five

ACCESS1.3b model output from the Amazonian Deforestation (AMZDEF) experiment

收藏
NIAID Data Ecosystem2026-03-12 收录
下载链接:
https://zenodo.org/records/5240947
下载链接
链接失效反馈
官方服务:
资源简介:
ACCESS1.3b model output from the Amazonian Deforestation (AMZDEF) experiment v2.0. The AMZDEF simulation investigates the effect of Amazonian deforestation for the global climate between 1978-2011. ACCESS1.3 is a general circulation climate model developed as a collaboration between CSIRO and BoM. The 1.3b version of this model uses UM7.3 as the atmospheric component and CABLE2.0 as the land component. The ocean component is not included in this simulations. Model configuration is based on Greg Roff's (BoM) ACCESS 1.3 job on Solar, but with CABLE2.0 instead of 1.8. Updated sea surface temperature and sea ice input files to cover longer time period (1950-2011). Alternative vegetation fraction files used for different experiments. Set up on Raijin by Ruth Lorenz with help from Scott Wales and Jhan Srbinovsky. Updated Sea surface temperature and sea ice files provided by Dan Copsey (Met Office) Version v1.0 of this dataset includes monthly means for air temperature at 1.5m and total precipitation, calculated from the raw model output. Version v2.0 adds new variables heat fluxes, radiation, humidity and wind component to air temperature and total precipitation. Version v2.0 includes all V1.0 ensemble members (E0) and new ones (E1, E2, E3 and E4). The new ensemble members are initiliased in earlier years. More information on the model configuration can be found on the CLEX CMS wiki: experiment configuration: http://climate-cms.wikis.unsw.edu.au/ACCESS1.3b+AMIP+Land+Use+Change control run configuration: http://climate-cms.wikis.unsw.edu.au/ACCESS1.3b_AMIP These experiments were executed by Dr Ruth Lorenz of the ARC Centre of Excellence for Climate System Science (ARCCSS) as part of its research program: "The role of land surface forcing and feedbacks for regional climate".
创建时间:
2021-08-24
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作