Research interests include terrestrial hydrology, remote sensing, machine learning, hydrometerology, and data assimilation (click here for condensed CV)
Research interests include hydrology, remote sensing, and data assimilation with an emphasis on extreme weather events (click here for CV)
Research interests include snow remote sensing, radiative transfer modeling, and microwave radiance assimilation (click here for CV)
Research interests include distributed hydrologic modeling of stormwater and satellite-based gravimetry of terrestrial water storage (click here for CV)
Research interests include L-band radiometry as applied to soil moisture estimation and land data assimilation (click here for CV)
Research interests include ground-based GPS sensors and land surface deformation as applied to regional-scale estimation of snow mass (click here for CV)
Research interests include snow-coverd area and snow water equivalent (SWE) estimation using space-based radar (click here for CV)
Research interests include remote sensing of snow and climate change impacts as applied to High Mountain Asia (click here for CV)
Examines the theoretical bases for fluid statics and dynamics, including the conservation of mass, energy and momentum. Modeling of hydraulic systems is introduced. Pipe flow and open-channel hydraulics are emphasized with application to real-world problems. (click here for syllabus)
Explores a wide-range of algorithms and techniques for solving problems in important areas of engineering. Topics include roots of equations, matrix algebra, solution of linear and nonlinear systems, function approximation, numerical differentiation, and numerical integration. (click here for syllabus)
Introduces basic concepts of remote sensing in water resource management. Discussion of measurements related to soil moisture, snow, groundwater, precipitation, and river discharge. Application of remote sensing datasets in the characterization and quantification of global freshwater. (click here for syllabus)
Hydrologic quantities are typically estimated from observations or via physical models. The emerging field of “data assimilation” is a general technique whereby observations and physical models are optimally merged. The goal of data assimilation is to derive the most utility from two disparate data streams. (click here for syllabus)
Explores the role of hydrology in the climate system, precipitation and evaporation processes, atmospheric radiation, the exchange of mass, heat, and momentum between the soil and vegetative surface and the overlying atmosphere, and the flux and transport of water within the turbulent boundary layer. (click here for syllabus)
More than a dozen household-scale (~10 people/house) rainwater collection systems have been constructed since the inception of this project. Each concrete system collects and stores clean, drinking water during the rainy season so that residents have safe, drinking water during the dry season when water is scarce. Click here to watch a video discussing the project approach.
The construction of: 1) a community meeting center, 2) a concrete, steel-reinforced pedestrian bridge, and 3) a stormwater runoff control system that runs through the market center were completed in recent years. Our dedicated partnership with the community of Addis Alem will continue during the next phase of our project in the Fall of 2016.
A liquid drip chlorination system was successfully installed in January 2014 and is currently undergoing monitoring. The system was designed to disinfect fecal coliform from the water supply. The overarching goal is to deliver safe, pathogen-free drinking water to the residents of Compone, Peru, a small village about 20 miles from Machu Picchu.
A pedestrian and livestock bridge is currently under construction in order to improve safety and reduce traffic-related fatalities. Phase I of the steel-reinforced, concrete bridge was completed in the summer of 2017. Phase II will be completed in 2018 thereby linking communities and avoiding close proximity between pedestrians, animals, and dangerous vehicles.
Only applicants with a solid background in physics, mathematics, engineering, or earth science should apply.
University of Maryland
c/o Professor Barton A. Forman
Civil and Environmental Engineering
4298 Campus Drive
College Park, MD 20742-3021