HR: 11:05h
AN: A42A-04    [Abstracts]
TI: A Comprehensive Investigation of Warm Season CO Lofting and Transport Episodes Utilizing In Situ Measurements, a Regional Scale Chemical Transport Model, and Satellite-Derived Data
AU: * Kiley, C M
EM: ckiley@met.fsu.edu
AF: Department of Meteorology, Florida State University, 404 Love Building, Tallahassee, FL 32306 United States
AU: Fuelberg, H E
EM: fuelberg@met.fsu.edu
AF: Department of Meteorology, Florida State University, 404 Love Building, Tallahassee, FL 32306 United States
AU: McMillan, W W
EM: mcmillan@umbc.edu
AF: Department of Physics, University of Maryland Baltimore County, 1000 Hiltop Circle, Baltimore, MD 21250-0001 United States
AU: Carmichael, G R
EM: gcarmich@icaen.uiowa.edu
AF: Center for Global and Regional Environmental Research, University of Iowa, Iowa City, IA 52242 United States
AU: Tang, Y
EM: ytang@cgrer.uiowa.edu
AF: Center for Global and Regional Environmental Research, University of Iowa, Iowa City, IA 52242 United States
AU: Warner, J
EM: juying@umbc.edu
AF: Department of Physics, University of Maryland Baltimore County, 1000 Hiltop Circle, Baltimore, MD 21250-0001 United States
AB: Periods during INTEX-A (June - August 2004) are selected when interesting spatial patterns were observed in the Atmospheric InfraRed Sounder (AIRS) carbon monoxide (CO) imagery. Examples of cases that are selected include warm conveyor belts and biomass burning in Alaska. These cases exhibit interesting CO spatial and temporal evolutions over a several day period. Four dimensional fields of CO from the Sulfur Transport Eularian Model (STEM) are available for the INTEX-A period. Output from MM5 runs used in STEM are also available. The STEM-derived CO vertical profiles in the areas of interest are imported into the Stand-alone AIRS Radiative Transfer Algorithm (SARTA) to calculate radiation spectra. The calculated spectra then are input to the AIRS CO retrieval code to create a synthetic version of AIRS CO imagery. As a result of the above steps, synthetic AIRS imagery that is fully consistent with the underlying meteorology is created. Thus, STEM and its known meteorology provide a link between the synthetic imagery and the processes that produced it. An important point is that the synthetic AIRS CO imagery is available at much shorter time intervals than provided by AIRS, thereby enabling the evolution of CO patterns to be examined in greater detail. Special attention is given to horizontal and vertical transport processes that influence the CO patterns.
DE: 0341 Middle atmosphere: constituent transport and chemistry (3334)
DE: 3314 Convective processes
DE: 3329 Mesoscale meteorology
DE: 3360 Remote sensing
SC: Atmospheric Sciences [A]
MN: Fall Meeting 2005