The first Met Office Unified Model-JULES Regional Atmosphere and Land configuration, RAL1

Bush, M; Allen, T; Bain, C; et al.Boutle, I; Edwards, J; Finnenkoetter, A; Franklin, C; Hanley, K; Lean, H; Lock, A; Manners, J; Mittermaier, M; Morcrette, C; North, R; Petch, J; Short, C; Vosper, S; Walters, D; Webster, S; Weeks, M; Wilkinson, J; Wood, N; Zerroukat, M
Date: 21 April 2020
Journal
Geoscientific Model Development
Publisher
European Geosciences Union / Copernicus Publications
Publisher DOI
https://doi.org/10.5194/gmd-13-1999-2020
Abstract
In this paper we define the first Regional Atmosphere and Land (RAL) science configuration for kilometre-scale modelling using the Unified Model (UM) as the basis for the atmosphere and the Joint UK Land Environment Simulator (JULES) for the land. RAL1 defines the science configuration of the dynamics and physics schemes of the atmosphere ...
In this paper we define the first Regional Atmosphere and Land (RAL) science configuration for kilometre-scale modelling using the Unified Model (UM) as the basis for the atmosphere and the Joint UK Land Environment Simulator (JULES) for the land. RAL1 defines the science configuration of the dynamics and physics schemes of the atmosphere and land. This configuration will provide a model baseline for any future weather or climate model developments to be described against, and it is the intention that from this point forward significant changes to the system will be documented in the literature. This reproduces the process used for global configurations of the UM, which was first documented as a science configuration in 2011. While it is our goal to have a single defined configuration of the model that performs effectively in all regions, this has not yet been possible. Currently we define two sub-releases, one for mid-latitudes (RAL1-M) and one for tropical regions (RAL1-T). The differences between RAL1-M and RAL1-T are documented, and where appropriate we define how the model configuration relates to the corresponding configuration of the global forecasting model.
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Mathematics and Statistics

Faculty of Environment, Science and Economy

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© Crown copyright 2020. Open access. This work is distributed under the Creative Commons Attribution 4.0 License: https://creativecommons.org/licenses/by/4.0/. This licence does not affect the Crown copyright work, which is reusable under the Open Government Licence (OGL). The Creative Commons Attribution 4.0 License and the OGL are interoperable and do not conflict with, reduce or limit each other.
Except where otherwise noted, this item's licence is described as © Crown copyright 2020. Open access. This work is distributed under the Creative Commons Attribution 4.0 License: https://creativecommons.org/licenses/by/4.0/. This licence does not affect the Crown copyright work, which is reusable under the Open Government Licence (OGL). The Creative Commons Attribution 4.0 License and the OGL are interoperable and do not conflict with, reduce or limit each other.