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.. ~ Instream Temperature Model " "DRAFT " " Page 5 March 27, 1989 Assistant State Climatologist, Colorado State University. He requested the data from the U.S. Department of Commerce, National Oceanic and Atmospheric Administration in Ashville, North Carolina. All microclimate data were recorded from the Grand Junction, Colorado meteorologic station. Stream geometry data were obtained from field observations and USGS topographic maps. PROCEDURES Netwo.r,k D,e_s_c_ript_io_n / The Service developed a river network which included the Green River from Flaming Gorge Dam down to the confluence of the Green River and `..the Colorado River including all mainstem tributaries. These ~~~-'1 tributaries include the Yampa River from the U.S. Geological Survey ~A~ ~, (USGS) gage near Maybell, Colorado to the confluence of the Green ` and Yampa Rivers; the little Snake River from the USGS gage near Lily, Colorado to the confluence of the Yampa and Little Snake ', Rivers; the Duschesne River from the USGS gage near Randlett, Utah '', to the confluence of the Duschesne and Green Rivers; the White River ,'from the USGS gage near Ouray, Utah to t"he confluence of the White .and Green Rivers; the Price-River from the USGS gage at Woodside, Utah to the Price River-Green River confluence; and the-San Rafael River from the USGS gage near Green River to the San Rafael River- `~Green River confluence (Figure 1). The USGS gaging stations within the network were used to describe discharge at all headwaters, reservoir structures, and validation nodes. In addition, discharge is required at branch and junction nodes within the network. Because the temperature model does not route flows, an ancillary program was used to distribute the gage flows throughout the network. Distribution of flows was accomplished using simple mass balance. A similar approach for distributing flows throughout a temperature model network was completed by Guy and Theurer, (1984). The final stream network contained 52 nodes on the Green River and its tributaries (Table 3). Data Reduction Fortran-77 programs were used to convert daily hydrologic and meteorologic data into biweekly averages. The season was limited to March through September to focus on the Squawfish growing season. Bi-weekly averages represent the mean flow or temperature condition for each two-week period. If missing data occurred, the average was based on the available data. If no data were available for the time period, the time period was left blank. The regression model