中国区域末次冰盛期以来每千年动力降尺度模拟气温和降水数据（21ka-0ka）

基于古花粉反演的自然植被变化，结合冰芯重建的温室气体资料，利用全球耦合气候模式CCSM3全变量强迫瞬变试验（TraCE-21ka）模拟的月平均资料作为侧边界，嵌套高分辩率区域气候模式RegCM4.1进行了自末次冰盛期以来千年尺度气候的动力降尺度模拟。通过对动力降尺度结果与TraCE-21ka及现代观测结果对比分析得知动力降尺度模拟显著改进了低分辨率结果，更精细地体现中国气候分布的区域差异，再现了中国高精度的历史气候变化Based on natural vegetation changes reconstructed from fossil pollen records and greenhouse gas datasets reconstructed from ice cores, monthly mean simulation outputs from the fully forced transient experiment (TraCE-21ka) of the fully coupled global climate model CCSM3 were employed as the lateral boundary conditions. We performed dynamic downscaling simulations of millennial-scale climate evolution since the Last Glacial Maximum (LGM) by nesting into the high-resolution regional climate model RegCM4.1. Through comparative analysis between the dynamic downscaling results, the TraCE-21ka outputs and modern observational data, it is revealed that the dynamic downscaling simulations substantially improve the low-resolution global model outputs, more precisely depict the regional disparities in China's climate distribution, and successfully reproduce the high-fidelity historical climate variations across China.

搜集汇总

背景与挑战

背景概述

该数据集提供了中国区域自末次冰盛期以来（21ka-0ka）每千年的动力降尺度模拟气温和降水数据，通过高分辨率区域气候模式RegCM4.1的嵌套模拟，显著改进了低分辨率结果，更精细地体现了中国气候分布的区域差异。数据适用于气候学研究，特别是对中国历史气候变化的精细分析。