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Last modified
7/28/2009 2:40:42 PM
Creation date
4/24/2008 2:54:39 PM
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Template:
Weather Modification
Project Name
High Plains Cooperative Program
Title
On the Sampling Variance of Raingage Networks
Weather Modification - Doc Type
Report
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<br />Table 5. - Percentage contribution of total sample size to detect <br />a 25-percent change in mean Montana storm preci pi tat i on due to <br />sampling variance as a function of gage density (based on both <br />the median area of all raincells, AI, and the median area of <br />the primary raincells, A2) <br /> <br />GPR <br /> <br />Gage density <br />(km2/gage) <br /> <br />Percentage contribution <br />by sampling variance <br /> <br />Al <br /> <br />A2 <br /> <br />100 <br />50 <br />10 <br />5 <br />2 <br />1 <br />0.5 <br /> <br />0.9 <br />1.8 <br />9.0 <br />18.0 <br />45.0 <br />90.0 <br />180.0 <br /> <br />1..6 <br />3..2 <br />16..0 <br />32..0 <br />80..0 <br />160..0 <br />320..0 <br /> <br />0.05 <br />0.05 <br />0.5 <br />1.9 <br />9.9 <br />26.9 <br />50.7 <br /> <br />Vi ewed in thi s manner it is cl ear that the natural vari abil ity of convective <br /> <br />precipitation is mainly responsible for the large sample size requirements in <br />evaluating the hypothetical precipitation augmentation experiment. The <br />sampling variance component is \~esponsible for less than 10 percent of the <br />total sample size requirement with a gage density of at least two per raincell <br />(an average of four per storm) and less than 27 percent with a gagE~ density <br />of only one per raincell (an average of two per storm). Based on the observed <br />raincell areas and their contribution to the storm's total rainfalll, this <br />corresponds to moderately dense raingage networks of 45 to 80 km 2 per gage <br />and 90 to 160 km 2 per gage, respectively. In view of the large natural <br /> <br />variability, there does not appE!ar to be any advantage in using hi~,her <br />density gage networks. The main thrust should, for the present, bE! in the <br />direction of reducing the natured variability by physically meanin~lful <br />stratHications according to prE!dictor variables and covariates. It should, <br /> <br />however, be noted that as the efforts to reduce the natural vari abil ity <br />succeed, the importance of the sampling variance will increase and higher <br /> <br />22 <br />
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