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  • ANELFA, 1996: Caractéristiques glaçogènes de la nouvelle solution acétonique d’iodure d’argent. ANELFA Brochure 44, 32–33. [Available from ANELFA, 52 rue A. Duméril, 31400 Toulouse, France.].

  • Atlas, D., 1977: The paradox of hail suppression. Science,195, 139–145.

  • Blumenstein, R. R., R. M. Rauber, L. O. Grant, and W. G. Finnegan, 1987: Application of ice nucleation kinetics in orographic clouds. J. Climate Appl. Meteor.,26, 1363–1376.

  • Browning, K. A., 1985: Morphology and classification of middle-latitude thunderstorms. Thunderstorm Morphology and Dynamics, E. Kessler, Ed., University of Oklahoma Press, 133–152.

  • Changnon, S. A., 1971: Hailfall characteristics related to crop damage. J. Appl. Meteor.,10, 270–274.

  • ——, 1977: The scales of hail. J. Appl. Meteor.,16, 626–648.

  • DeMott, P. J., 1988: Comparisons of the behavior of AgI-type ice nucleating aerosols in laboratory-simulated clouds. J. Wea. Mod.,20, 44–50.

  • Dessens, J., 1986a: Hail in southwestern France. I: Hailfall characteristics and hailstorm environment. J. Climate Appl. Meteor.,25, 35–47.

  • ——, 1986b: Hail in southwestern France. II: Results of a 30-year hail prevention project with silver iodide seeding from the ground. J. Climate Appl. Meteor.,25, 48–58.

  • ——, and P. van Dinh, 1990: Frequent Saharan dust outbreaks north of the Pyrenees: A sign of a climatic change? Weather,45, 327–333.

  • ——, and R. Fraile, 1994: Hailstone size distributions in southwestern France. Atmos. Res.,33, 57–73.

  • Essenwanger, O. M., 1986: General Climatology IB. Elements of Statistical Analysis. Elsevier, 424 pp.

  • Farley, R. D., 1987: Numerical modeling of hailstorms and hailstone growth. Part III: Simulation of an Alberta hailstorm—Natural and seeded cases. J. Climate Appl. Meteor.,26, 789–812.

  • ——, H. Chen, H. D. Orville, and M. R. Hjelmfelt, 1996: The numerical simulation of the effects of cloud seeding on hailstorms. Preprints, 13th Conf. on Weather Modification, Atlanta, GA, Amer. Meteor. Soc., 23–30.

  • Federer, B., and Coauthors, 1986: Main results of Grossversuch IV. J. Climate Appl. Meteor.,25, 917–957.

  • Finnegan, W. G., A. B. Long, and R. L. Pitter, 1994: Specific applications of ice nucleus aerosols in weather modification. Preprints, Sixth Conf. on Weather Modification, Paestum, Italy, WMO, 247–250.

  • Foote, G. B., 1984: A study of hail growth utilizing observed storm conditions. J. Climate Appl. Meteor.,23, 84–101.

  • Knight, C. A., G. B. Foote, and P. W. Summers, 1979: Results of a randomized hail suppression experiment in northeast Colorado. Part IX: Overall discussion and summary in the context of physical research. J. Appl. Meteor.,18, 1629–1639.

  • Levin, Z., E. Ganor, and V. Gladstein, 1996: The effects of desert particles coated with sulfate on rain formation in the eastern Mediterranean. J. Appl. Meteor.,35, 1511–1523.

  • Ludlam, F. H., 1980: Clouds and Storms. The Behavior and Effect of Water in the Atmosphere. The Pennsylvania State University Press, 405 pp.

  • Martner, B. E., J. D. Marwitz, and R. A. Kropfli, 1992: Radar observations of transport and diffusion in clouds and precipitation using TRACIR. J. Atmos. Oceanic Technol.,9, 226–241.

  • Mesinger, F., and N. Mesinger, 1992: Has hail suppression in eastern Yugoslavia led to a reduction in the frequency of hail? J. Appl. Meteor.,31, 104–111.

  • Morgan, G. M. Jr., 1988: Observation and measurement of hailfall. Instruments and Techniques for Thunderstorm Observation and Analysis, E. Kessler, Ed., University of Oklahoma Press, 119–135.

  • Robinson, W. D., and R. C. Srivastava, 1982: Calculations of hailstone growth in a sloping steady updraft. Atmos.–Ocean,20, 76–89.

  • Robitaille, F. E., F. D. Barlow, and J. H. Renick, 1986: Cloud seeding with ground generators. Preprints, 10th Conf. on Weather Modification, Arlington, VA, Amer. Meteor. Soc., 104–109.

  • Rosenfeld, D., and R. Nirel, 1996: Seeding effectiveness—The interaction of desert dust and the southern margins of rain cloud systems in Israel. J. Appl. Meteor.,35, 1502–1510.

  • Rudolph, R. C., C. M. Sackiw, and G. T. Riley, 1994: Statistical evaluation of the 1984–88 seeding experiment in northern Greece. J. Wea. Mod.,26, 53–60.

