Richard McDonald
Richard McDonald is a Hydrologist with the USGS Water Resources Mission Area.
Richard McDonald is a hydrologist with 25 years of experience working on general water resources, flow and
sediment transport dynamics and eco-hydrology. He has extensive experience performing field, laboratory and computational research on river flow and sediment transport associated with regulated and unregulated rivers related to instream flow requirements, physical habitat, and evaluation of channel restoration designs. He is the principal developer of the U.S. Geological Survey’s Multi-Dimensional Surface Water Modeling System (MD_SWMS) and co-developer of the iRIC modeling system.
Science and Products
Incipient Bed-Movement and Flood-Frequency Analysis Using Hydrophones to Estimate Flushing Flows on the Upper Colorado River, Colorado, 2019
In an effort to better understand sediment movement and its relation to flow regimes of the Upper Colorado River in Colorado, in 2019, the U.S. Geological Survey, in cooperation with the Upper Colorado River Wild and Scenic Stakeholder Group, studied the magnitude and recurrence interval of streamflow (discharge) needed to initiate bed movement of gravel-sized and finer sediment in a segment of...
Coupling Hydrologic Models with Data Services in an Interoperable Modeling Framework
Computational models are important tools that aid process understanding, hypothesis testing, and data interpretation. The ability to easily couple models from various domains such as, surface-water and groundwater, to form integrated models will aid studies in water resources. This project investigates the use of the Community Surface Dynamics Modeling System (CSDMS) Modeling Framework (CMF) to
Science and Products
Incipient Bed-Movement and Flood-Frequency Analysis Using Hydrophones to Estimate Flushing Flows on the Upper Colorado River, Colorado, 2019
In an effort to better understand sediment movement and its relation to flow regimes of the Upper Colorado River in Colorado, in 2019, the U.S. Geological Survey, in cooperation with the Upper Colorado River Wild and Scenic Stakeholder Group, studied the magnitude and recurrence interval of streamflow (discharge) needed to initiate bed movement of gravel-sized and finer sediment in a segment of...
Coupling Hydrologic Models with Data Services in an Interoperable Modeling Framework
Computational models are important tools that aid process understanding, hypothesis testing, and data interpretation. The ability to easily couple models from various domains such as, surface-water and groundwater, to form integrated models will aid studies in water resources. This project investigates the use of the Community Surface Dynamics Modeling System (CSDMS) Modeling Framework (CMF) to