CHELSA-TraCE21k v1.0. Downscaled transient temperature and precipitation data since the last glacial maximum

D. Karger, M. Nobis, S. Normand, C. Graham, N. Zimmermann
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引用次数: 41

Abstract

Abstract. High resolution, downscaled climate model data are used in a wide variety of applications in environmental sciences. Here we present the CHELSA-TraCE21k downscaling algorithm to create global monthly climatologies for temperature and precipitation at 30 arcsec spatial resolution in 100 year time steps for the last 21,000 years. Paleo orography at high spatial resolution and at each timestep is created by combining high resolution information on glacial cover from current and Last Glacial Maximum (LGM) glacier databases with the interpolation of a dynamic ice sheet model (ICE6G) and a coupling to mean annual temperatures from CCSM3-TraCE21k. Based on the reconstructed paleo orography, mean annual temperature and precipitation was downscaled using the CHELSA V1.2 algorithm. The data were validated by comparisons with the glacial extent of the Laurentide ice shield based on expert delineations, proxy data from Greenland ice cores, historical climate data from meteorological stations, and a dynamic simulation of species a distribution throughout the Holocene. Validations show that CHELSA TraCE21k output creates a reasonable representation of the distribution of temperature and precipitation through time at a high spatial resolution, and simulations based on the data are capable of detecting effective LGM refugia of species.
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CHELSA-TraCE21k v1.0。缩小了末次盛冰期以来的瞬态温度和降水资料
摘要高分辨率、缩小比例的气候模式数据广泛应用于环境科学领域。在这里,我们提出了CHELSA-TraCE21k降尺度算法,以创建过去21000年的100年时间步长30弧秒空间分辨率的温度和降水的全球月气候。高空间分辨率和每个时间步的古地形学是通过将当前和末次极冰期冰川数据库的高分辨率冰川覆盖信息与动态冰盖模型(ICE6G)的插值和CCSM3-TraCE21k的年平均气温耦合相结合而创建的。在重建古地形的基础上,利用CHELSA V1.2算法对年平均气温和降水量进行了降尺度处理。通过与Laurentide冰盖的冰川范围进行比较,这些数据基于专家圈定、格陵兰冰芯的代理数据、气象站的历史气候数据以及整个全新世物种分布的动态模拟,验证了数据的有效性。验证结果表明,CHELSA TraCE21k输出能够在高空间分辨率下合理地表示温度和降水随时间的分布,基于该数据的模拟能够有效地探测物种的LGM避难所。
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