R: Grid Argo float data

argoGrid {oce} | R Documentation

## Grid Argo float data

### Description

Grid an Argo float, by interpolating to fixed pressure levels. The gridding is done with `approx()`. If there is sufficient user demand, other methods may be added, by analogy to `sectionGrid()`.

### Usage

    argoGrid(argo, p, debug = getOption("oceDebug"), ...)

### Arguments

`argo` | A `argo` object to be gridded.
`p` | Optional indication of the pressure levels to which interpolation should be done. If this is not supplied, the pressure levels will be calculated based on the existing values, using medians. If `p="levitus"`, then pressures will be set to be those of the Levitus atlas, given by `standardDepths()`, trimmed to the maximum pressure in `argo`. If `p` is a single numerical value, it is taken as the number of subdivisions to use in a call to `seq()` that has range from 0 to the maximum pressure in `argo`. Finally, if a vector numerical values is provided, then it is used as is.
`debug` | A flag that turns on debugging. Higher values provide deeper debugging.
`...` | Optional arguments to `approx()`, which is used to do the gridding.

### Value

x an argo object.

### A note about flags

Data-quality flags contained within the original object are ignored by this function, and the returned value contains no such flags. This is because such flags represent an assessment of the original data, not of quantities derived from those data. This function produces a warning to this effect. The recommended practice is to use `handleFlags()` or some other means to deal with flags before calling the present function.

### Author(s)

Dan Kelley and Clark Richards

### See Also

Other things related to argo data: `[[,argo-method`, `[[<-,argo-method`, `argo-class`, `argoNames2oceNames()`, `argo`, `as.argo()`, `handleFlags,argo-method`, `plot,argo-method`, `read.argo()`, `subset,argo-method`, `summary,argo-method`

### Examples

    library(oce)
    data(argo)
    g <- argoGrid(argo, p=seq(0, 100, 1))
    par(mfrow=c(2,1))
    t <- g[["time"]]
    z <- -g[["pressure"]][,1]
    ## Set zlim because of spurious temperatures.
    imagep(t, z, t(g[['temperature']]), ylim=c(-100,0), zlim=c(0,20))
    imagep(t, z, t(g[['salinity']]), ylim=c(-100,0))

[Package oce version 1.2-0 Index]