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L <br />Pi <br />Precipitation <br />Forest Service staff assisted us by superimposing the Oregon State <br />University Climate Center Precipitation Map for Colorado and Wyoming on <br />the DEM's for the respective Forests to estimate mean annual precipitation <br />as a function of elevation for the polygons. Mean monthly precipitation data <br />for a number of precipitation gauges in Colorado and Wyoming, were then <br />used by us to estimate the percentage of annual precipitation occurring in <br />each month, as a function of elevation (table 1). As a general observation, <br />the amount of annual precipitation increases with elevation (about 20 <br />percent increase per 1000 ft rise in elevation) while the percent of the annual <br />precipitation (storms) that occurs in the summer months increases with <br />decreasing elevation (table 1). <br />The percent of annual precipitation occurring in each month, table 1 was <br />used to partition the estimates of annual precipitation, generated by the U.S. <br />Forest Service from the GIS layers, into monthly values, for each of the <br />elevation zones. Estimates of monthly precipitation are the required input <br />for the electronic version of the WRENSS hydrologic model we used. <br />However, the monthly values are in turn aggregated to the seasonal values <br />stipulated as input in the original WRENSS procedure (Troendle and Leaf <br />1980). <br />Table 1. Percent of annual precipitation occurring in each month by <br />elevation zone. <br />Elevation Jan Feb . Mar Apr May Jun Jul Aug Sep Oct Nov Dec <br />500 0.041 0.035 0.071 0.111 0.194 0.140 0.103 0.068 0.074 0.074 0.048 0.039 <br />600 0.045 0.053 0.077 0.119 0.170 0.124 0.098 0.073 0.073 0.078 0.064 0.048 <br />700 0.056 0.050 0.081 0.106 0.142 0.106 0.112 0.083 0.073 0.080 0.065 0.053 <br />800 0.092 0.071 0.098 0.107 0.100 0.072 0.073 0.064 0.070 0.069 0.088 0.098 <br />900 0.104 0.089 0.107 0.106 0.092 0.058 0.056 0.057 0.060 0.068 0.098 0.106 <br />1000 0.105 0.093 0.110 0.123 0.103 0.054 0.052 0.046 0.058 0.070 0.092 0.097 <br />*1100 0.105 0.093 0.110 0.123 0.103 0.054 0.052 0.046 0.058 0.070 0.092 0.097 <br />*1200 0.105 0.093 0.110 0.123 0.103 0.054 0.052 0.046 0.058 0.070 0.092 0.097 <br />*For observations over 11,000' use 10,000' values. <br />e <br />26 <br />