In leighseverson/rnoaa: 'NOAA' Weather Data from R

knitr::opts_chunk$set(
  comment = "#>", 
  collapse = TRUE,
  warning = FALSE, 
  message = FALSE,
  cache = TRUE
)

NCDC vignette

About the package

rnoaa is an R wrapper for many NOAA data types, including National Climatic Data Center (NCDC).

Load rnoaa

library('rnoaa')
library('plyr')

Get info on a station by specifying a datasetid, locationid, and stationid

ncdc_stations(datasetid='GHCND', locationid='FIPS:12017', stationid='GHCND:USC00084289')

Search for data and get a data.frame

out <- ncdc(datasetid='NORMAL_DLY', datatypeid='dly-tmax-normal', startdate = '2010-05-01', enddate = '2010-05-10')
out$data

Plot data, super simple, but it's a start

out <- ncdc(datasetid='NORMAL_DLY', stationid='GHCND:USW00014895', datatypeid='dly-tmax-normal', startdate = '2010-01-01', enddate = '2010-12-10', limit = 300)
ncdc_plot(out)

More on plotting

Example 1

Search for data first, then plot

out <- ncdc(datasetid='GHCND', stationid='GHCND:USW00014895', datatypeid='PRCP', startdate = '2010-05-01', enddate = '2010-10-31', limit=500)

Default plot

ncdc_plot(out)

Create 14 day breaks

ncdc_plot(out, breaks="14 days")

One month breaks

ncdc_plot(out, breaks="1 month", dateformat="%d/%m")

Example 2

Search for data

out <- ncdc(datasetid='GHCND', stationid='GHCND:USW00014895', datatypeid='PRCP',
            startdate = '2010-05-01', enddate = '2010-10-31', limit=500)

Make a plot, with 6 hour breaks, and date format with only hour

ncdc_plot(out, breaks = "1 month", dateformat = "%d/%m")

Combine many calls to noaa function

Search for two sets of data

out1 <- ncdc(datasetid='GHCND', stationid='GHCND:USW00014895', datatypeid='PRCP', startdate = '2010-03-01', enddate = '2010-05-31', limit=500)

out2 <- ncdc(datasetid='GHCND', stationid='GHCND:USW00014895', datatypeid='PRCP', startdate = '2010-09-01', enddate = '2010-10-31', limit=500)

Then combine with a call to ncdc_combine

df <- ncdc_combine(out1, out2)
head(df[[1]]); tail(df[[1]])

Then plot - the default passing in the combined plot plots the data together. In this case it looks kind of weird since a straight line combines two distant dates.