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<br />10.2.1. Summarize historic streamflow, temperature and precipitation data availability on the <br />western slope. Using the CRDSS database, tabulate the number of stations, their <br />period of record, and percent complete by model area (Yampa, White, Colorado, <br />Gunnison, San luan/Dolores). Identify stations with significant record that may not <br />be included in the existing Phase IlIa Water Resource Planning Models. <br /> <br />10.2.2. Recommend up to 2 period of records which might be used consistently for each of <br />the CRDSS planning models. Discuss and contrast the advantages and disadvantages <br />of each by basin and for the entire western slope. <br /> <br />10.2.3. Recommend a regression technique or model to fill or generate missing historic <br />streamflow, temperature and precipitation records. <br /> <br />10.2.4. Recommend a regression technique or model to fill or generate missing diversion <br />records. <br /> <br />10.2.5. Recommend a regression technique or model to fill or generate demands. <br /> <br />10.2.6. Prepare a draft memorandum describing the results of this subtask. The <br />memorandum is expected to contain approximately 5 - 10 pages of text. <br /> <br />10.2.7. Incorporate State comments into a final memorandum. <br /> <br />10.3. Evaluate the Development of Stochastic Data Current stochastic models which are <br />reasonably available will be reviewed to determine which might be employed to meet the <br />requirements of the CRDSS Water Resource Planning Model. This subtask would include <br />the following: <br /> <br />10.3.1. Using information developed in previous Tasks, characterize stochastic data <br />development and use (research, reliability assessment, etc.) for its applicability to a <br />multi-basin system such as CRDSS. Federal agencies will be contacted which have <br />stochastic model systems such as the U.S. Bureau of Reclamation (SAMS), U.S. <br />Army Corps of Engineers, etc. Also, universities that are doing research in <br />stochastic models will be contacted such as Cornell (SPIGOT) and Colorado State <br />University. Most likely, an existing, aggregated-type model will be used that will <br />develop stochastic sequences that consider the total volume of available water. Then <br />disaggregation techniques will be employed to develop flows for each gaging site or <br />input point for CRDSS. However, other approaches investigated may emerge as <br />better meeting the needs for the system.' <br /> <br />10.3.2. Summarize methods used to characterize and present planning model results with <br />stochastic data input. <br /> <br />10.3.3. Identify model hardware requirements. <br /> <br />10.3.4. Recommend a model or technique for potential use by CRDSS. Special <br />consideration will be given to generating streamflows for a multi-basin system such <br />as CRDSS. In addition, the trade off associated with generating climatological data <br />or estimating demands via a wet, dry or average runoff year will be considered. The <br />advantages and disadvantages of each model or technique will be discussed and <br />contrasted. <br /> <br />C:\w\crdss\scope\boy IIIb\crdss3 .doc <br /> <br />0343 <br /> <br />5/30/97 - Page 14 <br />