Simulation of particle size distributions in Polar Mesospheric Clouds from Microphysical Models

Details Simulation of particle size distributions in Polar Mesospheric Clouds from Microphysical Models Simulation of particle size distributions in Polar Mesospheric Clouds from Microphysical Models

Dec 2009

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2009agufmsa41a1594t&link_type=abstract

American Geophysical Union, Fall Meeting 2009, abstract #SA41A-1594

Physics

Optics

[0305] Atmospheric Composition And Structure / Aerosols And Particles, [0319] Atmospheric Composition And Structure / Cloud Optics, [0321] Atmospheric Composition And Structure / Cloud/Radiation Interaction, [0320] Atmospheric Composition And Structure / Cloud Physics And Chemistry

Scientific paper

The size distribution of ice particles is perhaps the most important observable aspect of microphysical processes in Polar Mesospheric Cloud (PMC) formation and evolution. A conventional technique to derive such information is from optical observation of scattering, either passive solar scattering from photometric or spectrometric techniques, or active backscattering by lidar. We present simulated size distributions from two state-of-the-art models using CARMA sectional microphysics: WACCM/CARMA, in which CARMA is interactively coupled with WACCM3 (Bardeen et al, 2009), and stand-alone CARMA forced by WACCM3 meteorology (Merkel et al, this meeting). Both models provide well-resolved size distributions of ice particles as a function of height, location and time for realistic high-latitude summertime conditions. In this paper we present calculations of the UV scattered brightness at multiple scattering angles as viewed by the AIM Cloud Imaging and Particle Size (CIPS) satellite experiment. These simulations are then considered discretely-sampled “data” for the scattering phase function, which are inverted using a technique (Lumpe et al, this meeting) to retrieve particle size information. We employ a T-matrix scattering code which applies to a wide range of non-sphericity of the ice particles, using the conventional idealized prolate/oblate spheroidal shape. This end-to-end test of the relatively new scattering phase function technique provides insight into both the retrieval accuracy and the information content in passive remote sensing of PMC.

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