4.7 Article

JULES-GL7: the Global Land configuration of the Joint UK Land Environment Simulator version 7.0 and 7.2

期刊

GEOSCIENTIFIC MODEL DEVELOPMENT
卷 13, 期 2, 页码 483-505

出版社

COPERNICUS GESELLSCHAFT MBH
DOI: 10.5194/gmd-13-483-2020

关键词

-

资金

  1. BEIS
  2. DEFRA Met Office Hadley Centre Climate Programme (MOHCCP) for 2018-2021 (MOHCCP grant)
  3. EU Horizon 2020 CRECENDO project [641816]
  4. EPSRC [EP/N030141/1] Funding Source: UKRI

向作者/读者索取更多资源

We present the latest global land configuration of the Joint UK Land Environment Simulator (JULES) model as used in the latest international Coupled Model Intercomparison Project (CMIP6). The configuration is defined by the combination of switches, parameter values and ancillary data, which we provide alongside a set of historical forcing data that defines the experimental setup. The configurations provided are JULES-GL7.0, the base setup used in CMIP6 and JULES-GL7.2, a subversion that includes improvements to the representation of canopy radiation and interception. These configurations are recommended for all JULES applications focused on the exchange and state of heat, water and momentum at the land surface. In addition, we provide a standardised modelling system that runs on the Natural Environment Research Council (NERC) JASMIN cluster, accessible to all JULES users. This is provided so that users can test and evaluate their own science against the standard configuration to promote community engagement in the development of land surface modelling capability through JULES. It is intended that JULES configurations should be independent of the underlying code base, and thus they will be available in the latest release of the JULES code. This means that different code releases will produce scientifically comparable results for a given configuration version. Versioning is therefore determined by the configuration as opposed to the underlying code base.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据