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			<titleStmt><title level='a'>The Maximum Entropy Production (MEP) Method for Modeling Surface Energy Budget – Theory and Applications to Arctic Regions</title></titleStmt>
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				<date>12/13/2019</date>
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					<idno type="par_id">10184229</idno>
					<idno type="doi"></idno>
					<title level='j'>Agu</title>
<idno>2346-6855</idno>
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					<author>Jingfeng. Wang</author><author>Husayn E. Sharif</author><author>Valeriy Y. Ivanov</author><author>Wenbo Zhou</author><author>Alexsey Sheshukov</author><author>Valeriy. Mazepa</author>
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			<abstract><ab><![CDATA[The Maximum Entropy Production (MEP) method for modeling surface energy budget has been developed and validated at local, regional and global scale including the Arctic regions. The MEP model has solid theoretical foundation built on the Bayesian probability theory, information theory, non-equilibrium thermodynamics and boundary layer turbulence theory. Its formulation has advantageous features including closing energy budget at any space-time scales, independence of moisture and temperature gradient, wind speed and surface roughness, and free of tunable empirical parameters. Application of the MEP model has been covering all types of land covers including Arctic permafrost tundra, sea ice and snow surfaces. Recent tests using field experimental observations suggest that the MEP model using fewer input data and model parameters is able to simulate surface energy budget accurately.  It is a more efficient alternative to the classical Penman-Monteith model of potential evapotranspiration. The MEP method has potential to influence the study of Arctic water-energy cycles and climate change.]]></ab></abstract>
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<div xmlns="http://www.tei-c.org/ns/1.0"><head>Goals</head><p>&#61607; Physically based for all types of surfaces (sea-ice, snow, vegetation, frozen ground)</p><p>&#61607; Closing energy budget at all space-time scales &#61607; Reducing model inputs and parameters &#61607; Using remote sensing data.</p><p>&#8226; Model Formulation with Maximum Entropy Production (MEP) Theory   yr -1 ) attributed to the increase of surface radiation energy and humidity.</p><p>&#8226; The trends of sensible heat flux are positive globally but statistically insignificant (0.18 &#177; 0.18 W m -2 yr -1 ).</p><p>&#8226; The ground heat flux over continents has positive trend (0.21 &#177; 0.16 W m -2 yr -1 ) during the model period driven by increase of surface radiation.</p><p>&#8226; The surplus surface radiation energy is mostly used to increase evapotranspiration.</p><p>&#8226; The sensible heat flux and surface temperature have opposite trends.</p></div></body>
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