气候变化领域集成服务门户(CCPortal): Decision tree-based detection of blowing snow events in the European Alps

CCPortal

DOI	10.5194/hess-25-3783-2021
	Decision tree-based detection of blowing snow events in the European Alps
	Xie, Zhipeng; Ma, Weiqiang; Ma, Yaoming; Hu, Zeyong; Sun, Genhou; Han, Yizhe; Hu, Wei; Su, Rongmingzhu; Fan, Yixi
通讯作者	Xie, ZP (通讯作者)，Chinese Acad Sci, Inst Tibetan Plateau Res, State Key Lab Tibetan Plateau Earth Syst Resource, Land Atmosphere Inter, Beijing 100101, Peoples R China.
发表日期	2021
ISSN	1027-5606
EISSN	1607-7938
起始页码	3783
结束页码	3804
卷号	25 期号:7
英文摘要	Blowing snow processes are crucial in shaping the strongly heterogeneous spatiotemporal distribution of snow and in regulating subsequent snowpack evolution in mountainous terrain. Although empirical formulae and constant threshold wind speeds have been widely used to estimate the occurrence of blowing snow in regions with sparse observations, the scarcity of in situ observations in mountainous regions contrasts with the demands of models for reliable observations at high spatiotemporal resolution. Therefore, these methods struggle to accurately capture the high local variability of blowing snow. This study investigated the potential capability of the decision tree model (DTM) to detect blowing snow in the European Alps. The DTMs were constructed based on routine meteorological observations (mean wind speed, maximum wind speed, air temperature and relative humidity) and snow measurements (including in situ snow depth observations and satellite-derived products). Twenty repetitions of a random sub-sampling validation test with an optimal size ratio (0.8) between the training and validation subsets were applied to train and assess the DTMs. Results show that the maximum wind speed contributes most to the classification accuracy, and the inclusion of more predictor variables improves the overall accuracy. However, the spatiotemporal transferability of the DTM might be limited if the divergent distribution of wind speed exists between stations. Although both the site-specific DTMs and site-independent DTM show great ability in detecting blowing snow occurrence and are superior to commonly used empirical parameterizations, specific assessment indicators varied between stations and surface conditions. Events for which blowing snow and snowfall occurred simultaneously were detected the most reliably. Although models failed to fully reproduce the high frequency of local blowing snow events, they have been demonstrated to be a promising approach requiring limited meteorological variables and have the potential to scale to multiple stations across different regions.
关键词	THRESHOLD WIND-SPEEDS ACOUSTIC SENSOR ICE-SHEET SNOWDRIFT MODEL TRANSPORT CLIMATE DISTRIBUTIONS ENVIRONMENTS SENSITIVITY
语种	英语
WOS研究方向	Geology ; Water Resources
WOS类目	Geosciences, Multidisciplinary ; Water Resources
WOS记录号	WOS:000670625500001
来源期刊	HYDROLOGY AND EARTH SYSTEM SCIENCES
来源机构	中国科学院西北生态环境资源研究院
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/254680
作者单位	[Xie, Zhipeng; Ma, Weiqiang; Ma, Yaoming; Han, Yizhe; Hu, Wei; Su, Rongmingzhu; Fan, Yixi] Chinese Acad Sci, Inst Tibetan Plateau Res, State Key Lab Tibetan Plateau Earth Syst Resource, Land Atmosphere Inter, Beijing 100101, Peoples R China; [Hu, Zeyong] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Land Surface Proc & Climate Change Cold &, Lanzhou 730000, Peoples R China; [Sun, Genhou] Sun Yat Sen Univ, Sch Atmospher Sci, 135 Xingang Xi Rd, Guangzhou 510275, Peoples R China; [Ma, Weiqiang; Ma, Yaoming; Han, Yizhe; Hu, Wei; Su, Rongmingzhu; Fan, Yixi] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Xie, Zhipeng,Ma, Weiqiang,Ma, Yaoming,et al. Decision tree-based detection of blowing snow events in the European Alps[J]. 中国科学院西北生态环境资源研究院,2021,25(7).
APA	Xie, Zhipeng.,Ma, Weiqiang.,Ma, Yaoming.,Hu, Zeyong.,Sun, Genhou.,...&Fan, Yixi.(2021).Decision tree-based detection of blowing snow events in the European Alps.HYDROLOGY AND EARTH SYSTEM SCIENCES,25(7).
MLA	Xie, Zhipeng,et al."Decision tree-based detection of blowing snow events in the European Alps".HYDROLOGY AND EARTH SYSTEM SCIENCES 25.7(2021).