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<article language="en">
	<journal>
		<journal_title>Ocean Science</journal_title>
		<journal_url>www.ocean-sci.net</journal_url>
		<issn>1812-0784</issn>
		<eissn>1812-0792</eissn>
		<volume_number>6</volume_number>
		<issue_number>1</issue_number>
		<publication_year>2010</publication_year>
	</journal>
	<doi>10.5194/os-6-235-2010</doi>
	<article_url>http://www.ocean-sci.net/6/235/2010/</article_url>
	<abstract_html>http://www.ocean-sci.net/6/235/2010/os-6-235-2010.html</abstract_html>
	<fulltext_pdf>http://www.ocean-sci.net/6/235/2010/os-6-235-2010.pdf</fulltext_pdf>
	<start_page>235</start_page>
	<end_page>245</end_page>
	<publication_date>2010-02-17</publication_date>
	<article_title content_type="html">Assessment of sensor performance</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>C. Waldmann</name>
			<email>cwaldmann@marum.de</email>
		</author>
		<author numeration="2" affiliations="2">
			<name>M. Tamburri</name>
		</author>
		<author numeration="3" affiliations="3">
			<name>R. D. Prien</name>
		</author>
		<author numeration="4" affiliations="4">
			<name>P. Fietzek</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">Bremen University/MARUM, Bremen, Germany</affiliation>
		<affiliation numeration="2" content_type="html">Alliance for Coastal Technologies, University of Maryland Center for Environmental Science, USA</affiliation>
		<affiliation numeration="3" content_type="html">Leibniz Institute for Baltic Sea Research, Warnemuende, Germany</affiliation>
		<affiliation numeration="4" content_type="html">IFM-GEOMAR, Kiel, Germany</affiliation>
	</affiliations>
	<abstract content_type="html">There is an international commitment to develop a comprehensive,
coordinated and sustained ocean observation system. However, a
foundation for any observing, monitoring or research effort is
effective and reliable in situ sensor technologies that accurately
measure key environmental parameters. Ultimately, the data used for
modelling efforts, management decisions and rapid responses to ocean
hazards are only as good as the instruments that collect them. There
is also a compelling need to develop and incorporate new or novel
technologies to improve all aspects of existing observing systems
and meet various emerging challenges.
&lt;br&gt;&lt;br&gt;
Assessment of Sensor Performance was a cross-cutting issues session
at the international OceanSensors08 workshop in Warnemünde,
Germany, which also has penetrated some of the papers published as a
result of the workshop (Denuault, 2009; Kröger et al., 2009;
Zielinski et al., 2009). The discussions were focused on how best to
classify and validate the instruments required for effective and
reliable ocean observations and research. The following is a summary
of the discussions and conclusions drawn from this workshop, which
specifically addresses the characterisation of sensor systems,
technology readiness levels, verification of sensor performance and
quality management of sensor systems.</abstract>
	<references>
		<reference numeration="1" content_type="text"> % vor jede Referenz AMS Applied Microsystems: What is the difference between accuracy and precision?, online available at: http://www.appliedmicrosystems.com/Products/Services/Conductivity Calibration.aspx, 2008. </reference>
		<reference numeration="2" content_type="text"> Bacon, S., Culkin, F., Higgs, N., and Ridout, P.: IAPSO standard seawater: definition of the uncertainty in the calibration procedure and stability of recent batches, J. Atmos. Ocean. Tech., 24(10), 1785–1799, 2007. </reference>
		<reference numeration="3" content_type="text"> Bates, N. R., Merlivat, L., Beaumont, L., and Pequignet, A. C.: Intercomparison of shipboard and moored CARIOCA buoy seawater $f$CO measurements in the Sargasso Sea, Mar.Chem., 72, 239–255, 2000. </reference>
		<reference numeration="4" content_type="text"> Denuault, G.: Electrochemical techniques and sensors for ocean research, Ocean Sci. Discuss., 6, 1857–1893, 2009. </reference>
		<reference numeration="5" content_type="text"> Dickson, A. G., Sabine, C. L., and Christian, J. R. (eds.): Guide to best practices for ocean CO&lt;sub&gt;2&lt;/sub&gt; measurements, PICES Special Publication 3, 191~pp., online available at: http://cdiac.ornl.gov/oceans/Handbook 2007.html, 2007. </reference>
		<reference numeration="6" content_type="text"> Forchhammer, G.: On the composition of seawater in the different parts of the ocean, Philos. T. Roy. Soc. London, 155, 203–262, 1865. </reference>
		<reference numeration="7" content_type="text"> Gouretski, V. and Koltermann, K. P.: How much is the ocean really warming?, Geophys. Res. Lett., 34, L01610, doi:10.1029/2006GL027834, 2007. </reference>
