Hydrological modeling, leveraging mathematical formulations to represent the hydrological
cycle, is a pivotal tool in representing the spatiotemporal dynamics and distribution patterns …

Distributed, physics-based hydrologic models require spatially explicit specification of
parameters related to climate, geology, land-cover, soil, and topography. Extracting these …

Climate change impact studies require a reference climatological dataset providing a
baseline period to assess future changes and post-process climate model biases. High …

Rising sea levels increase coastal extreme events of inundation along the global coastlines.
Existing hydrologic and groundwater models simulate inundation processes but simplify …

Parameter estimation is an inverse problem which is crucial to reliable groundwater model
predictions and management. Numerous techniques have been developed to address this …

This paper presents multiple parameter estimation using multivariate observations via the
ensemble Kalman filter (EnKF) for a physically based land surface hydrologic model. A data …

Understanding streamflow generation and its dependence on catchment characteristics
requires large spatial data sets and is often limited by convoluted effects of multiple …

Groundwater and surface water systems (GW-SW) are interconnected in most landscapes
and climates, and the interactions between them, known as GW-SW interactions, are …

Floods introduced by rainfall events are responsible for tremendous economic and property
losses. It is important to delineate flood prone areas to minimize flood damages and make …

Inundation area is a major control on the ecosystem services provisioned by geographically
isolated wetlands. Despite its importance, there has not been any comprehensive study to …