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Spatial modeling of extreme snow depth
The Annals of Applied Statistics, 2011 The spatial modeling of extreme snow is important for adequate risk management in Alpine and high altitude countries. A natural approach to such modeling is through the theory of max-stable processes, an infinite-dimensional extension of multivariate ...
Blanchet, Juliette, Davison, Anthony C.
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Snow depth measurements from Arctic tundra and boreal forest collected during NASA SnowEx Alaska campaign [PDF]
Scientific DataBoreal forest and Arctic tundra environments collectively hold the largest percentage of global terrestrial seasonal snow cover. Тhe in-situ snow measurement network is sparse and costly in these remote northern regions. Here, we complement existing snow
Svetlana L. Stuefer +7 more
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Remote Sensing, 2021 Snow depth distribution in the Qinghai-Tibetan plateau is important for atmospheric circulation and surface water resources. In-situ observations at meteorological stations and remote observation by passive microwave remote sensing technique are two main
Pengtao Wei +6 more
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Snow Depth Fusion Based on Machine Learning Methods for the Northern Hemisphere
Remote Sensing, 2021 In this study, a machine learning algorithm was introduced to fuse gridded snow depth datasets. The input variables of the machine learning method included geolocation (latitude and longitude), topographic data (elevation), gridded snow depth datasets ...
Yanxing Hu, Tao Che, Liyun Dai, Lin Xiao
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Snow Depth Inversion in Forest Areas from Sentinel-1 Data Based on Phase Deviation Correction
Remote Sensing, 2022 At present, snow depth inversion based on active microwave remote sensing is concerned essentially with areas having a relatively simple underlying surface.
Yu Li, Xinyue Zhao, Quanhua Zhao
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Mapping snow depth on Canadian sub-arctic lakes using ground-penetrating radar [PDF]
The Cryosphere, 2023 Ice thickness across lake ice is mainly influenced by the presence of snow and its distribution, which affects the rate of lake ice growth. The distribution of snow depth over lake ice varies due to wind redistribution and snowpack metamorphism ...
A. F. Pouw +5 more
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Snowpack Distribution Using Topographical, Climatological and Winter Season Index Inputs
Atmosphere, 2021 A majority of the annual precipitation in many mountains falls as snow, and obtaining accurate estimates of the amount of water stored within the snowpack is important for water supply forecasting. Mountain topography can produce complex patterns of snow
Douglas M. Hultstrand +3 more
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Intercomparison of photogrammetric platforms for spatially continuous snow depth mapping [PDF]
The Cryosphere, 2021 Snow depth has traditionally been estimated based on point measurements collected either manually or at automated weather stations. Point measurements, though, do not represent the high spatial variability in snow depths present in alpine terrain ...
L. A. Eberhard +7 more
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Applied Sciences, 2021 Accurate simulation of snow cover process is of great significance to the study of climate change and the water cycle. In our study, the China Meteorological Forcing Dataset (CMFD) and ERA-Interim were used as driving data to simulate the dynamic changes
Liming Gao +5 more
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Brief communication: Comparison of in situ ephemeral snow depth measurements over a mixed-use temperate forest landscape [PDF]
The Cryosphere, 2023 The accuracy and precision of snow depth measurements depend on the measuring device and the conditions of the site and snowpack in which it is being used.
H. Proulx +11 more
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