Table S4.

Linear regression results between annual metrics of DA events (y values, rows) and log10 (annual maximum DA values) (x value)

x = log10(annual DA maximum)
Independent variablesStates includedr2 (P value)N
y1 = Model value coincident with annual maximumWA & OR0.38 (P < 0.0053)19
CA0.26 (P < 0.012)23
WA, OR, & CA0.28 (P < 0.00027)42
y2 = Annual maximum value of risk modelWA & OR0.30 (P < 0.0023)28
CA0.35 (P < 0.0018)25
WA, OR, & CA0.28 (P < 0.000011)53
y3 = March PDO + ONIWA & OR0.31 (P < 0.0013)30
CA0.33 (P < 0.0029)25
WA, OR & CA0.27 (P < 0.000042)55
  • Data reported by state groupings (column 2) according to r2 and P values (column 3) and number of data points (column 4). All values are significant at a 99% confidence interval or better.