the solar resource (spatial distribution and temporal variations) is highly desirable in the context of climate monitoring, agricultural planning and energy technologies; however, one shortcoming is the low density of solarimetric networks in many extended regions. Satellite-based estimations have become a potential key tool, provided their data show adequate temporal frequency, high resolution and acceptable accuracy. GL1.2 Model currently runs at Brazilian National Institute for Space Research (CPTEC/INPE), based on GOES VIS channel imagery. It was tested for characterizing solar radiation regime over Pampa Region in Argentina, which extends over more than 600,000 km2. Comparison with time series of nine stations of the Pampa network in the period 2011–2018 showed close agreement for daily mean irradiance using 10-days as well as monthly values (mean bias error generally |MBE| < 6 W m-2 standard deviation STD ≈ 10-15 W m-2 and resulting root mean square error RMSE ≈ 10–16 W m−2). Completeness of GL time series and high spatial definition (0.04°) allowed further time and space analysis of solar radiation regime. It confirmed that Pampean region is rather homogeneous with annual mean GL increasing from 185 W m−2 on coastal region up to 220 W m−2 on the western and northern limits. In addition, GL data detects sharper variations in a scale of few kilometers, such as transition between ground and water in oceanic coast or large rivers. Regional interannual variability is low: COV ≈ 3–4%. All stations in Pampa network show a well definite annual cycle, closely followed by GL estimates. Fourier analysis for GL monthly series shows a dominant deterministic one year signal (H8 harmonic), accounting for 93–95% of variance for all stations and throughout the Pampa region, in phase with the end of Southern Hemisphere spring. The H8 amplitude varies from 100 W m−2 along inner continental boundary up to 120 in southwestern and coastal bound. It is concluded that GL 1.2 model data can be used to accurately describe time series of daily mean irradiance, for 10-days and monthly scales and 4 km resolution, providing a "Test Reference Year" (TRY). This is precious in order to describe spatial-temporal patterns of regional solar climate. An otherwise "random signal" of 20 W m−2 is associated to transient meteorological phenomena with durations shorter than 10-days, such as cold fronts or convective activity. Their deterministic and/or statistical structure could be improved by the combined analysis of short-time scales Pampa network and GL data (daily, hourly or even minutely).
Fil: Ceballos, Juan Carlos. Instituto Nacional de Pesquisas Espaciais. Coordenação Geral de Ciências da Terra. Divisão de Satélites e Sensores Meteorológico; Brasil
Fil: Silva Porfirio, Anthony Carlos. Instituto Nacional de Pesquisas Espaciais. Coordenação Geral de Ciências da Terra. Divisão de Satélites e Sensores Meteorológico; Brasil
Fil: Oricchio, Patricio. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina
Fil: Posse Beaulieu, Gabriela. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina
Fuente
Renewable Energy 194 : 526-537 (July 2022)
Materia
Solar Radiation
Spatial Data
Satellite Imagery
Radiación Solar
Datos Espaciales
Imágenes por Satélites
Región Pampeana
Modelo GL
Clima de Radiación de Onda Corta
Periodicidades de la Serie de Temporizadores
GL Model
Shortwave Radiation Climate
Timer Series Periodicities
Nivel de accesibilidad
acceso restringido
Condiciones de uso
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
oai:localhost:20.500.12123/12076

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oai_identifier_str oai:localhost:20.500.12123/12076
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network_name_str INTA Digital (INTA)
