三极地区敏感性试验输出数据

该数据集包括三大组敏感性试验，包括：FGOALS-f3-L参加CMIP6北极放大效应模式比较计划数据集、FGOALS-f3-L参加CMIP6全球季风模拟模式比较计划数据集、CESM1.2.0 青藏高原感热试验数据集。（1）FGOALS-f3-L参加CMIP6北极放大效应模式比较计划数据集，包括8 组大样本集合试验，是基于陆气耦合模式分别考虑了不同下垫面强迫的组合在工业革命前情景、 现代气候情景和未来气候变化情景下，全球海温和海冰变化对大气环流及全球气候系统的影响。（2）FGOALS-f3-L参加CMIP6全球季风模拟模式比较计划数据集，包括四组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的地形敏感性试验，以及一组去除了青藏-伊朗高原及邻近区域500m以上地形地表感热加热的热力敏感性试验，这组数据集可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、更好的理解大地形在影响全球季风中的作用。（3）CESM1.2.0 青藏高原感热试验数据集，是基于气候系统模式CESM1.2.0和大气环流模式CAM4.0制备了有关青藏高原春季感热异常偏强和偏弱的全球模拟敏感性试验数据集，可用于分析高原春季热源异常对全球气候的影响。This dataset comprises three groups of sensitivity experiments, namely: the FGOALS-f3-L dataset for the CMIP6 Arctic Amplification Model Intercomparison Project, the FGOALS-f3-L dataset for the CMIP6 Global Monsoon Simulation Model Intercomparison Project, and the CESM1.2.0 Tibetan Plateau Sensible Heat Experiment dataset. (1) The FGOALS-f3-L dataset for the CMIP6 Arctic Amplification Model Intercomparison Project includes 8 large ensemble experiments. Based on the land-atmosphere coupled model considering different combinations of underlying surface forcing, it examines the impacts of global sea surface temperature and sea ice changes on atmospheric circulation and the global climate system under pre-industrial, present-day, and future climate change scenarios. (2) The FGOALS-f3-L dataset for the CMIP6 Global Monsoon Simulation Model Intercomparison Project contains four topographic sensitivity experiments with the Tibetan Plateau, the East African and Arabian Peninsula plateaus, the Sierra Madre Mountains in North America, and the Andes Mountains in South America removed respectively, plus one thermal sensitivity experiment that eliminates surface sensible heat heating of terrain above 500m in the Tibetan-Iranian Plateau and its adjacent regions. This dataset can be used to assess the effects of sea surface temperature on the long-term and short-term trends of global monsoon circulation and precipitation, and to gain a better understanding of the role of large-scale topography in influencing global monsoons. (3) The CESM1.2.0 Tibetan Plateau Sensible Heat Experiment dataset is a set of global simulation sensitivity experiment datasets focusing on anomalously strong and weak spring sensible heat over the Tibetan Plateau, developed based on the climate system model CESM1.2.0 and the atmospheric general circulation model CAM4.0. It can be applied to analyze the impacts of anomalous spring heat sources over the plateau on global climate.

搜集汇总

背景与挑战

背景概述

该数据集包含三大组敏感性试验输出数据，主要针对北极放大效应、全球季风模拟和青藏高原感热异常进行模拟分析，用于评估海温、海冰、地形和热源对全球气候系统的影响。数据集具有全球范围、高时空分辨率（如1°×1°空间分辨率和3小时至逐月时间分辨率），以NetCDF格式存储，适用于气候模式比较和气候变化研究。