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http://hdl.handle.net/10261/140311
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Campo DC | Valor | Lengua/Idioma |
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dc.contributor.author | Bernardello, Raffaele | es_ES |
dc.contributor.author | Serrano, Eduard | es_ES |
dc.contributor.author | Coma, Rafael | es_ES |
dc.contributor.author | Ribes, Marta | es_ES |
dc.contributor.author | Bahamon, Nixon | es_ES |
dc.date.accessioned | 2016-11-16T12:57:51Z | - |
dc.date.available | 2016-11-16T12:57:51Z | - |
dc.date.issued | 2016 | - |
dc.identifier.citation | Marine Ecology Progress Series 559: 21-34 (2016) | - |
dc.identifier.issn | 0171-8630 | - |
dc.identifier.uri | http://hdl.handle.net/10261/140311 | - |
dc.description | 14 páginas, 5 tablas, 6 figuras. | es_ES |
dc.description.abstract | Remote sensing of sea surface temperature (SST) is widely used in climate science because it provides a quasi-synoptic coverage of the ocean. However, the use of these data for near-shore habitats is hindered by the proximity of the coast, therefore further investigation is needed. We compared remote-sensing SST from the MODIS sensor (aboard the Aqua satellite) to near-shore seawater temperature (ST) recorded in situ with data loggers at 5 locations in the western Mediterranean Sea. In situ ST data were collected at 5 m depth over a ~6 yr period and at depths below 5 m at 3 of the locations. We evaluated the suitability of MODIS to represent the temperature at shallow subtidal depths relative to different modes of variability. MODIS reproduced seasonal variability with high correlations (r > 0.98) and biases (0.59 ± 0.03°C) only slightly higher than the accuracy of the loggers (0.50°C). MODIS also captured interannual variability with no systematic biases. When evaluated for intra-seasonal temperature variability, MODIS showed limited biases (up to 0.79°C) with a tendency to overestimate the variability (between 4 and 64%) in both cold and warm seasons. Finally, MODIS over-/underestimated only the most extreme unseasonably cold/warm events (by 1.51 and −0.79°C, respectively). The observed limited differences between the 2 methods can be explained by the particular hydro dynamics of the area and by methodological constraints. Overall, MODIS SST data proved to be a reliable proxy for near-shore ST in the western Mediterranean Sea, and are thus considered suitable for studies requiring temperature reconstruction in shallow near-shore environments. | es_ES |
dc.description.sponsorship | The study was funded in part by the Spanish Government through CSI-Coral Project (CGL2013- 43106-R). This is a contribution from the Marine Biogeochemistry and Global Change research group funded by the Catalan Government (2014SGR1029). | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Inter Research | es_ES |
dc.relation.isversionof | Publisher's version | es_ES |
dc.rights | openAccess | en_EN |
dc.subject | Mediterranean Sea | es_ES |
dc.subject | Balearic Sea | es_ES |
dc.subject | MODIS-Aqua | es_ES |
dc.subject | Seawater temperature | es_ES |
dc.subject | Shallow-water ecosystems | es_ES |
dc.subject | Near-shore ecology | es_ES |
dc.title | A comparison of remote-sensing SST and in situ seawater temperature in near-shore habitats in the western Mediterra nean Sea | es_ES |
dc.type | artículo | es_ES |
dc.identifier.doi | 10.3354/meps11896 | - |
dc.description.peerreviewed | Peer reviewed | es_ES |
dc.relation.publisherversion | http://dx.doi.org/10.3354/meps11896 | es_ES |
dc.identifier.e-issn | 1616-1599 | - |
dc.embargo.terms | 2020-11-16 | es_ES |
dc.relation.csic | Sí | es_ES |
oprm.item.hasRevision | no ko 0 false | * |
dc.type.coar | http://purl.org/coar/resource_type/c_6501 | es_ES |
item.languageiso639-1 | en | - |
item.fulltext | With Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.cerifentitytype | Publications | - |
item.grantfulltext | open | - |
item.openairetype | artículo | - |
Aparece en las colecciones: | (ICM) Artículos (CEAB) Artículos |
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MEPS 2016.pdf | 1,51 MB | Adobe PDF | Visualizar/Abrir |
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