One of the purposes of this paper is to develop a high-resolution time series of k.y.-scale events. In the data sets we have collected, we have sufficient high-quality records for 0-140 ka, for which we have high confidence in our age model, to stack the records (four time series for CaCO3; three for Corg) and substantially improve the signal to noise in our records. We will use this "Northern California Stack" to compare with events in the North Atlantic, like the Dansgaard/Oeschger events.
We have stacked both weight percent and MAR data, and we have designated names and ages for peaks in the percentage data based upon our age model (Table 12, Table 13; Fig. 11, Fig. 12). We standardized the data before stacking by subtracting the mean of the time series from each data point and dividing by the standard deviation so that all time series are expressed in units of standard deviation from the mean. We interpolated each of the time series in the stack to an even 0.5-k.y. spacing, then summed each interval and divided by the number of records in that interval.