Results 121 to 130 of about 7,730 (244)

Global River Discharge Projections From a Large Multi‐Model Ensemble of CMIP6 and ISIMIP3b Simulations

Earth's Future, Volume 14, Issue 8, August 2026.
Abstract Rivers are central to the global hydrological cycle, supporting ecosystems and human water use. River discharge, one of the best observed hydrological variables, is expected to change under anthropogenic warming with potentially devastating consequences.
P. B. Seubert, S. Thober, D. L. Schumacher, S. I. Seneviratne, L. Gudmundsson   +4 more
wiley   +1 more source

Agricultural tile drains increase the susceptibility of streams to longer and more intense streamflow droughts

Environmental Research Letters
Streamflow droughts are receiving increased attention worldwide due to their impact on the environment and economy. One region of concern is the Midwestern United States, whose agricultural productivity depends on subsurface pipes known as tile drains to
Seth R Adelsperger, Darren L Ficklin, Scott M Robeson, Margaret A Zimmer, John C Hammond, Damon M Hall, J P Gannon   +6 more
doaj   +1 more source

Riverine Biogeochemical Exports From Major Watersheds to the Northwest Patagonian Estuarine Network

Journal of Geophysical Research: Biogeosciences, Volume 131, Issue 8, August 2026.
Abstract River discharge considerably influences marine ecosystems through hydrological and biogeochemical drivers. Measuring baseline variability of riverine inputs, and their relation to anthropogenic land‐use impacts and global climate stressors affecting watersheds is therefore crucial for managing coastal marine ecosystems.
Sage Fox, Jorge León‐Muñoz, Brian Reid, Anna Astorga‐Roine, Rodrigo Aguayo, Paulo Moreno‐Meynard, Lydia Blanchet, David E. Butman   +7 more
wiley   +1 more source

Syndrome Of The Metro Urban Streamflow In Malang City, Indonesia

Jurnal Pembangunan dan Alam Lestari, 2013
Purpose of this research was to describe the quality of streamflow water and community behavior around the streamflow in utilizing water. It is found that  an increasing number of residents in the Malang city along the Metro strteamflow have resulted in
Azwar Ali, Mangku Purnomo, Soemarno Soemarno   +2 more
doaj  

Multi‐Model Ensemble and Reservoir Computing for River Discharge Prediction in Ungauged Basins

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract Despite the necessity for accurate flood prediction, many regions lack sufficient river discharge observations. Although numerous models for daily river discharge prediction exist, achieving high accuracy, interpretability, and efficiency under data‐scarce conditions remains a major challenge.
Mizuki Funato, Yohei Sawada
wiley   +1 more source

A Roadmap for Identifying and Interpreting Physical Processes and National Water Model Prediction Bias Associated With Baseflow Index Regimes Across the Contiguous United States

Water Resources Research, Volume 62, Issue 8, August 2026.
Abstract Understanding how groundwater–surface water interactions shape streamflow variability is critical for diagnosing low flow behavior and prediction bias in continental scale hydrologic models. We present a process informed framework that links observed baseflow (BF) dynamics, watershed attributes, and National Water Model (NWM) performance ...
Ryan van der Heijden, Ali Dadkhah, Scott Hamshaw, Mandar Dewoolkar, Ehsan Ghazanfari, Norm Jones, Gustavious Williams, Prabhakar Clement, Donna M. Rizzo   +8 more
wiley   +1 more source

Ecological Restoration of a Cultivated Wetland to Enhance Nitrogen Retention in a Rapidly Developing Watershed

Water Resources Research, Volume 62, Issue 8, August 2026.
Abstract For much of the coastal United States, water quality continues to worsen due to excess nitrogen (N) from agricultural production and urban development. Restoration of freshwater wetlands, especially those connected to streams (i.e., fluvial wetlands), is a promising management option for curtailing watershed inputs of N to coastal embayments ...
Casey D. Kennedy, Adrian Wiegman, Molly Welsh, Anthony Buda, David Millar   +4 more
wiley   +1 more source

Applying Transfer Learning for Street‐Scale Nuisance Flood Forecasting in Coastal‐Urban Environments

Water Resources Research, Volume 62, Issue 8, August 2026.
Abstract An important challenge with Machine Learning (ML) is its transferability; that is, whether an ML model trained on one set of data can be applied to a second set of data without requiring full retraining of the model. Transfer Learning (TL) addresses this challenge by transferring knowledge learned in the source domain (the data it was trained ...
Binata Roy, Jonathan L. Goodall, Diana McSpadden, Chetan Kumar, Steven Goldenberg, Yidi Wang, Malachi Schram   +6 more
wiley   +1 more source

Forecasting Coastal ENSO Warming in the Niño 1+2 Region Using ConvLSTM: Toward Improved Early Warning in Peru and Ecuador

Water Resources Research, Volume 62, Issue 8, August 2026.
Abstract Accurate forecasting of the El Niño‐Southern Oscillation (ENSO) is essential for improving regional climate resilience and managing water‐related risks. While most deep learning studies have focused on the Niño 3.4 region, the Niño 1+2 region, closely linked to extreme coastal warming associated with ENSO that impacts water infrastructure ...
Kennedy Richard Gomez‐Tunque, Eusebio Ingol‐Blanco, Ronald R. Gutierrez, Jesus Mejia‐Marcacuzco, Eduardo Chávarri‐Velarde, Edwin Pino‐Vargas   +5 more
wiley   +1 more source

One to Three‐Day Lead Streamflow Forecast Using Multi‐Head Attention With Long Short‐Term Memory in Reservoir Regulated Catchment

Water Resources Research, Volume 62, Issue 8, August 2026.
Abstract Accurate, timely, and actionable flood forecasting has potential for reducing flood risk but remains challenging due to uncertainties in meteorological forecasts, poor hydrological observations, and increasing forecast errors with lead time. While Long Short‐Term Memory (LSTM) models have surpassed conventional hydrological forecasting models,
Hiren Solanki, A. S. Aravinthakshan, Sayuj Gupta, Vimal Mishra   +3 more
wiley   +1 more source