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dc.contributor.authorPitarch, J
dc.contributor.authorvan der Woerd, HJ
dc.contributor.authorBrewin, RJW
dc.contributor.authorZielinski, O
dc.date.accessioned2019-08-07T12:04:37Z
dc.date.issued2019-06-26
dc.description.abstractThe Forel-Ule (FU) color comparator scale is the oldest set of optical water types (OWTs). This scale was originally developed for visual comparison and generated an immense amount of data, with hundreds of thousands of observations being gathered from the last 130 years. Since recently, the FU scale is also applicable to remote sensing data. This has been possible thanks to an optical characterization of the 21 FU colors in terms of the (x,y) CIE standards and new algorithms that convert remote-sensing reflectances (Rrs) from satellite-borne ocean color sensors to FU. Rrs-derived hue angle and FU have been recently applied with success in the assessment of color variability of lakes and specific shelf areas, but an evaluation over global oceanic waters is still missing. By clustering global climatological ESA-OC-CCI v2.0 Rrs with the derived FU, we obtain a set of Rrs to be used as optical water types (OWTs). Diffuse attenuation coefficient, Secchi disk depth and chlorophyll concentration are also associated to the FU classes. The angular distances of a given Rrs to the two nearest FU classes are proposed as simple and robust membership indexes, adding up to one. We also evaluate the advantages and limitations of FU and the hue angle as monitoring tools over the full marine range, from the most oligotrophic areas to the turbid and productive coastal zones. The first 7 FU indexes cover 99% of global surface waters. Unlike the hue angle, that resolves all spatio-temporal color variations, the FU scale is coarse as a monitoring tool for oligotrophic waters as all the subtropical gyres saturate to FU = 1, while the color of other seas varies across 2, 3 or even 4 FU classes. We illustrate the introduction of a new “zero” FU class that increases monitoring resolution at the blue end of the color range. Finally, we show how optical diversity varies across the color range and compare several sets of OWTs from a color perspective. Overall, we provide a valuable and self-consistent dataset that enhances the usefulness of the FU scale by converting it to useful information for the oceanographic community. This OWT scheme keeps the advantages of other datasets, like being useful to study ocean color product quality and characterize the uncertainties, but also allows to continue to monitor long-term change in optical diversity over the global ocean color. Integration into the optical modules of ecosystem models can help verify past simulations that predate the satellite age, through comparisons with in-situ FU data collected at the time.en_GB
dc.description.sponsorshipMinistry for Science and Culture of Lower Saxony, Germanyen_GB
dc.description.sponsorshipEuropean Space Agencyen_GB
dc.description.sponsorshipNational Centre for Earth Observationen_GB
dc.identifier.citationVol. 231, 111249en_GB
dc.identifier.doi10.1016/j.rse.2019.111249
dc.identifier.grantnumberVWZN3175en_GB
dc.identifier.urihttp://hdl.handle.net/10871/38277
dc.language.isoenen_GB
dc.publisherElsevieren_GB
dc.rights.embargoreasonUnder embargo until 26 June 2020 in compliance with publisher policy.en_GB
dc.rights© 2019 Elsevier Inc. This version is made available under the CC-BY-NC-ND 4.0 license: https://creativecommons.org/licenses/by-nc-nd/4.0/  en_GB
dc.titleOptical properties of Forel-Ule water types deduced from 15 years of global satellite ocean color observationsen_GB
dc.typeArticleen_GB
dc.date.available2019-08-07T12:04:37Z
dc.identifier.issn0034-4257
dc.descriptionThis is the author accepted manuscript. The final version is available from Elsevier via the DOI in this record.en_GB
dc.identifier.journalRemote Sensing of Environmenten_GB
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/en_GB
dcterms.dateAccepted2019-06-06
rioxxterms.versionAMen_GB
rioxxterms.licenseref.startdate2019-06-26
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2019-08-07T11:59:50Z
refterms.versionFCDAM
refterms.panelCen_GB


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© 2019 Elsevier Inc. This version is made available under the CC-BY-NC-ND 4.0 license: https://creativecommons.org/licenses/by-nc-nd/4.0/  
Except where otherwise noted, this item's licence is described as © 2019 Elsevier Inc. This version is made available under the CC-BY-NC-ND 4.0 license: https://creativecommons.org/licenses/by-nc-nd/4.0/