Comparison of chlorophyll in the Red Sea derived from MODIS-Aqua and in vivo fluorescence

Handle URI:
http://hdl.handle.net/10754/562922
Title:
Comparison of chlorophyll in the Red Sea derived from MODIS-Aqua and in vivo fluorescence
Authors:
Brewin, Robert J W; Raitsos, Dionysios E.; Pradhan, Yaswant; Hoteit, Ibrahim ( 0000-0002-3751-4393 )
Abstract:
The Red Sea is a unique marine environment but relatively unexplored. The only available long-term biological dataset at large spatial and temporal scales is remotely-sensed chlorophyll observations (an index of phytoplankton biomass) derived using satellite measurements of ocean colour. Yet such observations have rarely been compared with in situ data in the Red Sea. In this paper, satellite chlorophyll estimates in the Red Sea from the MODIS instrument onboard the Aqua satellite are compared with three recent cruises of in vivo fluorometric chlorophyll measurements taken in October 2008, March 2010 and September to October 2011. The performance of the standard NASA chlorophyll algorithm, and that of a new band-difference algorithm, is found to be comparable with other oligotrophic regions in the global ocean, supporting the use of satellite ocean colour in the Red Sea. However, given the unique environmental conditions of the study area, regional algorithms are likely to fare better and this is demonstrated through a simple adjustment to the band-difference algorithm. © 2013 Elsevier Inc.
KAUST Department:
Earth Science and Engineering Program; Physical Sciences and Engineering (PSE) Division; Environmental Science and Engineering Program; Earth Fluid Modeling and Prediction Group
Publisher:
Elsevier BV
Journal:
Remote Sensing of Environment
Issue Date:
Sep-2013
DOI:
10.1016/j.rse.2013.04.018
Type:
Article
ISSN:
00344257
Sponsors:
The authors would like to thank the captains and the crews of the RN "Aegaeo" of the Hellenic Centre for Marine Research (HCMR), and of the RN "Oceanus" from the Woods Hole Oceanographic Institution (WHOI), who made the data collection possible. We thank in particular Leah Trafford and Amy Bower for their assistance on the cruise data used in this study. We thank Shubha Sathyendranath and Chuanmin Hu for suggestions on an earlier version of the manuscript and two anonymous reviewers for their useful comments. This research was supported by the King Abdullah University for Science and Technology (KAUST), Kingdom of Saudi Arabia and the UK National Centre for Earth Observation, and is a contribution to the Ocean Colour Climate Change Initiative of the European Space Agency (ESA).
Appears in Collections:
Articles; Environmental Science and Engineering Program; Physical Sciences and Engineering (PSE) Division; Earth Science and Engineering Program

Full metadata record

DC FieldValue Language
dc.contributor.authorBrewin, Robert J Wen
dc.contributor.authorRaitsos, Dionysios E.en
dc.contributor.authorPradhan, Yaswanten
dc.contributor.authorHoteit, Ibrahimen
dc.date.accessioned2015-08-03T11:15:37Zen
dc.date.available2015-08-03T11:15:37Zen
dc.date.issued2013-09en
dc.identifier.issn00344257en
dc.identifier.doi10.1016/j.rse.2013.04.018en
dc.identifier.urihttp://hdl.handle.net/10754/562922en
dc.description.abstractThe Red Sea is a unique marine environment but relatively unexplored. The only available long-term biological dataset at large spatial and temporal scales is remotely-sensed chlorophyll observations (an index of phytoplankton biomass) derived using satellite measurements of ocean colour. Yet such observations have rarely been compared with in situ data in the Red Sea. In this paper, satellite chlorophyll estimates in the Red Sea from the MODIS instrument onboard the Aqua satellite are compared with three recent cruises of in vivo fluorometric chlorophyll measurements taken in October 2008, March 2010 and September to October 2011. The performance of the standard NASA chlorophyll algorithm, and that of a new band-difference algorithm, is found to be comparable with other oligotrophic regions in the global ocean, supporting the use of satellite ocean colour in the Red Sea. However, given the unique environmental conditions of the study area, regional algorithms are likely to fare better and this is demonstrated through a simple adjustment to the band-difference algorithm. © 2013 Elsevier Inc.en
dc.description.sponsorshipThe authors would like to thank the captains and the crews of the RN "Aegaeo" of the Hellenic Centre for Marine Research (HCMR), and of the RN "Oceanus" from the Woods Hole Oceanographic Institution (WHOI), who made the data collection possible. We thank in particular Leah Trafford and Amy Bower for their assistance on the cruise data used in this study. We thank Shubha Sathyendranath and Chuanmin Hu for suggestions on an earlier version of the manuscript and two anonymous reviewers for their useful comments. This research was supported by the King Abdullah University for Science and Technology (KAUST), Kingdom of Saudi Arabia and the UK National Centre for Earth Observation, and is a contribution to the Ocean Colour Climate Change Initiative of the European Space Agency (ESA).en
dc.publisherElsevier BVen
dc.subjectChlorophyllen
dc.subjectComparisonen
dc.subjectOcean colouren
dc.subjectPhytoplanktonen
dc.subjectRed Seaen
dc.subjectRemote sensingen
dc.titleComparison of chlorophyll in the Red Sea derived from MODIS-Aqua and in vivo fluorescenceen
dc.typeArticleen
dc.contributor.departmentEarth Science and Engineering Programen
dc.contributor.departmentPhysical Sciences and Engineering (PSE) Divisionen
dc.contributor.departmentEnvironmental Science and Engineering Programen
dc.contributor.departmentEarth Fluid Modeling and Prediction Groupen
dc.identifier.journalRemote Sensing of Environmenten
dc.contributor.institutionPlymouth Marine Laboratory (PML), Prospect Place, The Hoe, Plymouth PL1 3DH, United Kingdomen
dc.contributor.institutionNational Centre for Earth Observation, PML, Plymouth PL1 3DH, United Kingdomen
dc.contributor.institutionMet Office, FitzRoy Road, Exeter EX1 3PB, United Kingdomen
kaust.authorRaitsos, Dionysios E.en
kaust.authorHoteit, Ibrahimen
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