2026-10-14T23:26:12Z https://www.scidb.cn/oai

10.11922/sciencedb.j00001.00396 2022-08-25T11:13:19Z

2022-08-25 A snow depth data set over typical snow-covered regions of China derived from a continuously operating GNSS network (2013-2022) doi:10.11922/sciencedb.j00001.00396 en  Snow depth is the most critical parameter to providing snow water equivalent; Its spatial and temporal distribution is the key variable of snowmelt runoff simulation, snow disaster monitoring in pastoral areas, and prediction model of the avalanche. The all-weather global navigation satellite system (GNSS) signal has been proven to retrieve snow depth with high spatial-temporal resolution and high accuracy. This paper develops a new snow depth data set (v1.0, 12 / 24 hours, ~ 1000 m2, 2013-2022) using the observed data from the GNSS meteorological observation network over the typical snow-covered regions of China. The data set has an independent measurement principle, and the spatial resolution is between ground measurement (point-scale) and satellite remote sensing (tens of meters to tens of kilometers). The data set is a valuable supplement to the existing snow depth products, supporting scientific research and snow monitoring applications. The data set also helps to improve the potential value of the existing/future BeiDou/GNSS station networks in China. Snow depth; GNSS-IR; BeiDou; GPS; Typical snow-covered regions of China Jie Zhang Wei Wan Hong Liang Heng Hu PUBLIC https://creativecommons.org/licenses/by/4.0/ dataset http://www.doi.org/10.11922/11-6035.csd.2022.0021.zh Science Data Bank