Published June 14, 2025 | Version v3
Software Open

ClimDatDownloadR: Downloads Climate Data from Chelsa and WorldClim

  • 1. ROR icon University of Freiburg
  • 2. Universität Hamburg, CEN
  • 1. ROR icon University of Freiburg
  • 2. Universität Hamburg, CEN

Description

This package `ClimDatDownloadR` provides functions to download, pre-process and manage CHELSA and WorldClim climate data sets in respective available spatial and temporal resolutions. The output is provided as GEOTIFF, ASCII, or netCDF format. The package's main purpose is to simplify and automate the downloading and pre-processing workflows. We are not redistributing the climate data sets. This work is based on work by Karger et al. (2017) (CHELSA), Hijmans et al. (2005) (WorldClim 1.4), and Fick and Hijmans (2017) (WorldClim 2.1). An applied comparison of the two data sets is given by Bobrowski & Schickhoff 2017.

As this package is still in active development, is it advised to visit the Github Repository for a more recent revision of the code.

Files

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Additional details

Software

Repository URL
https://github.com/HelgeJentsch/ClimDatDownloadR
Programming language
R
Development Status
Inactive

References

  • Beck, H., Wood, E.F., McVicar, T., Zambrano-Bigiarini, M., Alvarez-Garreton, C., Baez-Villanueva, O., Sheffield, J., Karger, D.N. (2020): Bias correction of global high-resolution precipitation climatologies using streamflow observations from 9372 catchments. Journal of Climate. https://doi.org/10.1175/JCLI-D-19-0332.1
  • Brun, P., Zimmermann, N.E., Hari, C., Pellissier, L., Karger, D. (2022): Data from: CHELSA-BIOCLIM+ A novel set of global climaterelated predictors at kilometre-resolution. EnviDat. https://doi.org/10.16904/envidat.332
  • Brun, P., Zimmermann, N.E., Hari, C., Pellissier, L., Karger, D.N. (preprint): Global climate-related predictors at kilometre resolution for the past and future. Earth Syst. Sci. Data Discuss. https://doi.org/10.5194/essd-2022-212
  • Fick, S.E. and R.J. Hijmans, 2017. WorldClim 2: new 1km spatial resolution climate surfaces for global land areas. International Journal of Climatology 37 (12): 4302-4315.
  • Hijmans, R.J., Cameron, S.E., Parra, J.L., Jones, P.G. and Jarvis, A. (2005), Very high resolution interpolated climate surfaces for global land areas. Int. J. Climatol., 25: 1965-1978. https://doi.org/10.1002/joc.1276
  • Karger D.N., Conrad, O., Böhner, J., Kawohl, T., Kreft, H., Soria-Auza, R.W., Zimmermann, N.E, Linder, H.P., Kessler, M. (2018): Data from: Climatologies at high resolution for the earth's land surface areas. Dryad digital repository. http://dx.doi.org/doi:10.5061/dryad.kd1d4
  • Karger D.N., Conrad, O., Böhner, J., Kawohl, T., Kreft, H., Soria-Auza, R.W., Zimmermann, N.E, Linder, H.P., Kessler, M. (2018): Data from: Climatologies at high resolution for the earth's land surface areas. EnviDat. https://doi.org/10.16904/envidat.228.v2.1
  • Karger, D.N., Conrad, O., Böhner, J., Kawohl, T., Kreft, H., Soria-Auza, R.W., Zimmermann, N.E., Linder, P., Kessler, M. (2017): Climatologies at high resolution for the Earth land surface areas. Scientific Data. 4 170122. https://doi.org/10.1038/sdata.2017.122
  • Karger, D.N., Dabaghchian, B., Lange, S., Thuiller, W., Zimmermann, N.E., Graham, C.H. (2020): High resolution climate data for Europe. EnviDat. http://dx.doi.org/doi:10.16904/envidat.150
  • Karger, D.N., Schmatz, D., Dettling, G., Zimmermann, N.E. (2019): High resolution monthly precipitation and temperature timeseries for the period 2006-2100. EnviDat. http://dx.doi.org/doi:10.16904/envidat.124
  • Karger, D.N., Schmatz, D., Detttling, D., Zimmermann, N.E. (2020): High resolution monthly precipitation and temperature timeseries for the period 2006-2100. Scientific Data. https://doi.org/10.1038/s41597-020-00587-y
  • Karger, D.N., Zimmermann, N.E. (2018): CHELSAcruts – High resolution temperature and precipitation timeseries for the 20th century and beyond. EnviDat. doi: https://doi.org/10.16904/envidat.159