Tara A Gross
Biography
Tara Gross is an IT Specialist in the USGS Colorado Water Science Center (COWSC) in Lakewood, CO. She began her career in the USGS North Dakota Water Science Center in Bismarck, ND in 2006 where she worked until her move to the COWSC in 2015. Her expertise in GIS, computer programming, and graphic arts is used in studies of water quality, water use, watershed delineation, agricultural runoff, and closed basins in Colorado. Tara is content manager for the USGS Water Science School website, the USGS StreamStats website, and assists in the maintenance of the COWSC website. She earned her B.S. in Computer Information Systems with a concentration in application development from the University of Mary in Bismarck, ND and her A.A.S. in Geographic Information Systems from Bismarck State College in Bismarck, ND.
Science and Products
StreamStats: Streamflow Statistics and Spatial Analysis Tools for Water-Resources Applications
StreamStats provides access to spatial analytical tools that are useful for water-resources planning and management, and for engineering and design purposes. The map-based user interface can be used to delineate drainage areas, get basin characteristics and estimates of flow statistics, and more. Available information varies from state to state.
Water Science School
Welcome to the U.S. Geological Survey's (USGS) Water Science School. We offer information on many aspects of water, along with pictures, data, maps, and an interactive center where you can give opinions and test your water knowledge.
StreamStats for Colorado
StreamStats is a map based Web application that provides information that can be used by engineers, managers, and planners to make informed decisions on water-related activities. The map-based user interface can be used to delineate drainage areas, get basin characteristics and estimates of flow statistics. StreamStats allows for the analysis of upstream and downstream relations along...
Runoff Modeling Web Services
In cooperation with StreamStats, the runoff modeling services were developed using RESTful principles in order to assist engineers and watershed managers by calculating peak runoff for small watersheds. This API is intended to document the available service endpoints and provide limited example usage to assist developers in building outside programs...
Surface Materials Data from Breccia-Pipe Uranium Mine and Reference Sites, Arizona, USA
This data release includes elemental analysis of soil samples collected at breccia-pipe uranium mines, at one undeveloped breccia-pipe uranium deposit, and at a reference site in northern Arizona. Samples were collected near the Arizona 1, Canyon, Kanab North, and Pinenut uranium mines, over the EZ2 breccia-pipe uranium deposit, and at the Little Robinson Tank reference site. Sampl
Natural and managed components of the water-budget from 2008–2012 for 43 HUC10s in the Apalachicola-Chatahoochie-Flint River Basin, Georgia, U.S.
A simple water budget includes precipitation, streamflow, change in storage, evapotranspiration, and residuals: P=Q + ET + ΔS + e. It is essential to include the managed component (i.e., the “human” component) to close the water budget and reduce the magnitude of the residuals from “natural” water budgets. Some of the largest components of...
Natural and managed components of the water-budget for 2010 for 43 HUC10s in the Apalachicola-Chatahoochie-Flint River Basin, Georgia, U.S.
A simple water budget includes precipitation, streamflow, change in storage, evapotranspiration, and residuals: P=Q + ET + ΔS + e. It is essential to include the managed component (i.e., the “human” component) to close the water budget and reduce the magnitude of the residuals from “natural” water budgets. Some of the largest components of...
Regression equations to estimate seasonal flow duration, n-day high-flow frequency, and n-day low-flow frequency at sites in North Dakota using data through water year 2009
Seasonal mean daily flow data from 119 U.S. Geological Survey streamflow-gaging stations in North Dakota; the surrounding states of Montana, Minnesota, and South Dakota; and the Canadian provinces of Manitoba and Saskatchewan with 10 or more years of unregulated flow record were used to develop regression equations for flow duration, n-day high...
Williams-Sether, Tara; Gross, Tara A.
Regional regression equations to estimate peak-flow frequency at sites in North Dakota using data through 2009
Annual peak-flow frequency data from 231 U.S. Geological Survey streamflow-gaging stations in North Dakota and parts of Montana, South Dakota, and Minnesota, with 10 or more years of unregulated peak-flow record, were used to develop regional regression equations for exceedance probabilities of 0.5, 0.20, 0.10, 0.04, 0.02, 0.01, and 0.002 using...
Williams-Sether, Tara
2009 Spring floods in North Dakota, western Minnesota, and northeastern South Dakota
In 2009, record-breaking snowfalls and additional spring moisture caused severe flooding in parts of the Missouri River and Red River of the North (Red River) Basins in North Dakota, Minnesota, and South Dakota. There were 48 peak of record stages and 36 discharges recorded at U.S. Geological Survey streamgages located in both basins between March...
Macek-Rowland, Kathleen M.; Gross, Tara A.
A history of flooding in the Red River Basin
The U.S. Geological Survey (USGS), one of the principal Federal agencies responsible for the collection and interpretation of water-resources data, works with other Federal, State, local, tribal, and academic entities to ensure that accurate and timely data are available for making decisions regarding public welfare and property during natural...
Martin, Cathy R.; Ryberg, Karen R.; Macek-Rowland, Kathleen M.; Banse, Tara A.; Wiche, Gregg J.
10th Anniversary of the 1997 Red River Flood
The 1997 flood on the Red River was one of the worst natural disasters in recent history for many people and communities in the Red River of the North Basin. The U.S. Geological Survey (USGS), one of the principal Federal agencies responsible for the collection and interpretation of water-resources data, works with other Federal, State, local,...
Ryberg, K.R.; Macek-Rowland, K. M.; Wiche, G.J.; Klapprodt, L.A.