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<br />It will be shown that this optimization scheme:, based on searching for the minimum summation of <br />absolute difference between radar estimates and surface observations of S, often resulted in reasonable a <br />and p values even when applied to individual measurement sites. As shown in table 3 the scheme always <br />produced reasonable values for grouped surface observations from fairly near the radar with the <br />exception of the southern Minnesota area. Of course, grouping provides greater sample size. The <br />importance of large sample size has been disclLlssed by Krajewski and Smith (1991). Reasons for the <br />failure of Minnesota data to optimize will be discussed. <br /> <br />Pairs of a and p are summarized for the many individual gage or snow board locations in table 2. Snow <br />board observations near Albany were grouped by range because the number of observations were usually <br />limited for individual sites. Frequently only portions of storms were sampled since volunteers made the <br />hourly Sand SD readings, many of whom held jobs. Late night observations were uncommon and most <br />Albany observers did not sample all storms that affected their sampling sites. Still, an excellent data set <br />resulted. In contrast to Albany snow board sampling, all gage and the Denver NWS FO snow board <br />samples (KFTG # 7) were usually available 24 hours per day. A couple of exceptions existed because of <br />gage malfunction (KMPX # 5) or lack of operator availability (KFTG # 6). However, almost all gage <br />operators were very conscientious and gages were reliable with the result that missing data were quite <br />limited. <br /> <br />All Ze values used in the calculations of table 3 and similar results to follow were from the lowest <br />available tilt. That was 0.5 deg with only 4 exceptions. The lowest tilt was blocked for gage KFTG # 5, <br />located on Mt. Evans where the 1.45 deg tilt was used. The lowest useable tilt over the 3 gages on top of <br />the Grand Mesa (KGJX) was 2.4 deg tilt. This finding was a surprise as terrain data suggest the 0.5 deg <br />beam should have been useable over the 2 gag(~s nearest the radar, at 6 and 11 km range, respectively, <br />and the 1.45 beam should have been useable for the gage at 21 km range. However, the radar Ze data <br />from several storms clearly showed almost complete blockage of the lowest tilt and partial blockage of <br />the second lowest tilt along the east-west axis of the Grand Mesa. The radar is located near the Mesa's <br />west edge. Fortunately, the greatest range was only 21 km so the center of the 2.4 deg tilt was not <br />excessively high above the gages (see table 2). However, the vertical separation is believed at least <br />partially responsible for the exceptionally small a values from each gage location. <br /> <br />The authors have previous experience working on the Grand Mesa where snow particle observations <br />were made by low-flying aircraft and on the Mesa top. Differences in snow particle concentration and <br />size were pronounced in this approximately 600 m vertical separation (Super and Boe, 1988), indicating <br />considerable growth in this layer which approximates the 2.4 deg beam separation from the Mesa top. <br />These differences might be expected as considerable water condensate was produced at low levels over <br />the Mesa by forced orographic lifting of the air during storms. <br /> <br />The primary optimization scheme has been used with individual surface observing sites and with <br />combinations of surface sites at similar ranges from the radar. However, the scheme frequently failed to <br />provide a minimum with equation (7) with some data sets within the reasonable p range of 1.2 to 2.6. <br />These data sets were usually of limited S range or had other shortcomings. For example, all the <br />Minneapolis (KMPX) area comparisons failed to reach a CTF minimum within the noted p range. This <br />is believed to be related to the limited range of hourly S accumulations sampled by the gages over the <br />course of an entire winter. Only 5 of the 889 gage-hours with detectable snowfall exceeded 0.100 inch <br />and 4 of the 6 gages never observed an hourly accumulation reaching 0.090 inch. It is difficult to fit an <br />optimized equation when almost all hours of snowfall are very light to light. <br /> <br />23 <br />