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<br />'. Braham: . Field Experimentation in Weather Modification
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<br />of obtaining an understanding of the meteorological
<br />pr6Clesses for a [proper interpretation of any seeding
<br />effeCts iWl:!'mightuncover. I feel strongly that this was,
<br />and still is, the best approach for establishing the facts
<br />about weather modification. As a corollary, I am some-
<br />what less than pleased when I see conclusions drawn from
<br />the Whitetop rainfall or radar data in isolation from the
<br />other parts of this experiment.
<br />In the design phase, arrangements were worked out
<br />whereby Professor Wayne Decker, University of Mis-
<br />souri, would reduce the rain gage data and carry out the
<br />initial analyses of it totally independently of the Uni-
<br />versity of Chicago. Under our arrangement with NSF
<br />and Professor Decker, he was not informed of which days
<br />were seeded until the rain gage data reduction had been
<br />completed and plume and nonplume averages computed
<br />and tabulated. We furnished Professor Decker with pibal
<br />data and assisted with the plume charts which he used in
<br />his data reduction. He reported data for both the percent
<br />of gage-hours with rain and the area average rain, for
<br />both plume and nonplume, beginning with the first year's
<br />operations. Professor Decker also carried out a limited
<br />analysis of these data. At Chicago the initial efforts were
<br />on analyzing the cloud measurements. Near the end of the
<br />field operations, we began serious analysis efforts on the
<br />rain and radar data" culminating in the monograph by
<br />Flueck (1971).
<br />Another activity that went on during the project
<br />design phase resulted in the so-called selection criteria.
<br />The most desirable subjects for our study were afternoon
<br />and early evening convective clouds, which have a
<br />climatological maximum frequency between about 11
<br />A.M. and 6 P.M. and which account for a substantial
<br />traction of the area rain. Because these clouds are rela-
<br />tively numerous and dynamically coupled to the surface
<br />and lower levels of the atmosphere, we reasoned that our
<br />chances of inducj.Ilg and detecting seeding effects in them
<br />~ere much better than in the .much larger nocturnal
<br />squall-line storms. The latter are associated with large-
<br />scale, dynamical structures that often begin in the high
<br />plains during' late afternoon and sweep across the plains
<br />at night to arrive in Missouri after midnight. Accordingly,
<br />we concentrated our efforts on the afternoon and evening
<br />clouds. But we needed some device to help select days
<br />for the experiment, because only about half of all summer
<br />days could be expected to have, somewhere in our re-
<br />search circle, supercooled con\tectiVe clouds capable of
<br />responding to our seeding materials. Limited resources
<br />and a desire to reduce the number of "zeros" in the data
<br />precluded extending the experiment to all summer days.
<br />After testing several simple "prediction" schemes on data
<br />for three prior summers from Springfield, Missouri, we
<br />selected one which led to our selection criteria (Braham
<br />1960, 1966). Our plan was to use these criteria for select-
<br />ing operational (experimental) days. Once we were in the
<br />field, we encountered situations requiring occasional de-
<br />viations from the criteria. These deviations have already
<br />been reported in the form of criteria values for all days
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<br />and an indication of which days were actually used in
<br />the experiment. In every case, the r:~ndomization decision
<br />was made after all other decisions regarding selection of
<br />days, selection of the location of possible seeding, etc.,
<br />had been made.
<br />Thus the purpose of the criteria was to help in selecting
<br />days which would have clouds capable of responding to
<br />sibrer iodide. It is a mistake to aS80ciate any particular
<br />seeding hypotheBis with days which met, or did not meet,
<br />these criteria.
<br />I am very plen.sed that so many of the discussants ad-
<br />dress one or more of the issues with which I closed my
<br />article. These discussions may prove to be as important
<br />as the article itself in that they reveal an increasing
<br />amount and diversity of interest among statisticians in
<br />meteorological issues. I think this E:ignals an opportunity
<br />for progress in weather modification.
<br />lOne of these issues relates to nonrandomized experi-
<br />ments, and in particular to those carried out by com-
<br />mercial cloud seeders. In general, it is clear that there are
<br />types of inquiries where randomized experiments are
<br />difficult or impossible, and where remarkable progress
<br />has been made without them. (Consider the areas of
<br />geology and astronomy.) But in cloud seeding, we agree
<br />thl~t randomization is highly desirable. The reason given
<br />by commercial operators for nonr,andomized operations
<br />is that their customers object to giving up many (perhaps
<br />half) of the opportunities for receiving the benefits they
<br />believe to come from cloud seeding. I thank Professors'
<br />Flueck and Mosteller for setting forth several of the
<br />cautions and conditions to be observed in working with
<br />nonrandomized data.
<br />In the time that has elapsed between preparation of my
<br />paper for the Chicago meeting of ASA and preparation
<br />of this response, the two-volume final report of the
<br />Weather Modification Advisory Board has been issued.
<br />(I had the honor of serving on that Board with 16 other
<br />persons, mostly nonmeteorologists.) This Board was ap-
<br />pointed by Dr. Juanita Kreps, Secretary of Commerce,
<br />in response to Public Law PL94-490, in which the
<br />Congress asked the Secretary to undertake a thorough
<br />re'new of weather modification, assess its current status,
<br />and recommend public policy for it. The first volume of
<br />the report discusses the subject in much more detail than
<br />I was able to do in my article, including societal, environ-
<br />mental, legal, and institutional and governmental factors.
<br />The second volume was prepared for the Board by three
<br />sULtisticians: David R. Brillinger, Lyle V. Jones, and
<br />John W. Tukey; it deals exclusively with statistical issues
<br />relating to wea.ther modification experimentation and
<br />gives a statistical critique of nine recent seeding projects.
<br />I recommend both volumes for further information and
<br />dil>cussion of many of the issues raised in my article and
<br />in these discussions.
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<br />Responses to Individual Discussants:
<br />
<br />Cook-Holschuh: I agree with the view that meteorol-
<br />ogists must develop an ability to Plredict additive subsets
<br />,
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