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getCRUCLdata

Provides functions that automate importing CRU CL v. 2.0 climatology data into R.
https://github.com/ropensci/getCRUCLdata

Category: Climate Change
Sub Category: Climate Data Processing and Analysis

Keywords

climate-data cru cru-cl2 data-access diurnal-temperature elevation frost peer-reviewed r r-package rainfall relative-humidity rstats solar-radiation temperature wind

Keywords from Contributors

routes cycle occurrence noaa-data noaa climate weather gbif lifewatch oscibio

Last synced: about 10 hours ago
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Repository metadata

CRU CL v. 2.0 Climatology Client for R

README.md

getCRUCLdata: Use and Explore CRU CL v. 2.0 Climatology Elements in R

Project Status: Active – The project has reached a stable, usable state and is being actively developed. DOI JOSS status

Introduction to {getCRUCLdata}

The {getCRUCLdata} package provides functions that automate importing CRU CL v. 2.0 climatology data into R, facilitates the calculation of minimum temperature and maximum temperature, and formats the data into a data.table or a terra::SpatRaster object.

CRU CL v. 2.0 data are a gridded climatology of 1961-1990 monthly means released in 2002 and cover all land areas (excluding Antarctica) at 10 arc minutes (0.1666667 degree) resolution.
For more information see the description of the data provided by the University of East Anglia Climate Research Unit (CRU), https://crudata.uea.ac.uk/cru/data/hrg/tmc/readme.txt.

Changes to original CRU CL v. 2.0 data

This package automatically converts elevation values from kilometres to metres.

This package crops all spatial outputs to an extent of ymin = -60, ymax = 85, xmin = -180, xmax = 180.
Note that the original wind data include land area for parts of Antarctica, and so these are omitted.
There are also some elevation values around the Dead Sea area that do not have corresponding climate values and so these are removed.
What is left is a complete suite of data for climate and elevation data in all grid cells that are provided, but not all the data that are in the original datasets.

Quick Start

Install

{getCRUCLdata} is available from CRAN.

install.packages("getCRUCLdata")

You can also install it from the rOpenSci Universe as follows.

# Enable the rOpenSci R-universe
options(
  repos = c(
    rOpenSci = "https://ropensci.r-universe.dev",
    CRAN = "https://cloud.r-project.org"
  )
)
# Install the package
install.packages("getCRUCLdata")

Documentation

For complete documentation see the package website: https://docs.ropensci.org/getCRUCLdata/.

Meta

CRU CL v. 2.0 Reference and Abstract

Mark New (1,*), David Lister (2), Mike Hulme (3), Ian Makin (4)

A high-resolution data set of surface climate over global land areas Climate Research, 2000, Vol 21, pg 1-25

  1. School of Geography and the Environment, University of Oxford, Mansfield Road, Oxford OX1 3TB, United Kingdom
  2. Climatic Research Unit, and (3) Tyndall Centre for Climate Change Research, both at School of Environmental Sciences, University of East Anglia, Norwich NR4 7TJ, United Kingdom
  3. International Water Management Institute, PO Box 2075, Colombo, Sri Lanka

ABSTRACT: We describe the construction of a 10-minute latitude/longitude data set of mean monthly surface climate over global land areas, excluding Antarctica. The climatology includes 8 climate elements - precipitation, wet-day frequency, temperature, diurnal temperature range, relative humidity, sunshine duration, ground frost frequency and windspeed - and was interpolated from a data set of station means for the period centred on 1961 to 1990. Precipitation was first defined in terms of the parameters of the Gamma distribution, enabling the calculation of monthly precipitation at any given return period. The data are compared to an earlier data set at 0.5 degrees latitude/longitude resolution and show added value over most regions. The data will have many applications in applied climatology, biogeochemical modelling, hydrology and agricultural meteorology and are available through the School of Geography Oxford (https://www.geog.ox.ac.uk/), the International Water Management Institute “World Water and Climate Atlas” (https://www.iwmi.org/) and the Climatic Research Unit (https://www.uea.ac.uk/groups-and-centres/climatic-research-unit).

