Enhanced wet deposition estimates using modeled precipitation inputs

Jeffrey Wayne Grimm, James A. Lynch

Research output: Contribution to journalArticle

25 Citations (Scopus)

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.

Original languageEnglish (US)
Pages (from-to)243-268
Number of pages26
JournalEnvironmental Monitoring and Assessment
Volume90
Issue number1-3
DOIs
StatePublished - Jan 1 2004

Fingerprint

wet deposition
atmospheric deposition
precipitation (chemistry)
terrestrial ecosystem
aquatic ecosystem
interpolation
Ecosystems
Interpolation
monitoring
Monitoring

All Science Journal Classification (ASJC) codes

  • Environmental Science(all)
  • Pollution
  • Management, Monitoring, Policy and Law

Cite this

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Enhanced wet deposition estimates using modeled precipitation inputs. / Grimm, Jeffrey Wayne; Lynch, James A.

In: Environmental Monitoring and Assessment, Vol. 90, No. 1-3, 01.01.2004, p. 243-268.

Research output: Contribution to journalArticle

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