Global Gravity-based Groundwater Product (G3P)
收藏DataCite Commons2025-12-10 更新2024-07-13 收录
下载链接:
https://dataservices.gfz.de/panmetaworks/showshort.php?id=2cd347ef-be20-11ed-95b8-f851ad6d1e4b
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资源简介:
The Global Gravity-based Groundwater Product (G3P) provides groundwater storage anomalies (GWSA) from a cross-cutting combination of GRACE/GRACE-FO-based terrestrial water storage (TWS) and storage compartments of the water cycle (WSCs) that are part of the Copernicus portfolio. The data set comprises gridded anomalies of groundwater, TWS, and the WSCs glacier, snow, soil moisture and surface water bodies plus layers containing uncertainty information for the individual data products. All WSCs are spatially filtered with a Gaussian filter to be compatible with TWS. Spatial coverage is global, except Greenland and Antarctica, with 0.5-degree resolution. Temporal coverage is from April 2002 to December 2020 with monthly temporal resolution. Gridded data sets are available as NetCDF files containing variables for the parameter value as anomaly in mm equivalent water height and the parameter’s uncertainty as mm equivalent water height.
The latest version of the data is visualized at the GravIS portal: https://gravis.gfz-potsdam.de/gws. From GravIS, the data is also available as area averages for several large river basins and aquifers, as well as for climatically similar regions.
G3P was funded by the EU Horizon 2020 programme in response to the call LC-SPACE-04-EO-2019-2020 “Copernicus evolution – Research activities in support of cross-cutting applications between Copernicus services” under grant agreement No. 870353.
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Version History:
10 March 2023:
Release of Version v1.11. This is the initial release of the data.
提供机构:
GFZ Data Services
创建时间:
2023-03-09
搜集汇总
背景与挑战
背景概述
Global Gravity-based Groundwater Product (G3P) 是一个全球地下水存储异常数据集,基于GRACE/GRACE-FO卫星数据和哥白尼服务的水循环组分,提供从2002年4月到2020年12月的月度网格化数据,空间分辨率为0.5度(覆盖全球除格陵兰和南极洲)。该数据集整合了地下水、陆地水存储以及冰川、雪、土壤湿度和地表水体等多个水循环组分的异常信息,并包含不确定性量化,以NetCDF格式提供,支持区域平均分析,适用于全球水文学和气候变化研究。
以上内容由遇见数据集搜集并总结生成



