MOSAIC: A flexible new aerosol thermodynamics...

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Website: LAE.MIT.EDU Twitter: @MIT_LAE MOSAIC: A flexible new aerosol thermodynamics model Sebastian D. Eastham, Jessica Kunke, Mike Long, Rahul Zaveri

Transcript of MOSAIC: A flexible new aerosol thermodynamics...

Page 1: MOSAIC: A flexible new aerosol thermodynamics modelacmg.seas.harvard.edu/presentations/IGC7/talks/... · MOSAIC: A flexible new aerosol thermodynamics model Sebastian D. Eastham,

Website: LAE.MIT.EDU

Twitter: @MIT_LAE

MOSAIC: A flexible new aerosol

thermodynamics modelSebastian D. Eastham, Jessica Kunke, Mike Long, Rahul Zaveri

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Goals

• Implement MOSAIC aerosol model into GEOS-Chem

• Provide new modeling opportunities

• This is a work in progress – interested in feedback and needs

of modeling community

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Aerosols in GEOS-Chem

ISORROPIA II

(eg HNO3 ↔ NO3-)

𝑡 → ∞

Gases

Aerosols*

Equilibrium partitioning

Gases

(eg HNO3)

Aerosols

(eg NO3-)

Initial conditions

𝑡 = 𝑡0

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Possibilities

• MOSAIC models internally-mixed aerosol in N bins:

• Size-dependent non-equilibrium partitioning w/hysteresis

• Aerosol microphysics (sectional)

• Organic species (BC, OC, SORGAM)

• Sea salt and crustal components (Na, Cl, Ca)

• Inorganic mass (e.g. dust)

• Coming soon: modal aerosols, externally mixed aerosol…

• MOSAIC actively updated and widely implemented

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Nitrate partitioning - equilibrium

Trump, E.R., Fountoukis, C., Donahue, N.M., Pandis, S.N., 2015. Improvement of simulation of

fine inorganic PM levels through better descriptions of coarse particle chemistry. Atmos.

Environ. 102, 274–281.

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Nitrate partitioning – kinetic

Trump, E.R., Fountoukis, C., Donahue, N.M., Pandis, S.N., 2015. Improvement of simulation of

fine inorganic PM levels through better descriptions of coarse particle chemistry. Atmos.

Environ. 102, 274–281.

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Nitrate partitioning

• Figure from Trump et al 2015

• Total PM10 not sensitive to

aerosol distribution

• Partitioning between PM1

(harmful) and PM1-10 controlled

by non-equilibrium processes

Trump, E.R., Fountoukis, C., Donahue, N.M., Pandis, S.N., 2015. Improvement of simulation of

fine inorganic PM levels through better descriptions of coarse particle chemistry. Atmos.

Environ. 102, 274–281.

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Goals and preliminary tests

1. Bulk MOSAIC – 90% (minimal code disruption)

2. Sectional MOSAIC – 40%

2-bin

4-bin

8-bin

3. Mineral dust? SOA?

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Bulk nitrate

Bulk MOSAIC – ISORROPIA II ISORROPIA II

-2 0 +2 +4 0 10 20

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Bulk ammonium

Bulk MOSAIC – ISORROPIA II ISORROPIA II

0 +2 +4 0 10 20 30

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Bulk sulfate

Bulk MOSAIC – ISORROPIA II ISORROPIA II

-0.08 -0.04 0 0 1 2 3 4

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Sectional implementation in GEOS-Chem

100%

0%

50%

Nitrate on non-dust PM2.5/PM10

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Future work

• Determine most useful features for GEOS-Chem community

• MOSAIC includes sectional and modal size distributions

• Need to simulate and validate against observations

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Sebastian D. Eastham

[email protected]

Website: LAE.MIT.EDU

Twitter: @MIT_LAE

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References and credits

"Pollution over east China". Licensed under Public Domain via Wikimedia Commons -

http://commons.wikimedia.org/wiki/File:Pollution_over_east_China.jpg#/media/File:Pollution_over_east_China.jpg

Trump, E.R., Fountoukis, C., Donahue, N.M., Pandis, S.N., 2015. Improvement of simulation of fine inorganic PM levels through better descriptions of coarse particle

chemistry. Atmos. Environ. 102, 274–281.