Dataset: Supplementary data: California Current winter climate reconstruction from tree-ring data, 1429-2010 (California Current upwelling modes project)

A nested bootstrapping approach (n=10,000 iterations) was repeated at each change in sample depth (3 to 16).  For each iteration, chronologies were randomly selected with replacement and averaged into a composite chronology. Calendar years shared with CCwinter physical data (1948-2003) were randomly sampled with replacement and the CCwinter reconstruction was predicted using a rise-to-maximum function: CCwinter_recon = a*(1-exp(-b*oak composite chronology)).  The 14 ensemble medians were spliced together to form the final nested reconstruction.  The ensemble median (the reconstruction) is labeled P50; also shown are the 1st, 5th, 10th, 20th, 30th, 40th, 60th, 70th, 80th, 90th, 95th, and 99th percentiles.