Import Surface Meteorological Data from NOAA Integrated Surface Database (ISD)

Functions to import data from more than 30,000 surface meteorological sites around the world managed by the National Oceanic and Atmospheric Administration (NOAA) Integrated Surface Database (ISD, see < https://www.ncdc.noaa.gov/isd>).


worldmet - R package for accessing NOAA Integrated Surface Database (ISD) meteorological observations

Travis-CI Build Status

worldmet provides an easy way to access data from the NOAA Integrated Surface Database (ISD). The ISD contains detailed surface meteorological data from around the world for over 35,000 locations. See also the map.

The package outputs (typically hourly meteorological data) work very well with the openair package.

Installation

Installation of worldmet from GitHub is easy using the devtools package.

require(devtools)
install_github('davidcarslaw/worldmet')

Brief examples

To search for meteorological sites the user can search by the name or partial name of the site in upper or lower case. The getMeta function will return all site names that match the search string. The most important information returned is the code, which can then be supplied to the importNOAA function that downloads the data.

For example, to search for site "heathrow":

library(worldmet)
## note code to be used in importNOAA
 
getMeta(site = "heathrow")
##        USAF  WBAN  STATION CTRY ST CALL latitude longitude ELEV(M)
## 1669 037720 99999 HEATHROW   UK    EGLL   51.478    -0.461    25.3
##           BEGIN        END         code dist
## 1669 1948-12-01 2017-12-15 037720-99999   NA

Often we have a latitude / longitude of interest. A search can be made based on supplied decimal coordinates and the top n nearest sites are returned. The map shows the location searched by the user (red dot) and markers showing the nearest meteorological stations. Click on a station marker to obtain the code and other basic information.

## search for near a specified lat/lon - near Beijing airport
## returns 'n' nearest by default
info <- getMeta(lat = 40, lon = 116.9)
map of Beijing area

To obtain the data the user must supply a code (see above) and year or years of interest. For example, to download data for Heathrow Airport in 2010 (code 037720-99999):

dat <- importNOAA(code = "037720-99999", year = 2010)
head(dat)
## # A tibble: 6 x 23
##                  date   usaf  wban         code  station    lat   lon
##                <dttm>  <chr> <int>        <chr>    <chr>  <dbl> <dbl>
## 1 2010-01-01 00:00:00 037720 99999 037720-99999 HEATHROW 51.483 -0.45
## 2 2010-01-01 01:00:00 037720 99999 037720-99999 HEATHROW 51.483 -0.45
## 3 2010-01-01 02:00:00 037720 99999 037720-99999 HEATHROW 51.483 -0.45
## 4 2010-01-01 03:00:00 037720 99999 037720-99999 HEATHROW 51.483 -0.45
## 5 2010-01-01 04:00:00 037720 99999 037720-99999 HEATHROW 51.483 -0.45
## 6 2010-01-01 05:00:00 037720 99999 037720-99999 HEATHROW 51.483 -0.45
## # ... with 16 more variables: elev <dbl>, wd <dbl>, ws <dbl>,
## #   ceil_hgt <dbl>, visibility <dbl>, air_temp <dbl>, dew_point <dbl>,
## #   atmos_pres <dbl>, RH <dbl>, cl_1 <dbl>, cl_1_height <dbl>, cl_2 <dbl>,
## #   cl_2_height <dbl>, cl_3 <dbl>, cl_3_height <dbl>, cl <dbl>

News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("worldmet")

0.8.4 by David Carslaw, 4 months ago


http://github.com/davidcarslaw/worldmet


Report a bug at http://github.com/davidcarslaw/worldmet/issues


Browse source code at https://github.com/cran/worldmet


Authors: David Carslaw [aut, cre]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports openair, doParallel, parallel, foreach, dplyr, leaflet, readr, zoo


See at CRAN