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The easyclimate R package : Easy access to high-resolution daily climate data for Europe

Cruz-Alonso, Verónica ; Pucher, Christoph ; Ratcliffe, Sophia ; Ruiz-Benito, Paloma ; Astigarraga, Julen LU orcid ; Neumann, Mathias ; Hasenauer, Hubert and Rodríguez-Sánchez, Francisco (2023) In Environmental Modelling and Software 161.
Abstract

In recent decades there has been an increasing demand in environmental sciences for harmonized climatic data at large spatial scales and long periods. Here we present easyclimate, a software package to obtain daily climatic data at high resolution (0.0083°, ∼1 km) with R. The package facilitates the downloading and processing of precipitation, minimum and maximum temperatures for Europe from 1950 to 2020. Using easyclimate and given a set of coordinates (points or polygons) and dates (days or years), the user can download the climatic information as a tidy table or a raster object. In this package we implemented Cloud-Optimized GeoTIFFs which provide access to daily climate data for thousands of sites/days, without having to download... (More)

In recent decades there has been an increasing demand in environmental sciences for harmonized climatic data at large spatial scales and long periods. Here we present easyclimate, a software package to obtain daily climatic data at high resolution (0.0083°, ∼1 km) with R. The package facilitates the downloading and processing of precipitation, minimum and maximum temperatures for Europe from 1950 to 2020. Using easyclimate and given a set of coordinates (points or polygons) and dates (days or years), the user can download the climatic information as a tidy table or a raster object. In this package we implemented Cloud-Optimized GeoTIFFs which provide access to daily climate data for thousands of sites/days, without having to download huge rasters. Daily climate data are not available in many of the current climate databases and are essential for many research questions and applications in environmental modelling, forestry, and ecological and vegetation studies across Europe.

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author
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publishing date
type
Contribution to journal
publication status
published
subject
keywords
Climate, Cloud-optimized geoTIFF, Daily data, Europe, R package, Reproducibility
in
Environmental Modelling and Software
volume
161
article number
105627
publisher
Elsevier
external identifiers
  • scopus:85146679691
ISSN
1364-8152
DOI
10.1016/j.envsoft.2023.105627
language
English
LU publication?
no
additional info
Publisher Copyright: © 2023 Elsevier Ltd
id
f7897be3-1925-42d7-972d-bc1e5e8fe579
date added to LUP
2025-03-25 13:16:38
date last changed
2025-05-20 15:31:41
@article{f7897be3-1925-42d7-972d-bc1e5e8fe579,
  abstract     = {{<p>In recent decades there has been an increasing demand in environmental sciences for harmonized climatic data at large spatial scales and long periods. Here we present easyclimate, a software package to obtain daily climatic data at high resolution (0.0083°, ∼1 km) with R. The package facilitates the downloading and processing of precipitation, minimum and maximum temperatures for Europe from 1950 to 2020. Using easyclimate and given a set of coordinates (points or polygons) and dates (days or years), the user can download the climatic information as a tidy table or a raster object. In this package we implemented Cloud-Optimized GeoTIFFs which provide access to daily climate data for thousands of sites/days, without having to download huge rasters. Daily climate data are not available in many of the current climate databases and are essential for many research questions and applications in environmental modelling, forestry, and ecological and vegetation studies across Europe.</p>}},
  author       = {{Cruz-Alonso, Verónica and Pucher, Christoph and Ratcliffe, Sophia and Ruiz-Benito, Paloma and Astigarraga, Julen and Neumann, Mathias and Hasenauer, Hubert and Rodríguez-Sánchez, Francisco}},
  issn         = {{1364-8152}},
  keywords     = {{Climate; Cloud-optimized geoTIFF; Daily data; Europe; R package; Reproducibility}},
  language     = {{eng}},
  publisher    = {{Elsevier}},
  series       = {{Environmental Modelling and Software}},
  title        = {{The easyclimate R package : Easy access to high-resolution daily climate data for Europe}},
  url          = {{http://dx.doi.org/10.1016/j.envsoft.2023.105627}},
  doi          = {{10.1016/j.envsoft.2023.105627}},
  volume       = {{161}},
  year         = {{2023}},
}