The concentration of chlorophyll-a and its relationship with the sea surface temperature, through satellite images and in-situ data, in the bays of Sechura and Paita
Descripción del Articulo
The validation of the Sea Surface Temperature (SST) estimated from images of the MODIS and VIIRS sensors has been carried out, for the study area delimited between the longitudes of 83o - 80oW and latitudes of 3o - 7oS respectively, in the period from 2001 to 2016 with data from the SST in-situ. Lik...
| Autores: | , , |
|---|---|
| Formato: | artículo |
| Fecha de Publicación: | 2020 |
| Institución: | Universidad Nacional Mayor de San Marcos |
| Repositorio: | Revistas - Universidad Nacional Mayor de San Marcos |
| Lenguaje: | español |
| OAI Identifier: | oai:ojs.csi.unmsm:article/20313 |
| Enlace del recurso: | https://revistasinvestigacion.unmsm.edu.pe/index.php/fisica/article/view/20313 |
| Nivel de acceso: | acceso abierto |
| Materia: | TSM CCA Split Window MODIS VIIRS |
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The concentration of chlorophyll-a and its relationship with the sea surface temperature, through satellite images and in-situ data, in the bays of Sechura and Paita La concentración de la clorofila-a y su relación con la temperatura superficial del mar, mediante imágenes de satélite y datos in-situ, en las bahías de Sechura y Paita |
| title |
The concentration of chlorophyll-a and its relationship with the sea surface temperature, through satellite images and in-situ data, in the bays of Sechura and Paita |
| spellingShingle |
The concentration of chlorophyll-a and its relationship with the sea surface temperature, through satellite images and in-situ data, in the bays of Sechura and Paita Ramírez, Gilberto TSM CCA Split Window MODIS VIIRS TSM CCA Split Window MODIS VIIRS |
| title_short |
The concentration of chlorophyll-a and its relationship with the sea surface temperature, through satellite images and in-situ data, in the bays of Sechura and Paita |
| title_full |
The concentration of chlorophyll-a and its relationship with the sea surface temperature, through satellite images and in-situ data, in the bays of Sechura and Paita |
| title_fullStr |
The concentration of chlorophyll-a and its relationship with the sea surface temperature, through satellite images and in-situ data, in the bays of Sechura and Paita |
| title_full_unstemmed |
The concentration of chlorophyll-a and its relationship with the sea surface temperature, through satellite images and in-situ data, in the bays of Sechura and Paita |
| title_sort |
The concentration of chlorophyll-a and its relationship with the sea surface temperature, through satellite images and in-situ data, in the bays of Sechura and Paita |
| dc.creator.none.fl_str_mv |
Ramírez, Gilberto Rojas, Joel Carbonel, Carlos |
| author |
Ramírez, Gilberto |
| author_facet |
Ramírez, Gilberto Rojas, Joel Carbonel, Carlos |
| author_role |
author |
| author2 |
Rojas, Joel Carbonel, Carlos |
| author2_role |
author author |
| dc.subject.none.fl_str_mv |
TSM CCA Split Window MODIS VIIRS TSM CCA Split Window MODIS VIIRS |
| topic |
TSM CCA Split Window MODIS VIIRS TSM CCA Split Window MODIS VIIRS |
| description |
The validation of the Sea Surface Temperature (SST) estimated from images of the MODIS and VIIRS sensors has been carried out, for the study area delimited between the longitudes of 83o - 80oW and latitudes of 3o - 7oS respectively, in the period from 2001 to 2016 with data from the SST in-situ. Likewise, the monthly average data of the Concentration of Chlorophyll-a (CCA) and TSM VIIRS for the Sechura Bay, in the period from 2012 to 2018, have been related. The in-situ data of TSM are registered by IMARPE, (2000 - 2015). The daily and monthly CCA and TSM images for the study area are obtained from the Ocean Color portal. SeaDAS version 7.5.3 image processing software has been used on Linux Ubuntu 16.04 with netcdf format. The monthly averages of SST-MODIS and the in-situ SST at the Paita station present a correlation coefficient R = 0.96, so we can propose its use in models of oceanographic variables. According to the provisional climatological average of SST (2008-2015) for the bays of Sechura and Paita, the temperature values range between 19.5 °C and 22 °C, with a standard deviation of 0.26 °C. The frequency histogram of the climatological SST for Sechura Bay shows a bimodal distribution skewed to the right. The Split Window NLSST algorithm for MODIS and VIIRS overestimated the in-situ measurements of SST. Sechura Bay presents a significant positive correlation (R = 70.4%) between SST and CCA. It has been observed that the increase in temperature influences the increase in the CCA of the area. |
| publishDate |
2020 |
| dc.date.none.fl_str_mv |
2020-12-31 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
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article |
| status_str |
publishedVersion |
| dc.identifier.none.fl_str_mv |
https://revistasinvestigacion.unmsm.edu.pe/index.php/fisica/article/view/20313 10.15381/rif.v23i3.20313 |
| url |
https://revistasinvestigacion.unmsm.edu.pe/index.php/fisica/article/view/20313 |
| identifier_str_mv |
10.15381/rif.v23i3.20313 |
| dc.language.none.fl_str_mv |
spa |
| language |
spa |
| dc.relation.none.fl_str_mv |
https://revistasinvestigacion.unmsm.edu.pe/index.php/fisica/article/view/20313/16660 |
| dc.rights.none.fl_str_mv |
Derechos de autor 2020 Gilberto Ramírez, Joel Rojas, Carlos Carbonel https://creativecommons.org/licenses/by-nc-sa/4.0 info:eu-repo/semantics/openAccess |
| rights_invalid_str_mv |
Derechos de autor 2020 Gilberto Ramírez, Joel Rojas, Carlos Carbonel https://creativecommons.org/licenses/by-nc-sa/4.0 |
