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Diurnal land surface energy balance partitioning estimated from the thermodynamic limit of a cold heat engine

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Kleidon,  Axel
Research Group Biospheric Theory and Modelling, Dr. A. Kleidon, Max Planck Institute for Biogeochemistry, Max Planck Society;

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Renner,  Maik
Research Group Biospheric Theory and Modelling, Dr. A. Kleidon, Max Planck Institute for Biogeochemistry, Max Planck Society;

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Citation

Kleidon, A., & Renner, M. (2018). Diurnal land surface energy balance partitioning estimated from the thermodynamic limit of a cold heat engine. Earth System Dynamics, 9(3), 1127-1140. doi:10.5194/esd-9-1127-2018.


Cite as: https://hdl.handle.net/21.11116/0000-0002-6B36-A
Abstract
Turbulent fluxes strongly shape the conditions at the land surface, yet they are typically formulated
in terms of semiempirical parameterizations that make it difficult to derive theoretical estimates of how global
change impacts land surface functioning. Here, we describe these turbulent fluxes as the result of a thermodynamic
process that generates work to sustain convective motion and thus maintains the turbulent exchange
between the land surface and the atmosphere. We first derive a limit from the second law of thermodynamics
that is equivalent to the Carnot limit but which explicitly accounts for diurnal heat storage changes in the lower
atmosphere. We call this the limit of a “cold” heat engine and use it together with the surface energy balance to
infer the maximum power that can be derived from the turbulent fluxes for a given solar radiative forcing. The
surface energy balance partitioning estimated from this thermodynamic limit requires no empirical parameters
and compares very well with the observed partitioning of absorbed solar radiation into radiative and turbulent
heat fluxes across a range of climates, with correlation coefficients r2 95% and slopes near 1. These results
suggest that turbulent heat fluxes on land operate near their thermodynamic limit on how much convection can
be generated from the local radiative forcing. It implies that this type of approach can be used to derive general
estimates of global change that are solely based on physical principles.