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<article language="en">
	<journal>
		<journal_title>Climate of the Past Discussions</journal_title>
		<journal_url>www.clim-past-discuss.net</journal_url>
		<issn>1814-9340</issn>
		<eissn>1814-9359</eissn>
		<volume_number>4</volume_number>
		<issue_number>4</issue_number>
		<publication_year>2008</publication_year>
	</journal>
	<doi>10.5194/cpd-4-955-2008</doi>
	<article_url>http://www.clim-past-discuss.net/4/955/2008/</article_url>
	<abstract_html>http://www.clim-past-discuss.net/4/955/2008/cpd-4-955-2008.html</abstract_html>
	<fulltext_pdf>http://www.clim-past-discuss.net/4/955/2008/cpd-4-955-2008.pdf</fulltext_pdf>
	<start_page>955</start_page>
	<end_page>979</end_page>
	<publication_date>2008-08-19</publication_date>
	<article_title content_type="html">Can we reconstruct Arctic sea ice back to 1900 with a hybrid approach?</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>S. Brönnimann</name>
			<email>broennimann@env.ethz.ch</email>
		</author>
		<author numeration="2" affiliations="1">
			<name>T. Lehmann</name>
		</author>
		<author numeration="3" affiliations="1">
			<name>T. Griesser</name>
		</author>
		<author numeration="4" affiliations="1">
			<name>T. Ewen</name>
		</author>
		<author numeration="5" affiliations="1">
			<name>A. N. Grant</name>
		</author>
		<author numeration="6" affiliations="1">
			<name>R. Bleisch</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">Institute for Atmospheric and Climate Science, ETH Zürich, Switzerland</affiliation>
	</affiliations>
	<abstract content_type="html">The variability and trend of Arctic sea ice since the mid 1970s is well
documented and linked to rising temperatures. However, much less is known
for the first half of the 20th century, when the Arctic also underwent
a period of strong warming. For studying this period in atmospheric models,
gridded sea ice data are needed as boundary conditions. Current data sets
(e.g., HadISST) provide a historical climatology, but may not be suitable
when interannual-to-decadal variability is important, as they are
interpolated and relaxed towards a (historical) climatology to fill in gaps,
particularly in winter. Regional historical sea ice information exhibits
considerable variability on interannnual-to-decadal scales, but is only
available for summer and not in gridded form. Combining the advantages of
both types of information could be used to constrain model simulations in a
more realistic way. Here we discuss the feasibility of reconstructing
year-round gridded Arctic sea ice from 1900 to 1953 from historical
information and a coupled climate model. We decompose sea ice variability
into centennial (due to climate forcings), decadal (coupled processes in the
ocean-sea ice system) and interannual time scales (atmospheric circulation).
The three time scales are represented by a historical climatology from
HadISST (centennial), a closest analogue approach using the coupled control
run of the CCSM-3.0 model (decadal), and a statistical reconstruction based
on high-pass filtered data (interannual variability), respectively. Results
show that differences in the model climatology, the length of the control
run, and inconsistent historical data strongly limit the quality of the
product. However, with more realistic and longer simulations becoming
available in the future as well as with improved historical data, useful
reconstructions are possible. We suggest that hybrid approaches, using both
statistical reconstruction methods and numerical models, may find wider
applications in the future.</abstract>
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</article>

