insertInst | R Documentation |
*PRESSURE Use the measured pressure from an alternate instrument positioned on the same moooring as the ADCP This has benefits of a more accurate pressure reading which can be translated to depth Note: If the pressure sensor is below the ADCP the mooring separation distance (offset) should be negative.
insertInst(adp, var, file = adp[["alternate_pressure_file"]], offset = adp[["vertical_separation"]])
adp |
adp object into which to insert data |
var |
variable you wish to pull from other instrument |
file |
file where data from alternate instrument is stored |
offset |
the mooring separation between the instruments (in metres) |
Extreme caution should be used when applying this function to anything other than pressure as there may be significant differences in values despite only a few metres separation.
*COMPASS HEADING This function can be used to insert compass headings from an alternate source in extreme high latitude cases. Compass heading data with magnetic declination applied should be in .csv form. Use the argument var = 'heading'. Please double check data after using this function, best done by plotting UV scatter plots or progressive vector plots. Ensure that headings are correct and current directionality is logical. This function is designed to read a csv with columns ensemble number and heading. Please format csv in this way to avoid errors. Please see ADCP processing guide for instructions on how to calculate alternate headings.
*NOTE If attempting to use this function and the times of the instruments are
at different sampling intervals, it may be necessary to manually insert the
data using oceSetData
. In this case the user
can pull the data into the chosen oce object and edit it manually which may
include removing data points or averaging data points to match the sampling
interval of the ADCP. There may be other cases where a similar method is
required, if there is a consistent specific case which requires an extra
function please suggest to developers. More information can also be found in
the Moored ADCP processing guide
https://gccode.ssc-spc.gc.ca/dfo-mar-odis/MooredDataProcessing/Documentation
adp object with data set completed from alternate sources
#list odf files odflist <- list.files(path = ".", pattern = "MADCP*...*00.ODF") #read list of odf files into adp object adp <- odf2adp(odflist) #add in raw and netCDF metadata and data to adp objecct raw <- list.files(path = '.', pattern = "*.000") nc <- list.files(path = '.', pattern = "*.nc") adp <- adpCombine(adp, raw, nc) #insert microcat pressure data file <- list.files(path = '.', pattern = "MCTD*...*.ODF") adp <- insertInst(adp, var = 'pressure', file = file)
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