Conference proceeding
Observing System Simulation Experiments (OSSEs) Using a Regional Air Quality Application for Evaluation
AIR POLLUTION MODELING AND ITS APPLICATION XXIV, pp.599-605
2016
DOI: 10.1007/978-3-319-24478-5_97
Abstract
Satellite-based and high-altitude airborne remotely sensed air quality data complement land-based and routinely commercial-flight and other measurement-campaign acquired remotely sensed and in situ observations. It is important to optimize the combination and placement of these wide ranges of measurements and data acquisition options for cost-effectiveness. Under this initiative we attempt to quantify the gain by a regional state-of-the-science chemical data assimilation and chemical transport modeling system when incremental sets of observation are acquired into the system. This study represents a first step in a series of steps to ingest such proposed incremental additions of observation. The efficacy of such proposals is quantified systematically by Observation Simulation System Experiments (OSSEs). We compared two end-to-end regional air quality forecasting simulations using: (a) the Weather Forecasting and Research (WRF) regional application initialized by the U.S. national Weather Service (NWS) Global Forecasting System (GFS) coupled with the U.S. Environmental Protection Agency Community Multi-scale Air Quality (CMAQ) chemical model (Byun and Schere 2006), and (b) the same as above but with a new GFS enhanced by assimilating a fictitious addition of Atmospheric Infrared Sounder (AIRS) retrieved radiances at 13 km spatial resolution at nadir from a proposed geostationary satellite positioned over 75oW staring over the U. S. Both sensitivity runs were performed in 12 km horizontal grid resolution and with daily initialization for 12 days between July 29 and August 9 2005. Noticeable forecast skill improvement in surface concentration for O-3 and particulate matter smaller than 2.5 mu m in diameter (PM2.5) was achieved.
Details
- Title: Subtitle
- Observing System Simulation Experiments (OSSEs) Using a Regional Air Quality Application for Evaluation
- Creators
- P Lee - NOAA Air Resources LaboratoryR Atlas - NOAA Atlantic Oceanographic and Meteorological LaboratoriesG Carmichael - University of IowaY H Tang - NOAA Air Resources LaboratoryB Pierce - National Environmental Satellite and Information Service (NESDIS), Madison, USAA P Biazar - University of AlabamaL Pan - NOAA Air Resources LaboratoryH Kim - NOAA Air Resources LaboratoryD Tong - NOAA Air Resources LaboratoryW W Chen - NOAA Air Resources Laboratory
- Contributors
- N Chaumerliac (Editor)
- Resource Type
- Conference proceeding
- Publication Details
- AIR POLLUTION MODELING AND ITS APPLICATION XXIV, pp.599-605
- DOI
- 10.1007/978-3-319-24478-5_97
- Language
- English
- Date published
- 2016
- Academic Unit
- Civil and Environmental Engineering; Nursing; Chemical and Biochemical Engineering
- Record Identifier
- 9984232159502771
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