<p> The dataset is daily snow cover data observed by Sandaohaizi observation field of Koktokay Snow Station from October 2019 to May 2021. The variables include snow depth (cm), SWE (mm), snow surface temperature (℃) and five layered snow temperature (℃) at 0, 10, 20, 30, 50 cm height above the ground surface. The dataset is averaged from the average data of half an hour within a day. This dataset contains an Excel table.
| collect time | 2019/10/01 - 2021/05/31 |
|---|---|
| collect place | Sandaohaizi observation field of Koktokay Snow Station |
| altitude | 2655.0m - 2655.0m |
| Data time resolution | day |
<p>  The dataset is field observation data. The sensor of snow depth is SR50a. The SWE is monitored by the snow pillow. The sensors of snow surface temperature and layered snow temperature are SI-111 and BetaTherm 10K3A1, respectively.
<p>  This dataset is processed from the average data of half an hour within a day, all data are the average data of half an hour.
<p>  The data quality is excellent.
| # | number | name | type |
| 1 | 2019YFC1510502 | Research and development of monitoring and early warning device for snowmelt flood disasters and three-dimensional monitoring technology | National key R & D plan |
| 2 | 41970183 | Research on Value Accounting and Service Function of cryosphere Resources in Two River Sources of Altai Mountains, Xinjiang | National Natural Science Foundation of China |
| 3 | 42071091 | Study on accelerating snow melting mechanism and snowmelt flood effect in mountainous areas under the background of temperature rise | National Natural Science Foundation of China |
This work is licensed under
CC BY 4.0 (Creative Commons Attribution 4.0 International License).
| # | category | title | author | year |
|---|---|---|---|---|
| 1 | paper | 2021 | ||
| 2 | paper | 2021 |
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