HR: 1340h
AN: A13C-1364 [Abstracts]
TI: Preliminary Evaluation of GEOS-5 Aerosol and CO Distributions Forecast During TC4
AU: * Colarco, P
EM: Peter.R.Colarco@nasa.gov
AF: NASA GSFC/Code 613.3, Code 613.3
NASA Goddard Space Flight Center, Greenbelt, MD 20771, United States
AU: da Silva, A
EM: Arlindo.M.Dasilva@nasa.gov
AF: NASA GSFC/Code 610.1, Code 610.1
NASA Goddard Space Flight Center, Greenbelt, MD 20771, United States
AU: Kawa, S R
EM: kawa@maia.gsfc.nasa.gov
AF: NASA GSFC/Code 613.3, Code 613.3
NASA Goddard Space Flight Center, Greenbelt, MD 20771, United States
AU: Bian, H
EM: Huisheng.Bian.1@gsfc.nasa.gov
AF: NASA GSFC-Code 613.3/UMBC-GEST, Code 613.3
NASA Goddard Space Flight Center, Greenbelt, MD 20771, United States
AU: McGill, M
EM: Matthew.J.McGill@nasa.gov
AF: NASA GSFC/Code 613.1, Code 613.1
NASA Goddard Space Flight Center, Greenbelt, MD 20771, United States
AU: Hlavka, D
EM: Dennis.L.Hlavka@nasa.gov
AF: NASA GSFC-Code 613.1/SSAI, Code 613.1
NASA Goddard Space Flight Center, Greenbelt, MD 20771, United States
AU: Joiner, J
EM: Joanna.Joiner@nasa.gov
AF: NASA GSFC/Code 613.3, Code 613.3
NASA Goddard Space Flight Center, Greenbelt, MD 20771, United States
AU: Newman, P
EM: Paul.A.Newman@nasa.gov
AF: NASA GSFC/Code 613.3, Code 613.3
NASA Goddard Space Flight Center, Greenbelt, MD 20771, United States
AU: Schoeberl, M
EM: Mark.R.Schoeberl@nasa.gov
AF: NASA GSFC/Code 613.3, Code 613.3
NASA Goddard Space Flight Center, Greenbelt, MD 20771, United States
AB:
The NASA Tropical Composition, Cloud, and Climate Coupling (TC4) Mission was based out San Jose, Costa
Rica during July and August 2007. During TC4 the NASA Global Modeling and Assimilation Office (GMAO) ran
twice-daily 0.5° x 0.666° global 5-day forecasts of the Goddard Earth Observing System atmospheric
general circulation model and data assimilation system (GEOS-5). This implementation of GEOS-5 contained an
aerosol and carbon monoxide (CO) model to provide online forecast tropospheric distributions of dust, sea salt,
sulfate, and carbonaceous aerosols and CO for both the planning of flights and for science. Here we provide a
description of the aerosol and CO modeling system and give a preliminary evaluation of forecast tracer
distributions. Our comparisons to satellite observations of aerosol and CO show qualitatively similar simulated
distributions of tracers to those observed. During TC4 copious amounts of dust were observed in the Caribbean.
The model generally reproduced the observations of the timing of dust events and the vertical structure in the
lower atmosphere. However, the model simulations had too much aerosol at high altitudes relative to airborne
Cloud Physics Lidar observations. The results were similar for biomass burning aerosol and CO tracers, where
the model showed higher simulated concentrations of these tracers at aircraft flight altitude than observations.
UR: http://code613-3.gsfc.nasa.gov/People/Colarco/Mission_Support/
DE: 0305 Aerosols and particles (0345, 4801, 4906)
DE: 0365 Troposphere: composition and chemistry
DE: 0368 Troposphere: constituent transport and chemistry
DE: 3311 Clouds and aerosols
DE: 3337 Global climate models (1626, 4928)
SC: Atmospheric Sciences [A]
MN: 2007 Fall Meeting