CSTR:11738.11.ncdc.isnow.db2517.2022
10.12072/ncdc.I-SNOW.db0021.2021
<pre><code> <pre><code> &lt;p&gt;The dynamic change of snow cover in the Qinghai Tibet Plateau has an important impact on regional energy balance, hydrology, climate and ecological environment. Because the seasonal snow in the Qinghai Tibet Plateau mostly presents the distribution characteristics of shallow snow layer and patch shape, the number of snow days will better reflect the temporal and spatial distribution characteristics. Based on the modis-ndsi data with a spatial resolution of 500m, the remote sensing monitoring data set of snow days in Qinghai Province (2002-2021) is prepared through the steps of daily snow cover extraction, snow days synthesis and station data correction. After the comparison of the observation data of 51 surface meteorological stations in Qinghai Province over the same period, the data has high accuracy. The data set will provide data support for snow dynamic change monitoring, snow disaster assessment and climate change research. The data set includes 1 folder, including 24 snow days in TIF format&lt;/p&gt;
<pre><code> <pre><code> &lt;pre&gt;&lt;code&gt;
In this paper, the daily snow remote sensing product with spatial resolution of 500 m (product No.: mod10a1) is selected. The mod10a1 data is downloaded from the U.S. snow and Ice Data Center at the address: https://nsidc.org/ After data retrieval, the product line numbers covering Qinghai Province are h25v05 and h26v05 respectively,
<pre><code> <pre><code> &lt;pre&gt;&lt;code&gt;
The production process of snow days data set in Qinghai Province is mainly divided into four steps: data acquisition and preprocessing, daily snow coverage extraction, snow days synthesis and station correction, accuracy verification and output. The input original data is the mod10a1 V6 version data from October 2003 to may 2021. The accuracy verification adopts the manual observation data of ground meteorological stations, and the final output is the snow days data of Qinghai Province in the snow season from 2003 to 2021.
<pre><code> <pre><code> &lt;pre&gt;&lt;code&gt;
Taking the snow days manually observed by ground stations as the "true value", the accuracy of the snow days data set made in this paper is tested one by one. In each snow season, the correlation degree of snow days between the two is high, which is 0.65-0.86, and the relative error is maintained at ± 15%. Figure 2 shows the spatial distribution of snow days in Qinghai Province during the 2017 and 2019 snow seasons,
| # | number | name | type |
| 1 | 41961012 | National Natural Science Foundation of China | |
| 2 | 41761078 | National Natural Science Foundation of China | |
| 3 | 2019QZKK0106 | other | |
| 4 | QXZD2021-11 | other | |
| 5 | 2019-ZJ-7036 | Gansu science and technology research project |
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CC BY 4.0 (Creative Commons Attribution 4.0 International License).
