DropRainyDays: Uses met data to avoid wet-probe data anomalies

In bmcnellis/sapflux: Analyze Sapflux Traces

Description

Wet TDP probes/probe assemblies have unreasonably low dTs relative to their normal transpiration rates - dropping rainy days can remove these anomalies

Usage

DropRainyDays(flux, met, rain = "rain", time = "time",
  time.format = "%m/%d/%Y", cutoff = 5)

Arguments

flux	Object of class 'flux'
met	Dataframe of met data
rain	Name or number of 'rain' column
time	Name or number of 'time' column.
time.format	Format of time vector
cutoff	Minimum amount of 24-hour rainfall to drop a day.

Details

Rain data must be in millimeters.

Value

Returns the modified flux object.

See Also

Other preprocess: AutoDropOutliers, BindRawFlux, ConsoleDropOutliers, GenerateMetaTemplate, ImportMeta, ImportRawFlux, MetaDataImport, oldBindRawFlux, oldImportRawFlux

Examples

rain <- read.csv("SITE_rain_events.csv", stringsAsFactors = FALSE)
colnames(rain) <- c("time", "rain")
rain[, 2] <- rain[, 2] * 10
flux.data <- DropRainyDays(flux = flux.data, met = rain)
# Check log:
print(flux.data@log[length(flux.data@log)])

bmcnellis/sapflux documentation built on May 12, 2019, 10:27 p.m.