HR: 08:40h
AN: A11E-03 INVITED    [Abstracts]
TI: Application of Multi-Sensor Fusion to the Aerosol Forecasting Problem
AU: * Reid, J S
EM: jeffrey.reid@nrlmry.navy.mil
AF: Naval Research Laboratory, 7 Grace Hopper St., Stop 2, Monterey, CA 93943, United States
AU: Zhang, J
EM: jianglong.zhang@nrlmry.navy.mil
AF: Dept. of Atmospheric Science, University of North Dakota, Grand Forks, ND 58202,
AU: Hsu, C
EM: christina.hsu@nasa.gov
AF: NASA Goddard SFC, Mail Code 613, Greenbelt, MD 20771,
AU: Christopher, S A
EM: sundar@nsstc.uah.edu
AF: Dept. of Atmospheric Science, Univ. of Alabama, Huntsville, AL 35805,
AU: Hyer, E J
EM: edward.hyer@nrlmry.navy.mil
AF: Naval Research Laboratory, 7 Grace Hopper St., Stop 2, Monterey, CA 93943, United States
AU: Kuciaskas, A P
EM: arunas.kuciaskas@nrlmry.navy.mil
AF: Naval Research Laboratory, 7 Grace Hopper St., Stop 2, Monterey, CA 93943, United States
AU: Westphal, D L
EM: westphal@nrlmry.navy.mil
AF: Naval Research Laboratory, 7 Grace Hopper St., Stop 2, Monterey, CA 93943, United States
AU: Kahn, R A
EM: ralph.kahn@nasa,gov
AF: NASA Goddard SFC, Mail Code 613, Greenbelt, MD 20771,
AU: Hansen, J A
EM: james.hansen@nrlmry.navy.mil
AF: Naval Research Laboratory, 7 Grace Hopper St., Stop 2, Monterey, CA 93943, United States
AB: The current Earth observing satellite constellation is at a pinnacle, and the near-future schedule suggests that a host of environmental monitoring capabilities will likely be lost over the next five to ten years. The MODIS carrying satellites are nearing the end of their design life, and the NPOESS satellites have been de-scoped and delayed. Many A-Train products, currently taken for granted, will simply not exist to support continuing operational aerosol missions. This situation places the aerosol forecasting community in a particularly difficult position. For air quality systems, the utilization of multiple satellite products and sensors in a data assimilation framework will become a necessity. In this talk we give a brief overview of current capabilities and challenges based on existing sensor products. This includes not only those pertaining to aerosol particle retrievals, but related environmental products that have great potential in improving simulations of 4-dimensional aerosol fields. However, we also show that situations can arise where multi-product fusion and assimilation can actually be detrimental if not interpreted carefully. Given future sensor efficacy and mission plans, possible solutions will then be given on how to maintain our current capabilities into the future. Potential exists not only for fusion of level 2 or 3 products, but also for incorporating numerous level 1b products in single retrievals. Similarly, model results should influence the retrieval process, whether through external meteorological and ensemble input, iterative product data assimilation, or ultimately, radiance assimilation. We see hope for consistency through the Deep Blue algorithm or through combined polar orbiter/geostationary products such as the proposed multi-angle spectropolarimetric imager (MSPI) with GOES-R.
DE: 0305 Aerosols and particles (0345, 4801, 4906)
DE: 0312 Air/sea constituent fluxes (3339, 4504)
DE: 0345 Pollution: urban and regional (0305, 0478, 4251)
DE: 0399 General or miscellaneous
DE: 3311 Clouds and aerosols
SC: Atmospheric Sciences [A]
MN: 2007 Fall Meeting