Modal Bin Hybrid Model: A surface area consistent, triple‐moment sectional method for use in process‐oriented modeling of atmospheric aerosols

[1] A triple-moment sectional (TMS) aerosol dynamics model, Modal Bin Hybrid Model (MBHM), has been developed. In addition to number and mass (volume), surface area is predicted (and preserved), which is important for aerosol processes and properties such as gas-to-particle mass transfer, heterogeneous reaction, and light extinction cross section. The performance of MBHM was evaluated against double-moment sectional (DMS) models with coarse (BIN4) to very fine (BIN256) size resolutions for simulating evolution of particles under simultaneously occurring nucleation, condensation, and coagulation processes (BINx resolution uses x sections to cover the 1 nm to 1 µm size range). Because MBHM gives a physically consistent form of the intrasectional distributions, errors and biases of MBHM at BIN4-8 resolution were almost equivalent to those of DMS at BIN16–32 resolution for various important variables such as the moments Mk (k: 0, 2, 3), dMk/dt, and the number and volume of particles larger than a certain diameter. Another important feature of MBHM is that only a single bin is adequate to simulate full aerosol dynamics for particles whose size distribution can be approximated by a single lognormal mode. This flexibility is useful for process-oriented (multicategory and/or mixing state) modeling: Primary aerosols whose size parameters would not differ substantially in time and space can be expressed by a single or a small number of modes, whereas secondary aerosols whose size changes drastically from 1 to several hundred nanometers can be expressed by a number of modes. Added dimensions can be applied to MBHM to represent mixing state or photochemical age for aerosol mixing state studies.

[1]  F. Binkowski,et al.  The Regional Particulate Matter Model 1. Model description and preliminary results , 1995 .

[2]  M. Jacobson,et al.  Strong radiative heating due to the mixing state of black carbon in atmospheric aerosols , 2022 .

[3]  Mark Z. Jacobson,et al.  Fundamentals of atmospheric modeling , 1998 .

[4]  K. Lehtinen,et al.  Evaluation of the sectional aerosol microphysics module SALSA implementation in ECHAM5-HAM aerosol-climate model , 2011 .

[5]  M. Kajino MADMS: Modal Aerosol Dynamics model for multiple Modes and fractal Shapes in the free-molecular and near-continuum regimes , 2011 .

[6]  J. Thornton,et al.  Quantifying trace gas uptake to tropospheric aerosol: recent advances and remaining challenges. , 2012, Chemical Society reviews.

[7]  M. Yau,et al.  A Multimoment Bulk Microphysics Parameterization. Part II: A Proposed Three-Moment Closure and Scheme Description , 2005 .

[8]  Ulrich Pöschl,et al.  Gas uptake and chemical aging of semisolid organic aerosol particles , 2011, Proceedings of the National Academy of Sciences.

[9]  Mikhail Ovchinnikov,et al.  Droplet nucleation: Physically‐based parameterizations and comparative evaluation , 2011 .

[10]  J. Wilson,et al.  A modeling study of global mixed aerosol fields , 2001 .

[11]  N. Fuchs,et al.  HIGH-DISPERSED AEROSOLS , 1971 .

[12]  Y. Kondo,et al.  EMTACS: Development and regional‐scale simulation of a size, chemical, mixing type, and soot shape resolved atmospheric particle model , 2011 .

[13]  K. W. Lee,et al.  The log-normal size distribution theory of brownian aerosol coagulation for the entire particle size range: Part I—analytical solution using the harmonic mean coagulation kernel , 1999 .

[14]  Matthew West,et al.  Particle‐resolved simulation of aerosol size, composition, mixing state, and the associated optical and cloud condensation nuclei activation properties in an evolving urban plume , 2010 .

[15]  J. Penner,et al.  Coupled IMPACT aerosol and NCAR CAM3 model: Evaluation of predicted aerosol number and size distribution , 2009 .

[16]  Tami C. Bond,et al.  Emissions of primary aerosol and precursor gases in the years 2000 and 1750 prescribed data-sets for AeroCom , 2006 .

[17]  S. Pratsinis Simultaneous nucleation, condensation, and coagulation in aerosol reactors , 1988 .

[18]  Jerome D. Fast,et al.  Model for Simulating Aerosol Interactions and Chemistry (MOSAIC) , 2008 .

[19]  N. Takegawa,et al.  Aging of black carbon in outflow from anthropogenic sources using a mixing state resolved model: Model development and evaluation , 2009 .

[20]  K. Salzen Piecewise log-normal approximation of size distributions for aerosol modelling , 2005 .

