“…The precipitation is then modelled using the joint density. Feuerverger (1979) used the cloud seeding data of Bethwaite et al (1966). Chandler and Wheater (2002) used a gamma-based generalized linear model.…”
Many statistical models exist for modelling precipitation. One difficulty is that two issues need to be addressed: the probability of precipitation occurring, and then the quantity of precipitation recorded. This paper considers a family of distributions for modelling the quantity of precipitation, including those observations in which exactly no precipitation is recorded. Two examples are then discussed showing the distributions model the precipitation patterns well.
“…The precipitation is then modelled using the joint density. Feuerverger (1979) used the cloud seeding data of Bethwaite et al (1966). Chandler and Wheater (2002) used a gamma-based generalized linear model.…”
Many statistical models exist for modelling precipitation. One difficulty is that two issues need to be addressed: the probability of precipitation occurring, and then the quantity of precipitation recorded. This paper considers a family of distributions for modelling the quantity of precipitation, including those observations in which exactly no precipitation is recorded. Two examples are then discussed showing the distributions model the precipitation patterns well.
“…This approach has been eminently successful in some areas-in Australia (18), for example-and there may be situations in which it is the only relevant approach to cloud seeding. The point for emphasis is that basic research must precede any seeding effort, whether it be static or dynamic, to determine which seeding approach, if any, is germane to producing the desired effect.…”
Section: Interpretation Of Seeding Resultsmentioning
In summary, the following points are made: 1) There are essentially two approaches to seeding for rain inducement, static and dynamic. 2) The dynamic approach is effective in inducing growth and increasing precipitation from individually seeded convective clouds under specifiable conditions. 3) The static approach to seeding for precipitation increases is apparently not relevant to the summer cumuli of Florida and Missouri. 4) Regional seeding climatologies, including studies of natural freezing processes in convective clouds, should be completed before commencement of a seeding operation. 5) The results of a seeding operation are frequently better understood by stratification of the data, especially with respect to weather conditions. Precipitation increases from seeding are usually found under fair weather regimes with isolated showers, whereas decreases are often noted under naturally rainy conditions.
“…Early studies stated that the rainfall increments in a cumulus cloud varied from 5% to 30 % (Bethwaite et al, 1966). Research type cloud seeding operations have been conducted in many countries for the last 50 years with the hope to augment water resources in a watershed.…”
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