Science of Remote Sensing, 2023 Snow cover extent and distribution over the years have a significant impact on hydrological, terrestrial, and climatologic processes. Snow cover mapping accuracy using remote sensing data is then particularly important. This study analyses Landsat-8 NDSI
Charlotte Poussin +4 more
doaj +1 more source
Estimating fractional snow cover from passive microwave brightness temperature data using MODIS snow cover product over North America [PDF]
The Cryosphere, 2021 The dynamic characteristics of seasonal snow cover are critical for hydrology management, the climate system, and the ecosystem functions. Optical satellite remote sensing has proven to be an effective tool for monitoring global and regional variations ...
X. Xiao +5 more
doaj +1 more source
Adaptation to climate change in Kazakhstan using data from space monitoring of snowmelt [PDF]
E3S Web of Conferences, 2020 The present article is concerned with the applied aspects of applying the results of space monitoring of snow cover, in particular, it is proposed to present the results of the analysis in the form of specialized bulletins.
Zholdasbek Aknur, Kauazov Azamat
doaj +1 more source
Remote Sensing, 2021 Precipitation and snow/ice melt water are the primary water sources in inland river basins in arid areas, and these are sensitive to global climate change.
Youyan Jiang +3 more
doaj +1 more source
Optimization of snow-related parameters in the Noah land surface model (v3.4.1) using a micro-genetic algorithm (v1.7a) [PDF]
Geoscientific Model Development, 2022 Snowfall prediction is important in winter and early spring because snowy conditions generate enormous economic damages. However, there is a lack of previous studies dealing with snow prediction, especially using land surface models (LSMs).
S. Lim +15 more
doaj +1 more source
Evaluation of snow cover and depth simulated by a land-surface model using detailed regional snow observations from Austria [PDF]
, 2010 An evaluation is undertaken of the accuracy with which the Joint UK Land Environment Simulator (JULES) can simulate snow cover and depth when driven using data from the Hadley Centre Regional Climate Model.
Thomas Lafon +8 more
core +1 more source
Implications of spatial distributions of snow mass and melt rate for snow-cover depletion: observations in a subarctic mountain catchment [PDF]
, 2004 Spatial statistics of snow water equivalent (SWE) and melt rate were measured using spatially distributed, sequential ground surveys of depth and density in forested, shrub and alpine tundra environments over several seasons within a 185 km(2) mountain ...
Pomeroy, J +2 more
core +1 more source
Micrometeorological processes driving snow ablation in an Alpine catchment [PDF]
, 2011 Mountain snow covers typically become patchy over the course of a melting season. The snow pattern during melt is mainly governed by the end of winter snow depth distribution and the local energy balance.
C. Manes +15 more
core +1 more source
SNOWMIP2: An evaluation of forest snow process simulation [PDF]
, 2009 The Northern Hemisphere has large areas that are forested and seasonally snow covered. Compared with open areas, forest canopies strongly influence interactions between the atmosphere and snow on the ground by sheltering the snow from wind and solar ...
Essery, Richard +19 more
core +1 more source
Remote Sensing, 2023 Accurate information on snow cover extent plays a crucial role in understanding regional and global climate change, as well as the water cycle, and supports the sustainable development of socioeconomic systems.
Rui He +4 more
doaj +1 more source