Su Baohuang, Sun Yong, Zhou Mengzi
Institute of Tibetan Plateau Meteorology, Chinese Academy of Meteorological Sciences, Beijing, 100081, China.
Heavy Rain and Drought-Flood Disasters in Plateau and Basin Key Laboratory of Sichuan Province, Institute of Tibetan Plateau Meteorology, China Meteorological Administration, Chengdu, 610213, China.
Sci Data. 2025 Jun 9;12(1):961. doi: 10.1038/s41597-025-05297-x.
Over the last 800,000 years, Earth's climate has experienced periodic glacial and interglacial cycles driven by orbital parameters, CO concentrations, and ice sheet volumes. To understand how these climate forcing factors influence climate on orbital scales, high-resolution and continuous paleoclimate simulations are crucial. This study employed the CESM1.2.2 Earth System Model for four 800,000-year orbital-accelerated transient climate simulations, including a full-forcing experiment and three single-factor forcing experiments. The results were compared with geological proxy records from various regions, showing good agreement in mid-low latitude monsoon systems, mid-latitude sea surface temperatures, and high-latitude North Atlantic climate variability. However, the model underestimated sea surface temperature fluctuations in the tropics and Southern Hemisphere mid-latitudes. Despite this, it accurately depicted high-latitude climate characteristics. These climate simulation datasets include global annual mean surface temperature and precipitation distributions with a horizontal resolution of 3.75°. Overall, these simulations provide a reliable and verifiable climate dataset, offering strong support for studying the driving mechanisms of past glacial-interglacial climate changes and interpreting long-term climate signals in geological records.
在过去的80万年里,地球气候经历了由轨道参数、二氧化碳浓度和冰盖体积驱动的周期性冰川期和间冰期循环。为了理解这些气候强迫因素如何在轨道尺度上影响气候,高分辨率和连续的古气候模拟至关重要。本研究采用CESM1.2.2地球系统模型进行了四次80万年的轨道加速瞬态气候模拟,包括一次全强迫实验和三次单因素强迫实验。将结果与来自不同地区的地质代理记录进行了比较,发现在中低纬度季风系统、中纬度海表面温度和高纬度北大西洋气候变率方面具有良好的一致性。然而,该模型低估了热带地区和南半球中纬度地区的海表面温度波动。尽管如此,它准确地描绘了高纬度气候特征。这些气候模拟数据集包括水平分辨率为3.75°的全球年平均地表温度和降水分布。总体而言,这些模拟提供了一个可靠且可验证的气候数据集,为研究过去冰川-间冰期气候变化的驱动机制以及解释地质记录中的长期气候信号提供了有力支持。