Respectively, Geographer/GIS Specialist, OAO Corporation, U.S. EPA NHEERL, 200 S.W. 35th Street, Corvallis, Oregon 97333; Research Environmental Scientist, U.S. EPA National Health and Environmental Effects Research Laboratory, 200 S.W. 35th Street, Corvallis, Oregon 97333; and Assistant Professor, Department of Geosciences, Oregon State University, Corvallis, Oregon 97331 (e-m/Bishop: email@example.com).
EFFECTS OF IMPROVED PRECIPITATION ESTIMATES ON AUTOMATED RUNOFF MAPPING: EASTERN UNITED STATES1
Article first published online: 8 JUN 2007
JAWRA Journal of the American Water Resources Association
Volume 34, Issue 1, pages 159–166, February 1998
How to Cite
Bishop, G. D., Church, M. R. and Daly, C. (1998), EFFECTS OF IMPROVED PRECIPITATION ESTIMATES ON AUTOMATED RUNOFF MAPPING: EASTERN UNITED STATES. JAWRA Journal of the American Water Resources Association, 34: 159–166. doi: 10.1111/j.1752-1688.1998.tb05968.x
Paper No. 97018 of the Journal of the American Water Resources Association. Discussions are open until October 1, 1998.
- Issue published online: 8 JUN 2007
- Article first published online: 8 JUN 2007
- runoff mapping;
- PRISM precipitation;
ABSTRACT: We evaluated maps of runoff created by means of two automated procedures. We implemented each procedure using precipitation estimates of both 5-km and 10-km resolution from PRISM (Parameter-elevation Regressions on Independent Slopes Model). Our goal was to determine if using the 5-km PRISM estimates would improve map accuracy. Visual inspection showed good general agreement among our runoff maps, as well as between our maps and one produced using a manual method. A quantitative uncertainty analysis comparing runoff interpolated from our maps with gage data that had been withheld showed slightly smaller actual and percentage interpolation errors for the 5-km PRISM-based maps. Our analyses suggest a modest region-wide improvement in runoff map accuracy with the use of PRISM-based precipitation estimates of 5-km (compared to 10-km) resolution.