spelling Characterization of the annual regime of surface solar irradiance over Argentine Pampean Region using GL 1.2 satellite-based dataCeballos, Juan CarlosSilva Porfirio, Anthony CarlosOricchio, PatricioPosse Beaulieu, GabrielaSolar RadiationSpatial DataSatellite ImageryRadiación SolarDatos EspacialesImágenes por SatélitesRegión PampeanaModelo GLClima de Radiación de Onda CortaPeriodicidades de la Serie de TemporizadoresGL ModelShortwave Radiation ClimateTimer Series PeriodicitiesDetailed description of the solar resource (spatial distribution and temporal variations) is highly desirable in the context of climate monitoring, agricultural planning and energy technologies; however, one shortcoming is the low density of solarimetric networks in many extended regions. Satellite-based estimations have become a potential key tool, provided their data show adequate temporal frequency, high resolution and acceptable accuracy. GL1.2 Model currently runs at Brazilian National Institute for Space Research (CPTEC/INPE), based on GOES VIS channel imagery. It was tested for characterizing solar radiation regime over Pampa Region in Argentina, which extends over more than 600,000 km2. Comparison with time series of nine stations of the Pampa network in the period 2011–2018 showed close agreement for daily mean irradiance using 10-days as well as monthly values (mean bias error generally |MBE| < 6 W m-2 standard deviation STD ≈ 10-15 W m-2 and resulting root mean square error RMSE ≈ 10–16 W m−2). Completeness of GL time series and high spatial definition (0.04°) allowed further time and space analysis of solar radiation regime. It confirmed that Pampean region is rather homogeneous with annual mean GL increasing from 185 W m−2 on coastal region up to 220 W m−2 on the western and northern limits. In addition, GL data detects sharper variations in a scale of few kilometers, such as transition between ground and water in oceanic coast or large rivers. Regional interannual variability is low: COV ≈ 3–4%. All stations in Pampa network show a well definite annual cycle, closely followed by GL estimates. Fourier analysis for GL monthly series shows a dominant deterministic one year signal (H8 harmonic), accounting for 93–95% of variance for all stations and throughout the Pampa region, in phase with the end of Southern Hemisphere spring. The H8 amplitude varies from 100 W m−2 along inner continental boundary up to 120 in southwestern and coastal bound. It is concluded that GL 1.2 model data can be used to accurately describe time series of daily mean irradiance, for 10-days and monthly scales and 4 km resolution, providing a "Test Reference Year" (TRY). This is precious in order to describe spatial-temporal patterns of regional solar climate. An otherwise "random signal" of 20 W m−2 is associated to transient meteorological phenomena with durations shorter than 10-days, such as cold fronts or convective activity. Their deterministic and/or statistical structure could be improved by the combined analysis of short-time scales Pampa network and GL data (daily, hourly or even minutely).Fil: Ceballos, Juan Carlos. Instituto Nacional de Pesquisas Espaciais. Coordenação Geral de Ciências da Terra. Divisão de Satélites e Sensores Meteorológico; BrasilFil: Silva Porfirio, Anthony Carlos. Instituto Nacional de Pesquisas Espaciais. Coordenação Geral de Ciências da Terra. Divisão de Satélites e Sensores Meteorológico; BrasilFil: Oricchio, Patricio. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; ArgentinaFil: Posse Beaulieu, Gabriela. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; ArgentinaElsevier2022-06-13T10:26:56Z2022-06-13T10:26:56Z2022-05-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/12076https://www.sciencedirect.com/science/article/abs/pii/S09601481220067960960-1481https://doi.org/10.1016/j.renene.2022.05.038Renewable Energy 194 : 526-537 (July 2022)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/restrictedAccess2025-09-29T13:45:35Zoai:localhost:20.500.12123/12076instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-09-29 13:45:35.894INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv Characterization of the annual regime of surface solar irradiance over Argentine Pampean Region using GL 1.2 satellite-based data
title Characterization of the annual regime of surface solar irradiance over Argentine Pampean Region using GL 1.2 satellite-based data
spellingShingle Characterization of the annual regime of surface solar irradiance over Argentine Pampean Region using GL 1.2 satellite-based data
Ceballos, Juan Carlos
Solar Radiation
Spatial Data
Satellite Imagery
Radiación Solar
Datos Espaciales
Imágenes por Satélites
Región Pampeana
Modelo GL
Clima de Radiación de Onda Corta
Periodicidades de la Serie de Temporizadores
GL Model
Shortwave Radiation Climate
Timer Series Periodicities
