R: Read a met File

read.met {oce}

R Documentation

Read a met File

Description

Reads some meteorological file formats used by the Environment Canada (see reference 1). Since the agency does not publish the data formats, this function has to be adjusted every few years, when a user finds that the format has changed. Caution: as of March 2022, this function fails on some on Windows machines, for reasons that seem to be related to the handling of both file encoding and system encoding. Adjusting the encoding parameter of this function might help. If not, try reading the data with read.csv() and then using as.met() to create a met object.

Usage

read.met(
  file,
  type = NULL,
  skip = NULL,
  encoding = "latin1",
  tz = getOption("oceTz"),
  debug = getOption("oceDebug")
)

Arguments

`file`	a character string naming a file that holds met data.
`type`	if `NULL`, which is the default, then an attempt is made to infer the type from the file contents. If this fails, it will be necessary for the user to provide a value for the `type` argument. The permitted choices are: (a) `"csv"` or `"csv1"` for an old CSV format no longer provided as of October 2019, (b) `"csv2"` for a CSV format noticed on the Environment Canada website in October 2019 (but note that the paired metadata file is ignored), (c) `"csv3"` for a CSV format noticed on the Environment Canada website in January 2020, and (d) `"xml2"` for an XML format that was noticed on the Environment Canada website in October 2019.
`skip`	integer giving the number of header lines that precede the data. This is ignored unless `type` is `"csv"` or `"csv1"`, in which case a non-`NULL` value of `skip` is taken as the number of lines preceding the columnar data. Specifying `skip` is usually only needed if `read.met()` cannot find a line starting with `"Date/Time"` (or a similar string).
`encoding`	a character value that indicates the encoding to be used for this data file, if it is textual. The default value for most functions is `"latin1"`, which seems to be suitable for files containing text written in English and French.
`tz`	timezone assumed for time data. This defaults to `getOption("oceTz")`, which is very likely to be wrong. In a scientific context, where UTC is typically used for oceanographic measurement, it makes sense to set `tz="UTC"`. Note that these data files do not contain timezone information, instead giving data in Local Standard Time (LST). Since LST differs from city to city, users must make corrections to the time, as shown in the “Examples”, which use data for Halifax Nova Scotia, where LST is UTC-4.
`debug`	a flag that turns on debugging. Set to 1 to get a moderate amount of debugging information, or to 2 to get more.

Value

A met object.

Sample of Usage

# Example 1: "csv1" Environment Canada format (found to be obsolete as of Oct 2019)
csv1 <- read.met(system.file("extdata", "test_met_vsn1.csv", package="oce"))
csv1 <- oceSetData(csv1, "time", csv1[["time"]]+4*3600,
    note="add 4h to local time to get UTC time")

# Example 2: "csv2" Environment Canada format (found to be obsolete as of Jan 2022)
csv2 <- read.met(system.file("extdata", "test_met_vsn2.csv", package="oce"))
csv2 <- oceSetData(csv2, "time", csv2[["time"]]+4*3600,
    note="add 4h to local time to get UTC time")

# Example 3: "csv3" Environment Canada format. Note timezone correction
csv3 <- read.met(system.file("extdata", "test_met_vsn3.csv", package="oce"))
csv3 <- oceSetData(csv3, "time", csv3[["time"]]+4*3600,
    note="add 4h to local time to get UTC time")

# Example 4: "xml2" format. (Uncertain timezone, so not corrected.)
if (requireNamespace("XML", quietly=TRUE))
    xml2 <- read.met(system.file("extdata", "test_met_xml2.xml", package="oce"))

# Example 5: download and plot
library(oce)
# Recreate data(met) and plot u(t) and v(t)
metFile <- download.met(id=6358, year=2003, month=9, destdir=".")
met <- read.met(metFile)
met <- oceSetData(met, "time", met[["time"]]+4*3600,
    note="add 4h to local time to get UTC time")
plot(met)

Author(s)

Dan Kelley

References

Environment Canada website for Historical Climate Data ⁠https://climate.weather.gc.ca/index_e.html⁠