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 …
Continental-scale streamflow modeling of basins with reservoirs: Towards a coherent deep-learning-based strategy
A large fraction of major waterways have dams influencing streamflow, which must be
accounted for in large-scale hydrologic modeling. However, daily streamflow prediction for …
accounted for in large-scale hydrologic modeling. However, daily streamflow prediction for …
Spatial downscaling of streamflow data with attention based spatio-temporal graph convolutional networks
Accurate streamflow data is vital for various climate modeling applications, including flood
forecasting. However, many streams lack sufficient monitoring due to the high operational …
forecasting. However, many streams lack sufficient monitoring due to the high operational …
Augmentation and Extrapolation of Streamflow and Rainfall Datasets Using Deep Learning
M Sit - 2023 - search.proquest.com
The literature on deep learning applications for hydrologic research could be broadly
summarized as repeated usage of the similar deep learning architectures for new regions …
summarized as repeated usage of the similar deep learning architectures for new regions …
[PDF][PDF] HYDRO 2024 INTERNATIONAL
A Deshmukh - ankitdeshmukh.com
Large-Sample Hydrology to Improve Prediction in Ungauged Basin using Information Theory
Techniques HYDRO 2024 INTERNATIONAL Page 1 Large-Sample Hydrology to Improve …
Techniques HYDRO 2024 INTERNATIONAL Page 1 Large-Sample Hydrology to Improve …