title_short Characterization of the annual regime of surface solar irradiance over Argentine Pampean Region using GL 1.2 satellite-based data
title_full Characterization of the annual regime of surface solar irradiance over Argentine Pampean Region using GL 1.2 satellite-based data
title_fullStr Characterization of the annual regime of surface solar irradiance over Argentine Pampean Region using GL 1.2 satellite-based data
title_full_unstemmed Characterization of the annual regime of surface solar irradiance over Argentine Pampean Region using GL 1.2 satellite-based data
title_sort Characterization of the annual regime of surface solar irradiance over Argentine Pampean Region using GL 1.2 satellite-based data
dc.creator.none.fl_str_mv Ceballos, Juan Carlos
Silva Porfirio, Anthony Carlos
Oricchio, Patricio
Posse Beaulieu, Gabriela
author Ceballos, Juan Carlos
author_facet Ceballos, Juan Carlos
Silva Porfirio, Anthony Carlos
Oricchio, Patricio
Posse Beaulieu, Gabriela
author_role author
author2 Silva Porfirio, Anthony Carlos
Oricchio, Patricio
Posse Beaulieu, Gabriela
author2_role author
author
author
dc.subject.none.fl_str_mv Solar Radiation
Spatial Data
Satellite Imagery
Radiación Solar
Datos Espaciales
Imágenes por Satélites
Región Pampeana
Modelo GL
Clima de Radiación de Onda Corta
Periodicidades de la Serie de Temporizadores
GL Model
Shortwave Radiation Climate
Timer Series Periodicities
topic Solar Radiation
Spatial Data
Satellite Imagery
Radiación Solar
Datos Espaciales
Imágenes por Satélites
Región Pampeana
Modelo GL
Clima de Radiación de Onda Corta
Periodicidades de la Serie de Temporizadores
GL Model
Shortwave Radiation Climate
Timer Series Periodicities
dc.description.none.fl_txt_mv Detailed description of the solar resource (spatial distribution and temporal variations) is highly desirable in the context of climate monitoring, agricultural planning and energy technologies; however, one shortcoming is the low density of solarimetric networks in many extended regions. Satellite-based estimations have become a potential key tool, provided their data show adequate temporal frequency, high resolution and acceptable accuracy. GL1.2 Model currently runs at Brazilian National Institute for Space Research (CPTEC/INPE), based on GOES VIS channel imagery. It was tested for characterizing solar radiation regime over Pampa Region in Argentina, which extends over more than 600,000 km2. Comparison with time series of nine stations of the Pampa network in the period 2011–2018 showed close agreement for daily mean irradiance using 10-days as well as monthly values (mean bias error generally |MBE| < 6 W m-2 standard deviation STD ≈ 10-15 W m-2 and resulting root mean square error RMSE ≈ 10–16 W m−2). Completeness of GL time series and high spatial definition (0.04°) allowed further time and space analysis of solar radiation regime. It confirmed that Pampean region is rather homogeneous with annual mean GL increasing from 185 W m−2 on coastal region up to 220 W m−2 on the western and northern limits. In addition, GL data detects sharper variations in a scale of few kilometers, such as transition between ground and water in oceanic coast or large rivers. Regional interannual variability is low: COV ≈ 3–4%. All stations in Pampa network show a well definite annual cycle, closely followed by GL estimates. Fourier analysis for GL monthly series shows a dominant deterministic one year signal (H8 harmonic), accounting for 93–95% of variance for all stations and throughout the Pampa region, in phase with the end of Southern Hemisphere spring. The H8 amplitude varies from 100 W m−2 along inner continental boundary up to 120 in southwestern and coastal bound. It is concluded that GL 1.2 model data can be used to accurately describe time series of daily mean irradiance, for 10-days and monthly scales and 4 km resolution, providing a "Test Reference Year" (TRY). This is precious in order to describe spatial-temporal patterns of regional solar climate. An otherwise "random signal" of 20 W m−2 is associated to transient meteorological phenomena with durations shorter than 10-days, such as cold fronts or convective activity. Their deterministic and/or statistical structure could be improved by the combined analysis of short-time scales Pampa network and GL data (daily, hourly or even minutely).
