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Constraining the assimilation of SWOT observations with hydraulic geometry relations

The Surface Water Ocean Topography (SWOT) satellite mission expected to launch in 2021 will offer a unique opportunity to map river discharge at an unprecedented spatial resolution globally from its observations of water surface elevation, width and …

A Data Assimilation Framework for Generating Space‐Time Continuous Daily SWOT River Discharge Data Products

The Surface Water and Ocean Topography (SWOT) satellite will provide global observations of surface water storage and river discharge at an unprecedented high resolution and accuracy after its scheduled launch in 2021, but a limitation of SWOT …

Underlying Fundamentals of Kalman Filtering for River Network Modeling

The grand challenge of producing hydrometeorological estimates every time and everywhere has motivated the fusion of sparse observations with dense numerical models, with a particular interest on discharge in river modeling. Ensemble methods are …

Improving Hydrologic Modeling Using Cloud-Free MODIS Flood Maps

Flood mapping from satellites provides large-scale observations of flood events, but cloud obstruction in satellite optical sensors limits its practical usability. In this study, we implemented the Variational Interpolation (VI) algorithm to remove …

The Role of Rain‐on‐Snow in Flooding Over the Conterminous United States

Through an analysis of long‐term rain-on-snow (ROS) and flood records over the conterminous United States, we evaluate the contribution of ROS to past flooding, and how ROS's contribution to floods will change in a warmer future.

Model-data fusion of hydrologic simulations and GRACE terrestrial water storage observations to estimate changes in water table depth

Despite numerous advances in continental-scale hydrologic modeling and improvements in global Land Surface Models, an accurate representation of regional water table depth (WTD) remains a challenge. Data assimilation of observations from the Gravity …

The Utility of Infrequent Snow Depth Images for Deriving Continuous Space‐Time Estimates of Seasonal Snow Water Equivalent

Snow water equivalent (SWE), particularly in mountains regions, has been an elusive hydrologic measurement. We examine the utility of a data assimilation approach to generate space‐time continuous estimates of SWE from more readily available snow …

The Value of Accurate High-Resolution and Spatially Continuous Snow Information to Streamflow Forecasts

Previous studies have shown limited success in improving streamflow forecasting for snow-dominated watersheds using physically based models, primarily due to the lack of reliable snow water equivalent (SWE) information. Here we use a hindcasting …

Rapid Mapping of Small-Scale River-Floodplain Environments Using UAV SfM Supports Classical Theory

We demonstrate the application of obtaining highly detailed topography data over very small scales using Structure from Motion (SfM) processing over a small river floodplain in Maryland.

A High-Resolution Data Assimilation Framework for Snow Water EquivalentEstimation across the Western United States and Validation with theAirborne Snow Observatory

Numerical simulations of snow water equivalent (SWE) in mountain systems can be biased, and few SWEobservations have existed over large domains. New approaches for measuring SWE, like NASA’s ultra-high-resolution Airborne Snow Observatory (ASO), …