Department of Zoology, University of Cambridge, Downing Street, Cambridge, CB2 3EJ, United Kingdom.
Sci Data. 2020 Jul 14;7(1):236. doi: 10.1038/s41597-020-0552-1.
The variability of climate has profoundly impacted a wide range of macroecological processes in the Late Quaternary. Our understanding of these has greatly benefited from palaeoclimate simulations, however, high-quality reconstructions of ecologically relevant climatic variables have thus far been limited to a few selected time periods. Here, we present a 0.5° resolution bias-corrected dataset of global monthly temperature, precipitation, cloud cover, relative humidity and wind speed, 17 bioclimatic variables, annual net primary productivity, leaf area index and biomes, covering the last 120,000 years at a temporal resolution of 1,000-2,000 years. We combined medium-resolution HadCM3 climate simulations of the last 120,000 years with high-resolution HadAM3H simulations of the last 21,000 years, and modern-era instrumental data. This allows for the temporal variability of small-scale features whilst ensuring consistency with observed climate. Our data make it possible to perform continuous-time analyses at a high spatial resolution for a wide range of climatic and ecological applications - such as habitat and species distribution modelling, dispersal and extinction processes, biogeography and bioanthropology.
气候变化的多变性在第四纪晚期深刻影响了广泛的宏观生态过程。我们对这些过程的理解极大地受益于古气候模拟，但到目前为止，与生态相关的气候变量的高质量重建仅限于少数几个选定的时期。在这里，我们提供了一个分辨率为 0.5°的全球月气温、降水、云量、相对湿度和风速、17 个生物气候变量、年净初级生产力、叶面积指数和生物群落的数据集，涵盖了过去 12 万年的时间，时间分辨率为 1000-2000 年。我们结合了过去 12 万年的中等分辨率 HadCM3 气候模拟和过去 21000 年的高分辨率 HadAM3H 模拟，以及现代仪器数据。这使得在小尺度特征的时间变异性的同时，保证了与观测到的气候的一致性。我们的数据使得在高空间分辨率下进行广泛的气候和生态应用的连续时间分析成为可能，如栖息地和物种分布建模、扩散和灭绝过程、生物地理学和生物人类学。