[21]  J. Wilson,et al.  M7: An efficient size‐resolved aerosol microphysics module for large‐scale aerosol transport models , 2004 .

[22]  A scaling theory for the size distribution of emitted dust aerosols suggests climate models underestimate the size of the global dust cycle , 2010, Proceedings of the National Academy of Sciences.

[23]  J. Seinfeld,et al.  Development and application of the Model of Aerosol Dynamics, Reaction, Ionization, and Dissolution (MADRID) , 2004 .

[24]  C. Zender,et al.  Mineral Dust Entrainment and Deposition (DEAD) model: Description and 1990s dust climatology , 2003 .

[25]  C. Kuang,et al.  Dependence of nucleation rates on sulfuric acid vapor concentration in diverse atmospheric locations , 2008 .

[26]  Steven J. Ghan,et al.  Impact of aerosol size representation on modeling aerosol‐cloud interactions , 2002 .

[27]  M. Jacobson Development and application of a new air pollution modeling system—II. Aerosol module structure and design , 1997 .

[28]  H. Ueda,et al.  Development of the RAQM2 aerosol chemical transport model and predictions of the Northeast Asian aerosol mass, size, chemistry, and mixing type , 2012 .

[29]  K. W. Lee,et al.  Condensational Growth of Polydisperse Aerosol for the Entire Particle Size Range , 2000 .

[30]  R. C. Easter,et al.  Simulating the evolution of soot mixing state with a particle-resolved aerosol model , 2008, 0809.0875.

[31]  Some topics in nuclear aerosol dynamics , 1986 .

[32]  X. Qu,et al.  Droplet evaporation and condensation in the near-continuum regime , 2001 .

[33]  M. Kulmala,et al.  Analytical formulae connecting the “real” and the “apparent” nucleation rate and the nuclei number concentration for atmospheric nucleation events , 2002 .

[34]  Peter H. McMurry,et al.  Modal Aerosol Dynamics Modeling , 1997 .

[35]  M. Kajino,et al.  Modeling wet deposition and concentration of inorganics over Northeast Asia with MRI-PM/c , 2012 .

[36]  Xindi Bian,et al.  MIRAGE: Model description and evaluation of aerosols and trace gases , 2004 .

[37]  A. Nenes,et al.  ISORROPIA: A New Thermodynamic Equilibrium Model for Multiphase Multicomponent Inorganic Aerosols , 1998 .

[38]  J. Seinfeld,et al.  Size- and Composition-Resolved Externally Mixed Aerosol Model , 1998 .

[39]  E. Nilsson,et al.  Laboratory simulations and parameterization of the primary marine aerosol production , 2003 .

[40]  Leonard K. Peters,et al.  A computationally efficient Multicomponent Equilibrium Solver for Aerosols (MESA) , 2005 .

[41]  Y. Wang,et al.  Implementation of a two‐moment bulk microphysics scheme to the WRF model to investigate aerosol‐cloud interaction , 2008 .

[42]  Richard Neale,et al.  Toward a Minimal Representation of Aerosols in Climate Models: Description and Evaluation in the Community Atmosphere Model CAM5 , 2012 .

[43]  Axel Lauer,et al.  MADE-in : a new aerosol microphysics submodel for global simulation of insoluble particles and their mixing state , 2011 .

[44]  O. Boucher,et al.  The aerosol-climate model ECHAM5-HAM , 2004 .

[45]  Hitoshi Matsui,et al.  Development and validation of a black carbon mixing state resolved three‐dimensional model: Aging processes and radiative impact , 2013 .

[46]  J. Seinfeld,et al.  Sectional representations for simulating aerosol dynamics , 1980 .

[47]  Hideo Ohashi,et al.  Sulfate aerosol as a potential transport medium of radiocesium from the Fukushima nuclear accident. , 2012, Environmental science & technology.

[48]  M. Simmel,et al.  Condensation and activation in sectional cloud microphysical models , 2006 .

[49]  Min Hu,et al.  Nucleation and growth of nanoparticles in the atmosphere. , 2012, Chemical reviews.

[50]  H. Ueda,et al.  MICS-Asia II: The model intercomparison study for Asia Phase II methodology and overview of findings , 2008 .

[51]  M. Jacobson Studying the effects of calcium and magnesium on size-distributed nitrate and ammonium with EQUISOLV II , 1999 .

[52]  R. Ruedy,et al.  MATRIX (Multiconfiguration Aerosol TRacker of mIXing state): an aerosol microphysical module for global atmospheric models , 2008 .