HR: 16:30h
AN: A14D-03    [Abstracts]
TI: Chemical Data Assimilation of MOPITT CO and MODIS AOD Retrievals in the Community Atmosphere Model
AU: * Arellano, A F
EM: arellano@ucar.edu
AF: Atmospheric Chemistry Division, National Center for Atmospheric Research (ACD/NCAR), PO Box 3000, Boulder, CO 80307-3000, United States
AU: Hess, P G
EM: hess@ucar.edu
AF: Atmospheric Chemistry Division, National Center for Atmospheric Research (ACD/NCAR), PO Box 3000, Boulder, CO 80307-3000, United States
AU: Edwards, D P
EM: edwards@ucar.edu
AF: Atmospheric Chemistry Division, National Center for Atmospheric Research (ACD/NCAR), PO Box 3000, Boulder, CO 80307-3000, United States
AU: Anderson, J L
EM: jla@ucar.edu
AF: Institute for Mathematics Applied to Geosciences, PO Box 3000, Boulder, CO 80307-3000, United States
AU: Raeder, K
EM: raeder@cgd.ucar.edu
AF: Institute for Mathematics Applied to Geosciences, PO Box 3000, Boulder, CO 80307-3000, United States
AU: Emmons, L K
EM: emmons@ucar.edu
AF: Atmospheric Chemistry Division, National Center for Atmospheric Research (ACD/NCAR), PO Box 3000, Boulder, CO 80307-3000, United States
AU: Pfister, G G
EM: pfister@ucar.edu
AF: Atmospheric Chemistry Division, National Center for Atmospheric Research (ACD/NCAR), PO Box 3000, Boulder, CO 80307-3000, United States
AU: Campos, T
EM: campos@ucar.edu
AF: Atmospheric Chemistry Division, National Center for Atmospheric Research (ACD/NCAR), PO Box 3000, Boulder, CO 80307-3000, United States
AU: Diskin, G
EM: g.s.diskin@larc.nasa.gov
AF: Chemistry and Dynamics Branch, NASA Langley Research Center, NASA Langley Research Center, Hampton, VA 23681-2199, United States
AB: We explore the potential of an ensemble-based data assimilation system for multi-species chemical data assimilation. The system consists of an online global chemical transport model, the Community Atmosphere Model (CAMv3.4) with chemistry from the Model of OZone And Related chemical Tracers (MOZARTv4), and a community ensemble Kalman filter (EnKF) assimilation package, the Data Assimilation Research Testbed (DART) being developed at the National Center for Atmospheric Research (NCAR). Our initial application focuses on jointly assimilating meteorological observations from the existing global meteorological network and satellite retrievals of CO from the Measurement of Pollution in the Troposphere (MOPITT) instrument and aerosol optical depth (AOD) from the Moderate Resolution Imaging Spectroradiometer (MODIS) instrument. We begin by first assimilating meteorological observations and MOPITT retrievals and explore the impact of the assimilation on better representing aerosol transport and combustion-related aerosol sources in CAM. We then investigate the additional impact of assimilating MODIS AOD retrievals on the modeled concentrations of sulfate, organic carbon, black carbon, dust, sea-salt aerosols and CO. Unlike previous analyses, the EnKF scheme is potentially capable of statistically updating the individual states of each aerosol types from the ensemble estimate of AOD and CO sensitivities. We present results of our analysis, both from observing system simulation experiments (OSSEs) and an assimilation of real observations focusing on April 2006 test period. This coincides with the Inter- continental Chemical Transport Experiment (INTEX-B) conducted over Hawaii and the northeastern Pacific. We verify the modeled aerosol and CO distributions using observations of CO and aerosol species from this campaign in conjunction with observations of AOD from the Aerosol Robotic Network (AERONET).
DE: 0305 Aerosols and particles (0345, 4801, 4906)
DE: 0345 Pollution: urban and regional (0305, 0478, 4251)
DE: 0368 Troposphere: constituent transport and chemistry
DE: 3260 Inverse theory
DE: 3315 Data assimilation
SC: Atmospheric Sciences [A]
MN: 2007 Fall Meeting