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English: Colour palette adopted by climate scientist Ed Hawkins for "Warming stripes" graphic illustrating global warming. Dr. Hawkins chose the 8 most saturated reds and blues of ColorBrewer 9-class single hue palette. Creation date (below) was chosen as date of Dr. Hawkins' first wide publication of "warming stripes".
Warming stripes (sometimes referred to as climate stripes, [3] [4] [5] [Note 1] climate timelines [6] or stripe graphics [7]) are data visualization graphics that use a series of coloured stripes chronologically ordered to visually portray long-term temperature trends. [2]
Warming stripes bar chart — Accepts a single dataset and creates a conventional bar chart whose individual bars/columns are coloured according to Dr. Hawkins' warming stripes colour scheme. Alternate option: choose one colour for ascending bars and another colour for descending bars.
Warming stripes bar chart — Accepts a single dataset and creates a conventional bar chart whose individual bars/columns are coloured according to Dr. Hawkins' warming stripes colour scheme. Alternate option: choose one colour for ascending bars and another colour for descending bars.
Warming stripes bar chart — Accepts a single dataset and creates a conventional bar chart whose individual bars/columns are coloured according to Dr. Hawkins' warming stripes colour scheme. Alternate option: choose one colour for ascending bars and another colour for descending bars.
The temperature range covered by each color was chosen as 0.12 °C per color, in order to use use all sixteen colors without clipping. The "border" temperature between red and blue stripes was chosen as the average of the highest and lowest temperature values (not as an average of a date range as is customary in warming stripes).
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Credit for general concept of warming stripes: climate scientist Ed Hawkins, University of Reading, U.K. Data values are visualized using color rather than locations of points on a graph. Horizontal scale is time, from 1850 (left) to 2018 (right). Data is global (not for a locality).