Title:
Multi-scale Comparison of Stage IV Nexrad (MPE) and Gauge Precipitation Data for Watershed Modeling

dc.contributor.author Price, K. en_US
dc.contributor.author Purucker, S. T. en_US
dc.contributor.author Kraemer, S. R. en_US
dc.contributor.corporatename United States. Environmental Protection Agency en_US
dc.contributor.corporatename National Exposure Research Laboratory (U.S.). Ecosystems Research Division en_US
dc.contributor.editor Carroll, G. Denise en_US
dc.date.accessioned 2013-02-25T21:09:18Z
dc.date.available 2013-02-25T21:09:18Z
dc.date.issued 2011-04
dc.description Proceedings of the 2011 Georgia Water Resources Conference, April 11, 12, and 13, 2011, Athens, Georgia. en_US
dc.description.abstract Watershed hydrologic and fate-and transport models are widely used to forecast water quantity and quality responses to alternative land use and climate change scenarios. The ability of such tools to forecast changes in ecosystem services with reasonable accuracy depends on calibrating reliable simulations of streamflow, which in turn require accurate climatic forcing data. Precipitation is widely acknowledged to be the largest source of uncertainty in watershed modeling. Most watershed models are designed to easily incorporate publicly available precipitation data from rain gauges (e.g., data provided by the National Climatic Data Center), but several additional data products from ground-based radar and satellite-based sensors are now available and can potentially be used to generate more precise, spatially-explicit precipitation estimates. Here, we investigate whether the use of higher-resolution Multisensor Precipitation Estimator (MPE, also known as Stage IV NEXRAD) data can improve the accuracy of daily streamflow simulations using the Soil and Water Assessment Tool (SWAT) watershed hydrology model. Simulated vs. observed streamflow and model calibrations are compared for two Piedmont sub-basins of the Neuse River in North Carolina (21 and 203 km2 watershed area) for an 8 year simulation period (January 1, 2002 to August 31, 2010). MPE simulations led to more accurate simulations of daily streamflow magnitude and frequency measures than gauge data, and differences were more pronounced in the smaller watershed. Compared with USGS-observed flows, MPE simulations produced R2 values of 0.64 and 0.54 for the larger and smaller watershed, respectively, while gauge data produced R2 values of 0.19 in both watersheds. Nash- Sutcliffe Efficiency and other goodness-of-fit indices also showed much better simulations associated with MPE data. Additionally, the temporal structure of MPE simulated streamflows more closely approximated that of the observed streamflows. These results are likely extendable to the Piedmont of the broader southeastern U.S. Ongoing research on this topic investigates additional spatial and temporal scales, as well as additional precipitation data types. en_US
dc.description.sponsorship Sponsored by: Georgia Environmental Protection Division U.S. Geological Survey, Georgia Water Science Center U.S. Department of Agriculture, Natural Resources Conservation Service Georgia Institute of Technology, Georgia Water Resources Institute The University of Georgia, Water Resources Faculty en_US
dc.description.statementofresponsibility This book was published by Warnell School of Forestry and Natural Resources, The University of Georgia, Athens, Georgia 30602-2152. The views and statements advanced in this publication are solely those of the authors and do not represent official views or policies of The University of Georgia, the U.S. Geological Survey, the Georgia Water Research Institute as authorized by the Water Research Institutes Authorization Act of 1990 (P.L. 101-307) or the other conference sponsors. en_US
dc.identifier.isbn 0-9794100-24
dc.identifier.uri http://hdl.handle.net/1853/46242
dc.language.iso en_US en_US
dc.publisher Georgia Institute of Technology en_US
dc.publisher.original Warnell School of Forestry and Natural Resources, The University of Georgia en_US
dc.relation.ispartofseries GWRI2011. Environmental Protection en_US
dc.subject Water resources management en_US
dc.subject Watershed modeling en_US
dc.subject Climatologic parameters en_US
dc.subject Multisensor precipitation estimation algorithm en_US
dc.subject MPE en_US
dc.title Multi-scale Comparison of Stage IV Nexrad (MPE) and Gauge Precipitation Data for Watershed Modeling en_US
dc.type Text
dc.type.genre Proceedings
dspace.entity.type Publication
local.contributor.corporatename Georgia Water Resources Institute
local.contributor.corporatename School of Civil and Environmental Engineering
local.contributor.corporatename College of Engineering
local.relation.ispartofseries Georgia Water Resources Conference
relation.isOrgUnitOfPublication 8873b408-9aff-48cc-ae3c-a3d1daf89a98
relation.isOrgUnitOfPublication 88639fad-d3ae-4867-9e7a-7c9e6d2ecc7c
relation.isOrgUnitOfPublication 7c022d60-21d5-497c-b552-95e489a06569
relation.isSeriesOfPublication e0bfffc9-c85a-4095-b626-c25ee130a2f3
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