Data · dataset · 2022
A snow depth data set over typical snow-covered regions of China derived from a continuously operating GNSS network (2013-2022)
Listed in ScienceDB
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.
Description
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.
Links
Where it is published
- DOI doi.org/10.11922/sciencedb.j00001.00396 ↗
DOI / persistent id · from scidb cn
Catalogue records · 1
- OAI-PMH record scidb.cn/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=10.11922%2… ↗
metadata API · from scidb cn
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
- Inferred from text
- Physical geography and environmental geoscience 75% · Satellite remote sensing 75% · Simulation 75%
Provenance · 1 source records, 13 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.11922/sciencedb.j00001.00396 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].anzsrc:group:3709 | enrichment · scidb cn | taxonomy-embedding@1.0.0 | title+keywords+description (75%) |
| concepts[field].local:field:earth-environmental | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:engineering | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:humanities | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:social-science | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[method].local:method:simulation | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:remote-sensing | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/description |
| license | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/rights |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |