Laboratory for Atmospheric and Space PhysicsUniversity of ColoradoBoulder

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Laboratory for Atmospheric and Space PhysicsUniversity of ColoradoBoulder

Laboratory for, United States
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Bardeen C.G.,U.S. National Center for Atmospheric Research | Mills M.J.,U.S. National Center for Atmospheric Research | Fan T.,Colorado College | English J.M.,Laboratory for Atmospheric and Space PhysicsUniversity of ColoradoBoulder | Neely R.R.,U.S. National Center for Atmospheric Research
Journal of Advances in Modeling Earth Systems | Year: 2015

A sectional aerosol model (CARMA) has been developed and coupled with the Community Earth System Model (CESM1). Aerosol microphysics, radiative properties, and interactions with clouds are simulated in the size-resolving model. The model described here uses 20 particle size bins for each aerosol component including freshly nucleated sulfate particles, as well as mixed particles containing sulfate, primary organics, black carbon, dust, and sea salt. The model also includes five types of bulk secondary organic aerosols with four volatility bins. The overall cost of CESM1-CARMA is approximately ∼2.6 times as much computer time as the standard three-mode aerosol model in CESM1 (CESM1-MAM3) and twice as much computer time as the seven-mode aerosol model in CESM1 (CESM1-MAM7) using similar gas phase chemistry codes. Aerosol spatial-temporal distributions are simulated and compared with a large set of observations from satellites, ground-based measurements, and airborne field campaigns. Simulated annual average aerosol optical depths are lower than MODIS/MISR satellite observations and AERONET observations by ∼32%. This difference is within the uncertainty of the satellite observations. CESM1/CARMA reproduces sulfate aerosol mass within 8%, organic aerosol mass within 20%, and black carbon aerosol mass within 50% compared with a multiyear average of the IMPROVE/EPA data over United States, but differences vary considerably at individual locations. Other data sets show similar levels of comparison with model simulations. The model suggests that in addition to sulfate, organic aerosols also significantly contribute to aerosol mass in the tropical UTLS, which is consistent with limited data. © 2015. The Authors.


Zhu Y.,Laboratory for Atmospheric and Space PhysicsUniversity of ColoradoBoulder | Toon O.B.,Laboratory for Atmospheric and Space PhysicsUniversity of ColoradoBoulder | Lambert A.,Jet Propulsion Laboratory | Kinnison D.E.,U.S. National Center for Atmospheric Research | And 4 more authors.
Journal of Advances in Modeling Earth Systems | Year: 2015

Polar stratospheric clouds (PSCs) are critical elements of Arctic and Antarctic ozone depletion. We establish a PSC microphysics model using coupled chemistry, climate, and microphysics models driven by specific dynamics. We explore the microphysical formation and evolution of STS (Supercooled Ternary Solution) and NAT (Nitric Acid Trihydrate). Characteristics of STS particles dominated by thermodynamics compare well with observations. For example, the mass of STS is close to the thermodynamic equilibrium assumption when the particle surface area is >4 μm2/cm3. We derive a new nucleation rate equation for NAT based on observed denitrification in the 2010-2011 Arctic winter. The homogeneous nucleation scheme leads to supermicron NAT particles as observed. We also find that as the number density of NAT particles increases, the denitrification also increases. Simulations of the PSC lidar backscatter, denitrification, and gas phase species are generally within error bars of the observations. However, the simulations are very sensitive to temperature, which limits our ability to fully constrain some parameters (e.g., denitrification, ozone amount) based on observations. © 2015. The Authors.

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