全球1km近地表冻融状态数据集（2010-2024）

冰冻圈作为地球气候系统的关键组成，包括冰川、海冰、积雪和冻土等，对全球气候、水文、能量及碳循环具有重要调节作用。在全球变暖背景下，冰冻圈变化引发的诸多问题日益凸显，尤其是冻土冻融过程对环境和人类社会的影响更为显著。季节性的冻融循环不仅直接影响地表水热交换过程，还通过改变土壤水分状态、微生物活动和植被生长等对区域乃至全球的碳循环、水循环和能量平衡产生深远影响。本数据集是基于FY3B、FY3C以及FY3D被动微波亮温数据，以及MODIS光学遥感数据，利用自适应阈值的冻融判别式算法和冻融降尺度算法制备的全球近地表冻融状态（空间分辨率：1km；时间跨度：2010-2024年），可用于分析全球近地表冻融循环的开始/结束日期、冻结/融化时长、冻结范围等指标的空间分布和趋势变化，可为理解全球变化背景下陆表冻融循环与水分、能量交换过程的相互作用机制提供数据支持。

The cryosphere, a critical component of the Earth’s climate system encompassing glaciers, sea ice, snow cover, permafrost and other related components, plays a vital regulatory role in global climate, hydrology, energy cycles and carbon cycles. Against the backdrop of global warming, numerous issues triggered by cryospheric changes have become increasingly prominent, with the impacts of permafrost freeze-thaw processes on the environment and human society being particularly notable. Seasonal freeze-thaw cycles not only directly affect surface water-heat exchange processes, but also exert profound impacts on regional and even global carbon cycles, hydrological cycles and energy balances by altering soil moisture status, microbial activities, vegetation growth and other factors. This dataset is a global near-surface freeze-thaw state product developed using passive microwave brightness temperature data from FY3B, FY3C and FY3D, as well as MODIS optical remote sensing data, with adaptive threshold-based freeze-thaw discrimination algorithms and freeze-thaw downscaling algorithms, featuring a spatial resolution of 1 km and a temporal coverage spanning from 2010 to 2024. It can be used to analyze the spatial distribution and trend variations of indicators such as the start/end dates, freeze/thaw duration and freeze extent of global near-surface freeze-thaw cycles, providing data support for understanding the interaction mechanisms between land surface freeze-thaw cycles and water-energy exchange processes under the context of global change.

搜集汇总

背景与挑战

背景概述

该数据集是一个全球范围的近地表冻融状态数据集，覆盖2010年至2024年，日时间分辨率和1km空间分辨率，数据大小为73.71 GB。它基于风云卫星和MODIS遥感数据，通过自适应阈值算法和降尺度算法生成，用于分析冻融循环的时空变化，支持全球气候和水文研究。数据集以开放获取方式共享，适用于冰冻圈变化监测和环境相互作用机制分析。