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	<journal>
		<journal_title>Biogeosciences</journal_title>
		<journal_url>www.biogeosciences.net</journal_url>
		<issn>1726-4170</issn>
		<eissn>1726-4189</eissn>
		<volume_number>6</volume_number>
		<issue_number>5</issue_number>
		<publication_year>2009</publication_year>
	</journal>
	<doi>10.5194/bg-6-751-2009</doi>
	<article_url>http://www.biogeosciences.net/6/751/2009/</article_url>
	<abstract_html>http://www.biogeosciences.net/6/751/2009/bg-6-751-2009.html</abstract_html>
	<fulltext_pdf>http://www.biogeosciences.net/6/751/2009/bg-6-751-2009.pdf</fulltext_pdf>
	<start_page>751</start_page>
	<end_page>764</end_page>
	<publication_date>2009-05-06</publication_date>
	<article_title content_type="html">Quantitative observation of cyanobacteria and diatoms from space using PhytoDOAS on SCIAMACHY data</article_title>
	<authors>
		<author numeration="1" affiliations="1,2">
			<name>A. Bracher</name>
			<email>astrid.bracher@awi.de</email>
		</author>
		<author numeration="2" affiliations="2">
			<name>M. Vountas</name>
		</author>
		<author numeration="3" affiliations="2">
			<name>T. Dinter</name>
		</author>
		<author numeration="4" affiliations="2,3">
			<name>J. P. Burrows</name>
		</author>
		<author numeration="5" affiliations="4">
			<name>R. Röttgers</name>
		</author>
		<author numeration="6" affiliations="1,5">
			<name>I. Peeken</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">Alfred-Wegener-Institute for Polar and Marine Research, Bussestr. 24, 27570 Bremerhaven, Germany</affiliation>
		<affiliation numeration="2" content_type="html">Institute of Environmental Physics, University of Bremen, Otto-Hahn-Allee 1, 28359 Bremen, Germany</affiliation>
		<affiliation numeration="3" content_type="html">currently at: Centre for Ecology and Hydrology Maclean Building, Benson Lane, Crowmarsh Gifford, Wallingford, Oxfordshire, OX10 8BB, UK</affiliation>
		<affiliation numeration="4" content_type="html">Institute of Coastal Research, GKSS Research Center Geesthacht, Max-Planck.Strasse 1, 21502 Geesthacht, Germany</affiliation>
		<affiliation numeration="5" content_type="html">MARUM – Center for Marine Environmental Sciences, Bremen, Germany</affiliation>
	</affiliations>
	<abstract content_type="html">In this study the technique of Differential Optical Absorption Spectroscopy
(DOAS) has been adapted for the retrieval of the absorption and biomass of
two major phytoplankton groups (PhytoDOAS) from data of the Scanning Imaging
Absorption Spectrometer for Atmospheric Chartography (SCIAMACHY) satellite
sensor. SCIAMACHY measures back scattered solar radiation in the UV-Vis-NIR
spectral regions with a high spectral resolution (0.2 to 1.5 nm). In order
to identify phytoplankton absorption characteristics in the SCIAMACHY data in
the range of 430 to 500 nm, phytoplankton absorption spectra measured
in-situ during two different RV &quot;Polarstern&quot; expeditions were used. The
two spectra have been measured in different ocean regions where different
phytoplankton groups (cyanobacteria and diatoms) dominated the phytoplankton
composition. Results clearly show distinct absorption characteristics of the
two phytoplankton groups in the SCIAMACHY spectra. Using these results in
addition to calculations of the light penetration depth derived from DOAS
retrievals of the inelastic scattering (developed by Vountas et al., 2007),
globally distributed pigment concentrations for these characteristic
phytoplankton groups for two monthly periods (February–March 2004 and October–November 2005)
were determined. This satellite information on cyanobacteria and diatoms
distribution clearly matches the concentrations based on high pressure liquid
chromatography (HPLC) pigment analysis of collocated water samples and
concentrations derived from a global model analysis with the NASA Ocean
Biogeochemical Model (Gregg et al., 2003; Gregg and Casey 2007). The
quantitative assessment of the distribution of key phytoplankton groups from
space enables various biogeochemical regions to be distinguished and will
be of great importance for the global modeling of marine ecosystems and
biogeochemical cycles which enables the impact of climate change in the
oceanic biosphere to be estimated.</abstract>
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