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frostr is an unofficial R API to MET Norway’s Frost API. The package provides functions that retrieves data from resources in the Frost API to R as data frames.
The functions are
get_observations()
to get weather dataget_sources()
to get the station IDsget_locations()
to get location namesget_elements()
to get climate and weather elementsget_available_timeseries()
to get available time
seriesget_available_qualitycodes()
to get available quality
codesget_element_codetables()
to get code tables for climate
and weather elementsPlease visit the Frost API website to get a client ID and learn more about how to properly use the API service. Here are some starters:
The data is from the The Norwegian Meteorological Institute (abbreviated as MET Norway). The data and products are distributed under the Norwegian License for Open Data 2.0 (NLOD) and Creative Commons 4.0.
You can install the released version of frostr from CRAN with:
install.packages("frostr")
Alternatively, you can install a development version of frostr from GitHub to get bug fixes or new features before the next package version is released on CRAN. To install the development version, you can use devtools to install frostr from GitHub.
# install.packages("devtools")
::install_github("imangR/frostr") devtools
Say that I want to retrieve daily mean temperature, sum precipitation, and mean wind speed data for the first five months of 2019 as registered by the data source at Blindern. Then, I can utilize frostr to get that data as follows.
# Attach packages
library(frostr)
library(dplyr)
library(stringr)
# Set your client ID
<- "<YOUR CLIENT ID>"
frost_client_id
# Find the source ID for Blindern held by MET.NO
<- get_sources(client_id = frost_client_id)
sources
<- sources %>%
blindern_id filter(str_detect(name, "OSLO - BLINDERN") & stationHolders == "MET.NO") %>%
select(id)
# Find the name of the climate and weather elements of interest
<- get_elements(client_id = frost_client_id)
elements
View(elements)
#> id name units
#> ... ... ...
#> mean(air_temperature P1D) Mean air temperature (24 h) degC
#> sum(precipitation_amount P1D) Precipitation (24 h) mm
#> mean(wind_speed P1D) Average of wind speed of main obs. (24 h) m/s
#> ... ... ...
<- c("mean(air temperature P1D)",
elements "sum(precipitation_amount P1D)",
"mean(wind_speed P1D)")
# Declare the time range for which you want to retrieve observations
<- "2019-01-01/2019-05-31"
reference_time
# Get the weather observations specified
<- get_observations(client_id = frost_client_id,
observations_df sources = blindern_id,
elements = elements,
reference_time = reference_time)
frostr can break if MET Norway make changes to the Frost API. If you discover that a function does not work, then raise an issue by submitting a reproducible example on GitHub, so that I can identify and fix the issue.
If you want to report a discovered bug, raise some other issue, or suggest an improvement to frostr, then please file an issue on GitHub. For bugs, please file a minimal reproducible example.
The sources resource in the Frost API returns country names in Norwegian. Unfortunately, at the time of writing (2019-06-09), a language parameter cannot be set for this resource to return country names in English.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.