O2NCP.mean | R Documentation |
calculate net community production based on O2 observations.
O2NCP.mean(
dat,
kw_method = "NG00",
bubbles = T,
entrainment = F,
output_conc = F,
debug = F
)
dat |
data frame matching the format outlined in O2NCP.transform |
kw_method |
character string passed to kw, default is 'NG00' |
bubbles |
logical value to enable bubble supersaturation param, default is TRUE (on) |
entrainment |
logical value to enable entrainment calculation, default is FALSE (off) |
output_conc |
logical value to enable expressing NCP as just a biological concentration change rather than a flux. |
debug |
logical value to print debug messages (units of mmol m-3), default is FALSE (off) |
Full explanation of the method and methods are found in Hull et al,
2015 Entrainment will only be calculated where an
entrainment
variable is found in the input data and it's value is
TRUE
. When being using within a monte-carlo analysis you can include
bias estimates in the following variables kw_error, B_error,
Csat_error
. Where these variables are found these parameters will be
scaled accordingly.
a vector of NCP in mmol per m-3 per supplied time interval
Hull et al, 2015 http://www.biogeosciences-discuss.net/12/15611/2015/bgd-12-15611-2015.html
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