Results 131 to 140 of about 3,060 (251)

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

Spatiotemporal Drivers of Runoff Event Timescales: An Event‐Based Clustering Approach Applied to 388 Catchments in the Contiguous United States

Water Resources Research, Volume 62, Issue 8, August 2026.
Abstract Runoff responds differently to rainfall events depending on antecedent wetness conditions and catchment properties. One major characteristic of the response is the runoff event timescale, herein defined as the ratio of event volume to peak runoff rate.
Adriane Hövel, Yanchen Zheng, Christine Stumpp, Ross A. Woods, Michael Stockinger   +4 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

Regionally divergent drivers behind transgressions of the freshwater change planetary boundary. [PDF]

Nat Commun
Virkki V, Andersen LS, Te Wierik S, Gerten D, Porkka M.   +4 more
europepmc   +1 more source

The ability of streamflow models to capture the impact of climate variability on streamflow

Chan, F., Marinova, D. and Anderssen, R.S. (eds) MODSIM2011, 19th International Congress on Modelling and Simulation., 2011
openaire   +1 more source

From Resistivity to Hydraulic Properties: Calibrating a Groundwater Flow Model by Integrating Airborne Electromagnetic and Borehole Data Into a Probabilistic Multi‐Texture Framework

Water Resources Research, Volume 62, Issue 8, August 2026.
Abstract Airborne electromagnetic (AEM) surveys offer rapid, cost‐effective subsurface imaging, yet converting their electrical resistivity (ER) models into physically meaningful hydraulic property fields for groundwater models remains a challenge. We develop and demonstrate a data‐driven workflow for an unconsolidated sedimentary aquifer system in ...
Leland Scantlebury, Thomas Harter
wiley   +1 more source

Revisiting the application of variable infiltration capacity (VIC) model in the Colorado River Basin using SMAP and GRACE. [PDF]

Sci Rep
Wang Z, Ghimire S, Whitney KM, Mascaro G, Xiao M, Yue H, Vivoni ER.   +6 more
europepmc   +1 more source

Climate change impact assessment on water resources in the mountainous Karaj Dam Basin using an integrated weather generator-machine learning framework. [PDF]

Sci Rep
Khazaei MR.
europepmc   +1 more source