Closed bpbond closed 8 years ago
CH4 tracks - more variability.
Initial (10- to 20-second) rate of CO2 rise, by core and rep.
qplot(ELAPSED_TIME/60/60/24, m_CO2, data=summarydata, geom="line", group=DWP_core, color=Source)
+ facet_wrap(~Rep)
+ ylab("Slope of initial CO2 rise (ppm/s)")
+ xlab("Elapsed time (days)")
Taking first 20 seconds, computing slope based on 0-10 and 10-20 means. CO2 shows pretty steady patterns over time; different by depth; and blanks and ambient hover around zero, which is good. CH4 is extremely bursty. In rep D, the blank 'bursts', which is not good, but on the other hand ambient stays close to zero.
Very old issue. This has been dealt with by computing flux rates based only on that initial rise in concentration.
From my email to SF and VB: