The mean annual ground temperature (MAGT) and permafrost thermal stability dataset over Tibetan Plateau for 2005-2015

Mean annual ground temperature (MAGT) at a depth of zero annual amplitude and permafrost thermal stability type are fundamental importance for engineering planning and design, ecosystem management in permafrost region. This dataset is produced by integrating remotely sensed freezing degree-days and thawing degree-days, snow cover days, leaf area index, soil bulk density, high-accuracy soil moisture data, and in situ MAGT measurements from 237 boreholes for the 2010s (2005-2015) on the Tibetan Plateau (TP) by using an ensemble learning method that employs a support vector regression (SVR) model based on distance-blocked resampling training data with 200 repetitions. Validation of the new permafrost map indicates that it is probably the most accurate of all available maps at present. The RMSE of MAGT is approximately 0.75 °C and the bias is approximately 0.01 °C. This map shows that the total area of permafrost on the TP is approximately 115.02 (105.47-129.59) *104 km2. The areas corresponding to the very stable, stable, semi-stable, transitional, and unstable types are 0.86*104 km2, 9.62*104 km2, 38.45*104 km2, 42.29*104 km2, and 23.80*104 km2, respectively. This new dataset is available for evaluate the permafrost change in the future on the TP as a baseline. More details can be found in Ran et al., (2020) that published at Science China Earth Sciences.

年均地面温度（MAGT）在零年振幅深度及永冻层热稳定性类型方面对于工程规划和设计、永冻地区生态系统管理具有根本重要性。本数据集通过整合遥感冻结度日和融化度日、积雪天数、叶面积指数、土壤体积密度、高精度土壤水分数据，以及来自237个钻孔的现场年均地面温度测量值（2010年代，2005-2015年，青藏高原），采用基于距离块重采样的支持向量回归（SVR）模型的集成学习方法生成。新永冻层图的验证表明，它可能是目前所有可用地图中最精确的。年均地面温度的均方根误差（RMSE）约为0.75°C，偏差约为0.01°C。该图显示，青藏高原上的永冻层总面积约为115.02（105.47-129.59）*104 km²。对应于极稳定、稳定、半稳定、过渡和不稳定类型的面积分别为0.86*104 km²、9.62*104 km²、38.45*104 km²、42.29*104 km²和23.80*104 km²。此新数据集可用于评估青藏高原未来永冻层变化作为基线。更多详情可参考Ran等人在《科学通报：地球科学》上发表的（2020年）的研究。