@article{9893a7e6db6145e8b5c58ff3fc4bea9c,
title = "Predicting Vertical Concentration Profiles in the Marine Atmospheric Boundary Layer With a Markov Chain Random Walk Model",
abstract = "In an effort to better represent aerosol transport in mesoscale and global-scale models, large eddy simulations (LES) from the National Center for Atmospheric Research (NCAR) Turbulence with Particles (NTLP) code are used to develop a Markov chain random walk model that predicts aerosol particle profiles in a cloud-free marine atmospheric boundary layer (MABL). The evolution of vertical concentration profiles are simulated for a range of aerosol particle sizes and in a neutral and an unstable boundary layer. For the neutral boundary layer we find, based on the LES statistics and a specific model time step, that there exist significant correlation for particle positions, meaning that particles near the bottom of the boundary are more likely to remain near the bottom of the boundary layer than being abruptly transported to the top, and vice versa. For the unstable boundary layer, a similar time interval exhibits a weaker tendency for an aerosol particle to remain close to its current location compared to the neutral case due to the strong nonlocal convective motions. In the limit of a large time interval, particles have been mixed throughout the MABL and virtually no temporal correlation exists. We leverage this information to parameterize a Markov chain random walk model that accurately predicts the evolution of vertical concentration profiles. The new methodology has significant potential to be applied at the subgrid level for coarser-scale weather and climate models, the utility of which is shown by comparison to airborne field data and global aerosol models.",
keywords = "aerosol transport, atmospheric modeling, large eddy simulation (LES), random walk, sea spray generation, upscaled modeling",
author = "Park, {Hyungwon John} and Thomas Sherman and Freire, {Livia S.} and Guiquan Wang and Diogo Bolster and Peng Xian and Armin Sorooshian and Reid, {Jeffrey S.} and Richter, {David H.}",
note = "Funding Information: H. P., G. W., and D. R. were supported by the Office of Naval Research (ONR) under Grant No. N00014-16-1-2472 and the Army Research Office under Grant No. G00003613-ArmyW911NF-17-0366. L. F. was funded by S{\~a}o Paulo Research Foundation (FAPESP, Brazil) Grant No. 2018/24284-1. Computational resources were provided by the Notre Dame Center for Research Computing. T. S. is supported by the National Science Foundation Graduate Research Fellowship under Grant No. DGE-1841556. Authors P. X. and J. S. R.'s contributions were supported by the Office of Naval Research Code 322 and the NRL Base Program. Author A. S.'s contributions were funded by the Office of Naval Research grant N00014-16-1-2567 and National Aeronautics and Space Administration (NASA) grant 80NSSC19K0442, the latter of which is in support of the ACTIVATE Earth Venture Suborbital-3 (EVS-3) investigation, which is funded by NASA's Earth Science Division and managed through the Earth System Science Pathfinder Program Office. We also give thanks to the data provided by the Navy global aerosol model (NAAPS). Funding Information: H. P., G. W., and D. R. were supported by the Office of Naval Research (ONR) under Grant No. N00014‐16‐1‐2472 and the Army Research Office under Grant No. G00003613‐ArmyW911NF‐17‐0366. L. F. was funded by S{\~a}o Paulo Research Foundation (FAPESP, Brazil) Grant No. 2018/24284‐1. Computational resources were provided by the Notre Dame Center for Research Computing. T. S. is supported by the National Science Foundation Graduate Research Fellowship under Grant No. DGE‐1841556. Authors P. X. and J. S. R.'s contributions were supported by the Office of Naval Research Code 322 and the NRL Base Program. Author A. S.'s contributions were funded by the Office of Naval Research grant N00014‐16‐1‐2567 and National Aeronautics and Space Administration (NASA) grant 80NSSC19K0442, the latter of which is in support of the ACTIVATE Earth Venture Suborbital‐3 (EVS‐3) investigation, which is funded by NASA's Earth Science Division and managed through the Earth System Science Pathfinder Program Office. We also give thanks to the data provided by the Navy global aerosol model (NAAPS). Publisher Copyright: {\textcopyright}2020. American Geophysical Union. All Rights Reserved.",
year = "2020",
month = oct,
day = "16",
doi = "10.1029/2020JD032731",
language = "English (US)",
volume = "125",
journal = "Journal of Geophysical Research Atmospheres",
issn = "2169-897X",
number = "19",
}