Other

  • Please report any issues or bugs.

  • License: MIT

  • Get citation information for getCRUCLdata in R typing citation(package = "getCRUCLdata")

  • Please note that this package is released with a Contributor Code of Conduct.
    By contributing to this project, you agree to abide by its terms.

Owner metadata

GitHub Events

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Committers metadata

Last synced: 7 days ago

Total Commits: 886
Total Committers: 4
Avg Commits per committer: 221.5
Development Distribution Score (DDS): 0.007

Commits in past year: 166
Committers in past year: 1
Avg Commits per committer in past year: 166.0
Development Distribution Score (DDS) in past year: 0.0

Name Email Commits
Adam H. Sparks a****s@g****m 880
Scott Chamberlain m****s@g****m 3
Jeroen Ooms j****s@g****m 2
Karthik Ram k****m@g****m 1

Issue and Pull Request metadata

Last synced: about 2 months ago

Total issues: 9
Total pull requests: 3
Average time to close issues: about 22 hours
Average time to close pull requests: about 9 hours
Total issue authors: 5
Total pull request authors: 2
Average comments per issue: 1.89
Average comments per pull request: 0.33
Merged pull request: 3
Bot issues: 0
Bot pull requests: 0

Past year issues: 1
Past year pull requests: 0
Past year average time to close issues: 2 days
Past year average time to close pull requests: N/A
Past year issue authors: 1
Past year pull request authors: 0
Past year average comments per issue: 1.0
Past year average comments per pull request: 0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/ropensci/getCRUCLdata

Top Issue Authors

  • adamhsparks (4)
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  • sckott (1)
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  • ivanhanigan (1)

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  • karthik (1)

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Package metadata

proxy.golang.org: github.com/ropensci/getcrucldata

  • Homepage:
  • Documentation: https://pkg.go.dev/github.com/ropensci/getcrucldata#section-documentation
  • Licenses: other
  • Latest release: v2.0.0+incompatible (published 29 days ago)
  • Last Synced: 2026-06-08T21:01:10.752Z (7 days ago)
  • Versions: 9
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Rankings:
    • Dependent packages count: 5.395%
    • Average: 5.576%
    • Dependent repos count: 5.758%
proxy.golang.org: github.com/ropensci/getCRUCLdata

  • Homepage:
  • Documentation: https://pkg.go.dev/github.com/ropensci/getCRUCLdata#section-documentation
  • Licenses: other
  • Latest release: v2.0.0+incompatible (published 29 days ago)
  • Last Synced: 2026-06-08T21:01:10.563Z (7 days ago)
  • Versions: 9
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Rankings:
    • Dependent packages count: 5.395%
    • Average: 5.576%
    • Dependent repos count: 5.758%

Dependencies

DESCRIPTION cran
  • R >= 3.2.0 depends
  • curl * imports
  • data.table * imports
  • hoardr * imports
  • terra * imports
  • utils * imports
  • ggplot2 * suggests
  • knitr * suggests
  • rappdirs * suggests
  • rmarkdown * suggests
  • roxygen2 * suggests
  • spelling * suggests
  • testthat * suggests
  • viridis * suggests
.github/workflows/R-CMD-check.yaml actions
  • actions/checkout v4 composite
  • r-lib/actions/check-r-package v2 composite
  • r-lib/actions/setup-pandoc v2 composite
  • r-lib/actions/setup-r v2 composite
  • r-lib/actions/setup-r-dependencies v2 composite
.github/workflows/test-coverage.yaml actions
  • actions/checkout v4 composite
  • actions/upload-artifact v4 composite
  • r-lib/actions/setup-r v2 composite
  • r-lib/actions/setup-r-dependencies v2 composite

Score: -Infinity