LAUSR

The Chinese Academy of Sciences (CAS) Flexible Global Ocean–Atmosphere–Land System (FGOALS-f3-L) model datasets prepared for the sixth phase of the Coupled Model Intercomparison Project (CMIP6) Global Monsoons Model Intercomparison Project (GMMIP) Tier-1 and Tier-3 experiments are introduced in this paper, and the model descriptions, experimental design and model outputs are demonstrated. There are three simulations in Tier-1, with different initial states, and five simulations in Tier-3, with different topographies or surface thermal status. Specifically, Tier-3 contains four orographic perturbation experiments that remove the Tibetan–Iranian Plateau, East African and Arabian Peninsula highlands, Sierra Madre, and Andes, and one thermal perturbation experiment that removes the surface sensible heating over the Tibetan–Iranian Plateau and surrounding regions at altitudes above 500 m. These datasets will contribute to CMIP6’s value as a benchmark to evaluate the importance of long-term and short-term trends of the sea surface temperature in monsoon circulations and precipitation, and to a better understanding of the orographic impact on the global monsoon system over highlands. 中国科学院(CAS)气候系统模式FGOALS-f3-L于近期完成了第六次国际耦合模式比较计划(CMIP6)试验中的全球季风比较计划(GMMIP)的Tier-1和Tier-3试验并发布了相应数据。本文是FGOALS-f3-L参加GMMIP试验的数据描述文章。在GMMIP Tier-1试验中,基于观测的海温和海冰强迫,FGOALS-f3-L模式完成了三组不同初始场的历史模拟试验。在GMMIP Tier-3试验中,FGOALS-f3-L模式完成了5组地形和热力扰动的敏感性试验。具体来说,包括四组地形敏感性试验,分别去除了青藏高原、东非和阿拉伯半岛高原、北美马德雷山脉和南美的安第斯山脉,以及一组热力敏感性试验,去除了青藏-伊朗高原及邻近区域500m以上地形的地表感热加热。这组数据集将贡献于CMIP6用于评估海温对全球季风环流和降水的长期以及短期趋势的影响,以及更好的理解大地形在影响全球季风中的作用。