Laserfiche WebLink
<br />608 WEATHER MODIFICATION <br /> <br />Committee statisticians applied a gamma trans- <br />formation to normalize the data, and then estab- <br />lished a linear regression relationship between <br />the transformed target and control precipitation <br />amounts for the historical period. Then the con- <br />trol station precipitation during a seeded storm <br />was entered into the regression equation to esti- <br />mate what the target station precipitation would <br />have been in the absence of seeding, and the <br />result was compared to the observed target sta- <br />tion precipitation. <br />On the basis of a study of 299 seeded storms, <br />which occurred over several seasons in different <br />projects in the Western United States, the Advi- <br />sory Committee reported in 1957 apparent in- <br />creases in precipitation of 9 to 17% over the <br />amount that would have fallen without seeding. <br />The Advisory Committee also stated that there <br />was only a very small probability that the appar- <br />ent increases were due to chance. Although the <br />Advisory Committee's report was criticized on <br />various grounds, including the possibility of nat- <br />ural changes in target-control relationships, its <br />findings have been supported by later review <br />panels. <br />It is difficult to translate indications ofprecipi- <br />tation increases at individual gauges into esti- <br />mates of additional runoff from an entire water- <br />shed. The runoff from a watershed is not a linear <br />function of the precipitation falling on it. Precip- <br />itation gauges are sometimes sparse and tend to <br />be located in accessible areas at relatively low <br />elevations. In addition, accurate measurement <br />of snowfall, especially under windy conditions, <br />is extremely difficult. An approach that over- <br />comes some of these difficulties is to base the <br />evaluation on snow course data or, better yet, <br />on the streamflow data themselves. The histori- <br />cal regression approach is applicable to runoff <br />data. Care must be exercised to check on possi- <br />ble relocations of stream gauging stations and <br />changes in the behavior of a watershed due to, <br />for example, clearing of a forest. <br />The correlation between runoff amounts for <br />adjoining watersheds depends on watershed <br />characteristics. On the west side of the Sierra <br />Nevada in California, rocky watersheds allow <br />relatively little percolation of water into the soil <br />and evapotranspiration is slow. Most of the pre- <br />cipitation that falls becomes streamflow, either <br />immediately or as melted snowpack. Correlation <br />coefficients relating annual runoff from adjoin- <br />ing watersheds run as high as 0.9, and multiple <br />correlation coefficients as high as 0.97. The <br />close correlation permits the historical regres- <br />sion method to be applied with considerable <br /> <br />confidence. Analyses by a number of authors <br />have indicated increases in seasonal runoff in <br />rivers draining mountains in the western United <br />States, generally ranging between 5 and 15% of <br />the natural runoff. <br /> <br />C. RESEARCH ON SEEDING EFFECTS ON WINTER <br />OROGRAPHIC CLOUDS <br /> <br />A number of field experiments, some of them <br />involving randomized seeding trials, have been <br />carried out to refine estimates of the effects of <br />cloud seeding on orographic precipitation and to <br />determine those conditions most conducive to <br />precipitation increases by seeding. The largest <br />such project currently in existence is the Sierra <br />Cooperative Pilot Project (SCPP), which is con- <br />ducted by the U.S. Bureau of Reclamation and <br />cooperating agencies in the American River Ba- <br />sin in northern California. <br />Investigations of seeding effects in orographic <br />clouds have centered around the concept of <br />seedability. It is generally agreed that seedabil- <br />ity is associated with the presence of super- <br />cooled liquid water, although the presence of <br />supercooled liquid water does not guarantee the <br />existence of seedability. Searches for super- <br />cooled liquid water have been carried out with <br />new instruments including dual channel micro- <br />wave radiometers and aircraft equipped with op- <br />tical probes for counting, sizing, and classifying <br />cloud and precipitation particles. The research <br />on winter orographic cloud seeding has also in- <br />volved numerical modeling studies conducted <br />on large computers to simulate the trajectories <br />of snowflakes produced by both natural and arti- <br />ficial ice nuclei. <br />Present indications are that supercooled liquid <br />water is most likely to be associated either with <br />shallow stratiform clouds with tops in the - 5 to <br />-120C region or with moderate updrafts associ- <br />ated with embedded convective elements in the <br />general overcast. In maritime clouds, which are <br />often observed on SCPP, surprisingly high ice <br />crystal concentrations are observed on occa- <br />sion, for example, la-50 per liter at a tempera- <br />ture of -SOC. These concentrations, which <br />greatly exceed the measured concentrations of <br />natural ice nuclei, are attributed to a variety of <br />secondary ice crystal production mechanisms. <br />Some of the postulated secondary ice crystal <br />production mechanisms require the presence of <br />large cloud droplets, which are characteristic of <br />maritime clouds. In inland regions, such as Col- <br />orado, secondary ice is less commonly ob- <br />