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<!DOCTYPE article SYSTEM "http://www.atmos-chem-phys-discuss.net/inc/acpd/copernicus.dtd">
<article language="en">
	<journal>
		<journal_title>Atmospheric Chemistry and Physics Discussions</journal_title>
		<journal_url>www.atmos-chem-phys-discuss.net</journal_url>
		<issn>1680-7367</issn>
		<eissn>1680-7375</eissn>
		<volume_number>6</volume_number>
		<issue_number>3</issue_number>
		<publication_year>2006</publication_year>
	</journal>
	<doi>10.5194/acpd-6-4973-2006</doi>
	<article_url>http://www.atmos-chem-phys-discuss.net/6/4973/2006/</article_url>
	<abstract_html>http://www.atmos-chem-phys-discuss.net/6/4973/2006/acpd-6-4973-2006.html</abstract_html>
	<fulltext_pdf>http://www.atmos-chem-phys-discuss.net/6/4973/2006/acpd-6-4973-2006.pdf</fulltext_pdf>
	<start_page>4973</start_page>
	<end_page>4994</end_page>
	<publication_date>2006-06-20</publication_date>
	<article_title content_type="html">Validation of remotely sensed profiles of atmospheric state variables: strategies and terminology</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>T. von Clarmann</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">Forschungszentrum Karlsruhe, Institut für Meteorologie und Klimaforschung, Karlsruhe, Germany</affiliation>
	</affiliations>
	<abstract content_type="html">This technical note summarizes and classifies the
various approaches to validation of remote measurements
of atmospheric state variables, and tries to recommend a
clear and unambiguous terminology. The following approaches
have been identified: Intercomparison of single profiles for
accuracy validation; statistical comparison of matched pairs
of measurements with respect to bias determination and precision
validation; statistical intercomparison of randomly sampled
measurements by two instruments, and comparison of a single
measurement to an ensemble of measurements. Applicable statistics
are shortly reviewed, and recipes for evaluation of the
co-incidence error due to less than perfect co-incidences are presented.
A rigorous approach is suggested to quantitatively validate profile
measurements when full covariance matrices are unavailable. We
distinguish between &apos;&apos;necessary validation&apos;&apos; which is rejection
of the null hypothesis that a difference between two measurements
is significant, and &apos;&apos;sufficient validation&apos;&apos; which means to provide
evidence that the probability that there is a significant
difference is definitely small.</abstract>
	<references>
	</references>
</article>

