Articles | Volume 20, issue 2
https://doi.org/10.5194/acp-20-721-2020
https://doi.org/10.5194/acp-20-721-2020
Research article
 | 
22 Jan 2020
Research article |  | 22 Jan 2020

Decoding long-term trends in the wet deposition of sulfate, nitrate, and ammonium after reducing the perturbation from climate anomalies

Xiaohong Yao and Leiming Zhang

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Cited articles

Baumgardner, R. E., Lavery, T. F., Rogers, C. M., and Isil, S. S.: Estimates of the Atmospheric Deposition of Sulfur and Nitrogen Species: Clean Air Status and Trends Network, 1990–2000, Environ. Sci. Technol., 36, 2614–2629, https://doi.org/10.1021/es011146g, 2002. 
Bond, N. A., Overland, J. E., Spillane, M., and Stabeno, P.: Recent shifts in the state of the North Pacific, Geophys. Res. Lett., 30, 2183, https://doi.org/10.1029/2003GL018597, 2003. 
Burakowski, E. A., Wake, C. P., Braswell, B., and Brown, D. P.: Trends in wintertime climate in the northeastern United States: 1965–2005, J. Geophys Res.-Atmos., 113, 1–12, https://doi.org/10.1029/2008JD009870, 2008. 
Butler, T. J., Likens, G. E., Vermeylen, F. M., and Stunder, B. J. B.: The impact of changing nitrogen oxide emissions on wet and dry nitrogen deposition in the northeastern USA, Atmos. Environ., 39, 4851–4862, https://doi.org/10.1016/j.atmosenv.2005.04.031, 2005. 
Cheng, I. and Zhang, L.: Long-term air concentrations, wet deposition, and scavenging ratios of inorganic ions, HNO3, and SO2 and assessment of aerosol and precipitation acidity at Canadian rural locations, Atmos. Chem. Phys., 17, 4711–4730, https://doi.org/10.5194/acp-17-4711-2017, 2017. 
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Short summary
An innovative approach is developed to preprocess monitored wet deposition data of inorganic ions for generating their decadal trends. Differing from traditional approaches which directly apply annual or seasonal average data to trend analysis tools, the proposed new approach makes use of slopes of regression equations between a series of study years and a climatology (base) year in terms of monthly averaged data. The new approach yields more robust results than the traditional tools.
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