HR: 1340h
AN: A53A-0155 [Abstracts]
TI: Evaluation of Tropospheric Aerosol Microphysics Simulations Using Assimilated Meteorology and Field
Campaign Observations
AU: * Trivitayanurak, W
EM: win@cmu.edu
AF: Dept of Civil and Environmental Engineering, Carnegie Mellon University, 5000 Forbse Ave., Pittsburgh,
PA 15213
United States
AU: Adams, P J
EM: peteradams@cmu.edu
AF: Dept of Civil and Environmental Engineering & Dept of Engineering and Public Policy, Carnegie Mellon
University, 5000 Forbse Ave., Pittsburgh, PA 15213
United States
AB:
A major goal of global aerosol modeling is the prediction of aerosol number concentrations and size distributions that will
contribute to determination of cloud condensation nuclei (CCN) and ultimately estimation of the aerosol indirect effects,
which are still very uncertain. To date, field campaigns provide the most detailed observations of aerosol microphysical
behavior. Meaningful model-observation comparisons require assimilated meteorology so simulations reproduce the specific
meteorological or pollution events of a given field campaign. To this end, the TwO-Moment Aerosol Sectional (TOMAS)
microphysical algorithm is integrated into the GEOS-CHEM model, a global three-dimensional model of tropospheric chemistry
driven by assimilated meteorological observations from the Goddard Earth Observing System (GEOS). TOMAS in GEOS-CHEM
improves the previous aerosol model by tracking aerosol evolution on a microphysical basis. TOMAS algorithm conserves both
number and mass concentrations of aerosol segregated into 30 size bins. The microphysical processes include coagulation,
condensation, evaporation, nucleation, size-resolved wet deposition and size-resolved dry deposition. To test the aerosol
model, the model predictions will be compared with the observational data from the Asian Pacific Regional Aerosol
Characterization Experiment (ACE-Asia) and Transport and Chemical Evolution over the Pacific (TRACE-P) experiment carried out
during the spring of 2001. The various aspects of aerosol behavior that will be investigated are the model treatment of
primary ultrafine aerosol emissions, predictions of aerosol vertical profiles, and the nucleation parameterization.
DE: 1610 Atmosphere (0315, 0325)
DE: 3337 Global climate models (1626, 4928)
DE: 3394 Instruments and techniques
DE: 4801 Aerosols (0305, 4906)
SC: Atmospheric Sciences [A]
MN: Fall Meeting 2005