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<article language="en">
	<journal>
		<journal_title>Nonlinear Processes  in Geophysics</journal_title>
		<journal_url>www.nonlin-processes-geophys.net</journal_url>
		<issn>1023-5809</issn>
		<eissn>1607-7946</eissn>
		<volume_number>12</volume_number>
		<issue_number>1</issue_number>
		<publication_year>2005</publication_year>
	</journal>
	<doi>10.5194/npg-12-129-2005</doi>
	<article_url>http://www.nonlin-processes-geophys.net/12/129/2005/</article_url>
	<abstract_html>http://www.nonlin-processes-geophys.net/12/129/2005/npg-12-129-2005.html</abstract_html>
	<fulltext_pdf>http://www.nonlin-processes-geophys.net/12/129/2005/npg-12-129-2005.pdf</fulltext_pdf>
	<start_page>129</start_page>
	<end_page>138</end_page>
	<publication_date>2005-01-28</publication_date>
	<article_title content_type="html">Statistical characteristics of irreversible predictability time in regional ocean models</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>P. C. Chu</name>
		</author>
		<author numeration="2" affiliations="1,2">
			<name>L. M. Ivanov</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">Naval Ocean Analysis and Prediction Laboratory Department of Oceanography, Naval Postgraduate School Monterey, California, USA</affiliation>
		<affiliation numeration="2" content_type="html">Marine Hydrophysical Institute, Sevastopol, Ukraine</affiliation>
	</affiliations>
	<abstract content_type="html">Probabilistic aspects of regional ocean model predictability is analyzed
using the probability density function (PDF) of the irreversible
predictability time (IPT) (called &amp;tau;-PDF) computed from an
unconstrained ensemble of stochastic perturbations in initial conditions,
winds, and open boundary conditions. Two-attractors (a chaotic attractor and
a small-amplitude stable limit cycle) are found in the wind-driven
circulation. Relationship between attractor&apos;s residence time and IPT
determines the &amp;tau;-PDF for the short (up to several weeks) and
intermediate (up to two months) predictions. The &amp;tau;-PDF is usually
non-Gaussian but not multi-modal for red-noise perturbations in initial
conditions and perturbations in the wind and open boundary conditions.
Bifurcation of &amp;tau;-PDF occurs as the tolerance level varies. Generally,
extremely successful predictions (corresponding to the &amp;tau;-PDF&apos;s tail
toward large IPT domain) are not outliers and share the same statistics as a
whole ensemble of predictions.</abstract>
	<references>
	</references>
</article>

