It's #FigureFriday, so let's chat about my favorite subject: color palettes 🎨 for climate science visualization! (1/12)

First, why is it important? Put simply: a beautiful figure can communicate your results more effectively than text. It can make a figure more understandable to a public audience. So it is worth it to put care into your figure design. (2/12)

First, if you're plotting up climate model data, especially anomalies, I highly recommend Cynthia Brewer's palettes on ColorBrewer. BrBG is my go-to for precip anomalies, and RdBu is a natural for temperature. (3/12)

The sequential palettes are also great if you've got data going in one direction. Here's the Brewer "blues" at work for a figure showing LGM T change. (4/12)

But what about line graphs? If you are paleoclimatologist like me, you are probably plotting a bunch of squiggly lines. For this, I suggest designing a palette for your *entire paper* ahead on time, and then plot stuff in this palette in every figure. (5/12)