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Inter-comparison of OC-CCI chlorophyll-a estimates with precursor data sets

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dc.contributor.authorBelo Couto, André
dc.contributor.authorBrotas, Vanda
dc.contributor.authorMélin, Frédéric
dc.contributor.authorGroom, Steve
dc.contributor.authorSathyendranath, Shubha
dc.date.accessioned2020-01-19T14:23:57Z
dc.date.available2020-01-19T14:23:57Z
dc.date.issued2016
dc.description.abstractOcean colour is the only essential climate variable that targets a biological variable (chlorophyll-a concentration (chl-a)) and is also amenable to remote sensing at the global scale. However, the finite lifetime of individual ocean-colour sensors, and the differences in their characteristics increase the difficulty of creating a long-term, consistent, ocean-colour time series that meets the requirements of climate studies. The Ocean Colour Climate Change Initiative (OC-CCI), a European Space Agency programme, has recently produced a time series of satellite-based ocean-colour products at the global scale, merging data from three sensors: Sea-viewing Wide Field-of-view Sensor (SeaWiFS), Moderate Resolution Imaging Spectroradiometer on the Aqua Earth Observing System (MODIS-Aqua), and Medium Resolution Imaging Spectrometer (MERIS), while attempting to reduce inter-sensor biases.In this work we present a comparison between the OC-CCI chlorophyll-a product and precursor satellite-derived data sets, from both single missions (SeaWiFS, MODIS-Aqua, and MERIS) and multi-mission products (global ocean colour (GlobColour) and Making Earth Science Data Records for Use in Research Environments (MEaSUREs)). To this end, OC-CCI global monthly composites are compared to the similar products offered by single-mission and multi-mission records. Our results indicate that the OC-CCI product provides a higher number of observations. Comparing the observations that match with precursors, the OC-CCI product was generally most similar to the single-mission products. Relationships between OC-CCI and other precursors did not change significantly during a common and continuous period, and, on average the root-mean-square differences between log-transformed chlorophyll-a concentration are below or equal to 0.11. Further, when considering variability that could arise when merging data from different sources, it is shown that the OC-CCI product is a longer term constant than those from other multi-mission initiatives studied here.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1080/01431161.2016.1209313pt_PT
dc.identifier.issn0143-1161
dc.identifier.urihttp://hdl.handle.net/10451/41028
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.titleInter-comparison of OC-CCI chlorophyll-a estimates with precursor data setspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage4355pt_PT
oaire.citation.issue18pt_PT
oaire.citation.startPage4337pt_PT
oaire.citation.titleInternational Journal of Remote Sensingpt_PT
oaire.citation.volume37pt_PT
person.familyNameBelo Couto
person.familyNameBrotas
person.givenNameAndré
person.givenNameVanda
person.identifier418368
person.identifier.ciencia-id8E1C-3DB2-13FD
person.identifier.orcid0000-0002-2066-2277
person.identifier.orcid0000-0001-8612-4167
person.identifier.ridA-2410-2012
person.identifier.scopus-author-id53979636700
person.identifier.scopus-author-id6602078736
rcaap.rightsrestrictedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication2120e86a-6fa6-45c2-82a8-ba878ec5cbca
relation.isAuthorOfPublicatione0a1924d-aefc-4c25-a932-1f7602f55b53
relation.isAuthorOfPublication.latestForDiscovery2120e86a-6fa6-45c2-82a8-ba878ec5cbca

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