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openAccess |
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application/pdf |
| dc.publisher.none.fl_str_mv |
Universidad Nacional Mayor de San Marcos |
| publisher.none.fl_str_mv |
Universidad Nacional Mayor de San Marcos |
| dc.source.none.fl_str_mv |
Revista de Investigación de Física; Vol. 23 No. 3 (2020): 50th Anniversary of the EP of Mechanical Fluid Engineering; 49-53 Revista de Investigación de Física; Vol. 23 Núm. 3 (2020): 50 Aniversario de la EP de Ingeniería Mecánica de Fluidos; 49-53 1728-2977 1605-7724 reponame:Revistas - Universidad Nacional Mayor de San Marcos instname:Universidad Nacional Mayor de San Marcos instacron:UNMSM |
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Universidad Nacional Mayor de San Marcos |
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UNMSM |
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UNMSM |
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Revistas - Universidad Nacional Mayor de San Marcos |
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Revistas - Universidad Nacional Mayor de San Marcos |
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The concentration of chlorophyll-a and its relationship with the sea surface temperature, through satellite images and in-situ data, in the bays of Sechura and PaitaLa concentración de la clorofila-a y su relación con la temperatura superficial del mar, mediante imágenes de satélite y datos in-situ, en las bahías de Sechura y PaitaRamírez, GilbertoRojas, JoelCarbonel, CarlosTSMCCASplit WindowMODISVIIRSTSMCCASplit WindowMODISVIIRSThe validation of the Sea Surface Temperature (SST) estimated from images of the MODIS and VIIRS sensors has been carried out, for the study area delimited between the longitudes of 83o - 80oW and latitudes of 3o - 7oS respectively, in the period from 2001 to 2016 with data from the SST in-situ. Likewise, the monthly average data of the Concentration of Chlorophyll-a (CCA) and TSM VIIRS for the Sechura Bay, in the period from 2012 to 2018, have been related. The in-situ data of TSM are registered by IMARPE, (2000 - 2015). The daily and monthly CCA and TSM images for the study area are obtained from the Ocean Color portal. SeaDAS version 7.5.3 image processing software has been used on Linux Ubuntu 16.04 with netcdf format. The monthly averages of SST-MODIS and the in-situ SST at the Paita station present a correlation coefficient R = 0.96, so we can propose its use in models of oceanographic variables. According to the provisional climatological average of SST (2008-2015) for the bays of Sechura and Paita, the temperature values range between 19.5 °C and 22 °C, with a standard deviation of 0.26 °C. The frequency histogram of the climatological SST for Sechura Bay shows a bimodal distribution skewed to the right. The Split Window NLSST algorithm for MODIS and VIIRS overestimated the in-situ measurements of SST. Sechura Bay presents a significant positive correlation (R = 70.4%) between SST and CCA. It has been observed that the increase in temperature influences the increase in the CCA of the area.Se ha realizado la validación de la Temperatura de la Superficie del Mar (TSM) estimada desde imágenes de los sensores MODIS y VIIRS,para el área de estudio delimitados entre las longitudes de 83° - 80°O y latitudes de 3° - 7°S respectivamente, en el periodo de 2001 a 2016 con datos de la TSM in-situ.Asimismo, se ha relacionado los datos promedios mensuales de la Concentración de Clorofila-a (CCA) y TSM VIIRS para la bahía de Sechura, en el periodo de 2012 a 2018. Los datos in-situ de TSM son registrados por IMARPE, (2000-2015). Los datos imágenes de CCA y TSM diarias y mensuales para el área de estudio son obtenidas del portal Ocean Color. Se ha usado el software de procesamiento de imágenes SeaDAS versión 7.5.3 en Linux Ubuntu 16.04 con formato netcdf. Los promedios mensuales de TSM-MODIS y la TSM in-situ en la estación de Paita presenta un coeficiente de correlación R = 0.96, por lo que podemos plantear su uso en modelos de variables oceanográficos. Según el promedio climatológico provisional de TSM (2008-2015) para las bahías de Sechura y Paita, los valores de temperatura oscilan entre 19.5°C y 22°C, con desviación típica de 0.26°C. El histograma de frecuencia de la TSM climatológico para la bahía de Sechura presenta una distribución bimodal sesgada hacia la derecha. El algoritmo Split WindowNLSSTpara MODIS y VIIRS sobreestimaron las medidas in-situ de TSM.La bahía de Sechura presenta una correlación positiva significativa (R=70.4%) entre TSM y CCA. Se ha observado que el aumento de la temperatura influye en el incremento de la CCA de la zona.Universidad Nacional Mayor de San Marcos2020-12-31info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistasinvestigacion.unmsm.edu.pe/index.php/fisica/article/view/2031310.15381/rif.v23i3.20313Revista de Investigación de Física; Vol. 23 No. 3 (2020): 50th Anniversary of the EP of Mechanical Fluid Engineering; 49-53Revista de Investigación de Física; Vol. 23 Núm. 3 (2020): 50 Aniversario de la EP de Ingeniería Mecánica de Fluidos; 49-531728-29771605-7724reponame:Revistas - Universidad Nacional Mayor de San Marcosinstname:Universidad Nacional Mayor de San Marcosinstacron:UNMSMspahttps://revistasinvestigacion.unmsm.edu.pe/index.php/fisica/article/view/20313/16660Derechos de autor 2020 Gilberto Ramírez, Joel Rojas, Carlos Carbonelhttps://creativecommons.org/licenses/by-nc-sa/4.0info:eu-repo/semantics/openAccessoai:ojs.csi.unmsm:article/203132021-09-26T17:20:30Z |
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13.762376 |
Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
