On energy‐aware hybrid models

Shevchenko, Igor; Crisan, Dan. 2024 On energy‐aware hybrid models. Journal of Advances in Modeling Earth Systems, 16 (8). https://doi.org/10.1029/2024MS004306

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Text © 2024 The Author(s). Journal of Advances in Modeling Earth Systems published by Wiley Periodicals LLC on behalf of American Geophysical Union. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. J Adv Model Earth Syst - 2024 - Shevchenko - On Energy‐Aware Hybrid Models.pdf - Published Version Available under License Creative Commons Attribution 4.0. Download (5MB) | Preview

Abstract/Summary

This study proposes deterministic and stochastic energy-aware hybrid models that should enable simulations of idealized and primitive-equations Geophysical Fluid Dynamics (GFD) models at low resolutions without compromising on quality compared with high-resolution runs. Such hybrid models bridge the data-driven and physics-driven modeling paradigms by combining regional stability and classical GFD models at low resolution that cannot reproduce high-resolution reference flow features (large-scale flows and small-scale vortices) which are, however, resolved. Hybrid models use an energy-aware correction of advection velocity and extra forcing compensating for the drift of the low-resolution model away from the reference phase space. The main advantages of hybrid models are that they allow for physics-driven flow recombination within the reference energy band, reproduce resolved reference flow features, and produce more accurate ensemble forecasts than their classical GFD counterparts. Hybrid models offer appealing benefits and flexibility to the modeling and forecasting communities, as they are computationally cheap and can use both numerically-computed flows and observations from different sources. All these suggest that the hybrid approach has the potential to exploit low-resolution models for long-term weather forecasts and climate projections thus offering a new cost effective way of GFD modeling. The proposed hybrid approach has been tested on a three-layer quasi-geostrophic model for a beta-plane Gulf Stream flow configuration. The results show that the low-resolution hybrid model reproduces the reference flow features that are resolved on the coarse grid and also gives a more accurate ensemble forecast than the physics-driven model.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	https://doi.org/10.1029/2024MS004306
ISSN:	1942-2466
Additional Keywords:	hybrid model, multi-scale decomposition, ensemble predictions, hyper-parameterization approach, quasi-geostrophic dynamics
Date made live:	05 Sep 2024 15:27 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/537970

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