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<br />IMPLICATIONS FOR THE SKYWATER PROGRAM <br />(W. E. Howell, Division of Atmospheric Water Resources Management) <br /> <br />The results of the Skywater IX Conference remain, at this time, to be better digested before <br />being converted into elements of research programs. The following remarks are therefore <br />preliminary and tentative in nature. <br />The conference has presented conclusions and recommendations on two levels. The first level <br />is that of the direct effects of precipitation management on rain, snow, and snowpack; and the <br />spread of these effects, by processes that are more or less well understood, through the complex <br />webs of life within the ecosystems involved. Here we have our work cut out for us and the road is <br />reasonably clearly marked. The issues on this level are suitable for incorporation more or less <br />directly into the Skywater Program, to be undertaken as priority and opportunity indicate. <br />The universal need, affecting all environmental impact assessments, is for more precise <br />expectation of just what changes precipitation management may bring about in the distribution <br />of precipitation in space and time, and in certain other important parameters of the precipitation <br />such as its duration and intensity. These objectives are inseparable from the main experimental <br />investigations of Project Skywater and do not constitute a separate environmental task. However, <br />a peculiarly environmentally oriented extension of this task may be identified. It is the <br />application of the experimental results to construction of a stochastic climatology describing <br />changes in the magnitude and frequency of occurrence of meteorological events of environmental <br />significance under a regime of precipitation management. The conference results highlighted the <br />importance of finding out whether seeding for snowpack augmentation at high altitudes affects <br />the precipitation at lower altitudes. It also identified the importance of determining the nature <br />and magnitude of offsite changes in precipitation, especially downwind of the primary <br />operational area. <br />In areas of snowpack augmentation, the most important link with the vegetational <br />environment has been pinpointed as the duration of snow cover. This factor has great variability <br />in both space and time, from place to place on a very fine scale, and from time to time on an <br />annual scale. Furthermore, snow cover duration is affected greatly by weather events that occur <br />after the precipitation-management season has ended, especially post-season snowfalls and <br />rainfalls and amounts of cloudiness and wind. It is affected to a lesser extent by in-season <br />weather variables that are independent of precipitation management such as the stratigraphy of <br />the snow resulting from a particular sequence of storm accumulations and redistribution of the <br />snow by wind. It appears feasible to model the melting of snow cover up to the time of its <br />disappearance in terms of mass and energy fluxes, and to verify the model's adequacy by <br />comparison with observations at a few representative sites. It would then be possible to calculate <br />the durations of snow cover, with and without snowpack augmentation, for a wide variety of <br />sites and for a wide variety of stochastically generated snowmelt seasons, thus generating an <br />expectation for the main statistical parameters of snow duration and the dependence of them on <br />snowpack augmentation. <br />. The aspects of vegetational gradients that can be associated directly with gradients in <br />precipitatron amount or snow cover duration are likewise approachable within the Sky water <br />context. The Uinta Ecology Program, begun last year under contract with the Utah Department <br />of Conservation and Natural Resources and Brigham Young University, and the studies being <br />pursued for Skywater by the Pacific Southwest Regional Forest and Range Experiment Station <br /> <br />26 <br /> <br />'i: <br /> <br />! <br />