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Atlantic Multi - Decadal Oscillation (AMO): This index is similar in nature to that of <br />the PDO in that it is a large -scale departure of SST across the northern and southern <br />Atlantic Oceans. Recent research has touched upon large -scale departures of <br />precipitation anomalies in various `phases' of the AMO merged with the PDO. Thus, this <br />is one variable that will be included. <br />Preliminary Results <br />The summary of the results will be focused on a basin -by -basin basis as outlined in the <br />Introduction section. For each Water Division and in the applicable area, the District - <br />level findings will first present the basin - average precipitation correlations for the various <br />seasonal periods (December- March, April -June and July- September precipitation <br />periods) the seasonal temperature correlations (performed on a Division -wise basis) and <br />the correlations with seasonal (April- September) runoff followed by the multi -year (2- <br />year) relationships. <br />In the Colorado /Yampa -White River basins, the division of the basins was not <br />done specifically at the District level but were `naturally' divided by sub - basins <br />according to geography and acted as a natural starting point for these analyses. The <br />determination of which sub - basins would be analyzed was determined through a <br />combination of coordination with professionals who are knowledgeable of water supply <br />systems and operations in these areas. <br />User Gnide <br />All of the data and relationships described in this report are intended to provide a <br />preliminary insight to the various climatological basin responses to various components <br />of the hydrological cycle. All of the relationship data is presented in tabular and <br />graphical format in an attached Appendix on compact disk and organized according to <br />the structure of this report. It is important for any potential reader and user of the data to <br />recognize a few key points: <br />1) The relationship between these climate indices and the predicted value is far from <br />an r- squared of 1.0. Climate prediction and the science of climate have had many <br />breakthroughs in the past decade or so but, there are still likely many <br />breakthroughs to accomplish. <br />2) Not all variables and seasons will contain usable information as the climate <br />indices have not provided enough definition of our atmospheric and oceanic <br />systems. In some instances the user may glean useful information from an <br />individual index /variable relationship or from the skillful combination of indices. <br />3) Users are recommended to visually examine the charts of some relationships <br />plotted in the accompanying Appendix, the r or r- squared in some instances may <br />be small but when `partitioned' properly can be of some or increased usefulness. <br />0 <br />