HR: 09:15h
AN: A21F-06    [Abstracts]
TI: The Influence of Lateral and Top Boundary Conditions on Regional Air Quality Prediction: a Multi-Scale Study Coupling Regional and Global Chemical Transport Models
AU: * Tang, Y
EM: ytang@cgrer.uiowa.edu
AF: Center for Global and Regional Environmental Research Unversity of Iowa, 402 IATL, Iowa City, IA 52242 United States
AU: Carmichael, G R
EM: gcarmich@engineering.uiowa.edu
AF: Center for Global and Regional Environmental Research Unversity of Iowa, 402 IATL, Iowa City, IA 52242 United States
AU: Thongboonchoo, N
EM: nthongbo@cgrer.uiowa.edu
AF: Center for Global and Regional Environmental Research Unversity of Iowa, 402 IATL, Iowa City, IA 52242 United States
AU: Horowitz, L
EM: larry.horowitz@noaa.gov
AF: NOAA Geophysical Fluid Dynamics Laboratory, Princeton Unversity, Princeton, NJ 08542 United States
AU: Pfister, G
EM: pfister@ucar.edu
AF: National Center for Atmospheric Research, National Center for Atmospheric Research, Boulder, CO 80307 United States
AU: Chai, T
EM: tchai@cgrer.uiowa.edu
AF: Center for Global and Regional Environmental Research Unversity of Iowa, 402 IATL, Iowa City, IA 52242 United States
AU: Avery, M A
EM: m.a.avery@larc.nasa.gov
AF: NASA Langley Research Center, NASA Langley Research Center, Hampton, VA 23681 United States
AU: Pierce, R B
EM: r.b.pierce@larc.nasa.gov
AF: NASA Langley Research Center, NASA Langley Research Center, Hampton, VA 23681 United States
AU: Al-Saadi, J A
EM: j.a.al-saadi@nasa.gov
AF: NASA Langley Research Center, NASA Langley Research Center, Hampton, VA 23681 United States
AU: Ryerson, T B
EM: tryerson@al.noaa.gov
AF: NOAA Aeronomy Laboratory, 325 Broadway, Boulder, CO 80303 United States
AU: Sachse, G W
EM: glen.w.sachse@nasa.gov
AF: NASA Langley Research Center, NASA Langley Research Center, Hampton, VA 23681 United States
AU: Holloway, J
EM: John.S.Holloway@noaa.gov
AF: NOAA Aeronomy Laboratory, 325 Broadway, Boulder, CO 80303 United States
AB: We examined the sensitivity of the regional air quality model, STEM-2K3 to boundary conditions provided by 3 global models for ICARTT period. The predictions of global models show strong impact on the regional model performance for relatively long-lived species, such as CO and O₃: : the surface O₃ and CO difference can be up to 50 ppbv, 300 ppbv respectively in the 60km domain covering the continental USA. We also test the model prediction under time-varied, time-independent and predefined profile boundary conditions in a 60km primary and nested 12km domains. The measured data from ICARTT DC-8 and WP-3 flights are used to examine the simulations in summer 2004. Our sensitivity study shows that upper-layer O₃ and near-boundary CO are very sensitivity to inflow boundary conditions. For most other species, the sensitivity of the finer domain to the lateral boundary is higher than that of the coarser domain. Elevated layers are more sensitive to the boundary conditions than the surface sites. In the 12km domain covering Northeastern USA, the surface O₃ difference between the simulations with time-varied and fix boundary conditions can exceed 80 ppbv, and the corresponding CO difference could be up to 200 ppbv. Other than the simulating scale, the influence of boundary conditions are also determined by the relative strength of inner pollutant sources compared to external forcing.
DE: 0345 Pollution: urban and regional (0305, 0478, 4251)
DE: 0368 Troposphere: constituent transport and chemistry
DE: 0550 Model verification and validation
DE: 3238 Prediction (3245, 4263)
DE: 3355 Regional modeling
SC: Atmospheric Sciences [A]
MN: Fall Meeting 2005