HR: 09:00h
AN: A41F-03    [Abstracts]
TI: A Microphysical Cloud Resolving LES Model That Integrates Robust Numerical, Experimental, and Observational Components to Predict Aerosol Effects on Climate
AU: * Reisner, J M
EM: reisner@lanl.gov
AF: Los Alamos National Laboratory, MS D462 Earth and Environmental Science, International Space and Response, Theory, and Chemistry Divisions Los Alamos National, Los Alamos, NM 87545 United States
AU: Dubey, M K
EM: dubey@lanl.gov
AF: Los Alamos National Laboratory, MS D462 Earth and Environmental Science, International Space and Response, Theory, and Chemistry Divisions Los Alamos National, Los Alamos, NM 87545 United States
AU: Jeffery, C A
AF: Los Alamos National Laboratory, MS D462 Earth and Environmental Science, International Space and Response, Theory, and Chemistry Divisions Los Alamos National, Los Alamos, NM 87545 United States
AU: Chylek, P
AF: Los Alamos National Laboratory, MS D462 Earth and Environmental Science, International Space and Response, Theory, and Chemistry Divisions Los Alamos National, Los Alamos, NM 87545 United States
AU: Olsen, S C
AF: Los Alamos National Laboratory, MS D462 Earth and Environmental Science, International Space and Response, Theory, and Chemistry Divisions Los Alamos National, Los Alamos, NM 87545 United States
AU: Andrejczuk, M
AF: Los Alamos National Laboratory, MS D462 Earth and Environmental Science, International Space and Response, Theory, and Chemistry Divisions Los Alamos National, Los Alamos, NM 87545 United States
AU: Smith, W S
AF: Los Alamos National Laboratory, MS D462 Earth and Environmental Science, International Space and Response, Theory, and Chemistry Divisions Los Alamos National, Los Alamos, NM 87545 United States
AU: Moulton, J D
AF: Los Alamos National Laboratory, MS D462 Earth and Environmental Science, International Space and Response, Theory, and Chemistry Divisions Los Alamos National, Los Alamos, NM 87545 United States
AU: Porch, W
AF: Los Alamos National Laboratory, MS D462 Earth and Environmental Science, International Space and Response, Theory, and Chemistry Divisions Los Alamos National, Los Alamos, NM 87545 United States
AU: Henson, B F
AF: Los Alamos National Laboratory, MS D462 Earth and Environmental Science, International Space and Response, Theory, and Chemistry Divisions Los Alamos National, Los Alamos, NM 87545 United States
AU: Smilowitz, L
AF: Los Alamos National Laboratory, MS D462 Earth and Environmental Science, International Space and Response, Theory, and Chemistry Divisions Los Alamos National, Los Alamos, NM 87545 United States
AU: Davis, A
AF: Los Alamos National Laboratory, MS D462 Earth and Environmental Science, International Space and Response, Theory, and Chemistry Divisions Los Alamos National, Los Alamos, NM 87545 United States
AU: Bleck, R
AF: Los Alamos National Laboratory, MS D462 Earth and Environmental Science, International Space and Response, Theory, and Chemistry Divisions Los Alamos National, Los Alamos, NM 87545 United States
AU: Stephens, J
AF: Los Alamos National Laboratory, MS D462 Earth and Environmental Science, International Space and Response, Theory, and Chemistry Divisions Los Alamos National, Los Alamos, NM 87545 United States
AB: As part of an internal LANL project, three key components---numerics, experiments, and observations---needed to accurately model cloud-aerosol interactions at high spatial resolutions are currently being developed and integrated. Once validated, our cloud-aerosol model will be used to understand how aerosols modify mass, momentum, and energy budgets within the boundary-layer, thus providing critical information to develop parameterizations for both direct and indirect aerosol effects in coarser resolution global climate models. The numerical component involves solving the cloud-aerosol equation set via a nonlinear Newton-Krylov (NK) approach. This unique numerical approach is unlike most approaches used for cloud modeling in that it requires cloud parameterizations be smooth on the dynamical time scale of the problem. This ensures that the temporal error is small and bounded during a NK simulation. We stress that temporal errors in more traditional approaches can become so large that model interpretation becomes essentially meaningless. Another critical numerical component of our work is limiting evaporation at cloud boundaries, without which long-lived stratus clouds can spuriously disappear. Two new limiting approaches are being developed at LANL, a continuous probability distribution function-based approach commonly used in combustion modeling and a discrete approach based upon a stochastic particle model. Parameters in our aerosol microphysics model (e.g. what fraction of aerosol type (e. g. salt, sulfate, carbonaceous) are effective as a cloud condensation nuclei, and how effective are these at taking up water) are being tuned using laboratory experiments on water uptake on various aerosol types. Furthermore, we plan to utilize high resolution observations of temperature and water distributions in shallow cumulus clouds from DOE's Multispectral Thermal Imager (MTI) satellite over Oklahoma's ARM site to calibrate and validate our models, including 3D radiative transfer effects in the observations.
DE: 0300 ATMOSPHERIC COMPOSITION AND STRUCTURE
DE: 0305 Aerosols and particles (0345, 4801)
DE: 0320 Cloud physics and chemistry
DE: 0341 Middle atmosphere--constituent transport and chemistry (3334)
DE: 0368 Troposphere--constituent transport and chemistry
SC: Atmospheric Sciences [A]
MN: 2005 Joint Assembly