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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>4</issue_number>
		<publication_year>2006</publication_year>
	</journal>
	<doi>10.5194/acpd-6-6723-2006</doi>
	<article_url>http://www.atmos-chem-phys-discuss.net/6/6723/2006/</article_url>
	<abstract_html>http://www.atmos-chem-phys-discuss.net/6/6723/2006/acpd-6-6723-2006.html</abstract_html>
	<fulltext_pdf>http://www.atmos-chem-phys-discuss.net/6/6723/2006/acpd-6-6723-2006.pdf</fulltext_pdf>
	<start_page>6723</start_page>
	<end_page>6751</end_page>
	<publication_date>2006-07-18</publication_date>
	<article_title content_type="html">Elimination of hidden a priori information from remotely sensed profile data</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>T. von Clarmann</name>
		</author>
		<author numeration="2" affiliations="1">
			<name>U. Grabowski</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">Profiles of atmospheric state parameters retrieved from
remote measurements often contain a priori information
which causes complication in the use of data for
validation, comparison with models, or data assimilation.
For such applications it often is desirable to remove the
a priori information from the data product. If the retrieval
involves an ill-posed inversion problem, formal removal of
the a priori information requires resampling of the data
on a coarser grid, which, however, is a prior constraint
in itself.
The fact that the trace of the averaging
kernel matrix of a retrieval is equivalent to the number of degrees
of freedom of the retrieval is used to define an appropriate
information-centered representation of the data where each
data point represents one degree of freedom. Since regridding
implies further degradation of the data and thus causes
additional loss of information, a re-regularization scheme
has been developed which allows resampling without
additional loss of information. For a typical ClONO&lt;sub&gt;2&lt;/sub&gt;
profile retrieved from spectra as measured by the Michelson
Interferometer for Passive Atmospheric Sounding (MIPAS),
the constrained retrieval has 9.7 degrees of freedom.
After application of the proposed transformation to a coarser
information-centered altitude grid, there are exactly 9 degrees
of freedom left, and the averaging kernel on the coarse grid is
unity. Pure resampling on the information-centered grid without
re-regularization would reduce the degrees of freedom to 7.1.</abstract>
	<references>
	</references>
</article>

