aerosol processes model development and evaluation plans · 2019-08-21 · heterogeneous chemistry...

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1 Rahul Zaveri, Richard Easter, Manish Shrivastava, and Jerome Fast Pacific Northwest National Laboratory Nicole Riemer and Matthew West University of Illinois, Urbana-Champaign Simon Clegg and Anthony Wexler University of California, Davis Sasha Madronich and Julia Lee-Taylor National Center for Atmospheric Research Aerosol Processes Model Development and Evaluation Plans

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Page 1: Aerosol Processes Model Development and Evaluation Plans · 2019-08-21 · Heterogeneous chemistry (e.g., N 2O 5 uptake, sea salt and dust aging) Robust, accurate, and highly efficient

1

Rahul Zaveri, Richard Easter, Manish Shrivastava, and Jerome FastPacific Northwest National Laboratory

Nicole Riemer and Matthew WestUniversity of Illinois, Urbana-Champaign

Simon Clegg and Anthony WexlerUniversity of California, Davis

Sasha Madronich and Julia Lee-TaylorNational Center for Atmospheric Research

Aerosol Processes Model Development and Evaluation Plans

Page 2: Aerosol Processes Model Development and Evaluation Plans · 2019-08-21 · Heterogeneous chemistry (e.g., N 2O 5 uptake, sea salt and dust aging) Robust, accurate, and highly efficient

MOSAIC Aerosol Module

Zaveri, R.A., R.C. Easter, J.D. Fast and L.K. Peters, Model for Simulating Aerosol Interactions and Chemistry (MOSAIC), JGR, 113, D13204, 2008.

Salient FeaturesTreats key aerosol species (SO4, NO3, Cl, CO3, MSA, NH4, Na, Ca, POA, SOA, BC, H2O)

Sectional and particle-resolved dynamics (modal version available soon)Fully dynamic gas-particle mass transferEquilibrium particle phase-state and water contentHeterogeneous chemistry (e.g., N2O5 uptake, sea salt and dust aging)Robust, accurate, and highly efficient numericsFlexible framework for coupling various gas and aerosol processesSuitable for 3-D regional and global modelsImplementation in:

Weather Research and Forecasting Model (WRF-Chem) – doneGlobal model: Community Atmosphere Model (CAM5) – in progressEPA’s CMAQ community model – planned

Page 3: Aerosol Processes Model Development and Evaluation Plans · 2019-08-21 · Heterogeneous chemistry (e.g., N 2O 5 uptake, sea salt and dust aging) Robust, accurate, and highly efficient

MOSAIC Components

Gas: 2.5 ms per hourParticle: 1.5 ms per bin per hour

CPU Cost on3.0 GHz Xeon

Process MOSAIC Sub-ModuleGas-phase Photochemistry

CBM-ZZaveri and Peters [1999]

New particle formation (nucleation)H2SO4 + H2O

Wexler et al. [1994]

CoagulationBrownian Kernel

Jacobson et al. [1994]

Sectional growthTwo-Moment Method

Simmel and Wurzler [2006]

Thermodynamics (activity coefficients)MTEM

Zaveri et al. [2005a]

Thermodynamics (equilibrium phase state)MESA

Zaveri et al. [2005b]Dynamic gas-particle mass transfer(gas-solid, gas-liquid, gas-mixed phase)

ASTEMZaveri et al. [2008]

CCN activation parametersκ-Köhler

Petters and Kreidenweis [2007]

Optical propertiesACKMIE (Shell-Core)

Ackerman and Toon [1981]

Page 4: Aerosol Processes Model Development and Evaluation Plans · 2019-08-21 · Heterogeneous chemistry (e.g., N 2O 5 uptake, sea salt and dust aging) Robust, accurate, and highly efficient

Evaluation of Thermodynamics & Mass TransferTreatments in MOSAIC

H2SO4

HNO3HCl

SolidSalts

Aqueous Phase

OM, BC

NH3

H2O

OH-

NO3-

Cl-

SO4-

Na+NH4

+H+

Ca2+ParticlePhase

Thermodynamic equilibriumwithin the particle phase (depends on composition and RH)

Kinetic mass transfer between the gas and size-distributed particles (1 to 10,000 nm)

These processes together pose an extremely stiff ODE problem.

Numerically difficult and expensive to solve!

