Naturalized and human-influenced streamflow of the Amur River for century-scale hydrological assessment. [PDF]
Feng Y +5 more
europepmc +1 more source
Abstract Accurate hydrological prediction in alpine regions remains challenging due to complex cryospheric processes and limited observational records. Traditional hydrological models are often subject to structural uncertainty, whereas purely data‐driven deep learning (DL) models may lack physical interpretability under non‐stationary climate ...
Jun Mei +7 more
wiley +1 more source
Observed Hydroclimatic Trends and Their Implications Over Water-Cycle Dynamics in Montérégie, Southern Quebec, Canada. [PDF]
Mona J +4 more
europepmc +1 more source
Reconstructing Long‐Term Reservoir Storage in India Using Hydrological Modeling and Machine Learning
Abstract India has one of the largest networks of large dams in the world, where reservoirs play a crucial role in regulating monsoon‐driven water availability for irrigation, hydropower, flood control, and water supply. However, long‐term daily reservoir storage observations are available only from the year 2000 onwards.
Urmin Vegad, Vimal Mishra
wiley +1 more source
A century long ensemble streamflow dataset in the Pacific Northwest to support water security assessments. [PDF]
Mizukami N +7 more
europepmc +1 more source
ABSTRACT Accurate estimation of snow water equivalent (SWE) is critical for understanding hydrologic processes in snow‐dominated watersheds. This study presents a method for improving the spatial and temporal resolution of SWE estimates using low‐cost snow depth sensors, manual snow sampling, and snow density data from nearby SNOwpack TELemetry (SNOTEL)
Braedon Dority, Jeffery S. Horsburgh
wiley +1 more source
A theoretical approach to the remediation of saline streamflow conditions downstream of the Nwanedi catchment reservoir. [PDF]
Gumbo AD +7 more
europepmc +1 more source
RNSTM: A Network‐Link Approach to Streamflow Temperature Modeling
ABSTRACT This work presents the development and validation of the River Network Streamflow Temperature Model (RNSTM), which solves the energy balance equations at the air‐water interface within the channels to estimate their temperature. RNSTM considers solar radiation, net longwave radiation, evaporative heat flux, and convective heat transfer ...
Valeria García‐Múnera +4 more
wiley +1 more source
Machine Learning-Based Reconstructions of Historical Daily and Monthly Runoff for the Laurentian Great Lakes. [PDF]
Gupta RS, Wi S, Steinschneider S.
europepmc +1 more source
ABSTRACT This study demonstrates that flow resistance in rivers, quantified via calibration of a modified Manning's equation, can inform its estimation from channel hydrometric information available from regional or global datasets for a limited set (N = 14) of rigorously calibrated river reaches in Alaska and with less certainty in a large set (N ...
David M. Bjerklie +6 more
wiley +1 more source