		<reference numeration="8" content_type="text"> GUM ISO: ISO/IEC GUIDE 98-3:2008, Guide to the expression of uncertainty in measurement, International Organisation for Standardisation, Geneva, Switzerland, 2008. </reference>
		<reference numeration="9" content_type="text"> Hamon, B. V.: The effect of pressure on the electrical conductivity of seawater, J. Mar. Res., 16, 83–89, 1958. </reference>
		<reference numeration="10" content_type="text"> IFREMER: http://www.ifremer.fr/dtmsi/anglais/moyens essais/etalonnage metrolog.htm, last access: 30 July 2009. </reference>
		<reference numeration="11" content_type="text"> ISO: ISO/IEC 17025:2005, General requirements for the competence of testing and calibration laboratories, International Organisation for Standardisation, Geneva, Switzerland, 2005. </reference>
		<reference numeration="12" content_type="text"> Janzen, C., Larson, N., Beed, R., and Anson, K.: Accuracy and stability of Argo SBE 41 and SBE 41CP CTD conductivity and temperature sensors, SEABIRD Technical paper, online available at: http://www.seabird.com/technical_references/paperindex.htm, 2008. </reference>
		<reference numeration="13" content_type="text"> Kirkup, L. and Frenkel, B.: An Introduction to Uncertainty in Measurement, Cambridge University Press, 2006. </reference>
		<reference numeration="14" content_type="text"> Kohlrausch, F.: Praktische Physik 1, 22nd edn., B. G. Teubner, Stuttgart, 1968. </reference>
		<reference numeration="15" content_type="text"> Kröger, S., Parker, E. R., Metcalfe, J. D., Greenwood, N., Forster, R. M., Sivyer, D. B., and Pearce, D. J.: Sensors for observing ecosystem status, Ocean Sci., 5, 523–535, 2009. </reference>
		<reference numeration="16" content_type="text"> Mankins, J. C.: Technology Readiness Levels: A White Paper, Advanced Concept Office, Office of Space Access and Technology, NASA, USA, 2005. </reference>
		<reference numeration="17" content_type="text"> Millero, F. J., Feistel, R., Wright, D. G., and McDougall, T. J.: The composition of standard seawater and the definition of the reference-composition salinity scale, Deep-Sea Res. I, 55, 50–72, 2008. </reference>
		<reference numeration="18" content_type="text"> MMI project: http://marinemetadata.org, last access: 30 July 2009. </reference>
		<reference numeration="19" content_type="text"> NIST: NIST technical note 1297. Guidelines for evaluating and expressing the uncertainty of NIST measurement results, 1994. </reference>
		<reference numeration="20" content_type="text"> Pouliquen, S., Schmid, C., Wong, A., Guinehut, S., and Belbeoch, M.: Argo Data Management, Community White Paper, OceanObs&apos;09 conference, Venice, September 2009. </reference>
		<reference numeration="21" content_type="text"> Q2O project: http://q2o.whoi.edu/, last access: 30 July 2009. </reference>
		<reference numeration="22" content_type="text"> QARTOD project: http://nautilus.baruch.sc.edu/twiki/bin/view, last access: 30 July 2009. </reference>
		<reference numeration="23" content_type="text"> QUASIMEME project: http://www.quasimeme.org/nl/25222726-Home.html, last access: 30 July 2009. </reference>
		<reference numeration="24" content_type="text"> Riebesell, U., Fabry, V. J., and Gattuso, J.-P. (eds.): Guide to Best Practices in Ocean Acidification Research and Data Reporting, European Project on Ocean Acidification, online available at: http://www.epoca-project.eu/index.php/Home/Guide-to-OA-Research/, 2009. </reference>
		<reference numeration="25" content_type="text"> Saunders, P., Mahrt, K., and Williams, R.: Standards and laboratory calibrations, in: WOCE Operations Manual, Part 3.1.3: WHP Operations and Methods, WOCE Hydrographic Programme Office, Woods Hole Oceanographic Institution, Woods Hole, Mass., USA, July 1991. </reference>
		<reference numeration="26" content_type="text"> Sullivan, D. B.: Time and frequency measurement at NIST: The first 100 years, Proc. 2001 IEEE Frequency Control Symposium, 4–17, June 2001. </reference>
		<reference numeration="27" content_type="text"> UNESCO: Technical papers in marine science. The acquisition, calibration and analysis of CTD data, No 54, 1994. </reference>
		<reference numeration="28" content_type="text"> VIM ISO: ISO/IEC GUIDE 99:2007(E/F), International vocabulary of metrology – basic and general concepts and associated terms (VIM), 2007. </reference>
		<reference numeration="29" content_type="text"> WHOI: http://www.whoi.edu/page.do?pid=10360, last access: 30 July 2009. </reference>
		<reference numeration="30" content_type="text"> Zielinski, O., Busch, J. A., Cembella, A. D., Daly, K. L., Engelbrektsson, J., Hannides, A. K., and Schmidt, H.: Detecting marine hazardous substances and organisms: sensors for pollutants, toxins, and pathogens, Ocean Sci., 5, 329–349, 2009. </reference>
	</references>
</article>

