[HTML][HTML] Hotspots of snow cover changes in global mountain regions over 2000–2018
C Notarnicola - Remote Sensing of Environment, 2020 - Elsevier
Quantification of snow cover changes and related phenology in global mountain areas has
not been consistently addressed, despite the well-known importance of the snow in this …
not been consistently addressed, despite the well-known importance of the snow in this …
Review of snow data assimilation methods for hydrological, land surface, meteorological and climate models: Results from a cost harmosnow survey
J Helmert, A Şensoy Şorman, R Alvarado Montero… - Geosciences, 2018 - mdpi.com
The European Cooperation in Science and Technology (COST) Action ES1404
“HarmoSnow”, entitled,“A European network for a harmonized monitoring of snow for the …
“HarmoSnow”, entitled,“A European network for a harmonized monitoring of snow for the …
[HTML][HTML] Floristic features and vegetation classification of the Hulun Buir steppe in North China: geography and climate-driven steppe diversification
Y Zhu, D Shan, B Wang, Z Shi, X Yang, Y Liu - Global Ecology and …, 2019 - Elsevier
This study aims to present a comprehensive description of the plant communities of the
Hulun Buir Steppe based on floristically complete vegetation records as a baseline …
Hulun Buir Steppe based on floristically complete vegetation records as a baseline …
Modelling climate change impacts on the Brahmaputra streamflow resulting from changes in snowpack attributes
Modelling the impact of climate change on streamflow for remote or data sparse regions is a
challenge for hydrologists, as large datasets are often needed to adequately characterise …
challenge for hydrologists, as large datasets are often needed to adequately characterise …
Contemporary snow changes in the karakoram region attributed to improved modis data between 2003 and 2018
A Thapa, S Muhammad - Water, 2020 - mdpi.com
Snowmelt significantly contributes to meltwater in most parts of High Mountain Asia. The
Karakoram region is one of these densely glacierized and snow-covered regions. Several …
Karakoram region is one of these densely glacierized and snow-covered regions. Several …
Reconstruction of snow depth data at moderate spatial resolution (1 km) from remotely sensed snow data and multiple optimized environmental factors: a case study …
P Wei, T Zhang, X Zhou, G Yi, J Li, N Wang, B Wen - Remote Sensing, 2021 - mdpi.com
Snow depth distribution in the Qinghai-Tibetan plateau is important for atmospheric
circulation and surface water resources. In-situ observations at meteorological stations and …
circulation and surface water resources. In-situ observations at meteorological stations and …
[HTML][HTML] Machine Learning Enhanced by Feature Engineering for Estimating Snow Water Equivalent
This study compares the calculation of snow water equivalent (SWE) using machine
learning algorithms with the conventional degree-day method. The study uses machine …
learning algorithms with the conventional degree-day method. The study uses machine …
Comparison of time trend-and precipitation-informed models for assessing design discharges in variable climate
Estimation of reliable design discharges under variable climate is a key challenge for today's
engineers. Therefore, researchers are intensively exploring different alternative approaches …
engineers. Therefore, researchers are intensively exploring different alternative approaches …
The potential of retrieving snow line dynamics from Landsat during the end of the ablation seasons between 1982 and 2017 in European mountains
Snow cover in the Northern Hemisphere is continuously decreasing during the ablation
seasons in the context of climate change. Snow Line Elevation (SLE) is a suitable indicator …
seasons in the context of climate change. Snow Line Elevation (SLE) is a suitable indicator …
Snow moving to higher elevations: analyzing three decades of snowline dynamics in the Alps
In the Alps, snow cover dynamics can be monitored using Earth observation (EO). However,
low revisit frequency and cloud cover pose a challenge to long‐term time series analysis …
low revisit frequency and cloud cover pose a challenge to long‐term time series analysis …