The European mountain cryosphere: a review of its current state, trends, and future challenges

M Beniston, D Farinotti, M Stoffel, LM Andreassen… - The …, 2018 - tc.copernicus.org
The mountain cryosphere of mainland Europe is recognized to have important impacts on a
range of environmental processes. In this paper, we provide an overview on the current …

Impact of land use change on hydrological systems: A review of current modeling approaches

GS Dwarakish, BP Ganasri - Cogent Geoscience, 2015 - Taylor & Francis
Hydrologic modeling plays a very important role in assessing the seasonal water availability,
which is necessary to take decisions in water resources management. Both climate and land …

The Airborne Snow Observatory: Fusion of scanning lidar, imaging spectrometer, and physically-based modeling for mapping snow water equivalent and snow albedo

TH Painter, DF Berisford, JW Boardman… - Remote Sensing of …, 2016 - Elsevier
Snow cover and its melt dominate regional climate and water resources in many of the
world's mountainous regions. Snowmelt timing and magnitude in mountains are controlled …

Changing Arctic snow cover: A review of recent developments and assessment of future needs for observations, modelling, and impacts

S Bokhorst, SH Pedersen, L Brucker, O Anisimov… - Ambio, 2016 - Springer
Snow is a critically important and rapidly changing feature of the Arctic. However, snow-
cover and snowpack conditions change through time pose challenges for measuring and …

A tightly coupled GIS and distributed hydrologic modeling framework

G Bhatt, M Kumar, CJ Duffy - Environmental modelling & software, 2014 - Elsevier
Distributed, physics-based hydrologic models require spatially explicit specification of
parameters related to climate, geology, land-cover, soil, and topography. Extracting these …

Variation in rising limb of Colorado River snowmelt runoff hydrograph controlled by dust radiative forcing in snow

TH Painter, SMK Skiles, JS Deems… - Geophysical …, 2018 - Wiley Online Library
Common practice and conventional wisdom hold that fluctuations in air temperature control
interannual variability in snowmelt and subsequent river runoff. However, recent …

Snowmelt-driven streamflow prediction using machine learning techniques (LSTM, NARX, GPR, and SVR)

S Thapa, Z Zhao, B Li, L Lu, D Fu, X Shi, B Tang, H Qi - Water, 2020 - mdpi.com
Although machine learning (ML) techniques are increasingly popular in water resource
studies, they are not extensively utilized in modeling snowmelt. In this study, we developed a …

Comparison of deep learning models and a typical process-based model in glacio-hydrology simulation

X Chen, S Wang, H Gao, J Huang, C Shen, Q Li, H Qi… - Journal of …, 2022 - Elsevier
Glacier hydrology has profound implications for socio-economic development and nature
conservation in arid Central Asia. Process-based hydrological models, which are the …

Sensitivity of soil water availability to changing snowmelt timing in the western US

AA Harpold, NP Molotch - Geophysical Research Letters, 2015 - Wiley Online Library
The ecohydrological effects of changing snowmelt are strongly mediated by soil moisture.
We utilize 259 Snow Telemetry stations across the western US to address two questions:(1) …

Evaluating snow models with varying process representations for hydrological applications

J Magnusson, N Wever, R Essery… - Water Resources …, 2015 - Wiley Online Library
Much effort has been invested in developing snow models over several decades, resulting
in a wide variety of empirical and physically based snow models. For the most part, these …