Nick Hall
Nick is a Hydrologist with the USGS Colorado Water Science Center (COWSC) in Lakewood, CO.
At the Colorado Water Science center, Nick is involved in data collection and analysis for projects related to stream bedload movement and groundwater/surface-water interaction. He also assists in the development of geospatial tools and data analysis techniques for hydrologic systems. Prior to the USGS, much of Nick’s work involved sediment transport, specifically following wildfire.
Education and Certifications
B.A. in Physics from Colorado College in Colorado Springs, CO
M.S. in Hydrology from Colorado School of Mines in Golden, CO
Science and Products
Hydroclimate Projections for Select U.S. Fish and Wildlife Service Properties - Mountain-Prairie Region, 1951-2099
This data release contains time series and plots summarizing mean monthly temperature and total monthly precipitation, and runoff from the U.S. Geological Survey Monthly Water Balance Model at 115 National Wildlife Refuges within the U.S. Fish and Wildlife Service Mountain-Prairie Region (CO, KS, MT, NE, ND, SD, UT, and WY). The three variables are derived from two sets of statistically-downscaled
Near-field Remote Sensing of River Velocity, Stage, and Precipitation during Portions of 2015 in Waldo Canyon, Colorado, USA
The sensor ensemble (DEbris and Floodflow Early warNing System, DEFENS) was deployed in Waldo Canyon, Pike National Forest, Colorado, which was burned during the Waldo Canyon fire in the summer of 2012. The ensemble consists of noncontact, ground-based (near-field), Doppler velocity (velocity) and pulsed (stage or gage height) radars, rain gages, and a redundant radio communication network. This e
NGWOS Ground Based Discrete Snowpack Measurements
Ground-based discrete snowpack measurements were collected during winter field campaigns starting in 2020. These data were collected as part of the U.S. Geological Survey (USGS) Next Generation Water Observing System (NGWOS) Upper Colorado River Basin project focusing on the relation between snow dynamics and water resources. This data release consists of three child items. Each child item contain
Use of Doppler velocity radars to monitor and predict debris and flood wave velocities and travel times in post-wildfire basins
The magnitude and timing of extreme events such as debris and floodflows (collectively referred to as floodflows) in post-wildfire basins are difficult to measure and are even more difficult to predict. To address this challenge, a sensor ensemble consisting of noncontact, ground-based (near-field), Doppler velocity (velocity) and pulsed (stage or gage height) radars, rain gages, and a redundant r
Authors
John Fulton, Nicholas Graff Hall, Laura A. Hempel, J.J. Gourley, Mark F. Henneberg, Michael S. Kohn, William H. Farmer, William H. Asquith, Daniel Wasielewski, Andrew S. Stecklein, Amanullah Mommandi, Aziz Khan
Non-USGS Publications**
Hall N., Rust A., Hogue T.S., Singha K., 2022, Analysis of watershed parameters controlling turbidity following the West Fork Complex fire: Journal of Hydrology, v. 609, https://doi.org/10.1016/j.jhydrol.2022.127712
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.
Science and Products
Hydroclimate Projections for Select U.S. Fish and Wildlife Service Properties - Mountain-Prairie Region, 1951-2099
This data release contains time series and plots summarizing mean monthly temperature and total monthly precipitation, and runoff from the U.S. Geological Survey Monthly Water Balance Model at 115 National Wildlife Refuges within the U.S. Fish and Wildlife Service Mountain-Prairie Region (CO, KS, MT, NE, ND, SD, UT, and WY). The three variables are derived from two sets of statistically-downscaled
Near-field Remote Sensing of River Velocity, Stage, and Precipitation during Portions of 2015 in Waldo Canyon, Colorado, USA
The sensor ensemble (DEbris and Floodflow Early warNing System, DEFENS) was deployed in Waldo Canyon, Pike National Forest, Colorado, which was burned during the Waldo Canyon fire in the summer of 2012. The ensemble consists of noncontact, ground-based (near-field), Doppler velocity (velocity) and pulsed (stage or gage height) radars, rain gages, and a redundant radio communication network. This e
NGWOS Ground Based Discrete Snowpack Measurements
Ground-based discrete snowpack measurements were collected during winter field campaigns starting in 2020. These data were collected as part of the U.S. Geological Survey (USGS) Next Generation Water Observing System (NGWOS) Upper Colorado River Basin project focusing on the relation between snow dynamics and water resources. This data release consists of three child items. Each child item contain
Use of Doppler velocity radars to monitor and predict debris and flood wave velocities and travel times in post-wildfire basins
The magnitude and timing of extreme events such as debris and floodflows (collectively referred to as floodflows) in post-wildfire basins are difficult to measure and are even more difficult to predict. To address this challenge, a sensor ensemble consisting of noncontact, ground-based (near-field), Doppler velocity (velocity) and pulsed (stage or gage height) radars, rain gages, and a redundant r
Authors
John Fulton, Nicholas Graff Hall, Laura A. Hempel, J.J. Gourley, Mark F. Henneberg, Michael S. Kohn, William H. Farmer, William H. Asquith, Daniel Wasielewski, Andrew S. Stecklein, Amanullah Mommandi, Aziz Khan
Non-USGS Publications**
Hall N., Rust A., Hogue T.S., Singha K., 2022, Analysis of watershed parameters controlling turbidity following the West Fork Complex fire: Journal of Hydrology, v. 609, https://doi.org/10.1016/j.jhydrol.2022.127712
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.