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John Streicher

John Streicher AMAD Staff

Education:

Professional Experience:

2008 - Present: Physical Scientist, USEPA/ORD/NERL/AMAD/AMDB, Research Triangle Park, NC

1993 - 2008: Physical Scientist, NOAA Atmospheric Sciences Modeling Division (in partnership with USEPA/NERL), Research Triangle Park, NC

1991 - 1993: Scientific Programmer, Computer Sciences Corporation, Durham, NC

1988 - 1991: Software Engineer, General Electric Corporation, Burlington, IA

1987 - 1988: Physical Scientist, U.S. Dept of Agriculture, Clemson, SC

1983 - 1987: Research Assistant, University of British Columbia, Vancouver, BC

1980 - 1983: Physical Scientist, McDonnell-Douglas Corporation, St. Louis, MO

Awards and Honors:

Professional Affiliations and Certifications:

Publications:

Streicher, J.J., W.C. Culverhouse Jr., M.S. Dulberg, and R.J. FornaroModeling the Anatomical Distribution of Sunlight, Photochemistry and Photobiology 79 (1) 2004.

Streicher, J.J., and K. Endres.Modeling Assessment of the Biological and Economic Impact of Increased UV Radiation on Loblolly Pine in the Middle Atlantic States. in Managing for Healthy Ecosystems, Ed. Rapport, Lasley, and Rolston. Lewis Publishers, 2003.

Estupinan, J.G., S. Raman, G.H. Crescenti, J.J. Streicher, and W.F. Barnard. Effects of Clouds and Haze on UV-B Radiation. Journal of Geophysical Research, 101 (D11) 1996.

Lunetta, Ross S., J.F. Knight, H.W. Paerl, J.J. Streicher, B.L. Peierls, T. Gallo, J.G. Lyon, T.H. Mace, C.P. Bozzelli. Measurement of Case II water color using AVIRIS Imagery in Pamlico Sound , North Carolina, USA Accepted by International Journal of Remote Sensing, 2008.
 
Narrative:
My area of expertise is developing models of solar irradiance, and integrating those models into applied problems in photobiology and photochemistry. My current photochemistry application is in the development of a comprehensive radiance model that will be used to calculate spectral actinic flux in the Community Multiscale Air Quality (CMAQ) modeling system. The radiance model will incorporate atmospheric, geodesic, and physiographic independent variables. Recent photobiology applications have integrated radiative transfer models with 3‑D graphic models of the human form to develop a comprehensive source-to-dose software platform to study the relationship of solar irradiance to skin cancers, cataract induction, and UV-induced immunosuppression. Photobiology applications with an ecological theme have included remote sensing image processing (also known as “atmospheric correction”) of upwelling radiance to derive surface reflectance, which is used for surface materials identification.

Atmospheric Modeling

Research & Development | National Exposure Research Laboratory


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