The seasonal snow cover dynamics: review on wind-driven coupling processes

R Mott, V Vionnet, T Grünewald - Frontiers in Earth Science, 2018 - frontiersin.org
The temporal evolution of seasonal snow cover and its spatial variability in environments
such as mountains, prairies or polar regions is strongly influenced by the interactions …

Representing spatial variability of snow water equivalent in hydrologic and land‐surface models: A review

MP Clark, J Hendrikx, AG Slater… - Water Resources …, 2011 - Wiley Online Library
This paper evaluates the use of field data on the spatial variability of snow water equivalent
(SWE) to guide the design of distributed snow models. An extensive reanalysis of results …

[HTML][HTML] Our skill in modeling mountain rain and snow is bypassing the skill of our observational networks

J Lundquist, M Hughes, E Gutmann… - Bulletin of the …, 2019 - journals.ametsoc.org
In mountain terrain, well-configured high-resolution atmospheric models are able to simulate
total annual rain and snowfall better than spatial estimates derived from in situ observational …

Towards a comprehensive assessment of model structural adequacy

HV Gupta, MP Clark, JA Vrugt… - Water Resources …, 2012 - Wiley Online Library
The past decade has seen significant progress in characterizing uncertainty in
environmental systems models, through statistical treatment of incomplete knowledge …

Spatial and temporal variability of snow depth and ablation rates in a small mountain catchment

T Grünewald, M Schirmer, R Mott, M Lehning - The Cryosphere, 2010 - tc.copernicus.org
The spatio-temporal variability of the mountain snow cover determines the avalanche
danger, snow water storage, permafrost distribution and the local distribution of fauna and …

Exploring the impact of forcing error characteristics on physically based snow simulations within a global sensitivity analysis framework

MS Raleigh, JD Lundquist… - Hydrology and Earth …, 2015 - hess.copernicus.org
Physically based models provide insights into key hydrologic processes but are associated
with uncertainties due to deficiencies in forcing data, model parameters, and model …

Multi-scale snowdrift-permitting modelling of mountain snowpack

V Vionnet, CB Marsh, B Menounos… - The Cryosphere …, 2020 - tc.copernicus.org
The interaction of mountain terrain with meteorological processes causes substantial
temporal and spatial variability in snow accumulation and ablation. Processes impacted by …

Small scale spatial variability of snow density and depth over complex alpine terrain: Implications for estimating snow water equivalent

JI López-Moreno, SR Fassnacht, JT Heath… - Advances in water …, 2013 - Elsevier
This study analyzes spatial variability of snow depth and density from measurements made
in February and April of 2010 and 2011 in three 1–2km2 areas within a valley of the central …

Understanding snow-transport processes sha** the mountain snow-cover

R Mott, M Schirmer, M Bavay, T Grünewald… - The …, 2010 - tc.copernicus.org
Mountain snow-cover is normally heterogeneously distributed due to wind and precipitation
interacting with the snow cover on various scales. The aim of this study was to investigate …

Range edges in heterogeneous landscapes: Integrating geographic scale and climate complexity into range dynamics

MF Oldfather, MM Kling, SN Sheth… - Global Change …, 2020 - Wiley Online Library
The impacts of climate change have re‐energized interest in understanding the role of
climate in setting species geographic range edges. Despite the strong focus on species' …