Visualization and visual analysis play important roles in exploring, analyzing, and
presenting scientific data. In many disciplines, data and model scenarios are becoming …

This article surveys the history and current state of the art of visualization in meteorology,
focusing on visualization techniques and tools used for meteorological data analysis. We …

Rapid increases in high performance computing are feeding the development of larger and
more complex data sets in climate research, which sets the stage for so-called “big data” …

Vector fields are a common concept for the representation of many different kinds of flow
phenomena in science and engineering. Methods based on vector field topology are known …

A comparative visualization of multiple volume data sets is challenging due to the inherent
occlusion effects, yet it is important to effectively reveal uncertainties, correlations and …

Currently, there is extensive usage of climate datasets aimed at predicting future climate
variability and its impacts on the environment, economy, and society. To gain insights into …

Close collaboration with other scientific fields is an important goal for the visualization
community. Yet engaging in a scientific collaboration can be challenging. The physical …

Inter‐comparison and similarity analysis to gauge consensus among multiple simulation
models is a critical visualization problem for understanding climate change patterns. Climate …

Whenever a visualization researcher is asked about the purpose of visualization, the phrase
“gaining insight” by and large pops out instinctively. However, it is not absolutely factual that …

Weather conditions affect multiple aspects of human life such as economy, safety, security,
and social activities. For this reason, weather forecast plays a major role in society. Currently …