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<br />Rogers, R., K. Sassen, and G. Dodd, 1988: Comparison of SaJtellite data with surface-based remote sensing
<br />equipment in Utah winter orographic stoons. Preprints, 10th International Cloud Physics Conference,
<br />IAMAP/lUGG, Bad Homberg, F.R.G., August 15-20, 1988. Annalen der Meteorologie, No. 25.
<br />ISBN 3-88148-240-7, 11:659-661.
<br />
<br />No abstract.
<br />
<br />Rose, R. L., J. L. Stith, D. A. Griffith, and P. L. Smith, 1987: Atmospheric resource development and research
<br />in North Dakota. First International Meeting on Agriculture and Weather Modification, Leon, Spain.
<br />University of Leon, Leon, Spain, 263-273.
<br />
<br />No abstract.
<br />
<br />Rose, R. L., and T. C. Jameson, 1986: Evaluation studies of long-teon hail damage reduction programs in
<br />North Dakota. Journal of Weather Modification, 18:17-20.
<br />
<br />An exploratory look at a long-teon seeding program, which is operating in one of the most severe hail
<br />prone regions of the United States, has been conducted. Using hail insurance data, a historical and
<br />target-control analysis attempt has been completed. The changes in loss cost averages wre impressive,
<br />but due to the nature of the variability in hail losses as recorded by insurance data, are 1110t solely
<br />convincing. Subsequent testing by the Mann-Whitney U test shows the disparity of loss equalized
<br />between the target and the east and west control. Th(~ north control, seemingly consistent in its history
<br />of loss over the past third of a century, presents an opportunity for further study. One can only consider
<br />the possibility that the target may be experiencing a climatological increase in hail loss ~U1d the seeding
<br />may be having a far greater effect than measured, or lthe climatology is providing what many think and
<br />believe is a seeding effect. Regardless of the possibilities, it is certain that only detailed physical studies
<br />conducted through well-designed field experiments and supported analyses will unlock the answers to
<br />understanding the questions of hail damage reduction seeding.
<br />
<br />Rose, R. L., T. C. Jameson, and H. L. Johnson, 1986: Assessment of operational hail damage reduction
<br />programs in North Dakota. Preprints, 10th Conference on Planned and Inadvertent Weather
<br />Modification, Arlington, V A, May 27-30, 1986. American Meteorological Society, Boston, MA,
<br />133-136.
<br />
<br />No abstract.
<br />
<br />Sassen, K., and H. Zhao. 1992: Polarization lidar liquid cloud detection algorithm for winter mountain stoons.
<br />Preprints, 16th International Laser Radar Conference, Cambridge, MA, July 20-24, 1992. NASA
<br />Conference Publication 3158. NASA Langley Research Center, Hampton, V A, 357-359.
<br />
<br />No abstract.
<br />
<br />Sassen, K., H. Zhao, and G. C. Dodd, 1992: Simulated polarization diversity lidar returns from water and
<br />precipitating mixed phase clouds. Applied Optics, 31(15):2914-2923.
<br />
<br />The dependence of polarization lidar returns on basic microphysical arid theonodynamic variables is
<br />assessed by using a cloud model to simulate the growth of water and mixed (water and ice) phase
<br />clouds. Cloud contents that evolve with height in updlrafts are converted, by using Mie theory, into
<br />cloud droplet single and double backscattering, and attenuation coefficients. The lidar equation includes
<br />forward multiple scattering attenuation corrections based on diffraction theory for droplets and ice
<br />crystals, whose relative scattering contributions are treated empirically. Lidar depolarization is
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