Rainbow color scheme is popularly used across the board in many scientific disciplines for
visualizing data, yet heavily debated in visualization literature. In this paper, we first report …

Gridded precipitation datasets are used in many applications such as the analysis of climate
variability/change and hydrological modeling. Regridding precipitation datasets is common …

Visualizations often encode numeric data using sequential and diverging color ramps.
Effective ramps use colors that are sufficiently discriminable, align well with the data, and are …

Realistic stochastic simulation of hydro‐environmental fluxes in space and time, such as
rainfall, is challenging yet of paramount importance to inform environmental risk analysis …

As droughts have widespread social and ecological impacts, it is critical to develop long‐
term adaptation and mitigation strategies to reduce drought vulnerability. Climate models …

A color palette is one of the simplest and most intuitive descriptors that can be extracted from
images or videos. This paper proposes a method to assess the similarity between color …

Interpreting colormap visualizations requires determining how dimensions of color in
visualizations map onto quantities in data. People have color-based biases that influence …

Quantitative data is frequently represented using color, yet designing effective color
mappings is a challenging task, requiring one to balance perceptual standards with …

Continuous colormaps are integral parts of many visualization techniques, such as heat-
maps, surface plots, and flow visualization. Despite that the critiques of rainbow colormaps …

Because crafting attractive and effective colors from scratch is a high-effort and time-
consuming process in map and visualization design, transferring color from an inspiration …