Results 51 to 60 of about 22,971 (167)

Spatio-temporal snow data assimilation with the ICESat-2 laser altimeter [PDF]

The Cryosphere
The satellite laser altimeter ICESat-2 provides accurate surface elevation observations across the globe. With a high-resolution digital elevation model (DEM), we can use such measurements to retrieve snow depth profiles even in remote areas where snow ...
M. Mazzolini, K. Aalstad, E. Alonso-González, S. Westermann, D. Treichler   +4 more
doaj   +1 more source

Predicting snow depth with people

Eos, Transactions American Geophysical Union, 1988
Meteorologists are using a technique based on human observations to calibrate a Doppler radar method of predicting how much snow will fall in major storms.In a new program sponsored by the National Oceanic and Atmospheric Administration (NOAA), several dozen volunteers will record information about the shape and size of snowflakes and measure the depth
openaire   +1 more source

Georeferenced Snow Depth and Snow Water Equivalent Dataset (2025) from East Kazakhstan Region

Data
In this work, we present the Snow Depth and Snow Water Equivalent Dataset for specific areas located in the East Kazakhstan Region that can be exploited to monitor and understand water resource dynamics in mountain regions. The present dataset represents
Dmitry Chernykh, Roman Biryukov, Lilia Lubenets, Andrey Bondarovich, Nurassyl Zhomartkan, Almasbek Maulit, Dauren Nurekenov, Kamilla Rakhymbek, Yerzhan Baiburin, Aliya Nugumanova   +9 more
doaj   +1 more source

Assimilation of L-band interferometric synthetic aperture radar (InSAR) snow depth retrievals for improved snowpack quantification [PDF]

The Cryosphere
The integration of snow hydrology models and remote sensing observations via data assimilation is a promising method to capture the dynamics of seasonal snowpacks at a high spatial resolution and to reduce uncertainty with respect to snow water resources.
P. Shrestha, A. P. Barros
doaj   +1 more source

Modelling the spatial variability of maximum mountain snow depth in Northern Norway

Nordia Geographical Publications, 2016
Snow depth is highly variant in wind-dominant mountain environments. The variation is especially high at local scales. Winter maximum snow depth influences the ground temperatures and the beginning of the growing season.
Pauliina Björk
doaj  

Experimentally increased snow depth affects high Arctic microarthropods inconsistently over two consecutive winters. [PDF]

Sci Rep, 2022
Krab EJ, Lundin EJ, Coulson SJ, Dorrepaal E, Cooper EJ.   +4 more
europepmc   +1 more source

Estimating Snow Depth Using Multi-Source Data Fusion Based on the D-InSAR Method and 3DVAR Fusion Algorithm

Remote Sensing, 2017
Snow depth is a general input variable in many models of agriculture, hydrology, climate, and ecology. However, there are some uncertainties in the retrieval of snow depth by remote sensing.
Yang Liu, Lanhai Li, Jinming Yang, Xi Chen, Jiansheng Hao   +4 more
doaj   +1 more source

Snow depth drives habitat selection by overwintering birds in built-up areas, farmlands and forests. [PDF]

J Biogeogr, 2022
Deshpande P, Lehikoinen P, Thorogood R, Lehikoinen A.   +3 more
europepmc   +1 more source

Compound changes in temperature and snow depth lead to asymmetric and nonlinear responses in landscape freeze-thaw. [PDF]

Sci Rep, 2022
Hatami S, Nazemi A.
europepmc   +1 more source

Average Maximum Snow Depth

, 2010
This map shows the average maximum snow depth in centimetres computed over 18 winter seasons (1979 to 1997). Over southern Canada this usually occurs in January or February, while the time of maximum accumulation occurs much later in mountain areas and in the Arctic.
openaire   +1 more source