Performance of the Standard Normal Homogeneity Test for the homogenization of mean seasonal snow depth time series
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Climatology"
DOI: 10.1002/joc.4977
Abstract: Time series of snow depth bear relevant information for environmental studies in Alpine areas. In addition, due to its sensitivity to air temperature, snow depth dynamic is a robust indicator of climate change effects in… read more here.
Keywords: snow depth; mean seasonal; time series;
Spatiotemporal patterns of snow depth within the Swiss-Austrian Alps for the past half century (1961 to 2012) and linkages to climate change
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Climatology"
DOI: 10.1002/joc.5902
Abstract: Funding information Klima und Energiefonds Austrian Climate Research Programme, Grant/Award Number: KR11AC0K00325 Our current knowledge on multi-decadal to centennial changes of snow in different parts of the world is based largely on observations of snow… read more here.
Keywords: depth; change; station records; 1961 2012 ... See more keywords
Multitemporal Accuracy and Precision Assessment of Unmanned Aerial System Photogrammetry for Slope-Scale Snow Depth Maps in Alpine Terrain
Sign Up to like & getrecommendations! Published in 2017 at "Pure and Applied Geophysics"
DOI: 10.1007/s00024-017-1748-y
Abstract: Reliable and timely information on the spatio-temporal distribution of snow in alpine terrain plays an important role for a wide range of applications. Unmanned aerial system (UAS) photogrammetry is increasingly applied to cost-efficiently map the… read more here.
Keywords: alpine terrain; accuracy; photogrammetry; snow depth ... See more keywords
Comparison of Arctic sea ice thickness and snow depth estimates from CFSR with in situ observations
Sign Up to like & getrecommendations! Published in 2017 at "Climate Dynamics"
DOI: 10.1007/s00382-017-3607-z
Abstract: Sea ice growth is modulated by snow cover, and understanding this relationship requires an accurate determination of snow depth. However, a lack of in situ measurements complicates understanding of the interaction of snow depth with… read more here.
Keywords: snow depth; cfsr; ice; sea ice ... See more keywords
How do westerly jet streams regulate the winter snow depth over the Tibetan Plateau?
Sign Up to like & getrecommendations! Published in 2019 at "Climate Dynamics"
DOI: 10.1007/s00382-018-4589-1
Abstract: The linkages between upper-level westerly jet streams and snow depth over the Tibetan Plateau (TP) in winter (from November to the following April) were investigated for the period 1979–2014 using satellite-borne passive microwave retrievals of… read more here.
Keywords: tibetan plateau; snow depth; jet; winter ... See more keywords
Distribution of snow depth variability
Sign Up to like & getrecommendations! Published in 2018 at "Frontiers of Earth Science"
DOI: 10.1007/s11707-018-0714-z
Abstract: Snow depth is the easiest snowpack property to measure in the field and is used to estimate the distribution of snow for quantifying snow storage. Often the mean of three snow depth measurements is used… read more here.
Keywords: depth; distribution snow; variability; snow depth ... See more keywords
Avoiding errors attributable to topography in GPS-IR snow depth retrievals
Sign Up to like & getrecommendations! Published in 2017 at "Advances in Space Research"
DOI: 10.1016/j.asr.2016.12.031
Abstract: Abstract Global Positioning System (GPS) interferometric reflectometry represents a potential source of new snow data for climate scientists and water managers with spatial and temporal sensitivity. Generally, the snow layer fluctuation is considered to be… read more here.
Keywords: topography; avoiding errors; errors attributable; snow depth ... See more keywords
Spatiotemporal changes in snow cover over China during 1960–2013
Sign Up to like & getrecommendations! Published in 2019 at "Atmospheric Research"
DOI: 10.1016/j.atmosres.2018.11.018
Abstract: Abstract Snow cover is highly sensitive to global warming, and it, in return, has huge impacts on global and regional climate change. Because of the limitations of in-situ observations, only a few studies have analyzed… read more here.
Keywords: number snow; cover days; snow cover; snow depth ... See more keywords
Fully-automated estimation of snow depth in near real time with the use of unmanned aerial vehicles without utilizing ground control points
Sign Up to like & getrecommendations! Published in 2017 at "Cold Regions Science and Technology"
DOI: 10.1016/j.coldregions.2017.03.006
Abstract: Abstract A new method for on-demand production of a numerical snow depth map, based on observations carried out in near real time by an unmanned aerial vehicle (UAV), is elaborated. The novelty of the approach… read more here.
Keywords: snow depth; depth; estimation; dense point ... See more keywords
Forcing and evaluating detailed snow cover models with stratigraphy observations
Sign Up to like & getrecommendations! Published in 2020 at "Cold Regions Science and Technology"
DOI: 10.1016/j.coldregions.2020.103163
Abstract: Abstract Snow cover models such as Crocus or S nowpack have been designed to simulate the detailed stratigraphy of snow properties. This is relevant, for instance, to assess snowpack stability in support of avalanche forecasting.… read more here.
Keywords: snow cover; snow depth; error; cover models ... See more keywords
On the reliability of a novel MODWT-based hybrid ARIMA-artificial intelligence approach to forecast daily Snow Depth (Case study: The western part of the Rocky Mountains in the U.S.A)
Sign Up to like & getrecommendations! Published in 2021 at "Cold Regions Science and Technology"
DOI: 10.1016/j.coldregions.2021.103342
Abstract: Abstract In this study, a novel algorithm is presented to combine different wavelet transform (WT) approaches comprising discrete wavelet transform (DWT), maximal overlap discrete wavelet transform (MODWT), and multiresolution-based MODWT (MODWT-MRA) along with autoregressive integrated… read more here.
Keywords: wavelet; artificial intelligence; modwt; snow depth ... See more keywords