CHELSA-TraCE21k: Downscaled transient temperature and precipitation data since the last glacial maximum

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 is published under a Creative Commons Attribution 2.0 Generic (CC BY 2.0) license.

高分辨率降尺度气候模式数据广泛应用于环境科学领域的各类研究中。本研究提出CHELSA-TraCE21k降尺度算法，用于生成过去21000年间、时间步长为100年、空间分辨率达30角秒的全球逐月温度与降水气候态数据集。各时间步下的高空间分辨率古地形，通过整合当前与末次冰盛期（Last Glacial Maximum, LGM）冰川数据库中的高分辨率冰川覆盖信息，结合动态冰盖模型（ICE6G）的插值结果，并耦合来自CCSM3-TraCE21k的年均温度数据构建而成。基于重建得到的古地形，本研究采用CHELSA V1.2算法对年均温度与降水开展降尺度处理。本数据集采用知识共享署名2.0通用许可（Creative Commons Attribution 2.0 Generic, CC BY 2.0）协议发布。

搜集汇总

背景与挑战

背景概述

CHELSA-TraCE21k数据集提供了过去21,000年全球月度温度和降水的高分辨率（30弧秒）降尺度数据，时间步长为100年。该数据集结合了古地形重建和冰川覆盖信息，基于CHELSA V1.2算法生成，适用于多种环境科学应用。