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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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Leiming Zhang on behalf of the Authors (27 Sep 2019)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (03 Oct 2019) by Aijun Ding
RR by Anonymous Referee #2 (03 Dec 2019)
ED: Publish as is (06 Dec 2019) by Aijun Ding
AR by Leiming Zhang on behalf of the Authors (10 Dec 2019)  Manuscript 
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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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