IEEE Geoscience and Remote Sensing Magazine - June 2014 - 97

Acknowledgments
The author would like to acknowledge contributions from
the following AER staff members: C. Borden, J. Cohen, J.
Galantowicz, J. Holdzkom, M. Iacono, S. Lowe, E. Mlawer,
J. Moncet, R. Morris, T. Nehrkorn, K. Pfeiffer, R. Ponte, R.
Quinn, H. Snell, and S. Zaccheo. Special thanks to R. Morris for his outstanding guidance.
Author informAtion
Ron Isaacs is president of the award-winning Atmospheric and
Environmental Research (AER). He oversees business strategy,
technical direction and operations for AER's weather-, climate-,
and environment-related programs for government agencies
and commercial customers. With thirty-five years of experience
in major weather and remote sensing programs, Mr. Isaacs has
played a key role in growing AER to more than 150 scientists
and software engineers with the objective of leveraging the latest science research and analytics to improve practical operational
results. AER's technical groups provide specialized approaches to
modeling, sensing, and prediction of phenomena in the atmosphere, ocean, and space. AER radiative transfer software is now
operational worldwide in many operational numerical weather
prediction centers. Its remote sensing algorithms have contributed
to the successful utilization of data from the DMSP, Suomi NPP,
EOS, and other spacecraft as well as the theoretical basis of the Air
Force Weather Agency CDFS II operational global cloud system.
Mr. Isaacs has contributed to these efforts and is the author of
numerous technical reports and refereed scientific journal articles.
He is a member of the Tau Beta Pi Engineering Honor Society, the
American Meteorological Society (AMS) and a senior member of
the IEEE Geoscience and Remote Sensing Society. He holds ME
and MS degrees from Harvard University and a BS from the Stevens Institute of Technology. He is a veteran of the U.S. Air Force.
references
[1] S. A. Clough, M. J. Iacono, and J.-L. Moncet, "Line-by-line calculation
of atmospheric fluxes and cooling rates: Application to water vapor," J. Geophys. Res., vol. 97, no. D14, pp. 15761-15785, Sept. 1992.
[2] E. J. Mlawer, S. J. Taubman, P. D. Brown, M. J. Iacono, and S. A.
Clough, "Radiative transfer for inhomogeneous atmospheres:
RRTM, a validated correlated-k model for the longwave," J. Geophys. Res., vol. 102, no. D14, pp. 16,663-16,682, July 1997.
[3] M. J. Iacono, J. S. Delamere, E. J. Mlawer, M. W. Shephard, S.
A. Clough, and W. D. Collins, "Radiative forcing by long-lived
greenhouse gases: Calculations with the AER radiative transfer
models," J. Geophys. Res., vol. 113, no. D13, 2008.
[4] J.-J. Morcrette, H. W. Barker, J. N. S. Cole, M. J. Iacono, and R. Pincus, "Impact of a new radiation package, McRad, in the ECMWF
integrated forecast system," Mon. Wea. Rev., vol. 136, no. 12, pp.
4773-4798, July 2008.
[5] J.-L. Moncet, G. Uymin, A. E. Lipton, and H. E. Snell, "Infrared
radiance modeling by optimal spectral sampling," J. Atmos. Sci.,
vol. 65, no. 12, pp. 3917-3934, Dec. 2008.
[6] J.-L. Moncet, G. Uymin, A. E. Lipton, and P. Liang, "Application
of the OSS generalized concept to modeling of observation from

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hyper-spectral infrared sounders (thermal regime)," J. Atmos.
Sci., 2014, to be published.
[7] A. E. Lipton, J.-L. Moncet, S.-A. Boukabara, G. Uymin, and K. J.
Quinn, "Fast and accurate radiative transfer in the microwave
with optimum spectral sampling," IEEE Trans. Geosci. Remote
Sensing, vol. 47, no. 7, pp. 1909-1917, Jan. 2009.
[8] L. M. McMillin, L. J. Crone, and T. J. Kleespies, "Atmospheric
transmittance of an absorbing gas. 5. Improvements to the OPTRAN approach," Appl. Opt., vol. 34, no. 36, pp. 8396-8399, Dec.
1995.
[9] R. W. Saunders, M. Matricardi, and P. Brunel, "An improved fast
radiative transfer model for assimilation of satellite radiance observations," Quart. J. Royal Meteorol. Soc., vol. 125, no. 556, pp.
1407-1425, Apr. 1999.
[10] J.-L. Moncet, X. Liu, H. Snell, J. Eluszkeiwicz, Y. He, E. Kennelly,
R. Lynch, S.-A. Boukabara, A. Lipton, H. Rieu-Isaacs, G. Uymin,
and S. Zaccheo. (2005). Algorithm theoretical basis document for
the cross-track infrared sounder (CrIS), volume II, environmental data records (EDR), Version 4.2. [Online]. Available: http://
npp.gsfc.nasa.gov/sciencedocuments/2013-01/474-00056_
RevABaseline.pdf
[11] T. Nehrkorn and G. Modica, "WRF module optimization study," in
Proc. Joint WRF/MM5 Users' Workshop, NCAR, Boulder, CO, 2005.
[12] T. Nehrkorn, B. Woods, T. Auligné, and R. N. Hoffman, "Application of feature calibration and alignment to high-resolution
analysis: Examples using observations sensitive to cloud and water vapor," Mon. Wea. Rev., vol. 142, no. 2, pp. 686-702, Feb. 2014.
[13] J. M. Henderson, T. S. Zaccheo, and I. Pytharoulis, "Verification of Hellenic National Meteorological Service high resolution
MM5 forecasts during the 2004 Athens Olympic games," in Proc.
Symp. Nowcasting Very Short Range Forecasting, World Weather Research Program, Toulouse, France, 2005.
[14] J. M. Henderson, T. S. Zaccheo, D. Vandemark, T. Nehrkorn, X.
Papadakis, N. Vinogradova, S. M. Leidner, and M. Sze, "A realtime atmospheric-oceanic-terrestrial diagnostic and prediction
centre: The NOAA-UNH joint center for ocean observing technology," in Proc. 40th CMOS Congr., Canadian Meteorological
Oceanographic Society, Toronto, ON, 2006.
[15] G. D. Modica, S. Lowe, T. Nehrkorn, J. Wensell, J. Baldwin, G.
McMullin, and R. Hoffman, "Typical day meteorological data in
support of ATD modeling," in Proc. 20th Conf. Probability Statistics
Atmospheric Sciences, American Meteorological Society, Boston, MA,
Atlanta, GA, 2010.
[16] R. Brents, S. Lowe, and S. M. Webb, "The environmental data
cube support system: Realistic environmental data, products,
and services in support of the DoD modeling and simulation
enterprise," M&S J., Spring 2011.
[17] D. K. Wilson, C. T. Borden, E. S. Bettencourt, and K. K. Yamamoto, "Characterization of infrared imaging performance within a general statistical framework for environmental impacts on
battlefield signals and sensing," in Proc. SPIE Defense, Security,
Sensing, May 2013, pp. 87520J-87520J.
[18] G. P. Ginet, T. P. O'Brien, S. L. Huston, W. R. Johnston, T. B.
Guild, R. Friedel, C. D. Lindstrom, C. J. Roth, P. Whelan, R. A.
Quinn, D. Madden, S. Morley, and Y.-J. Su, "AE9, AP9 and SPM:

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