长江黄河源冻土分布情况及活动层厚度变化情况（1960-2022）

冻土分布及活动层厚度变化是气候变化的敏感指示器，影响生态系统、水资源、基础设施稳定性和防灾减灾，对区域可持续发展至关重要。利用GIPL2模型，中国区域地面气象要素驱动数据集 v2.0（1951-2020）以及MODIS数据作为温度数据，充分考虑了未冻水含量等土壤理化性质，用实测站点对模拟精度进行验证，多层平均MAE在0.007°C-1.650°C之间，表现出较高的一致性。模拟了长江黄河源区年多年冻土分布情况及活动层厚度变化情况，时间跨度为1960-2022年，空间分辨率为10km。该数据产品结果可以为区域环境和水资源保护、三江源国家公园管理提供科学依据。

Permafrost distribution and active layer thickness changes are sensitive indicators of climate change, which affect ecosystems, water resources, infrastructure stability, and disaster prevention and mitigation, and are critical to regional sustainable development. This dataset adopts the GIPL2 model, uses the China regional surface meteorological forcing dataset v2.0 (1951–2020) and MODIS data as temperature input data, fully considers soil physical and chemical properties such as unfrozen water content, and validates the simulation accuracy via in-situ observation stations. The multi-layer average MAE ranges from 0.007°C to 1.650°C, indicating high consistency. It simulates the annual permafrost distribution and active layer thickness changes in the source regions of the Yangtze River and Yellow River, with a time span of 1960–2022 and a spatial resolution of 10 km. The results of this data product can provide scientific support for regional environmental and water resource protection, as well as the management of the Sanjiangyuan National Park.

搜集汇总

背景与挑战

背景概述

该数据集提供了长江黄河源区1960-2022年的冻土分布及活动层厚度变化情况，空间分辨率为10km，数据格式为tif和NC。通过GIPL2模型模拟，结合气象和MODIS数据，数据精度较高，适用于区域环境和水资源保护研究。