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

被引:123
|
作者
Bush, Mike [1 ]
Allen, Tom [1 ]
Bain, Caroline [1 ]
Boutle, Ian [1 ]
Edwards, John [1 ]
Finnenkoetter, Anke [1 ]
Franklin, Charmaine [2 ]
Hanley, Kirsty [1 ]
Lean, Humphrey [1 ]
Lock, Adrian [1 ]
Manners, James [1 ]
Mittermaier, Marion [1 ]
Morcrette, Cyril [1 ]
North, Rachel [1 ]
Petch, Jon [1 ]
Short, Chris [1 ]
Vosper, Simon [1 ]
Walters, David [1 ]
Webster, Stuart [1 ]
Weeks, Mark [1 ]
Wilkinson, Jonathan [1 ]
Wood, Nigel [1 ]
Zerroukat, Mohamed [1 ]
机构
[1] Met Off, FitzRoy Rd, Exeter EX1 3PB, Devon, England
[2] Bur Meteorol BoM, Melbourne, Vic, Australia
关键词
NUMERICAL WEATHER PREDICTION; PROGNOSTIC-CLOUD-SCHEME; ENVIRONMENT SIMULATOR JULES; AIRCRAFT OBSERVATIONS; RADIATIVE-TRANSFER; SIZE DISTRIBUTION; PART I; CLIMATE; CONVECTION; IMPACT;
D O I
10.5194/gmd-13-1999-2020
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
In this paper we define the first Regional Atmosphere and Land (RAL) science configuration for kilometrescale 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 midlatitudes (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. (c) Crown copyright 2020
引用
收藏
页码:1999 / 2029
页数:31
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