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Data & methodology

The diagrams use the free global dataset CHELSA (Climatologies at high resolution for the earth's land surface areas). These high-resolution data cover the period 1981-2010, and pixel size is less than one square kilometer.

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


The diagram uses D3.js in an ObservableHQ notebook (Climate Diagrams). The map is a Leaflet map, geolocation is done by LocationIQ.

There are also other diagram variants — a Walter-Lieth climate diagram (the classic scientific diagram form: 1:2 temperature/precipitation scale, compressed above 100mm, with humid/arid shading, described on Wikipedia) and a Klimogramm (monthly temperature/precipitation pairs plotted as a chronologically connected loop).

The climate classification (Köppen-Geiger, Cannon, Trewartha, Defaut 1996, Thornthwaite-Feddema, Whittaker) is done using pyZonae by Didier M. Roche, Didier Paillard and G. Bonneroy, a modernized merge building on the original pyKoeppen.



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