Sensitivity assessment of PM2.5 simulation to the below-cloud washout schemes in an atmospheric chemical transport model

Xingcheng Lu; Jimmy C. H. Fung

doi:10.1080/16000889.2018.1476435

Sensitivity assessment of PM2.5 simulation to the below-cloud washout schemes in an atmospheric chemical transport model

Tellus B: Chemical and Physical Meteorology

Volume 70 (2018): Issue 1

By: Xingcheng Lu and Jimmy C. H. Fung

Open Access

|Jan 2018

Abstract

This study analyses the sensitivity of PM_2.5 simulation and source apportionment results by integrating different below-cloud washout (BCW) schemes from various models into the CAMx model during the rainy days (3–13 September 2010). Furthermore, this study has also considered the influence of different raindrop size distribution parameterizations on the simulation. PM_2.5 time series, spatial maps and the average concentration of the study region using different BCW schemes are presented. Our results show that different BCW schemes can cause over 50 μg m⁻³ discrepancies in a PM_2.5 simulation during the heavy rain periods. The source apportionment (SO₄^2-, NO₃^- and NH₄⁺) results for some cities (e.g. Hong Kong) are also sensitive to the choice of the BCW scheme. After implementing the composition dependent BCW coefficients calculated by using the field observation data, the PM_2.5 simulation performance was improved and mean bias was reduced to 0.5 μg m⁻³ during the study period. Future BCW studies should focus on the effects caused by aerosol compositions and raindrop size distributions in order to produce reliable simulation results for the rainy season.

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Articles in this issue

DOI: https://doi.org/10.1080/16000889.2018.1476435 | Journal eISSN: 1600-0889

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Language: English

Page range: 1476435 - 1476435

Submitted on: Oct 9, 2017

Accepted on: May 8, 2018

Published on: Jan 1, 2018

Published by: Stockholm University Press

In partnership with: Paradigm Publishing Services

Keywords:

precipitation,

below-cloud washout,

raindrop parameterization,

CAMx model,

PM2.5

© 2018 Xingcheng Lu, Jimmy C. H. Fung, published by Stockholm University Press
This work is licensed under the Creative Commons Attribution 4.0 License.

Volume 70 (2018): Issue 1