中国区域高分辨率陆地水储量与其水分量数据集（2002.04-2022.12）

卫星重力观测（GRACE/GRACE Follow-On, GFO）为全球及流域尺度的陆地水储量异常（TWSA）监测提供了每月时间分辨率和约330 km空间分辨率的解决方案。然而，其有限的空间分辨率难以捕捉小流域尺度的水储量变化，且GRACE/GFO无法独立识别垂向水储量的各组成部分，限制了其在水文研究中的应用。为应对上述挑战，本研究提出一种联合反演降尺度方法，将水文模拟与GRACE/GFO观测相结合。该方法有效继承了水文模型的高空间分辨率信息，同时保持了GRACE/GFO观测的大尺度精度，并支持灵活纳入mascon组（如冰川），从而减少对水文模型的依赖，在传统降尺度方法表现不佳的冰川区域中显著提升了性能。我们重建了中国区域0.5°分辨率的TWSA及其组成成分（如地下水和冰川质量），揭示了更精细的空间趋势和局地水质量变化。

Satellite gravimetry observations (GRACE/GRACE Follow-On, GFO) provide monthly temporal resolution and approximately 330 km spatial resolution solutions for monitoring global and basin-scale terrestrial water storage anomalies (TWSA). However, its limited spatial resolution fails to capture water storage changes at small basin scales, and GRACE/GFO cannot independently identify the individual components of vertical water storage, which restricts its application in hydrological research. To address these challenges, this study proposes a joint inversion downscaling method that combines hydrological simulations with GRACE/GFO observations. This method effectively inherits the high spatial resolution information of hydrological models, while maintaining the large-scale accuracy of GRACE/GFO observations, and supports flexible incorporation of mascon groups (e.g., glaciers), thereby reducing dependence on hydrological models and significantly improving performance in glacier regions where traditional downscaling methods perform poorly. We reconstructed TWSA and its components (e.g., groundwater and glacier mass) at 0.5° resolution over China, revealing more refined spatial trends and local water mass changes.

搜集汇总

背景与挑战

背景概述

该数据集提供了中国区域2002年4月至2022年12月的高分辨率陆地水储量及其组成成分数据，时间分辨率为月，空间分辨率为0.5° - 1°。它通过联合反演降尺度方法，结合GRACE/GFO卫星观测和水文模拟，生成了更精细的陆地水储量异常（TWSA）以及地下水、冰川质量等分量，解决了原始数据分辨率低和无法独立识别水储量组成的问题，适用于水文研究和区域水循环分析。