1New England Water Science Center, US Geological Survey, 10 Bearfoot Road, Northborough, MA 01532, USA
2Rocky Mountain Geographic Science Center, US Geological Survey, P.O. Box 25046 MS 516, Denver Federal Center, Denver, CO 80225, USA
3Office of Surface Water, US Geological Survey, 5522 Research Park Drive, Baltimore, MD 21228, USA
Received: 24 Jul 2012 – Discussion started: 31 Aug 2012
Abstract. Streamflow information is critical for addressing any number of hydrologic problems. Often, streamflow information is needed at locations that are ungauged and, therefore, have no observations on which to base water management decisions. Furthermore, there has been increasing need for daily streamflow time series to manage rivers for both human and ecological functions. To facilitate negotiation between human and ecological demands for water, this paper presents the first publicly available, map-based, regional software tool to estimate historical, unregulated, daily streamflow time series (streamflow not affected by human alteration such as dams or water withdrawals) at any user-selected ungauged river location. The map interface allows users to locate and click on a river location, which then links to a spreadsheet-based program that computes estimates of daily streamflow for the river location selected. For a demonstration region in the northeast United States, daily streamflow was, in general, shown to be reliably estimated by the software tool. Estimating the highest and lowest streamflows that occurred in the demonstration region over the period from 1960 through 2004 also was accomplished but with more difficulty and limitations. The software tool provides a general framework that can be applied to other regions for which daily streamflow estimates are needed.
Revised: 17 Dec 2012 – Accepted: 18 Dec 2012 – Published: 28 Jan 2013
Archfield, S. A., Steeves, P. A., Guthrie, J. D., and Ries III, K. G.: Towards a publicly available, map-based regional software tool to estimate unregulated daily streamflow at ungauged rivers, Geosci. Model Dev., 6, 101-115, doi:10.5194/gmd-6-101-2013, 2013.