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Nocturnal Boundary Layer Height Uncertainty in Particulate Matter Simulations during the KORUS-AQ Campaign

Hyo‐Jung Lee, Hyun‐Young Jo, Jong‐Min Kim, Juseon Bak, Moon-Soo Park, Jung-Kwon Kim, Yu‐Jin Jo, Cheol‐Hee Kim

2023Remote Sensing17 citationsDOIOpen Access PDF

Abstract

Vertical mixing in the planetary boundary layer (PBL) is an important factor in the prediction of particulate matter (PM) concentrations; however, PBL height (PBLH) in the stable atmosphere remains poorly understood. In particular, the assessment of uncertainties related to nocturnal PBLH (nPBLH) is challenging due to the absence of stable atmosphere observations. In this study, we explored nPBLH–PM2.5 interactions by comparing model results and observations during the Korea–United States Air Quality Study (KORUS-AQ) campaign (1–31 May 2016). Remote sensing measurements (e.g., aerosol and wind Doppler lidar) and on-line WRF-Chem modeling results were used by applying three different PBL parameterizations: Yonsei University (YSU), Mellor–Yamada–Janjic (MYJ), and Asymmetrical Convective Model v2 (ACM2). Our results indicated that the uncertainties of PBLH–PM interactions were not large in daytime, whereas the uncertainties of nPBLH–PM2.5 interactions were significant. All WRF-Chem experiments showed a clear tendency to underestimate nighttime nPBLH by a factor of ~3 compared with observations, and shallow nPBLH clearly led to extremely high PM2.5 peaks during the night. These uncertainties associated with nPBLH and nPBLH–PM2.5 simulations suggest that PM2.5 peaks predicted from nighttime or next-morning nPBLH simulations should be interpreted with caution. Additionally, we discuss uncertainties among PBL parameterization schemes in relation to PM2.5 simulations.

Topics & Concepts

Weather Research and Forecasting ModelPlanetary boundary layerAtmospheric sciencesParticulatesEnvironmental scienceAerosolAir quality indexDaytimeBoundary layerMeteorologyPhysicsChemistryThermodynamicsOrganic chemistryAtmospheric chemistry and aerosolsAir Quality and Health ImpactsAtmospheric aerosols and clouds
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