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Comparison of deep learning models and a typical process-based model in glacio-hydrology simulation
Glacier hydrology has profound implications for socio-economic development and nature
conservation in arid Central Asia. Process-based hydrological models, which are the …
conservation in arid Central Asia. Process-based hydrological models, which are the …
[HTML][HTML] Future water temperature of rivers in Switzerland under climate change investigated with physics-based models
River ecosystems are highly sensitive to climate change and projected future increase in air
temperature is expected to increase the stress for these ecosystems. Rivers are also an …
temperature is expected to increase the stress for these ecosystems. Rivers are also an …
A global perspective on the development and application of glacio-hydrological model
C Yang, X Wang, S Kang, M Xu, Y Zhang, J Wei… - Journal of Hydrology, 2025 - Elsevier
Glacio-hydrological models have been increasingly utilized to evaluate hydrological
responses to climate change in glacierized regions, particularly at the catchment and basin …
responses to climate change in glacierized regions, particularly at the catchment and basin …
Extreme hydrometeorological events induce abrupt and widespread freshwater temperature changes across the Pacific Northwest of North America
Abstract The Pacific Northwest of North America experienced four extreme
hydrometeorological events during 2021 including intense cold waves in mid-February and …
hydrometeorological events during 2021 including intense cold waves in mid-February and …
Investigating hydrological transport pathways of dissolved organic carbon in cold region watershed based on a watershed biogeochemical model
Dissolved organic carbon (DOC) is a significant component of regional and global carbon
cycles and an important surface water quality indicator. DOC affects the processes of …
cycles and an important surface water quality indicator. DOC affects the processes of …
Improving process-based prediction of stream water temperature in SWAT using semi-Lagrangian formulation
Accurately predicting stream water temperature at large scales requires modeling
techniques that account for various physical, chemical, and biological processes that …
techniques that account for various physical, chemical, and biological processes that …
Identifying structural priors in a hybrid differentiable model for stream water temperature modeling
Although deep learning models for stream temperature (Ts) have recently shown
exceptional accuracy, they have limited interpretability and cannot output untrained …
exceptional accuracy, they have limited interpretability and cannot output untrained …
Assessment of recent changes (2011–2020) in glacier thickness and runoff variability in Gangotri glacier, India
Recent evidence shows a noticeable reduction in the glacier mass in the Himalaya due to
increasing temperatures, and therefore the downstream water availability is becoming …
increasing temperatures, and therefore the downstream water availability is becoming …
[HTML][HTML] Revisiting the hydrological basis of the Budyko framework with the principle of hydrologically similar groups
Y Chen, X Chen, M Xue, C Yang… - Hydrology and Earth …, 2023 - hess.copernicus.org
The Budyko framework is a simple and effective tool for estimating the water balance of
watersheds. Quantification of the watershed-characteristic-related parameter (Pw) is critical …
watersheds. Quantification of the watershed-characteristic-related parameter (Pw) is critical …
[HTML][HTML] Geography and geographical knowledge contribute decisively to all Sustainable Development Goals targets
Geography is a discipline that touches multiple sciences and has been key to bridging
numerous fields of knowledge. This gives geography the advantage of connecting natural …
numerous fields of knowledge. This gives geography the advantage of connecting natural …