2013-2019年青藏高原地区Cryosat-2高度计GDR数据湖泊水位数据集

湖泊作为受全球气候变化影响显著的地理单元之一，能够敏感地反应全球气候变化，同时其也在间接影响全球气候变化。湖泊特别是青藏高原湖泊的水位变化能够直接反映全球变化带来的影响，从而成为全球变化的指示器。针对青藏高原湖泊水位变化，利用长时序的Cryosat-2雷达高度计GDR产品数据(2013-2019)，采用过境点筛选、异常点删除、滤波、水位提取等方法，形成连续的逐月湖泊水位数据集。

As one of the geographic units significantly affected by global climate change, lakes can sensitively reflect global climate change and also indirectly influence it. The water level changes of lakes, especially those on the Qinghai-Tibet Plateau, can directly reflect the impacts of global changes, thus serving as an indicator of global changes. Aiming at the water level changes of lakes on the Qinghai-Tibet Plateau, long-time series Cryosat-2 radar altimeter GDR product data (2013–2019) were used, and methods including transit point screening, outlier removal, filtering, and water level extraction were adopted to develop a continuous monthly lake water level dataset.

搜集汇总

背景与挑战

背景概述

该数据集为2013-2019年青藏高原地区湖泊水位数据，基于Cryosat-2雷达高度计GDR产品处理生成，提供逐月连续的水位信息，用于研究全球气候变化对湖泊水位的影响。