Science Inventory

Using Advanced Monitoring Tools to Evaluate PM PM2.5 2.5 in San Joaquin Valley

Citation:

Rosen, R., J. Al-Saadi, C. BOHNENKAMP, J. SZYKMAN, D. A. Chu, J. Hair, C. Hostetler, R. Ferrare, G. Arcemont, C. Kittaka, AND J. Lewis. Using Advanced Monitoring Tools to Evaluate PM PM2.5 2.5 in San Joaquin Valley. Presented at 2008 Science Forum, Washington, DC, May 20 - 22, 2008.

Impact/Purpose:

Presentation

Description:

One of the primary data deficiencies that prevent the advance of policy relevant research on particulate matter, ozone, and associated precursors is the lack of measurement data and knowledge on the true vertical profile and synoptic-scale spatial distributions of the pollutants. With regards to aerosol and trace gases the surface based networks have been the source for much of our knowledge on air quality characterization on an on-going and systematic basis. Over the past several years major advances have been made in the area of remote sensing that allow for the generation of continuous or near-continuous synoptic-scale aerosol and trace gas data sets from satellites and aerosol vertical profile data sets from LIDARs. Vertical profiling of atmospheric aerosols can benefit greatly when combined with concurrent satellite measurements that give column totals. To use these data effectively, a measurement system is needed to provide vertical detail at sufficient intervals in space and time. The vertical profile data can be combined with satellite data to yield good-quality 3-D analyses over broad regions such as the San Joaquin Valley. The integration of satellite, vertical profile, and point in situ measurements to research the 3-D distribution of pollutants mimics methodologies that have proven successful for analyzing diverse types of meteorological data to answer complex issues. Through integration with regional and local observations capabilities, an understanding of air quality will begin to emerge on a global-to-local basis.

Record Details:

Record Type:DOCUMENT( PRESENTATION/ SLIDE)
Product Published Date:05/22/2008
Record Last Revised:12/07/2009
OMB Category:Other
Record ID: 191306