| タイトル | Improving Air Quality Forecasts with AURA Observations |
| 著者（英） | Williams, R.; Newchurch, M. J.; Khan, M.; Koshak, W. J.; Nair, U.; Parker, Y.; Fuller, K.; Biazer, A.; Wang, L.; Liu, X. |
| 著者所属（英） | NASA Marshall Space Flight Center |
| 発行日 | 2008-05-27 |
| 言語 | eng |
| 内容記述 | Past studies have identified model initial and boundary conditions as sources of reducible errors in air-quality simulations. In particular, improving the initial condition improves the accuracy of short-term forecasts as it allows for the impact of local emissions to be realized by the model and improving boundary conditions improves long range transport through the model domain, especially in recirculating anticyclones. During the August 2006 period, we use AURA/OMI ozone measurements along with MODIS and CALIPSO aerosol observations to improve the initial and boundary conditions of ozone and Particulate Matter. Assessment of the model by comparison of the control run and satellite assimilation run to the IONS06 network of ozonesonde observations, which comprise the densest ozone sounding campaign ever conducted in North America, to AURA/TES ozone profile measurements, and to the EPA ground network of ozone and PM measurements will show significant improvement in the CMAQ calculations that use AURA initial and boundary conditions. Further analyses of lightning occurrences from ground and satellite observations and AURA/OMI NO2 column abundances will identify the lightning NOx signal evident in OMI measurements and suggest pathways for incorporating the lightning and NO2 data into the CMAQ simulations. |
| NASA分類 | Meteorology and Climatology |
| 権利 | Copyright |
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