A proof of concept for scale-adaptive parameterizations: the case of the Lorenz ’96 model

Vissio, G. and Lucarini, V. ORCID: https://orcid.org/0000-0001-9392-1471 (2018) A proof of concept for scale-adaptive parameterizations: the case of the Lorenz ’96 model. Quarterly Journal of the Royal Meteorological Society, 144 (710). pp. 63-75. ISSN 1477-870X doi: 10.1002/qj.3184

Abstract/Summary

Constructing efficient and accurate parameterizations of sub-grid scale processes is a central area of interest in the numerical modelling of geophysical fluids. Using a modified version of the two-level Lorenz ’96 model, we present here a proof of concept of a scale-adaptive parameterization constructed using statistical mechanical arguments. By a suitable use of the Ruelle response theory and of the Mori-Zwanzig projection method, it is possible to derive explicitly a parameterization for the fast variables that translates into deterministic, stochastic and non-markovian contributions to the equations of motion of the variables of interest. We show that our approach is computationally parsimonious, has great flexibility, as it is explicitly scale-adaptive, and we prove that it is competitive compared to empirical ad-hoc approaches. While the parameterization proposed here is universal and can be easily analytically adapted to changes in the parameters’ values by a simple rescaling procedure, the parameterization constructed with the ad-hoc approach needs to be recomputed each time the parameters of the systems are changed. The price of the higher flexibility of the method proposed here is having a lower accuracy in each individual case.

Item Type	Article
URI	https://reading-clone.eprints-hosting.org/id/eprint/73471
Identification Number/DOI	10.1002/qj.3184
Refereed	Yes
Divisions	Interdisciplinary Research Centres (IDRCs) > Walker Institute Science > School of Mathematical, Physical and Computational Sciences > Department of Mathematics and Statistics Interdisciplinary Research Centres (IDRCs) > Centre for the Mathematics of Planet Earth (CMPE)
Uncontrolled Keywords	Atmospheric Science
Publisher	Royal Meteorological Society
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