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Ismael Orozco, Félix Francés and Jesús Mora
The success of hydrological modeling of a high mountain basin depends in most case on the accurate quantification of the snowmelt. However, mathematically modeling snowmelt is not a simple task due to, on one hand, the high number of variables that can b...
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Tomás R. Bolaño-Ortiz, Viverlys L. Díaz-Gutiérrez, Andrés M. Vélez-Pereira, Eliana L. Vergara-Vásquez and Yiniva Camargo-Caicedo
This article investigates the snow albedo changes in Colombian tropical glaciers, namely, Sierra Nevada de Santa Marta (SNSM), Sierra Nevada del Cocuy (NSC), Nevado del Ruíz (NDR), Nevado Santa Isabel (NDS), Nevado del Tolima (NDT), and Nevado del Huila ...
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Susen Shrestha, Mattia Zaramella, Mattia Callegari, Felix Greifeneder and Marco Borga
This study aims to evaluate the potential of ERA5 precipitation and temperature reanalysis for snow water equivalent (SWE) simulation by considering the role of catchment spatial scale in controlling the errors obtained by comparison with corresponding S...
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Marko Kaasik, Outi Meinander, Leena Leppänen, Kati Anttila, Pavla Dagsson-Waldhauserova, Anders Ginnerup, Timo Hampinen, Yijing Liu, Andri Gunnarsson, Kirsty Langley and Ali Nadir Arslan
Snow sampling, either by inserting a tube through the entire snowpack or by taking samples from the vertical profile, is widely applied to measure the snow depth, density, and snow water equivalent (SWE). A comparative study of snow-sampling methods was ...
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Gabriel B. Senay, Stefanie Kagone, Gabriel E. L. Parrish, Kul Khand, Olena Boiko and Naga M. Velpuri
We enhanced the agro-hydrologic VegET model to include snow accumulation and melt processes and the separation of runoff into surface runoff and deep drainage. Driven by global weather datasets and parameterized by land surface phenology (LSP), the enhan...
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Viktor Blagovechshenskiy, Akhmetkal Medeu, Tamara Gulyayeva, Vitaliy Zhdanov, Sandugash Ranova, Aidana Kamalbekova and Ulzhan Aldabergen
The assessment and forecast of avalanche danger are very important means of preventing avalanche fatalities, especially in recreational areas. The use of artificial intelligence methods for these purposes significantly increases the accuracy of avalanche...
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Jeff B. Langman, Julianna Martin, Ethan Gaddy, Jan Boll and David Behrens
A snowpack?s d2H and d18O values evolve with snowfall, sublimation, evaporation, and melt, which produces temporally variable snowpack, snowmelt, and runoff isotope signals. As a snowpack ages, the relatively depleted d2H and d18O values of snow will bec...
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Steven R. Fassnacht, Caroline R. Duncan, Anna K. D. Pfohl, Ryan W. Webb, Jeffrey E. Derry, William E. Sanford, Danielle C. Reimanis and Lenka G. Doskocil
The presence of dust on the snowpack accelerates snowmelt. This has been observed through snowpack and hydrometeorological measurements at a small study watershed in southwestern Colorado. For a 13-year period, we quantified the annual dust-enhanced ener...
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Benjamin J. Hatchett, Alan M. Rhoades and Daniel J. McEvoy
Snowpack loss in midlatitude mountains is ubiquitously projected by Earth system models, though the magnitudes, persistence, and time horizons of decline vary. Using daily downscaled hydroclimate and snow projections, we examine changes in snow seasonali...
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Ramesh Shrestha, Biplob Rakhal, Tirtha Raj Adhikari, Ganesh Raj Ghimire, Rocky Talchabhadel, Dinee Tamang, Radhika KC and Sanjib Sharma
Climate change and climate variability drive rapid glacier melt and snowpack loss, extreme precipitation and temperature events, and alteration of water availability in the Himalayas. There is increasing observational evidence of climate change impacts o...
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