Results 41 to 50 of about 13,792,503 (142)

Can State‐Dependant Residual Modeling Improve Legacy Hydrological Model Simulations?

Water Resources Research, Volume 62, Issue 7, July 2026.
Abstract Traditional residual post‐processing methods have demonstrated substantial improvements in simulated hydrological response; however, they typically aggregate multiple sources of uncertainty into a single lumped residual and apply uniform statistical treatment across all hydrologic conditions.
Muhammad Hammad, Raj Mehrotra, Ashish Sharma   +2 more
wiley   +1 more source

Influence of Soil and Land‐Use/Land‐Cover Data Quality on SWAT Parameter Transferability in Small Subtropical Agricultural Watersheds

Hydrological Processes, Volume 40, Issue 6, June 2026.
Does input soil and land‐use quality affect SWAT parameter transfer in neighbouring watersheds? Our proxy‐basin experiment in two small agricultural watersheds under crop–livestock rotations showed that capturing LULC dynamics and refining soil characterization can substantially enhance parameter transferability to ungauged neighbouring watersheds ...
Elzon C. Rippel, Daniel G. A. Piccilli, Latif Kalin, Rutinéia Tassi, Cristiano Gabriel Persch, Lueni Gonçalves Terra, André Pellegrini, Danilo Rheinheimer dos Santos   +7 more
wiley   +1 more source

Convection‐Permitting Regional Climate Simulations Reveal Stronger Drying and Snow Loss in Semi‐Arid Mountainous Basins of Morocco

Hydrological Processes, Volume 40, Issue 6, June 2026.
Convection‐permitting simulations (WRF3, 3 km) better represent mountain precipitation and snow processes than coarser regional simulations (WRF20, 20 km). Hydrological simulations forced by WRF3 improve streamflow seasonality and snow‐related hydrological signatures compared to WRF20.
Ouiaam Lahnik, Yves Tramblay, Redouane Lguensat, Sophie Bastin, Yoann Robin, Jafet C. M. Andersson, Lahoucine Hanich   +6 more
wiley   +1 more source

Robust Calibration of Hydrological Models for Simulating Unseen Flood Extremes

Water Resources Research, Volume 62, Issue 6, June 2026.
Abstract Calibrating conceptual rainfall‐runoff models to predict a catchment's response to extreme rainfall events is a significant challenge, especially when historical data is limited and the event exceeds recorded extremes. This challenge is amplified in non‐stationary environments where the frequency and intensity of extreme rainfall and floods ...
Caleb Dykman, Conrad Wasko, Rory Nathan, Ashish Sharma   +3 more
wiley   +1 more source

Inter-comparison of lumped hydrological models in data-scarce watersheds using different precipitation forcing data sets: Case study of Northern Ontario, Canada

Journal of Hydrology: Regional Studies, 2020
Study region: Big East River and Black River watersheds in Northern Ontario, Canada as snow-dominated, data-poor case studies. Study focus: In this study, seven lumped conceptual models were thoroughly compared in order to determine the best performing ...
Pedram Darbandsari, Paulin Coulibaly
doaj   +1 more source

Intra‐Annual Chlorophyll‐a Dynamics Under Hydroclimatic Extremes Derived From a 44‐Year Baseline: Insights From a Temperate River System (Nakdong River Basin, South Korea)

Water Resources Research, Volume 62, Issue 6, June 2026.
Abstract Understanding how drought affects phytoplankton dynamics is critical for developing early warning systems. Using standardized drought indices that capture both hydrometeorological extremes, we investigated how hydrological anomalies modulate intra‐annual chlorophyll‐a (Chla) concentrations, a proxy for phytoplankton biomass, in South Korea's ...
Pamela Sofia Fabian, YoonKyung Cha, Hyun‐Han Kwon   +2 more
wiley   +1 more source

Sub-series 2: Publications

, 2021
Bimonthly magazine discussing topics related to aviation and model airplane engines including collecting, restoring, maintaining, and identifying engines, along with ...
The Model Museum, Daniels, Timothy J.
core   +1 more source

Multi‐Source Adaptive‐Fusion Transfer Learning for Streamflow Forecasting in Data‐Scarce Catchments

Water Resources Research, Volume 62, Issue 6, June 2026.
Abstract Streamflow gauging records remain sparse in many regions, limiting hydrological predictions. Transfer Learning (TL), which uses knowledge from data‐rich sources to improve predictions in data‐scarce targets, has emerged as a promising solution.
Yuxuan Gao, Dongfang Liang, Edoardo Borgomeo, Hiroshi Cho   +3 more
wiley   +1 more source

Determination of the Total Phosphorus Decay Coefficient Based on Hydrological Models in an Artificial Reservoir in the Brazilian Semi-Arid Region

Hydrology
Phosphorus input into surface water is a global concern due to its role in eutrophication, which is especially critical in semi-arid regions with their challenging climatic conditions.
Francisco Josivan de Oliveira Lima, Fernando Bezerra Lopes, Daniel Antônio Camelo Cid, Iran Eduardo Lima Neto, Renan Vieira Rocha, Alyson Brayner Sousa Estácio, Isabel Cristina da Silva Araújo, Nayara Rochelli de Sousa Luna, Michele Cunha Pontes, Arthur Costa Tomaz de Souza, Eunice Maia de Andrade   +10 more
doaj   +1 more source

How Will Higher Interannual Precipitation Variability Intensify Water Stress Under a Drying Climate?

Water Resources Research, Volume 62, Issue 5, May 2026.
Abstract Climate change is expected to alter both the mean and variability of precipitation. Hydrological consequences of higher precipitation variability remain less understood than that induced by changes in precipitation mean. This study evaluates the combined effects of changes in annual precipitation mean and variability on runoff and water supply
Hongxing Zheng, Francis Chiew, David Post, David Robertson, Steve Charles   +4 more
wiley   +1 more source