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<br />APRIL 1984 <br /> <br />MIELKE ET AL. <br /> <br />521 <br /> <br />TABLE 9. Univariate P-values for secondary response variables <br />FCC5 and MAXZ. <br /> <br />P-value <br /> <br />~ <br /> <br />Cloud class Values FCC5 MAXZ <br />A-I Raw data 0.200 0.486 <br />A-I Ranks 0.200 0.657 <br />B Raw data 0.117 0.203 <br />B Ranks 0.159 0.225 <br />A-I and B Raw data 0.653 0.321 <br />A-I and B Ranks 0.660 0.205 <br /> <br />the nonseeded and seeded experimental units for either <br />of these response variables. In fact, none of the sec- <br />ondary response variables indicated any obvious dif- <br />ferences between nonseeded and seeded experimental <br />units. <br />The point estimates and exact one-sided P-values <br />associated with the final test statistics PCP A (based on <br />TIPA), PCPR (based on TIPR), A VRA (based on <br />AER), and A VRC (based on RERC) are given in Table <br />10. Even though some of the seeded to nonseeded <br />rainfall ratios are either extremely small or extremely <br />large, these results may not be important because none <br />of the corresponding P-values (except that for the <br />A VRA rain ratio associated with Class B clouds) is <br />very small and/or the sample sizes are also very small. <br />In addition, the rain ratio for both Class A-I and Class <br />B clouds is dominated by a single case, and II of the <br />17 zero values associated with the average rain amounts <br />determined from RERC are due to default decisions. <br />The corresponding results for A VRC must be inter- <br />preted with these points in mind. The AER univariate <br />P-values (Table 6) and the A VRA P-values (Table 10) <br />suggest an increase in precipitation due to seeding for <br />Class B clouds, even though much of the details of the <br />mechanism in the physical hypothesis and the locations <br />and times of observations are open to question. <br /> <br />5. Discussion and conclusions <br /> <br />The differences found between nonseeded and <br />seeded experimental unit responses during the first 5- <br />min period following the seeding treatment (viz., CIC2, <br />CIC5, and CCR5) were substantial. Thus, a strong <br />inference can be drawn that the HIPLEX-l seeding <br />treatments succeeded in producing ice crystal plumes <br />more rapidly than they would have appeared naturally. <br />The P-values for the multivariate responses in Figs. <br />3 and 4 are roughly monotonically increasing, espe- <br />cially beyond the initial5-min period. This fact suggests <br />that the strong results for the initial 5-min period fol- <br />lowing the treatment are increasingly diluted by the <br />addition of the subsequent responses specified by the <br />physical hypothesis. The experiment was therefore not <br />successful in following the chain of events through the <br />subsequent development of earlier and increased pre- <br />cipitation in the seeded clouds. However, there was <br />some evidence of earlier precipitation in one type of <br />cloud (Class A-I) and of increased precipitation in <br />another type (Class B). <br />It should be emphasized that the sample sizes of <br />this experiment are extremely small (7 Class A-I clouds, <br />13 Class B clouds, and no Class A-2 clouds) due to <br />the premature termination of the experiment. There- <br />fore, it cannot be determined whether the absence of <br />significant differences after the 5-min mark is due to <br />the lack of a seeding effect, inadequacies in the physical <br />hypothesis, or the small sample sizes. Besides the small <br />sample sizes, possible reasons for the lack of significant <br />differences in responses beyond the initial 5-min period <br />include the lack of conditions conducive to further <br />growth of the artificial precipitation embryos. Cooper <br />and Lawson (1984) investigate this possibility. They <br />find that many of the clouds treated had very short <br />lifetimes, which prevented the formation of precipi- <br />tation in them and thus precluded significant statistical <br />results for the post 5-min variables. <br /> <br /> TABLE 10. Point estimates and exact one-sided P-values involving PCPA (based on TIPA), PCPR (based on TIPR), <br /> A VRA (based on AER), and A VRC (based on RERC). <br /> Class A-I and B <br /> Class A-I Clouds Class B Clouds Clouds <br />Measure S NS S NS S NS <br />PCPA Proportion with rain 3/4 1/3 4/8 2/5 7/12 3/8 <br /> Exact P-value 0.371 0.587 0.325 <br />PCPR Proportion with rain 0/4 0/3 2/8 115 2/12 1/8 <br /> Exact P-value 1.00 0.685 0.656 <br />AVRA Average rain (mm km2) 0.077 0.879 1.81 0.067 1.23 0.372 <br /> Ratio (SINS) 0.088 26.9 3.32 <br /> Exact P-value 0.714 0.078 0.237 <br />AVRC Average rain (mm km2) 0.00 0.00 0.480 0.0024 0.320 0.0015 <br /> Ratio (SINS) 200 213 <br /> Exact P-value 1.00 0.359 0.347 <br /> <br />