title: Enhanced wet deposition estimates using modeled precipitation inputs.
abstract: Effective assessments of linkages between atmospheric deposition and sensitive aquatic and terrestrial ecosystems require a knowledge of spatial patterns in deposition of greater resolution than currently available using point estimates and two-dimensional surface algorithms. A high resolution wet deposition model was developed for the Eastern U.S.A. by incorporating daily precipitation measurements from National Oceanic and Atmospheric Administration (NOAA) monitoring sites located within the Eastern U.S.A.; topographic variables, including elevation, slope, and aspect that affect the amount and distribution of precipitation across the region; and precipitation chemistry data from National Atmospheric Deposition Program (NADP) sites within and adjacent to the region. Model performance, which was tested against independent measurements from three physiographic regions of the eastern U.S.A., revealed a statistically significant reduction in interpolation error compared to traditional two-dimensional surface algorithms.
authors.affiliation: Environmental Resources Research Institute, The Pennsylvania State University, University Park, Pennsylvania, USA.
authors.forename: Jeffrey W
authors.initials: JW
authors.lastname: Grimm
authors.forename: James A
authors.initials: JA
authors.lastname: Lynch
mesh_terms: D000393:Air Pollutants / Q000032:analysis*; D000465:Algorithms; D001272:Atmosphere; D011232:Chemical Precipitation; D004784:Environmental Monitoring; D005843:Geography; D008954:Models, Biological; D009566:Nitrates / Q000032:analysis; D018570:Risk Assessment; D013431:Sulfates / Q000032:analysis; D013997:Time Factors; D014481:United States
chemical_list: D000393:Air Pollutants; D009566:Nitrates; D013431:Sulfates