  • Schiesser, H. H., 1990: Hailfall: The relationship between radar measurements and crop damage. Atmos. Res.,25, 559–582.

  • Schmid, P., 1967: On “Grossversuch III,” a randomized hail suppression experiment in Switzerland. Proc. Fifth Berkeley Symp. on Mathematical Statistics and Probability, Berkeley, California, University of California, 141–159.

  • Schmid, W., and A. Waldvogel, 1990: A new parameter scheme for radar contours of hail cells. Atmos. Res.,25, 485–498.

  • Simeonov, P., 1996: An overview of crop hail damage and evaluation of hail suppression efficiency in Bulgaria. J. Appl. Meteor.,35, 1574–1581.

  • Smith, P. L., L. R. Johnson, D. L. Priegnitz, B. A. Boe, and P. W. Mielke Jr., 1997: An exploratory analysis of crop hail insurance data for evidence of cloud seeding effects in North Dakota. J. Appl. Meteor.,36, 463–473.

  • Soulage, G., and P. Admirat, 1968: Limits of efficiency of silver iodide ground burners to seed clouds. Proc. Int. Conf. on Cloud Physics, Toronto, ON, Canada, IAMAP-IUGG, 713–718.

  • Super, A. B., J. T. McPartland, and J. A. Heimbach Jr., 1975: Field observations of the persistence of AgI-NH4I-acetone ice nuclei in daylight. J. Appl. Meteor.,14, 1572–1577.

  • Waldvogel, A., L. Klein, D. J. Musil, and P. L. Smith, 1987: Characteristics of radar-identified big drop zones in Swiss hailstorms. J. Climate Appl. Meteor.,26, 861–877.

  • World Meteorological Organization, 1996: Meeting of experts to review the present status of hail suppression. WMO/TD-764, 39 pp.

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Research Article

A Physical Evaluation of a Hail Suppression Project with Silver Iodide Ground Burners in Southwestern France

Jean DessensLaboratoire d’Aérologie, UMR CNRS, Université de Toulouse, Toulouse, France

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Print Publication:
01 Dec 1998
DOI:
https://doi.org/10.1175/1520-0450(1998)037<1588:APEOAH>2.0.CO;2
Page(s):
1588–1599
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Abstract

The large-scale hail prevention program operated by the Association Nationale d’Etude et de Lutte contre les Fléaux Atmosphériques in southwestern France combines the seeding of hail clouds by a network of silver iodide ground generators with a survey of hailfalls by a network of hailpads. Using the joint data from the two networks, a physical method has been developed to measure the change in hailfall severity in the seeded hailstorms. The method associates the number of hailstones larger than 0.7 cm in a point hailfall at the ground (the “hailstone number”) to the amount of seeding material released in the area where the storm was developing just before hailstone growth. The fundamental but not proven hypothesis employed is that a simple negative correlation should exist between the two parameters. During the years 1988–95, 630 point hailfalls were recorded on 53 hail days with seeding. The method indicates that the hailstone number is basically responsive to the amount of seeding material released 80 min before the time of the point hailfall in a 13-km radius area centered on the place where the storm was developing. The decrease in the hailstone number is in linear relation with the seeding amount—the more heavily seeded hailfalls decrease by 42%. The results are based on significant but weak correlations that have to be strengthened with a larger sample of hailfalls. However, they agree with former evaluations by insurance data of the same hail prevention program. The method gives a model that can be used to arrange the generator networks according to the movement of the storms.

Corresponding author address: Dr. Jean Dessens, Laboratoire d’Aérologie, UMR CNRS/UPS 5560, 8, Route de Lannemezan, 65300 Campistrous, France.

desj@aero.obs-mip.fr

Abstract

The large-scale hail prevention program operated by the Association Nationale d’Etude et de Lutte contre les Fléaux Atmosphériques in southwestern France combines the seeding of hail clouds by a network of silver iodide ground generators with a survey of hailfalls by a network of hailpads. Using the joint data from the two networks, a physical method has been developed to measure the change in hailfall severity in the seeded hailstorms. The method associates the number of hailstones larger than 0.7 cm in a point hailfall at the ground (the “hailstone number”) to the amount of seeding material released in the area where the storm was developing just before hailstone growth. The fundamental but not proven hypothesis employed is that a simple negative correlation should exist between the two parameters. During the years 1988–95, 630 point hailfalls were recorded on 53 hail days with seeding. The method indicates that the hailstone number is basically responsive to the amount of seeding material released 80 min before the time of the point hailfall in a 13-km radius area centered on the place where the storm was developing. The decrease in the hailstone number is in linear relation with the seeding amount—the more heavily seeded hailfalls decrease by 42%. The results are based on significant but weak correlations that have to be strengthened with a larger sample of hailfalls. However, they agree with former evaluations by insurance data of the same hail prevention program. The method gives a model that can be used to arrange the generator networks according to the movement of the storms.

Corresponding author address: Dr. Jean Dessens, Laboratoire d’Aérologie, UMR CNRS/UPS 5560, 8, Route de Lannemezan, 65300 Campistrous, France.

desj@aero.obs-mip.fr

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