Visual Query of Time-Dependent 3D Weather in a Global Geospatial Environment

Ribarsky, William; Faust, Nickolas L.; Wartell, Zachary; Shaw, Chris; Jang, Junbong

doi:10.1007/978-1-4615-1149-6_5

Cited by 6 publications

(2 citation statements)

References 12 publications

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“…Looking at summaries on visualization of climate data [12,18], one can see that most techniques that are commonly used are standard 2D techniques such as colormaps, heightfields, isolines and glyphs. Recent visualization methods for climate data analysis are iconic representation [17], volume rendering [24] or interaction-based frameworks [3,8,23]. Visualization of time-varying data in general is covered in [11].…”

Section: Introductionmentioning

confidence: 99%

Visual Exploration of Climate Variability Changes Using Wavelet Analysis

Jänicke

Böttinger

Mikolajewicz

et al. 2009

IEEE Trans. Visual. Comput. Graphics

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Abstract-Due to its nonlinear nature, the climate system shows quite high natural variability on different time scales, including multiyear oscillations such as the El Niño Southern Oscillation phenomenon. Beside a shift of the mean states and of extreme values of climate variables, climate change may also change the frequency or the spatial patterns of these natural climate variations. Wavelet analysis is a well established tool to investigate variability in the frequency domain. However, due to the size and complexity of the analysis results, only few time series are commonly analyzed concurrently. In this paper we will explore different techniques to visually assist the user in the analysis of variability and variability changes to allow for a holistic analysis of a global climate model data set consisting of several variables and extending over 250 years. Our new framework and data from the IPCC AR4 simulations with the coupled climate model ECHAM5/MPI-OM are used to explore the temporal evolution of El Niño due to climate change.

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Section: Introductionmentioning

confidence: 99%

Visual Exploration of Climate Variability Changes Using Wavelet Analysis

Jänicke

Böttinger

Mikolajewicz

et al. 2009

IEEE Trans. Visual. Comput. Graphics

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“…Ribarsky et al [14] proposed a system for handling large-scale weather information. Although this system achieved an interactive visualization, it was not designed for realistic display of the clouds.…”

Section: Related Workmentioning

confidence: 99%

An interactive rendering system using hierarchical data structure for earth-scale clouds

Dobashi

Yamamoto

Nishita

2010

Sci. China Inf. Sci.

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This paper presents an interactive system for realistic visualization of earth-scale clouds. Realistic images can be generated at interactive frame rates while the viewpoint and the sunlight directions can be changed interactively. The realistic display of earth-scale clouds requires us to render large volume data representing the density distribution of the clouds. However, this is generally time-consuming and it is difficult to achieve the interactive performance, especially when the sunlight direction can be changed. To address this, our system precomputes the integrated intensities and opacities of clouds for various viewing and sunlight directions. This idea is combined with a novel hierarchical data structure for further acceleration. The photorealism of the final image is improved by taking into account the atmospheric effects and shadows of clouds on the earth. We demonstrate the usefulness of our system by an application to a space flight simulation. CitationDobashi Y, Yamamoto T, Nishita T. An interactive rendering system using hierarchical data structure for earth-scale clouds. Sci China Inf Sci, 2010, 53: 920-931,

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Interactive Simulation and Visualisation of Realistic Flooding Scenarios

Kehl

Haan

2012

Intelligent Systems for Crisis Management

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Visual Query of Time-Dependent 3D Weather in a Global Geospatial Environment

Cited by 6 publications

References 12 publications

Visual Exploration of Climate Variability Changes Using Wavelet Analysis

Visual Exploration of Climate Variability Changes Using Wavelet Analysis

An interactive rendering system using hierarchical data structure for earth-scale clouds

Interactive Simulation and Visualisation of Realistic Flooding Scenarios

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