Piggyback Weather Experimentation: Superimposing Randomized Treatment Comparisons on Commercial Cloud Seeding Operations

Authors

  • K. R. Gabriel The University of Rochester
  • S. A. Changnon Illinois State Water Survey

DOI:

https://doi.org/10.54782/jwm.v14i1.61

Abstract

There is a conflict between the wishes of farmers to seed all available occasions and those of scientists to randomly exclude some occasions that provide controls for comparison. This paper proposes the compromise of experimenting on differential effects of various treatments such as rates of seeding, seeding materials, place of delivery, etc. Randomized allocation of the alternative treatments could be "piggybacked" on ongoing commercial seeding operations - no occasion would be lost to seeding and yet randomized comparisons would be available. If such piggyback randomization were carefully monitored to avoid biases it should provide additional scientific evidence on seeding effects without reducing the amount of seeding desired by farmers.

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How to Cite

Gabriel, K. R., & Changnon, S. A. (1982). Piggyback Weather Experimentation: Superimposing Randomized Treatment Comparisons on Commercial Cloud Seeding Operations. The Journal of Weather Modification, 14(1), 7–10. https://doi.org/10.54782/jwm.v14i1.61

Issue

Section

Scientific Papers