The second Met Office Unified Model–JULES Regional Atmosphere and Land configuration, RAL2
The second Met Office Unified Model–JULES Regional Atmosphere and Land configuration, RAL2
复制标题
第二个气象局统一模型 – JULES 区域大气和土地配置，RAL2
DOI：
10.5194/gmd-16-1713-2023
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发表时间：
2023
影响因子：
5.1
通讯作者：
M. Weeks
中科院分区：
文献类型：
--
作者：
M. Bush;I. Boutle;J. Edwards;A. Finnenkoetter;C. Franklin;K. Hanley;A. Jayakumar;H. Lewis;A. Lock;M. Mittermaier;S. Mohandas;R. North;A. Porson;B. Roux;S. Webster;M. Weeks
抽象的。在本文中，我们定义了RAL 2-第二区域大气和土地（RAL）科学配置，
建模RAL 2使用统一模型（UM）作为大气和联合英国陆地环境模拟器的基础
（朱尔斯）为土地。RAL 2定义了大气动力学和物理学方案的科学配置，
土地和建筑物的基准线1。有两个RAL 2子版本，一个用于中纬度地区（RAL 2-M），一个用于
热带地区（RAL 2-T）。我们记录了它们之间的差异，并在适当的情况下讨论了RAL 2与
RAL 1和相应的全球预测模型的配置。我们的研究结果显示，
中纬度地区的云量导致云预测的改进。云量的增加会导致
屏幕温度的日变化。较强降水率的频率也有所减少。RAL 2是
预计将是最后一个RAL科学配置，有两个子版本，因为研究工作的重点是生产
该模型的单一定义配置可在世界所有地区有效执行。
Abstract. In this paper we define RAL2 – the second Regional Atmosphere and Land (RAL) science configuration for regional
modelling. RAL2 uses the Unified Model (UM) as the basis for the atmosphere and the Joint UK Land Environment Simulator
(JULES) for the land. RAL2 defines the science configuration of the dynamics and physics schemes of the atmosphere and
land and builds on the baseline of RAL1. There are two RAL2 sub-releases, one for mid-latitudes (RAL2-M) and one
for tropical regions (RAL2-T). We document the differences between them and where appropriate discuss how RAL2 relates to
RAL1 and the corresponding configuration of the global forecasting model. Our results show an increase in medium and low
cloud amounts in the mid-latitudes leading to improved cloud forecasts. The increase in cloud amount leads to a reduced
diurnal cycle of screen temperature. There is also a reduction in the frequency of heavier precipitation rates. RAL2 is
expected to be the last RAL science configuration with two sub-releases as research effort is focused on producing
a single defined configuration of the model that performs effectively in all regions of the world.
影响因子：
3.1
作者：
S. Abel;I. Boutle;K. Waite;S. Fox;P. Brown;R. Cotton;G. Lloyd;Tom Choularton;K. Bower
通讯作者：
S. Abel;I. Boutle;K. Waite;S. Fox;P. Brown;R. Cotton;G. Lloyd;Tom Choularton;K. Bower
影响因子：
4.6
作者：
Berthou, Segolene;Kendon, Elizabeth J.;Fosser, Giorgia
通讯作者：
Fosser, Giorgia
影响因子：
8.9
作者：
A. Porson;Peter Clark;Ian N. Harman;Martin Best;Stephen E. Belcher
通讯作者：
A. Porson;Peter Clark;Ian N. Harman;Martin Best;Stephen E. Belcher