Reversible Gas-Particle Reactions

Page 5: Aerosol Processes Model Development and Evaluation Plans · 2019-08-21 · Heterogeneous chemistry (e.g., N 2O 5 uptake, sea salt and dust aging) Robust, accurate, and highly efficient

Aerosol Processes of Current Interest

Secondary organic aerosol (SOA) formation

Thermodynamic properties of mixed organic-inorganic particles

Growth of newly formed particles to CCN active sizes

Evolution of black carbon (BC) mixing state

Effect of mixing state and organics on optical and CCN activation properties

Page 6: Aerosol Processes Model Development and Evaluation Plans · 2019-08-21 · Heterogeneous chemistry (e.g., N 2O 5 uptake, sea salt and dust aging) Robust, accurate, and highly efficient

Secondary Organic Aerosol

Sasha Madronich and colleagues have developed the explicit chemical mechanism GECKO-A (Generator of Explicit Chemistry and Kinetics of Organics in the Atmosphere)

Map GECKO-A output on a polarity-vapor pressure grid proposed by J. Pankow and K. Barsanti

Develop and implement a condensed version of GECKO-A in MOSAIC

Page 7: Aerosol Processes Model Development and Evaluation Plans · 2019-08-21 · Heterogeneous chemistry (e.g., N 2O 5 uptake, sea salt and dust aging) Robust, accurate, and highly efficient

7

Mutual deliquescence point

Solid-liquid equilibrium

Equilibrium water content

Water hysteresis

Aerosol Thermodynamics

A good treatment for phase-state is needed for moderate to low RH values since it determines the particle size and composition, which have a profound effect on the aerosol optical properties

Relative Humidity (%)

50 60 70 80 90

Par

ticle

Mas

s C

hang

e, W

tot/W

dry

1

2

3

4

5

Deliquescence Curve (Experimental, Tang, 1997)Efflorescence Curve (Experimental, Tang, 1997)Deliquescence Curve (MOSAIC)Efflorescence Curve (MOSAIC)

Equimolar Mixture of Na2SO4 and NaCl

Sea-salt deliquescence

Mas

s G

row

th F

acto

r

1

2

3

4

5

Relative Humidity (%)50 60 70 80 90

Page 8: Aerosol Processes Model Development and Evaluation Plans · 2019-08-21 · Heterogeneous chemistry (e.g., N 2O 5 uptake, sea salt and dust aging) Robust, accurate, and highly efficient

Interactions between Inorganics and Organics

OrganicsH2SO4

HNO3HCl

Salts,BC

Aqueous Phase

NH3

H2O

OH-

NO3-

Cl-

SO4-

Na+NH4

+H+

Ca2+

Particle Phase

LiquidPOA +SOA

Gas Phase Evidence of the effect of organics

Saxena et al., Organics alter hygroscopic behaviour of atmospheric particles, JGR, 1995.

Choi, M. Y. and Chan, C. K.: The Effects of Organic Species on the Hygroscopic Behaviors of Inorganic Aerosols, ES&T, 2002.

Gysel et al., Hygroscopic properties of water-soluble matter and humic-like organics in atmospheric fine aerosol, ACP, 2004.

Marcolli and Krieger, Phase changes during hygroscopic cycles of mixed organic/inorganic model systems of tropospheric aerosols, JPCA, 2006.

Virtanen et al., An amorphous solid state of biogenic secondary organic aerosol particles, Nature, 2010.

OrganicsH2SO4

HNO3HCl

Salts, BC,

POA,SOA

Aqueous Phase

NH3

H2O

OH-

NO3-

Cl-

SO4-

Na+NH4

+H+

Ca2+

Particle Phase

Gas Phase

Org

Page 9: Aerosol Processes Model Development and Evaluation Plans · 2019-08-21 · Heterogeneous chemistry (e.g., N 2O 5 uptake, sea salt and dust aging) Robust, accurate, and highly efficient

Interactions between Inorganics and Organics

Salts,Organics

Aqueous PhaseH2O

OH-

NO3-

Cl-

SO4-

Na+NH4

+H+

Ca2+

Org

Wtotal = Winorganics + f Worganics + (1-f)Worganics

Wtotal = Winorganics + Worganics

Water shared between inorganics and organics, which is used to dissolve inorganics in phase-state calculations

