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A mixed layer height parameterization in a 3-D chemical transport model: Implications for gas and aerosol simulations. | LitMetric

A mixed layer height parameterization in a 3-D chemical transport model: Implications for gas and aerosol simulations.

Sci Total Environ

State Environmental Protection Key Laboratory of Integrated Surface Water-Groundwater Pollution Control, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, Guangdong, China; Shenzhen Institute of Sustainable Development, Southern University of Science and Technology, Shenzhen, Guangdong, China.

Published: December 2024

AI Article Synopsis

  • Vertical mixing in the planetary boundary layer (PBL) is essential for understanding surface pollutant levels, but existing PBL models often inaccurately represent vertical mixing at night, leading to inflated pollutant concentrations.
  • This study introduces a new method for estimating mixed layer height (MLH) based on the Yonsei University PBL scheme and evaluates its effectiveness by comparing model results with observational data.
  • Using the WRF-GC model for simulations during a 2021 air quality campaign in South Korea, the new MLH parameterization significantly improved the accuracy of gas and aerosol predictions, reducing the discrepancy between modeled and observed concentrations for various pollutants.

Article Abstract

Vertical mixing within the planetary boundary layer (PBL) is crucial for determining surface-level pollutant concentrations. However, standard PBL schemes in chemical transport models (CTMs) often fail to adequately define the upper bounds of vertical mixing, particularly at night. This limitation frequently results in overestimated nocturnal concentrations of pollutants near the surface. To address this issue, we propose a parameterization of mixed layer height (MLH) derived from the Yonsei University (YSU) PBL scheme and thoroughly evaluate it by comparing simulations with various observations. We utilized the Weather Research and Forecasting model coupled with GEOS-Chem (WRF-GC) to simulate gas and aerosol distributions over South Korea during the Satellite Integrated Joint Monitoring of Air Quality (SIJAQ) campaign in 2021. The WRF-GC simulations incorporating the MLH parameterization improved the excessive titration of O and the overproduction of HNO and NO in the model. Consequently, the model performances in gaseous and aerosol simulations showed a better agreement with observations, with changes in normalized mean biases (NMBs) of NO (from 50 % to -27 %), O (from -49 % to -28 %), NO (from 126 % to 91 %), NH (from 113 % to 85 %), BC (from 322 % to 135 %), and PM (from 58 % to 28 %).

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Source
http://dx.doi.org/10.1016/j.scitotenv.2024.176838DOI Listing

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