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Assimilating SWOT Level-4 river discharge into a macroscale hydrologic model
Accurate quantification of river discharge remains an important challenge as limited ground observations and hydrological model …
Toward Cleaner Extremes: A GEV-Based Framework for Identifying and Removing Implausible Annual Maxima in Climate Projections
Accurate identification of outliers in precipitation and geoscience datasets is critical for ensuring the reliability of projections …
Mind the Cloud: Propagation of Cloud-Induced Bias in Lake Surface Water Temperature Remote Sensing and Modeling
Satellite remote sensing is widely used to monitor lake surface water temperature (LSWT) due to its global coverage and relatively …
Remote Sensing and the new global river science
As one of the major forms of surface water bodies, rivers impact the well-being of humans and environmental health. In modern society …
Modeling daily ice cover in Northern Hemisphere lakes with a Long Short-Term Memory neural network
Quantifying lake ice loss is crucial for understanding the impact of climate change on lake ecosystems. In this study, we trained a …
Predicting Annual Peak Daily Streamflow in Natural Basins using Quantile Regression Forests
Flood risk is characterized by flood inundation areas influenced by hydroclimatic extremes such as peak streamflow events. Predicting …
A Tool for Surface Reflectance Retrieval from Google Earth Engine for the estimation of river flow variation
River discharge monitoring is crucial for understanding and mitigating the impacts of climate change, such as changes in the frequency …
Estimating Daily Suspended Sediment Flux from Multiple Data Sources using Deep Learning
Suspended sediment concentration, flux, and river discharge are essential indicators of river ecosystem health and reflect …
Machine Learning based 100-year flood flow prediction model using basin characteristics and multiple meteorological datasets in the northeast United States
Estimating the value of extreme hydrological events, such as the 100-year flood at ungaged locations, remains a significant …
Harnessing SMAP Satellite Soil Moisture Product to Optimize Soil Properties to Improve Water Resource Management for Agriculture
Proper estimates of soil physical and hydraulic properties are of prime importance for management of water resources in agriculture …