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<br />Two Automatic Environmental Surface Observation Platforms (AESOP's) <br />were tested on the SCPP during the past winter, see figure 4. The <br />AESOP's collect data on precipitation, wind speed, wind direction, <br />temperature, humidity, and pressure and transmit it hourly via the <br />GOES satellite and an interconnected link of computers to the project <br />personnel in less than 15 minutes. The favorable comparisons made <br />this winter with existing data collection systems at Blue Canyon and <br />the Central Sierra Snow Laboratory have provided the basis for <br />increasing the system to three sites and placing them in remote <br />locations next winter. The AESOP's are an improvement over the <br />ERTS/LANDSAT platforms used in the San Juans, since the frequency of <br />data availability is better suited to project operations. <br /> <br />V. Conclusions <br /> <br />~ <br /> <br />{, <br /> <br />The measurement of preci pitati on and especi ally snowfall conti nues <br />to be a developing technology. Continued research and innovation <br />are required to provide reliable, high resolution, spatial and <br />temporal data. The best data possible are essential to both the <br />operation and evaluation of weather modification projects. Project <br />Skywater has made a contribution to the progress and will continue <br />to support promising efforts. <br /> <br />The recording precipitation gage is a basic evaluaticln tool for <br />discriminating the changes in precipitation during a randomized <br />seeding program. Acceptance by the public of change$ in precipita- <br />tion resulting from cloud seeding is strongly dependl:!nt on physical <br />measurements of either precipjtation or runoff. <br /> <br />Although radar can provide an estimation of precipitcltion over a <br />large area, the magnitudes of the radar estimates ha',e not been <br />shown to be accurate enough to provide the sole means for evaluation <br />of seeding experiments. It is believed that a combination of radar <br />and precipitation gages may provide the best estimatl:!s. <br /> <br />The ability to relay data has taken enormous strides in recent <br />years. Innovations such as circuit boards, miniaturiized computers, <br />microprocessors, and satellites have pushed the qualiity of data <br />transmission ahead at a faster rate than the quality of data <br />measurements. <br /> <br />.~ <br /> <br />With the most careful application of the methods and equipment <br />available today, it is possible to obtain useful precipitation data <br />for the operation and evaluation of randomized cloud seeding programs. <br />However, the rewards for further development and improvement are <br />great, and everyone with an interest in the field should support the <br />research and development necessary to real ize those ,"ewards. <br /> <br />8 <br />