HR: 11:30h
AN: A72B-04    [Abstracts]
TI: Air Quality and Observations From Space: Using High-Resolution Atmospheric Chemistry Model Data for a Time-Resolved Tropospheric Chemistry Mission Study
AU: * Creilson, J
EM: john.k.creilson@nasa.gov
AF: NASA Langley Research Center, Science Directorate 21 Langley Blvd., Hampton, VA 23681, United States
AU: Neil, D
EM: d.neil@nasa.gov
AF: NASA Langley Research Center, Science Directorate 21 Langley Blvd., Hampton, VA 23681, United States
AU: Fishman, J
EM: jack.fishman@nasa.gov
AF: NASA Langley Research Center, Science Directorate 21 Langley Blvd., Hampton, VA 23681, United States
AU: Byun, D
EM: daewon.byun@noaa.gov
AF: NOAA Air Resources Laboratory, 1315 East West Highway, Silver Spring, MD 20910, United States
AU: Jiang, X
EM: xjiang2@mail.uh.edu
AF: University of Houston, Institute for Multidimensional Air Quality Studies (IMAQS) 4800 Calhoun Rd., Houston, TX 77204, United States
AB: To better capture the formation and impact of air pollution episodes from space, the NRC Decadal Survey recommended that NASA undertake an atmospheric chemistry mission from geostationary orbit, GEO-CAPE. Satellites from low Earth orbit sample at best once per day, with relatively coarse spatial resolutions (10s- to 100 km), limiting analysis of precursor development and emission sources. From geostationary orbit, GEO- CAPE is expected to deliver hourly data at 5-10 km horizontal spatial resolution. This study was performed to better understand spatial and temporal sampling strategies in the mission's design. We used atmospheric chemistry data generated from EPA's Community Multiscale Air Quality (CMAQ) modeling system during one week of the 2006 Air Quality Field Study (TexAQS II, Aug 30 - Sep 5, 2006) to optimize spatial and temporal resolution for each of the principal mission measurements (O3, CO, NO2, SO2, HCHO, and aerosols), using autocorrelation techniques. The CMAQ data that we used was generated every 15 minutes at a 4km spatial resolution with a domain of Eastern Texas. We also used the data coupled with available ozonesonde and radiosonde measurements, satellite observations, and surface observations to help characterize the 4 dimensional state of the atmosphere during that week. The results of this sampling study will help to define the next-generation air quality satellite mission, with the ultimate goal of improving air quality management and human health.
DE: 0345 Pollution: urban and regional (0305, 0478, 4251)
DE: 0365 Troposphere: composition and chemistry
DE: 3355 Regional modeling
DE: 3360 Remote sensing
DE: 3394 Instruments and techniques
SC: Atmospheric Sciences [A]
MN: 2009 Joint Assembly