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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>6</issue_number>
		<publication_year>2006</publication_year>
	</journal>
	<doi>10.5194/acpd-6-11957-2006</doi>
	<article_url>http://www.atmos-chem-phys-discuss.net/6/11957/2006/</article_url>
	<abstract_html>http://www.atmos-chem-phys-discuss.net/6/11957/2006/acpd-6-11957-2006.html</abstract_html>
	<fulltext_pdf>http://www.atmos-chem-phys-discuss.net/6/11957/2006/acpd-6-11957-2006.pdf</fulltext_pdf>
	<start_page>11957</start_page>
	<end_page>11970</end_page>
	<publication_date>2006-11-24</publication_date>
	<article_title content_type="html">Technical Note: Long-term memory effect in the atmospheric CO&lt;sub&gt;2&lt;/sub&gt; concentration at Mauna Loa</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>C. Varotsos</name>
		</author>
		<author numeration="2" affiliations="1">
			<name>M.-N. Assimakopoulos</name>
		</author>
		<author numeration="3" affiliations="1">
			<name>M. Efstathiou</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">Department of Applied Physics, University of Athens, Panepistimiopolis, Bldg Phys. 5, 157 84, Athens, Greece</affiliation>
	</affiliations>
	<abstract content_type="html">The monthly mean values of the atmospheric carbon dioxide concentration
derived from in-situ air samples collected at Mauna Loa Observatory, Hawaii,
during 1958&amp;ndash;2004 (the longest continuous record available in the world)
are analyzed by employing the detrended fluctuation analysis to detect
scaling behavior in this time series. The main result is that the fluctuations of
carbon dioxide concentrations exhibit long-range power-law correlations (long memory)
with lag times ranging from four months to eleven years, which correspond to 1/f noise.
This result indicates that
random perturbations in the carbon dioxide concentrations give rise to
noise, characterized by a frequency spectrum following a power-law
with exponent that approaches to one; the latter shows that the correlation
times grow strongly. This feature is pointing out that a correctly rescaled
subset of the original time series of the carbon dioxide concentrations
resembles the original time series. Finally, the power-law relationship
derived from the real measurements of the carbon dioxide concentrations
could also serve as a tool to improve the confidence of the atmospheric
chemistry-transport and global climate models.</abstract>
	<references>
	</references>
</article>

