What is the Uncertainty Caused by IC/BCs in the Regional/Urban Ozone Simulations

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What is the Uncertainty Caused by IC/BCs in the Regional/Urban Ozone Simulations

Crenshaw, Jack, Contributing Editor has reference to this Academic Journal, PHwiki organized this Journal What is the Uncertainty Caused by IC/BCs in the Regional/Urban Ozone Simulations Linking CMAQ with GEOS-CHEM Global/Regional/Urban Multiscale Study Nan-Kyoung Moon in addition to Daewon Byun Institute as long as Multidimensional Air Quality Studies (IMAQS) University of Houston Rokjin Park in addition to Daniel Jacob Harvard University – Current usage; mostly rely on “climatological” fixed profiles – Could be different at each side of domain reflecting certain regional differences – Work best when outside the boundary of the domain does not have much direct emissions in addition to no high concentration blobs already existing – Need to study sensitivity of the model simulations to the different IC/BCs – In reality fixed profiles are never accurate! Regional air quality modeling requires prescription of IC/BCs The reality provided by ozonesonde observation

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First, Horizontal & Vertical Interpolations needed LAT-LON 2 degree X 2.5 degree 20 layers in Sigma P LAMBERT CONFORMAL 108 km X 108 km 23 layers in Sigma Z (Po) Initial & Boundary Condition in IO/API Format in 108km resolution GEOS-CHEM (Goddard Earth Observing System-CHEMisrty) MODEL3 CMAQ (Community Multi-scale/pollutant Air Quality model) To link GEOS-CHEM with EPA’s CMAQ O3-NOX-Hydrocarbon chemistry : 24 species CMAQ GEOS-CHEM CB4 : 16 species Un-used species : ACET Second, develop procedures matching GEOSCHEM in addition to CMAQ chemistry mechanism CB-4 example IC/BC Process The diagram of linkage between GEOSCHEM in addition to CAMQ

Possible inconsistencies between the global in addition to regional scale dynamics – inflow conditions at the boundary – differences in the evolution of dynamics with time Remedy (yet to be tested) Run regional scale model with global scale output as input as long as initialization in addition to analysis nudging cf: Currently most uses EDAS as basic input as long as MM5 Issues in linking GEOSCHEM in addition to CMAQ (1) GEOSCHEM ; DAO Comparison of Wind Fields GEOSCHEN : W -NWesterly (inflow) MM5 : Northerly (parallel to grid) Let’s see how big the problem is: GEOSCHEM ; DAO

GEOSCHEM : Easterly in addition to northerly MM5 : Clock wise rotation motion GEOSCHEM : inflow MM5 : outflow Chemistry Issues: – coarse resolution concentration distribution in global scale move into fine scale regional grid – differences in the evolution of concentration patterns with time – different chemical mechanism representation – different representation of atmospheric reactivity in the coarse scale Remedy – use as much consistent chemistry mechanisms (TBD) Issues of linking GEOSCHEM in addition to CMAQ (2)

Mapping Table CMAQ GEOS-CHEM SAPRAC-99 (yet to be simulated) Horizontal distribution of O3 concentration from GEOS-CHEM global output at Layer 1 108km resolution 2 X 2.5 degree resolution Horizontal distribution of CO concentration from GEOS-CHEM global output at Layer 1 108km resolution 2 X 2.5 degree resolution

1. GEOSCHEM vs. CMAQ CONUS 2. CMAQ CONUS vs. CMAQ Regional 36-km 3. Effects of using different IC/BCs – profile vs. GEOS-CHEM as long as CONUS domain Comparative Study with CMAQ The comparison of vertical cross section between GEOSCHEM in addition to CONUS results GEOSCHEM 108km CONUS 36km O3 August 16, 2000, 00UTC (First day of simulation) GEOSCHEM CONUS August 16, 2000 (First day of simulation) September 1, 2000 (Last day of simulation)

September 1, 2000. 09 & 21UTC GEOSCHEM CONUS CO August 16, 2000, 00UTC GEOSCHEM CONUS September 1, 2000. 09 & 21UTC GEOSCHEM CONUS

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NO2 August 16, 2000, 00UTC GEOSCHEM CONUS September 1, 2000. 09 & 21UTC GEOSCHEM CONUS The comparison of vertical cross section as long as O3, CO, FORM in addition to NO2 between Regional vs CONUS 36-km CMAQ results. ICBC from GEOSCHEM 108km data

O3, August 31, 2000. 09 & 21 UTC Comparison of horizontal distribution between CONUS in addition to Regional 36km CO, August 31, 2000. 09 & 21 UTC The comparison of vertical cross section between CONUS in addition to regional domain results CONUS 36km Regional 36km

Conclusive Remarks Issues related with linking global tropospheric chemistry model with regional air quality model has been studied Problems with current fixed profile method identified Global tropospheric model provides needed dynamic evolution in addition to concentration distribution realism not existing in profile method We observe significant changes in the atmospheric reactivity conditions depending on profile vs. GEOSCHEM IC/BC Global-regional scale linking is the best when outside the regional domain boundary does not have much direct emission sources; e.g., CONUS domain Need to study the issues of harmonization of chemical mechanisms further Need to quantify in addition to minimize the effects of different dynamics between the global in addition to regional meteorological data used

Crenshaw, Jack Contributing Editor

Crenshaw, Jack is from United States and they belong to Embedded Systems Design and they are from  San Francisco, United States got related to this Particular Journal. and Crenshaw, Jack deal with the subjects like Computer Hardware; Computers; Software Applications

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