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Development of a global aerosol micr...
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Carnegie Mellon University.
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Development of a global aerosol microphysics model driven by assimilated meteorology and evaluation against field campaign data.
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Development of a global aerosol microphysics model driven by assimilated meteorology and evaluation against field campaign data./
作者:
Trivitayanurak, Win.
面頁冊數:
144 p.
附註:
Source: Dissertation Abstracts International, Volume: 70-01, Section: B, page: 0162.
Contained By:
Dissertation Abstracts International70-01B.
標題:
Atmospheric Sciences. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoeng/servlet/advanced?query=3342747
ISBN:
9780549974390
Development of a global aerosol microphysics model driven by assimilated meteorology and evaluation against field campaign data.
Trivitayanurak, Win.
Development of a global aerosol microphysics model driven by assimilated meteorology and evaluation against field campaign data.
- 144 p.
Source: Dissertation Abstracts International, Volume: 70-01, Section: B, page: 0162.
Thesis (Ph.D.)--Carnegie Mellon University, 2009.
We implement the TwO-Moment Aerosol Sectional (TOMAS) microphysics model into the GEOS-Chem CTM that is driven by assimilated meteorology. TOMAS has 30 size sections covering 0.01 --- 10 mum diameter with conservation equation for both aerosol mass and number. The implementation enables GEOS-Chem to simulate aerosol microphysics, size distributions, mass and number concentrations.
ISBN: 9780549974390Subjects--Topical Terms:
1019179
Atmospheric Sciences.
Development of a global aerosol microphysics model driven by assimilated meteorology and evaluation against field campaign data.
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We implement the TwO-Moment Aerosol Sectional (TOMAS) microphysics model into the GEOS-Chem CTM that is driven by assimilated meteorology. TOMAS has 30 size sections covering 0.01 --- 10 mum diameter with conservation equation for both aerosol mass and number. The implementation enables GEOS-Chem to simulate aerosol microphysics, size distributions, mass and number concentrations.
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In the first stage of development, sulfate and sea-salt aerosol model results from GEOS-Chem with TOMAS are intercompared with global models with sectional microphysics: GISS GCM-II' and GLOMAP. Predictions of CN10 and CCN(0.2%) by all models agree well within a factor of two in the boundary layer but differ more at altitudes. Comparison with marine boundary layer observations of CN10 and CCN(0.2%) shows that all models perform well with average errors of 30 -- 50%. Differences among models stress the need for updated emission inventories and accurate meteorology and oxidant fields.
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The second stage encompasses implementation of carbonaceous aerosols, including organic mass (OM), elemental carbon (EC), and secondary organic aerosol (SOA). Sensitivity of CCN prediction to the uncertain POA-SOA contribution to the total OA budget is examined by artificially shifting OA sources from POA emission to SOA production rate. The different microphysical pathways of POA and SOA resulting in decreased CCN(0.2%) everywhere as the model changes from POA to SOA because SOA condenses onto mostly accumulation mode. POA is twice as effective per unit mass compared to SOA at CCN production at the model surface. Completely changing from POA to SOA results in 20% CCN(0.2%) reduction at the surface as well as globally.
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The fully developed TOMAS aerosol microphysics model with sulfate, sea-salt, OM, EC, and dust is evaluated against observations from ACE-Asia field campaign. This is the first highly time-resolved aerosol microphysics evaluation. The Napari et al. (2002) ternary nucleation captures PBL nucleation events but overpredicting frequency and also predicts excessive nucleation in the free troposphere. The assumed size of primary OM from biofuel may be too large. Biomass burning OM emission is not captured well for part of the studied period. Further work is needed to better understand the reason for model underprediction of OM.
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This work opens up possibility for global aerosol microphysics simulations and future evaluation in highly time-resolved manner with the use of a CTM driven by realistic meteorology. Suggestions for model improvement contribute to future development of the TOMAS microphysics model that will consequently improve the quality of global CCN predictions; better CCN predictions will likely reduce the uncertainties in aerosol indirect effect estimates.
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