globalchange  > 气候变化事实与影响
CSCD记录号: CSCD:6142166
论文题名:
2015 ~ 2016年青藏高原积雪深度自动观测数据集
其他题名: A dataset for automatically measured snow depth on the Tibetan Plateau (2015 - 2016)
作者: 蒋玲梅1; 徐维新2; 张娟2; 王功雪1; 刘晓敬1; 赵少杰1
刊名: 中国科学数据
ISSN: 2096-2223
出版年: 2017
卷: 2, 期:2, 页码:46-52
语种: 中文
中文关键词: 积雪深度 ; 青藏高原 ; 积雪监测 ; 土壤水分 ; 遥感验证
英文关键词: snow depth ; Tibetan Plateau ; snow monitoring ; soil moisture ; validation of remote sensing snow products
WOS学科分类: MULTIDISCIPLINARY SCIENCES
WOS研究方向: Science & Technology - Other Topics
中文摘要: 积雪是冰冻圈中最为活跃的要素之一,积雪监测对雪灾评估、水文预报与气候变化研究等具有重要意义。自2015年9月起,我们建立了包括10个站点的青藏高原积雪深度连续自动观测网络。观测网主要采用SR50A超声波测距传感器与Hydra Probe II土壤多参数传感器,获取近实时积雪深度与土壤水分等观测数据。积雪深度测量精度约1 cm,土壤水分精度约为3%。本数据集有望为该地区遥感积雪产品的质量验证,以及为高原地区的积雪灾害实时监测提供重要数据源。
英文摘要: Because snow cover is one of the most active elements of the cryosphere, snow monitoring is important for blizzard monitoring, hydrological forecasting, and climate change studies. In September 2015, we established an automatic network of ten stations to continuously measure the snow depth on the Tibetan Plateau. Each station is equipped with an SR50A sonic ranging sensor and a Hydra Probe II soil sensor to measure snow depth, soil moisture, and other soil properties in near real time. The accuracy of the snow depth and soil moisture of this dataset reaches about 1 cm and 3%, respectively. This dataset will be helpful for snow disaster monitoring and the evaluation of snow cover products derived from satellites.
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/153474
Appears in Collections:气候变化事实与影响

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作者单位: 1.北京师范大学地理科学学部遥感科学与工程研究院, 遥感科学国家重点实验室, 北京 100875, 中国
2.青海省气象科学研究所, 西宁, 青海 810001, 中国

Recommended Citation:
蒋玲梅,徐维新,张娟,等. 2015 ~ 2016年青藏高原积雪深度自动观测数据集[J]. 中国科学数据,2017-01-01,2(2):46-52
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