Water due to organics that is NOT available to dissolve inorganics

Modified Phase-State and Aerosol Water Content Determination

Page 10: Aerosol Processes Model Development and Evaluation Plans · 2019-08-21 · Heterogeneous chemistry (e.g., N 2O 5 uptake, sea salt and dust aging) Robust, accurate, and highly efficient

10

water activity, aw

0.0 0.2 0.4 0.6 0.8 1.0

mas

s fra

ctio

n so

lute

0.0

0.2

0.4

0.6

0.8

1.0

NaCl

NaCl + Glycerol

water activity, aw

0.0 0.2 0.4 0.6 0.8 1.0

mas

s fra

ctio

n so

lute

0.0

0.2

0.4

0.6

0.8

1.0

NaCl

glycerol

NaCl : glycerol = 1:1 by mass

water activity, aw

0.0 0.2 0.4 0.6 0.8 1.0

mas

s fra

ctio

n so

lute

0.0

0.2

0.4

0.6

0.8

1.0

Experiment (Marcolli and Krieger, 2006)NaCl

glycerol

NaCl : glycerol = 1:1 by mass

water activity, aw

0.0 0.2 0.4 0.6 0.8 1.0

mas

s fra

ctio

n so

lute

0.0

0.2

0.4

0.6

0.8

1.0

Experiment (Marcolli and Krieger, 2006)MOSAIC (f = 1) NaCl

glycerol

Page 11: Aerosol Processes Model Development and Evaluation Plans · 2019-08-21 · Heterogeneous chemistry (e.g., N 2O 5 uptake, sea salt and dust aging) Robust, accurate, and highly efficient

11

NaCl : 1,2-hexanediol = 1:1 by mass

water activity, aw

0.0 0.2 0.4 0.6 0.8 1.0

mas

s fra

ctio

n so

lute

0.0

0.2

0.4

0.6

0.8

1.0

Experiment (Marcolli and Krieger, 2006)MOSAIC (f = 1) NaCl

1,2-hexanediol

NaCl + 1,4-hexanediol

Page 12: Aerosol Processes Model Development and Evaluation Plans · 2019-08-21 · Heterogeneous chemistry (e.g., N 2O 5 uptake, sea salt and dust aging) Robust, accurate, and highly efficient

12

Ammonium Sulfate + 1,2-hexanediol

AS : 1,2-hexanediol = 1:1 by mass

water activity, aw

0.0 0.2 0.4 0.6 0.8 1.0

mas

s fra

ctio

n so

lute

0.0

0.2

0.4

0.6

0.8

1.0

Experiment (Marcolli and Krieger, 2006)MOSAIC (f = 1)

AS

1,2-hexanediol

AS : 1,2-hexanediol = 1:1 by mass

water activity, aw

0.0 0.2 0.4 0.6 0.8 1.0

mas

s fra

ctio

n so

lute

0.0

0.2

0.4

0.6

0.8

1.0

Experiment (Marcolli and Krieger, 2006)MOSAIC (f = 1)MOSAIC (f = 0.1)

AS

1,2-hexanediol

Page 13: Aerosol Processes Model Development and Evaluation Plans · 2019-08-21 · Heterogeneous chemistry (e.g., N 2O 5 uptake, sea salt and dust aging) Robust, accurate, and highly efficient

13

Ammonium Nitrate + 1,2-hexanediol

AN : 1,2-hexanediol = 1:1 by mass

water activity, aw

0.0 0.2 0.4 0.6 0.8 1.0

mas

s fra

ctio

n so

lute

0.0

0.2

0.4

0.6

0.8

1.0

Experiment (Marcolli and Krieger, 2006)MOSAIC (f = 1)

AN

1,2-hexanediol

AN : 1,2-hexanediol = 1:1 by mass

water activity, aw

0.0 0.2 0.4 0.6 0.8 1.0

mas

s fra

ctio

n so

lute

0.0

0.2

0.4

0.6

0.8

1.0

Experiment (Marcolli and Krieger, 2006)MOSAIC (f = 1)MOSAIC (f = 0.1)

AN

1,2-hexanediol

Page 14: Aerosol Processes Model Development and Evaluation Plans · 2019-08-21 · Heterogeneous chemistry (e.g., N 2O 5 uptake, sea salt and dust aging) Robust, accurate, and highly efficient

Comprehensive Treatment NeededNeed growth data for authentic SOA + inorganic mixtures

Biogenic SOA + inorganic mixtures

Anthropogenic SOA + inorganic mixtures

Develop and evaluate the f-factor parameterizationParameter f as a function of O:C ratio, OOA, HOA, BBOA, morphology, etc.

