Maximum Entropy Production Principle;
Last Glacial Maximum;
Net Exchange Formulation;
Climate Thermodynamics;
RADIATIVE-CONVECTIVE EQUILIBRIUM;
PRODUCTION PRINCIPLE;
INFORMATION-THEORY;
HEAT-TRANSPORT;
PART I;
ATMOSPHERE;
MODEL;
THERMODYNAMICS;
BUDGET;
SENSITIVITY;
D O I:
10.1002/qj.832
中图分类号:
P4 [大气科学(气象学)];
学科分类号:
0706 ;
070601 ;
摘要:
The Earth, like other planets with a relatively thick atmosphere, is not locally in radiative equilibrium and the transport of energy by the geophysical fluids (atmosphere and ocean) plays a fundamental role in determining its climate. Using simple energy-balance models, it was suggested a few decades ago that the meridional energy fluxes might follow a thermodynamic Maximum Entropy Production (MEP) principle. In the present study, we assess the MEP hypothesis in the framework of a minimal climate model based solely on a robust radiative scheme and the MEP principle, with no extra assumptions. Specifically, we show that by choosing an adequate radiative exchange formulation, the Net Exchange Formulation, a rigorous derivation of all the physical parameters can be performed. The MEP principle is also extended to surface energy fluxes, in addition to meridional energy fluxes. The climate model presented here is extremely fast, needs very little empirical data and does not rely on ad hoc parameterizations. We investigate its range of validity by comparing its performances for pre-industrial climate and Last Glacial Maximum climate with corresponding simulations with the IPSL coupled atmosphere-ocean General Circulation Model IPSL CM4, finding reasonable agreement. Beyond the practical interest of this result for climate modelling, it supports the idea that, to a certain extent, climate can be characterized by macroscale features with no need to compute the underlying microscale dynamics. Copyright (C) 2011 Royal Meteorological Society
机构:
CUNY, Coll Staten Isl, Staten Isl, NY 10314 USA
Columbia Univ, Lamont Doherty Earth Observ, Palisades, NY 10964 USACUNY, Coll Staten Isl, Staten Isl, NY 10314 USA
Koutavas, Athanasios
Joanidis, Stephan
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机构:
CUNY, Coll Staten Isl, Staten Isl, NY 10314 USACUNY, Coll Staten Isl, Staten Isl, NY 10314 USA
机构:
Columbia Univ, NASA, Goddard Inst Space Studies, New York, NY 10025 USAColumbia Univ, NASA, Goddard Inst Space Studies, New York, NY 10025 USA
Rind, D.
Lerner, J.
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机构:
Columbia Univ, Ctr Climate Syst Res, New York, NY 10025 USAColumbia Univ, NASA, Goddard Inst Space Studies, New York, NY 10025 USA
Lerner, J.
McLinden, C.
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机构:
Environm Canada, Toronto, ON M3H 5T4, CanadaColumbia Univ, NASA, Goddard Inst Space Studies, New York, NY 10025 USA
McLinden, C.
Perlwitz, J.
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机构:
Columbia Univ, NASA, Goddard Inst Space Studies, New York, NY 10025 USA
Columbia Univ, Dept Appl Phys & Appl Math, New York, NY 10025 USAColumbia Univ, NASA, Goddard Inst Space Studies, New York, NY 10025 USA