A5003703577- Hydrology and Watershed Management Studies
- Flood Risk Assessment and Management
- Soil erosion and sediment transport
- Hydrology and Sediment Transport Processes
- Tropical and Extratropical Cyclones Research
- Geology and Paleoclimatology Research
- Geological formations and processes
- Hydrology and Drought Analysis
- Landslides and related hazards
- Cryospheric studies and observations
- Hydrological Forecasting Using AI
- Coastal and Marine Dynamics
- Aeolian processes and effects
- Coastal wetland ecosystem dynamics
- Meteorological Phenomena and Simulations
- Soil and Water Nutrient Dynamics
- Soil Geostatistics and Mapping
- Soil and Unsaturated Flow
- Fish Ecology and Management Studies
- Oceanographic and Atmospheric Processes
- Precipitation Measurement and Analysis
- Marine and coastal ecosystems
- Geophysics and Gravity Measurements
- Remote Sensing and LiDAR Applications
- Geological Modeling and Analysis
University of Alabama
2016-2025
Ministry of Environmental Protection
2024
Goddard Institute for Space Studies
2024
University of Colorado Boulder
2011-2014
Institute of Arctic and Alpine Research
2011-2014
University of Newcastle Australia
2008-2013
Ben-Gurion University of the Negev
2008
Abstract Deltas are resource rich, low-lying areas where vulnerability to flooding is exacerbated by natural and anthropogenically induced subsidence geocentric sea-level rise, threatening the large populations often found in these settings. Delta ‘drowning’ potentially offset deposition of sediment on delta surface, making delivery fluvial a key balancing control offsetting relative provided that can be dispersed across subaerial delta. Here we analyse projected changes flux over 21st...
Every year riverine flooding affects millions of people in developing countries, due to the large population exposure floodplains and lack adequate flood protection measures. Preparedness monitoring are effective ways reduce risk. State-of-the-art technologies relying on satellite remote sensing as well numerical hydrological weather predictions can detect monitor severe events at a global scale. This paper describes emerging role Global Flood Partnership (GFP), network scientists, users,...
Abstract Information on flood inundation extent is important for understanding societal exposure, water storage volumes, wave attenuation, future hazard, and other variables. A number of organizations now provide maps based satellite remote sensing. These data products can efficiently accurately the areal a event, but do not floodwater depth, an attribute first responders damage assessment. Here we present new methodology GIS‐based tool, Floodwater Depth Estimation Tool (FwDET), estimating...
Abstract. Flood maps are needed for emergency response, research, and planning. The Height Above Nearest Drainage (HAND) technique is a low-complexity, terrain-based approach inundation mapping using elevation data, discharge–height relationships, streamflow inputs. recent operational capacities of the NOAA National Water Model (NWM) preprocessed HAND products from University Texas offer an framework real-time forecast flood guidance across US. In this study, we evaluate integrated –Height...
Abstract. Remote sensing analysis is routinely used to map flooding extent either retrospectively or in near-real time. For flood emergency response, remote-sensing-based mapping highly valuable as it can offer continued observational information about the over large geographical domains. Information floodwater depth across inundated domain important for damage assessment, rescue, and prioritizing of relief resource allocation, but cannot be readily estimated from remote analysis. The...
Abstract Bedload is notoriously challenging to measure and model; its dynamics, therefore, remains largely unknown in most fluvial systems worldwide. We present results from a global scale bedload flux model as part of the WBMsed modeling framework that well predict distribution water discharge, suspended sediment bedload. The sensitivity predictions river slope, particle size, width, were analyzed, showing be responsive spatial dynamics discharge slope. relationship between total analyzed...
Abstract The objective of this study was to determine the accuracy five different digital image processing techniques map flood inundation extent with Landsat 8–Operational Land Imager satellite imagery. May 2016 flooding event in Hempstead region Brazos River, Texas is used as a case for first comprehensive comparison classification its kind. Five water (i.e., supervised classification, unsupervised delta‐cue change detection, Normalized Difference Water Index [NDWI], modified NDWI [MNDWI])...
Abstract. Suspended sediment plays a vital role in the regional and global cycling of carbon nutrients by carrying from headwaters into lowland rivers oceans. Sediment transport through river systems is often fundamentally modified human activities such as reservoir management. However, physically based representation still missing most existing Earth system models (ESMs), which are essential tools for modeling predicting changes. Here, we introduce multi-process module ESMs, includes (1)...
Abstract Humans have drastically disrupted the global sediment cycle. Suspended flux and concentration are key controls over both river morphology ecosystems. Our ability to understand dynamics within corridors is limited by observations. Here, we present RivSed, a database of satellite observations suspended (SSC) from 1984 2018 across 460 large (>60 m wide) US rivers that provides new, spatially explicit view sediment. We found 32% declining temporal trend in concentration, with mean...
Abstract. Precipitation is the most important driver of hydrological cycle, but it challenging to estimate over large scales from satellites and models. Here, we assessed performance six global quasi-global high-resolution precipitation datasets (European Centre for Medium-Range Weather Forecasts (ECMWF) Reanalysis version 5 (ERA5), Climate Hazards group Infrared with Stations 2.0 (CHIRPS), Multi-Source Weighted-Ensemble 2.80 (MSWEP), TerraClimate (TERRA), Prediction Unified 1.0 (CPCU),...
The National Water Center (NWC), operated by the Oceanic and Atmospheric Administration's (NOAA) Office of Weather Prediction located on campus University Alabama, is hub for new Model (NWM) United States (U.S.). In 2015, NWC Innovators' Program Consortium Universities Advancement Hydrologic Science, Inc. launched inaugural Summer Institute to engage academic community in developing applications NWM. Held annually since then, brings a group graduate students Alabama work with faculty...
The Floodwater Depth Estimation Tool (FwDET) provides rapid-response floodwater depth estimations during time-sensitive flood events. Recently, modern cloud-computing advancements and platforms, such as Google Earth Engine (GEE), have further enabled the streamlining scalability of large-scale geoprocessing. This letter presents a FwDET implementation in GEE (FwDET-GEE) that is open access, utilizes cloud-stored elevation data, performs geospatial analytics on fly. tool offers an innovative...
A complete annual cycle of the dynamics fine-grained sediment supplied by Omo and smaller rivers is simulated for Lake Turkana, one world's large lakes, with hydrodynamic, wave transport model Delft3D. The forced river liquid solid discharge wind data in order to simulate cohesive resuspension. It simulates stratification due salinity, generation dissipation, advection resuspension waves currents, multiple fractions. comparison simulation results remotely-sensed imagery available in-situ...
Abstract Quantifying the role of sediment trapping by dams is important due to its control on fluvial and coastal geomorphology, aquatic ecology, water quality, human uses. Sediment behind a major source bias in large‐scale hydrogeomorphic models, hindering robust analyses anthropogenic influences fluxes freshwater systems. This study focuses developing new reservoir efficiency ( Te ) parameter account for impacts hydrological models. goal was achieved harnessing novel remote sensing data...
Abstract Widely adopted models for estimating hydraulic geometry attributes rely on simplistic power‐law equations, which can introduce inaccuracy due to their inability capture spatial variability. This study introduces a new model predicting channel utilizing advanced tree‐based Machine Learning (ML) algorithms. The research enhances the quality of extensive HYDRoacoustic data set supporting Surface Water Oceanographic Topography (HYDRoSWOT) through proposed preprocessing method....