Water Resources Research

Abstract Understanding large wood (LW) dynamics on floodplains is important for closing wood budgets and predicting hazards associated with LW. We conducted 38 experiments in a fixed‐bed flume to examine how forest stand density (FSD), wood transport regime, and overbank flood magnitude affect floodplain LW retention. We found that during low flood experiments at the lowest FSD, most wood pieces …

Abstract Management of water resources will be of critical importance as the effects of climate change accelerate. This implies the need to monitor water resources with high spatial and temporal resolution. One way to meet this need could be passive seismic methods using ambient seismic noise. In this study, we present a novel approach using time‐lapse probabilistic tomography to monitor a hydrol…

Abstract The spatial heterogeneity of aquifer properties plays an important role in the movement of groundwater and contaminants. The characterization of heterogeneity from field observations is often needed to develop groundwater models used to inform management decisions. This research presents a new stochastic facies‐modeling algorithm to represent the heterogeneous deltaic sediments deposits …

Abstract Current practices in hydrologic design are based on the exceedance probability of rainfall intensities, without considering the meteorological conditions that generate them. Atmospheric drivers, such as weather fronts, control the spatiotemporal characteristics of storm events, with implications for urban stormwater infrastructure design and analysis. In this study, over 700 historic eve…

Abstract Although conglomerates composed of clasts and matrix are commonly interbedded with sandstones at geologic CO 2 storage sites, their residual trapping behavior remains poorly understood. This study investigates the influence of clast‐induced heterogeneity on residual CO 2 trapping during water imbibition, using two natural conglomerate cores from the Janggi Basin, Republic of Korea. Petro…

Abstract Knowledge of the groundwater recharge rate determines whether aquifer use is sustainable. However, accurately measuring recharge globally presents significant challenges due to the complexity of subsurface processes and the lack of direct observational methods. This study addresses these challenges by developing a methodology that integrates satellite data, numerical models, and machine …

Abstract River deltas are important landforms because they build coasts. Primary channels divide deltaic land into islands, which must accrete sediment fast enough for deltas to keep pace with sea level rise. Field observations are critical for determining the physical mechanisms that transport sediment between primary channels and islands, but are lacking. We conducted a field study in the Wax L…

Abstract Groundwater models are essential tools for groundwater remediation and contamination risk assessment. However, due to the simplification or inaccurate representation of real‐world groundwater systems, model structural errors are widespread and unavoidable, leading to systematic biases in model predictions. Traditional Bayesian data‐driven methods (DDMs) aim to correct these model structu…

Abstract This study investigated the impact of a 4.9 magnitude earthquake on submarine groundwater discharge (SGD) and nutrient fluxes along the coast of Jeju Island, Korea. Significant negative correlations were found between salinity and dissolved inorganic nitrogen (DIN; r 2 = 0.94), dissolved inorganic phosphorus (DIP; r 2 = 0.53), and dissolved silicate (DSi; r 2 = 0.79), indicating substant…

Abstract Flash drought (FD), so‐named for its abrupt and unforeseen onset, poses a significant challenge to forecasting, as current Numerical Weather Prediction (NWP) shows limited skill in the sub‐seasonal to seasonal timescale (S2S, 2‐week to 2‐month range). Here, we present various data‐driven deep learning (DL) frameworks designed to bridge this S2S FD forecasting gap and uncover underlying d…

Abstract Estimating daily snow water equivalent (SWE) is critical for hydrological and climate applications, yet physical models often struggle to represent SWE, especially its interannual anomalies. In this study, we developed a hybrid physics‐guided machine learning (ML) model (hybrid model), by augmenting the Community Land Model 4.0 SWE simulations with a long short‐term memory (LSTM) network…

Abstract Climate change alters hydrological and ice conditions, but how these changes affect turbulence beneath ice cover has been poorly studied. This study presents a multi‐year observational analysis of near‐bed turbulence under ice cover in a subarctic meandering river reach. Measurements were obtained using an Acoustic Doppler Current Profiler (ADCP) and an Acoustic Doppler Velocimeter (ADV)…

Abstract Growing evidence suggests that extreme precipitation increases over most regions globally as the climate warms. However, it remains poorly understood how the fraction of annual precipitation from extreme events changes due to warming‐induced alteration of both annual and extreme precipitation patterns. Understanding such changes is crucial for water resources and agricultural planning an…

Abstract The land‐to‐ocean aquatic continuum (LOAC) carries contaminants, nutrients, and particulate carbon (C) from inland aquatic systems to the sea, which can impact regional biogeochemical budgets and local ecosystem health. Climate change and other anthropogenic influences (e.g., hydroelectricity) will affect the LOAC across varied watersheds. Qualifying the source and fate of particulate or…

Abstract Water availability governs ecosystem productivity, yet estimates of vegetation sensitivity to water can differ greatly depending on whether the sensitivity is examined spatially or temporally. In particular, the spatial sensitivity is often reported to be much stronger than temporal sensitivities, leading to highly uncertain projections of ecosystem responses to future climate change whe…

Abstract Hydrodynamic and morphodynamic forces interacting across the sediment‐water interface control the biogeochemistry in the hyporheic zone. When investigating the redox zonation within streambeds, dissolved oxygen (O 2 ) is considered a key solute to the understanding of river ecosystems. However, no field studies have measured the spatiotemporal O 2 distribution linked to bedform celerity …

Abstract The mountain front recharge (MFR) process significantly influences the movement of water and dissolved organic carbon (DOC) in alpine catchments. However, no existing watershed models can adequately simulate this process, hindering accurate quantification of streamflow and DOC dynamics. To address this gap, this study explicitly incorporated the MFR process into a watershed‐scale integra…

Abstract The Amazon's hydroclimate exhibits basin‐scale early‐warning signals of critical slowing down (CSD), a statistical signature of declining resilience as systems approach critical transitions. We apply a multi‐metric framework to precipitation, evapotranspiration, Soil moisture (SM), and extreme streamflows, tracking rolling variance, lag‐1 autocorrelation (AC1), distributional asymmetry a…

Abstract Predicting and understanding drivers of post‐fire floods is necessary for natural resources, infrastructure, and emergency managers in a regime of larger, more severe wildfires that increasingly intersect with human populations and infrastructure. Post‐fire flood prediction remains a challenge due to data limitations combined with the influence of spatial and temporal precipitation varia…

Abstract A deep understanding of flow regulation in river bifurcations is critical for downstream river management and flood control. The deltaic river network frequently contains the H‐shaped network node, where two main channels are linked together via a connecting channel, combining both bifurcation and confluence. However, flow structures and their control on downstream discharge regulation o…