Status: this preprint was under review for the journal ESD but the revision was not accepted.
Inferring global wind energetics from a simple Earth system model based on the principle of maximum entropy production
S. Karkarand D. Paillard
Abstract. The question of total available wind power in the atmosphere is highly debated, as well as the effect large scale wind farms would have on the climate. Bottom-up approaches, such as those proposed by wind turbine engineers often lead to non-physical results (non-conservation of energy, mostly), while top-down approaches have proven to give physically consistent results. This paper proposes an original method for the calculation of mean annual wind energetics in the atmosphere, without resorting to heavy numerical integration of the entire dynamics. The proposed method is derived from a model based on the Maximum of Entropy Production (MEP) principle, which has proven to efficiently describe the annual mean temperature and energy fluxes, despite its simplicity. Because the atmosphere is represented with only one vertical layer and there is no vertical wind component, the model fails to represent the general circulation patterns such as cells or trade winds. However, interestingly, global energetic diagnostics are well captured by the mere combination of a simple MEP model and a flux inversion method.
How to cite. Karkar, S. and Paillard, D.: Inferring global wind energetics from a simple Earth system model based on the principle of maximum entropy production, Earth Syst. Dynam. Discuss., 6, 407–433, https://doi.org/10.5194/esdd-6-407-2015, 2015.
Received: 18 Dec 2014 – Discussion started: 02 Mar 2015
This paper proposes a method to infer global wind energetics of the atmosphere. It uses the energy fluxes obtained with a climate box-model previously proposed by Herbert et al., based on the maximization of entropy production (MEP) principle, to compute annual mean winds. Specific details of the circulation are not recovered, as the atmosphere is represented with only one layer, but global figures are well captured.
This paper proposes a method to infer global wind energetics of the atmosphere. It uses the...