科学家通过数值模拟实验进一步揭示影响季风行为的驱动因子(2)

这是作者为IPCC CMIP6 世界气候研究计划撰写的两篇论文之一。另一篇论文描述了中科院FGOALS-f3-L模式参加CMIP6 DECK试验中大气模式比较计划(Atmospheric Model Intercomparison Project, AMIP)这一基准试验的模拟数据。

何编说：“我们将在下一步模拟中考虑海气相互作用，因为这也是理解全球季风和相关的地形效应的一个重要因素。我们的最终目标是改进模式对季风行为的模拟，以便更准确地预测季风。”

论文链接：1 2

图：(a)全球陆地表面气温异常的时间序列(单位：K，相对于1951-1980年的异常)。红线表示GISS数据。粗黑线表示三组amip-hist试验的集合平均结果，而三个集合r1i1p1f1, r2i1p1f1, r3i1p1f1分别用三种虚线表示。(b)与(a)同，但为降水(单位：mm d-1)的结果。红线表示GPCC数据。

Abstract: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。

1.Introduction2.Model and experiments3.Technical validation4.Usage notesData availability statementDisclosure statementReference

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