2023
DOI: 10.3390/rs15020300
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Nocturnal Boundary Layer Height Uncertainty in Particulate Matter Simulations during the KORUS-AQ Campaign

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 (KO… Show more

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Cited by 3 publications
(1 citation statement)
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“…For instance, local PBL schemes assume vertical transport only between adjacent model layers and are indicated to work better under stable stratification due to the local mixing associated with small eddies, while nonlocal PBL schemes allow the transport between distant layers and perform better under unstable stratification to account for the effect of larger eddies [18]. The impacts of PBL schemes on different studies were the subject of several works [19][20][21][22][23]. Different PBL schemes were tested using the WRF model under a wide range of model versions, meteorological conditions, atmospheric processes, and methodologies in the past few years [24][25][26][27][28].…”
Section: Introductionmentioning
confidence: 99%
“…For instance, local PBL schemes assume vertical transport only between adjacent model layers and are indicated to work better under stable stratification due to the local mixing associated with small eddies, while nonlocal PBL schemes allow the transport between distant layers and perform better under unstable stratification to account for the effect of larger eddies [18]. The impacts of PBL schemes on different studies were the subject of several works [19][20][21][22][23]. Different PBL schemes were tested using the WRF model under a wide range of model versions, meteorological conditions, atmospheric processes, and methodologies in the past few years [24][25][26][27][28].…”
Section: Introductionmentioning
confidence: 99%