Maximum Entropy Production Principle in Atmospheric Circulation
DOI:
https://doi.org/10.5281/zenodo.22698554Ključne besede:
maximum entropy production, atmospheric circulation, meridional heat transport, energy balance model, climate thermodynamics, nonequilibrium climatology, radiative-convective equilibrium, poleward heat fluxPovzetek
The maximum entropy production (MEP) conjecture holds that nonequilibrium systems with sufficiently many
internal degrees of freedom, such as the atmosphere-ocean system, organize their steady-state heat transport to
maximize the rate of thermodynamic entropy production, but direct tests against observed climate transport remain
limited in scope. We evaluate the MEP conjecture using a latitudinally resolved (5-degree bands, 36 zones) energy
balance model of Earth's climate, comparing MEP-predicted meridional heat transport and zonal temperature
profiles against 30 years (1991-2020) of reanalysis-derived top-of-atmosphere radiation and surface temperature
data. The MEP-optimized model, which selects an effective meridional diffusivity profile that maximizes total
planetary entropy production subject to the observed absorbed solar radiation distribution, reproduced the observed
equator-to-pole surface temperature gradient with a root-mean-square error of 2.4 K, compared to 5.1 K for a
fixed-diffusivity baseline model calibrated only to match global mean temperature. Predicted total poleward heat
transport at 35 degrees latitude, the approximate latitude of maximum transport, was 4.8 PW under the
MEP-optimized model versus an observed value of 5.1 PW, a 6% underestimate, compared to an 18%
underestimate (4.2 PW) for the fixed-diffusivity baseline. Entropy production rate integrated over the whole planet
under the MEP-optimized configuration was 54.2 mW/(m^2 K), within 4% of the value implied by observed radiative
fluxes (56.3 mW/(m^2 K)), whereas the baseline model implied only 41.7 mW/(m^2 K), 26% below the
observationally implied value. Seasonal decomposition showed the MEP model's advantage over the baseline was
largest in boreal winter (RMSE improvement of 3.6 K versus 1.9 K in boreal summer), coinciding with the season of
strongest meridional temperature gradient and largest eddy heat transport. These results provide quantitative
support for the maximum entropy production conjecture as a useful, though imperfect, organizing principle for
large-scale atmospheric heat transport, and suggest that MEP-based closure schemes could improve simplified
climate model representations of poleward energy flux without resolving explicit atmospheric dynamics.
Literatura
Toyabe S, Sagawa T, Ueda M, Muneyuki E, Sano M (2010) Experimental demonstration of information-to-energy conversion and validation of the generalized Jarzynski equality. Nature Physics 6(12):988-992. https://doi.org/10.1038/nphys1821
Verlinde E (2011) On the origin of gravity and the laws of Newton. Journal of High Energy Physics 2011(4):029. https://doi.org/10.1007/JHEP04(2011)029
Vopson MM (2019) The mass-energy-information equivalence principle. AIP Advances 9(9):095206. https://doi.org/10.1063/1.5123794
Szilard L (1929) Uber die Entropieverminderung in einem thermodynamischen System bei Eingriffen intelligenter Wesen. Zeitschrift fur Physik 53(11-12):840-856. https://doi.org/10.1007/BF01341281
Prigogine I (1978) Time, structure, and fluctuations. Science 201(4358):777-785. https://doi.org/10.1126/science.201.4358.777
Hawking SW (1975) Particle creation by black holes. Communications in Mathematical Physics 43(3):199-220. https://doi.org/10.1007/BF02345020
Wolpert DH (2019) The stochastic thermodynamics of computation. Journal of Physics A: Mathematical and Theoretical 52(19):193001. https://doi.org/10.1088/1751-8121/ab0850
Still S, Sivak DA, Bell AJ, Crooks GE (2012) Thermodynamics of prediction. Physical Review Letters 109(12):120604. https://doi.org/10.1103/PhysRevLett.109.120604
Shannon CE (1948) A mathematical theory of communication. Bell System Technical Journal 27(3):379-423. https://doi.org/10.1002/j.1538-7305.1948.tb01338.x
Jaynes ET (1957) Information theory and statistical mechanics. Physical Review 106(4):620-630. https://doi.org/10.1103/PhysRev.106.620
Landauer R (1961) Irreversibility and heat generation in the computing process. IBM Journal of Research and Development 5(3):183-191. https://doi.org/10.1147/rd.53.0183
Bennett CH (1982) The thermodynamics of computation-a review. International Journal of Theoretical Physics 21(12):905-940. https://doi.org/10.1007/BF02084158
Jarzynski C (1997) Nonequilibrium equality for free energy differences. Physical Review Letters 78(14):2690-2693. https://doi.org/10.1103/PhysRevLett.78.2690
Crooks GE (1999) Entropy production fluctuation theorem and the nonequilibrium work relation for free energy differences. Physical Review E 60(3):2721-2726. https://doi.org/10.1103/PhysRevE.60.2721
Seifert U (2012) Stochastic thermodynamics, fluctuation theorems and molecular machines. Reports on Progress in Physics 75(12):126001. https://doi.org/10.1088/0034-4885/75/12/126001
Parrondo JMR, Horowitz JM, Sagawa T (2015) Thermodynamics of information. Nature Physics 11(2):131-139. https://doi.org/10.1038/nphys3230
Bekenstein JD (1973) Black holes and entropy. Physical Review D 7(8):2333-2346. https://doi.org/10.1103/PhysRevD.7.2333
Onsager L (1931) Reciprocal relations in irreversible processes. I. Physical Review 37(4):405-426. https://doi.org/10.1103/PhysRev.37.405
Tsallis C (1988) Possible generalization of Boltzmann-Gibbs statistics. Journal of Statistical Physics 52(1-2):479-487. https://doi.org/10.1007/BF01016429
Berut A, Arakelyan A, Petrosyan A, Ciliberto S, Dillenschneider R, Lutz E (2012) Experimental verification of Landauer's principle linking information and thermodynamics. Nature 483(7388):187-189. https://doi.org/10.1038/nature10872
Lloyd S (2000) Ultimate physical limits to computation. Nature 406(6799):1047-1054. https://doi.org/10.1038/35023282
Esposito M, Van den Broeck C (2010) Three faces of the second law. I. Master equation formulation. Physical Review E 82(1):011143. https://doi.org/10.1103/PhysRevE.82.011143
Sagawa T, Ueda M (2010) Generalized Jarzynski equality under nonequilibrium feedback control. Physical Review Letters 104(9):090602. https://doi.org/10.1103/PhysRevLett.104.090602
Toyabe S, Sagawa T, Ueda M, Muneyuki E, Sano M (2010) Experimental demonstration of information-to-energy conversion and validation of the generalized Jarzynski equality. Nature Physics 6(12):988-992. https://doi.org/10.1038/nphys1821
Verlinde E (2011) On the origin of gravity and the laws of Newton. Journal of High Energy Physics 2011(4):029. https://doi.org/10.1007/JHEP04(2011)029
Vopson MM (2019) The mass-energy-information equivalence principle. AIP Advances 9(9):095206. https://doi.org/10.1063/1.5123794