Fil: Ceballos, Juan Carlos. Instituto Nacional de Pesquisas Espaciais. Coordenação Geral de Ciências da Terra. Divisão de Satélites e Sensores Meteorológico; Brasil
Fil: Silva Porfirio, Anthony Carlos. Instituto Nacional de Pesquisas Espaciais. Coordenação Geral de Ciências da Terra. Divisão de Satélites e Sensores Meteorológico; Brasil
Fil: Oricchio, Patricio. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina
Fil: Posse Beaulieu, Gabriela. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina
description Detailed description of the solar resource (spatial distribution and temporal variations) is highly desirable in the context of climate monitoring, agricultural planning and energy technologies; however, one shortcoming is the low density of solarimetric networks in many extended regions. Satellite-based estimations have become a potential key tool, provided their data show adequate temporal frequency, high resolution and acceptable accuracy. GL1.2 Model currently runs at Brazilian National Institute for Space Research (CPTEC/INPE), based on GOES VIS channel imagery. It was tested for characterizing solar radiation regime over Pampa Region in Argentina, which extends over more than 600,000 km2. Comparison with time series of nine stations of the Pampa network in the period 2011–2018 showed close agreement for daily mean irradiance using 10-days as well as monthly values (mean bias error generally |MBE| < 6 W m-2 standard deviation STD ≈ 10-15 W m-2 and resulting root mean square error RMSE ≈ 10–16 W m−2). Completeness of GL time series and high spatial definition (0.04°) allowed further time and space analysis of solar radiation regime. It confirmed that Pampean region is rather homogeneous with annual mean GL increasing from 185 W m−2 on coastal region up to 220 W m−2 on the western and northern limits. In addition, GL data detects sharper variations in a scale of few kilometers, such as transition between ground and water in oceanic coast or large rivers. Regional interannual variability is low: COV ≈ 3–4%. All stations in Pampa network show a well definite annual cycle, closely followed by GL estimates. Fourier analysis for GL monthly series shows a dominant deterministic one year signal (H8 harmonic), accounting for 93–95% of variance for all stations and throughout the Pampa region, in phase with the end of Southern Hemisphere spring. The H8 amplitude varies from 100 W m−2 along inner continental boundary up to 120 in southwestern and coastal bound. It is concluded that GL 1.2 model data can be used to accurately describe time series of daily mean irradiance, for 10-days and monthly scales and 4 km resolution, providing a "Test Reference Year" (TRY). This is precious in order to describe spatial-temporal patterns of regional solar climate. An otherwise "random signal" of 20 W m−2 is associated to transient meteorological phenomena with durations shorter than 10-days, such as cold fronts or convective activity. Their deterministic and/or statistical structure could be improved by the combined analysis of short-time scales Pampa network and GL data (daily, hourly or even minutely).
publishDate 2022
dc.date.none.fl_str_mv 2022-06-13T10:26:56Z
2022-06-13T10:26:56Z
2022-05-12
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12123/12076
https://www.sciencedirect.com/science/article/abs/pii/S0960148122006796
0960-1481
https://doi.org/10.1016/j.renene.2022.05.038
url http://hdl.handle.net/20.500.12123/12076
https://www.sciencedirect.com/science/article/abs/pii/S0960148122006796
https://doi.org/10.1016/j.renene.2022.05.038
identifier_str_mv 0960-1481
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/restrictedAccess
eu_rights_str_mv restrictedAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv Renewable Energy 194 : 526-537 (July 2022)
reponame:INTA Digital (INTA)
instname:Instituto Nacional de Tecnología Agropecuaria
reponame_str INTA Digital (INTA)
collection INTA Digital (INTA)
instname_str Instituto Nacional de Tecnología Agropecuaria
repository.name.fl_str_mv INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
repository.mail.fl_str_mv tripaldi.nicolas@inta.gob.ar
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