Evaluate using field observations (AMS, SPLAT, HTDMA)

Page 15: Aerosol Processes Model Development and Evaluation Plans · 2019-08-21 · Heterogeneous chemistry (e.g., N 2O 5 uptake, sea salt and dust aging) Robust, accurate, and highly efficient

Aerosol Mixing State Evolution

Mixing-states of primary aerosols change over time by coagulation, condensation, emission, dilution, and other processes.

Aerosol mixing-state affects optical properties, CCN activation properties, and ice nucleation propertiesTraditional sectional and modal aerosol models do not adequately resolve aerosol mixing state

externally mixed particles

time

aged particles

0.01 0.1 1 10 100particle diameter (µm)

mas

s AccumulationMode

CoarseMode

AikenMode

Modal

0.01 0.1 1 10 100particle diameter (µm)

mas

s

Sectional

Page 16: Aerosol Processes Model Development and Evaluation Plans · 2019-08-21 · Heterogeneous chemistry (e.g., N 2O 5 uptake, sea salt and dust aging) Robust, accurate, and highly efficient

Particle-Resolved Modeling Approach

Explicitly resolve individual particles in a complex aerosol within a small volume of air that represents a much larger well-mixed air mass of interest

Use MOSAIC modules for trace gas emission, dilution, photochemistry, aerosol thermodynamics, and gas-particle mass transfer

Use PartMC, a stochastic Monte Carlo module, for particle coagulation, emission, and dilution

Extended MOSAIC to a particle-resolved aerosol framework to explicitly simulate evolution of particle number, mass, and mixing-state

PartMC-MOSAIC serves as a numerical benchmark for evaluating sectional and modal approaches used in 3-D models

Page 17: Aerosol Processes Model Development and Evaluation Plans · 2019-08-21 · Heterogeneous chemistry (e.g., N 2O 5 uptake, sea salt and dust aging) Robust, accurate, and highly efficient

Sample Result: Particle-Resolved Evolution of Aerosol Mixing State in an Urban Plume

Page 18: Aerosol Processes Model Development and Evaluation Plans · 2019-08-21 · Heterogeneous chemistry (e.g., N 2O 5 uptake, sea salt and dust aging) Robust, accurate, and highly efficient

Effect of Binning on Ensemble Mean Optical Properties

Page 19: Aerosol Processes Model Development and Evaluation Plans · 2019-08-21 · Heterogeneous chemistry (e.g., N 2O 5 uptake, sea salt and dust aging) Robust, accurate, and highly efficient

Nucleation and Growth in an Urban Air MassObservations of nucleation and growth during MILAGRO 2006

Examine the Role of Ammonium Nitrate in the Growth of Nanoparticles

Ammonium nitrate is semi-volatile and very tricky to simulate

Formation depends on

Gas-phase concentrations of HNO3 and NH3

Particle-phase composition (esp., acidity) and phase state

Temperature and relative humidity19

Page 20: Aerosol Processes Model Development and Evaluation Plans · 2019-08-21 · Heterogeneous chemistry (e.g., N 2O 5 uptake, sea salt and dust aging) Robust, accurate, and highly efficient

Modeled Growth of Newly Formed Particles

20

RH = 40% RH = 85%

Rapid growth due to NH4NO3condensation on dry particles

No growth due to strong Kelvin effect

WRONG REASON!

Page 21: Aerosol Processes Model Development and Evaluation Plans · 2019-08-21 · Heterogeneous chemistry (e.g., N 2O 5 uptake, sea salt and dust aging) Robust, accurate, and highly efficient

Growth of Newly Formed Particles

21

RH = 40% RH = 85%

Rapid growth due to NH4NO3condensation on dry particles

No growth due to strong Kelvin effect

Page 22: Aerosol Processes Model Development and Evaluation Plans · 2019-08-21 · Heterogeneous chemistry (e.g., N 2O 5 uptake, sea salt and dust aging) Robust, accurate, and highly efficient

Model Evaluation Using CARES Data

22

Local closures for optical and CCN activation properties

Constrained Lagrangian modeling for CARES episodes

SOA formation

BC mixing state evolution

Constrained modeling of growth of newly formed particles to CCN active sizes