Articles | Volume 13, issue 11
Earth Syst. Sci. Data, 13, 5087–5114, 2021
https://doi.org/10.5194/essd-13-5087-2021
Earth Syst. Sci. Data, 13, 5087–5114, 2021
https://doi.org/10.5194/essd-13-5087-2021

Data description paper 04 Nov 2021

Data description paper | 04 Nov 2021

A 1 km global dataset of historical (1979–2013) and future (2020–2100) Köppen–Geiger climate classification and bioclimatic variables

Diyang Cui et al.

Data sets

KGClim future: A 1-km global dataset of future (2020-2100) Köppen-Geiger climate classification and bioclimatic variables Diyang Cui, Shunlin Liang, Dongdong Wang, and Zheng Liu https://doi.org/10.5281/zenodo.4542076

KGClim historical: A 1-km global dataset of historical (1979-2013) Köppen-Geiger climate classification and bioclimatic variables Diyang Cui, Shunlin Liang, Dongdong Wang, and Zheng Liu https://doi.org/10.5281/zenodo.5347837

A 1-km global dataset of historical (1979-2013) and future (2020-2100) Köppen-Geiger climate classification and bioclimatic variables Diyang Cui, Shunlin Liang, Dongdong Wang, and Zheng Liu http://glass.umd.edu/KGClim

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Short summary
Large portions of the Earth's surface are expected to experience changes in climatic conditions. The rearrangement of climate distributions can lead to serious impacts on ecological and social systems. Major climate zones are distributed in a predictable pattern and are largely defined following the Köppen climate classification. This creates an urgent need to compile a series of Köppen climate classification maps with finer spatial and temporal resolutions and improved accuracy.