HR: 1340h
AN: A23A-0878    [Abstracts]
TI: Use of Combined A-Train Observations to Validate GEOS Model Simulated Dust Distributions During NAMMA
AU: * Nowottnick, E P
EM: epnowott@atmos.umd.edu
AF: University of Maryland, Dept. of Atmospheric and Oceanic Sciences, Bldg. 224, College Park, MD 20742, United States
AU: Colarco, P R
EM: peter.r.colarco@nasa.gov
AF: NASA Goddard Space Flight Center, Atmospheric Chemistry and Dynamics Branch, Code 613.3, Greenbelt, MD 20771, United States
AU: da Silva, A
EM: Arlindo.DaSilva@nasa.gov
AF: NASA Goddard Space Flight Center, Global Modeling and Assimilation Office, Code 610.1, Greenbelt, MD 20771, United States
AU: Colarco, A M
EM: Amelia.M.Colarco@nasa.gov
AF: NASA Goddard Space Flight Center, Atmospheric Chemistry and Dynamics Branch, Code 613.3, Greenbelt, MD 20771, United States
AU: Yang, P
EM: pyang@ariel.met.tamu.edu
AF: Texas A&M University, Dept. of Atmospheric Sciences, College Station, TX 77843, United States
AU: Smith, J A
EM: jamisons@lasp.colorado.edu
AF: University of Colorado at Boulder, Laboratory for Atmospheric and Space Physics, 392 UCB, Boulder, CO 80309, United States
AB: During August 2006, the NASA African Multidisciplinary Analyses Mission (NAMMA) field experiment was conducted to characterize the structure of African Easterly Waves and their evolution into tropical storms. Mineral dust aerosols affect tropical storm development, although their exact role remains to be understood. To better understand the role of dust on tropical cyclogenesis, we have implemented a dust source, transport, and optical model in the NASA Goddard Earth Observing System (GEOS) atmospheric general circulation model and data assimilation system. Our dust source scheme is a more physically based scheme than previous incarnations of the model, and we introduce improved dust optical and microphysical processes through inclusion of a detailed microphysical scheme. Here we use A-Train observations from MODIS, OMI, and CALIPSO with NAMMA DC-8 flight data to evaluate the simulated dust distributions and microphysical properties. Our goal is to synthesize the multi-spectral observations from the A-Train sensors to arrive at a consistent set of optical properties for the dust aerosols suitable for direct forcing calculations.
DE: 0305 Aerosols and particles (0345, 4801, 4906)
DE: 0360 Radiation: transmission and scattering
DE: 3337 Global climate models (1626, 4928)
DE: 3360 Remote sensing
SC: Atmospheric Sciences [A]
MN: 2007 Fall Meeting