Case study on the adaptation of interactive visualization applications to Web-based production for operational mesoscale weather models
01 Jan 2002-pp 549-552
About: This article is published in IEEE Visualization.The article was published on 2002-01-01. It has received 3 citations till now. The article focuses on the topics: Interactive visualization & Adaptation (computer science).
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TL;DR: The author considers how cartographic and geographic information techniques seem to span both scientific and information visualization, and discusses the future directions in bioinformatics visualization.
Abstract: Is it necessary to continue to define a difference between information and scientific visualization? Is the determined need for these differences creating confusion rather than helping investigators understand how to effectively apply visual display techniques to data and information? The author considers how cartographic and geographic information techniques seem to span both scientific and information visualization. She discusses the future directions in bioinformatics visualization.
36 citations
10 Oct 2004
TL;DR: This paper draws upon visualization and modeling sciences to develop a methodology for defining a set of visualization and visual tools for monitoring and managing interdependent critical infrastructure systems.
Abstract: Critical infrastructures provide services essential to a nation's economy and security. These systems are now viewed as interconnected and interdependent systems that must be managed over space and time. The central problem of the present line of research is how to develop computer-based tools to support the delivery of services provided by these infrastructures. This paper draws upon visualization and modeling sciences to develop a methodology for defining a set of visualization and visual tools for monitoring and managing interdependent critical infrastructure systems. An example is used to illustrate the steps in the methodology.
15 citations
01 Oct 2022
TL;DR: Wang et al. as mentioned in this paper proposed an immersive meteorological virtual sandbox to resolve the problems of restricted representation and data perception in 2D analysis, which allows users to interact directly with data by utilizing non-contact aerial gestures (NCAG).
Abstract: It has emerged that a novel way for the visual representation of meteorological data with the maturing of Immersive Analytics(IA). We propose an immersive meteorological virtual sandbox to resolve the problems of restricted representation and data perception in 2D analysis. It is a new visual method that allows users to interact directly with data by utilizing non-contact aerial gestures (NCAG). The fact that IA is currently not prevalent in weather visualization. In our system, we propose a new flow of visual exploration in meteorology based on the “What You See Is What You Get” (WYSIWYG) concept from scientific visualization, which can address the problems of weather data analysis in an immersive environment. Finally, we conduct a questionnaire for users who are invited to test our system and assess our work. The evaluation demonstrates that our system can reduce the cognitive burden, reduce the mental workload, and strengthen user's spatial memory.
1 citations
References
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TL;DR: In this paper, a range of applications of the Regional Atmospheric Modeling System (RAMS), a comprehensive mesoscale meterological modeling system, are discussed, including large eddy simulations (LES) and simulations of thunderstorms, cumulus fields, mesoscales, convective systems, mid-latitude cirrus clouds, winter storms, mechanically and thermally-forced meso-scale systems, and mesoscopic atmospheric disperision.
Abstract: This paper presents a range of applications of the Regional Atmospheric Modeling System (RAMS), a comprehensive mesoscale meterological modeling system. Applications discussed in this paper include large eddy simulations (LES) and simulations of thunderstorms, cumulus fields, mesoscale convective systems, mid-latitude cirrus clouds, winter storms, mechanically- and thermally-forced mesoscale systems, and mesoscale atmospheric disperision. A summary of current RAMS options is also presented. Improvements to RAMS currently underway include refinements to the cloud radiation, cloud microphysics, cumulus, and surface soil/vegetative parameterization schemes, the parallelization of the code, development of a more versatile visualization capability, and research into meso-α-scale cumulus parameterization.
1,685 citations
TL;DR: Exploring the advantages of extending the powerful spreadsheet style of computation to multiple sets of images and organizing image processing tasks is the objective of the Interactive Image SpreadSheet project at Goddard Space Flight Center.
Abstract: New methods are needed for visualizing, interpreting, comparing, organizing, and analyzing immense multispectral satellite datasets. The traditional numerical spreadsheet paradigm has been extended to develop a new scientific visualization approach for processing multisensor image datasets interactively. Exploring the advantages of extending the powerful spreadsheet style of computation to multiple sets of images and organizing image processing tasks is the objective of the Interactive Image SpreadSheet (IISS) project at Goddard Space Flight Center. In the IISS each cell can display any portion of an original or calculated image, a projection of a multidimensional dataset such as a 3‐D surface, a glyph (graphic symbol) representing an image, digitized maps, digital terrain models, graphs, or vector drawings. The term image is used in a general sense to refer to any 2‐D multisource dataset. The IISS typically contains an array of image cells of arbitrary size each of which can contain one or more frames (images). The user can scroll or page through this multidimensional cube of frames along any dimension. The IISS emphasizes an immediate visual approach to interacting with data. A unique capability that the IISS provides are the highly interactive browsing tools, accessible through a graphical user interface, for effectively inspecting large sets of image arrays using synchronized cell level operations such as zoom, roam, animation, and function execution. The IISS combines the quantitative aspects of a numerical spreadsheet with powerful visualization tools to enable an investigator to easily experiment with various combinations of multispectral image data using a library of standard algorithms and to interactively develop custom algorithms. Remotely sensed datasets from multispectral instruments on satellites such as GOES, NOAA, Nimbus, DMSP, and Landsat have been used to develop and evaluate the functionality of the IISS. Formula expressions for creating color composites, implementing image enhancements, calculating vegetation indices, viewing perspective and stereo imagery have been developed using multispectral data. The IISS can also be used in a variety of imaging disciplines that routinely need to organize and manipulate large volumes of visual data including numerical simulation data, observational field data, astronomical imaging, biomedical imaging, computer vision and manufacturing robotics, business document imaging, and multimedia. The practical realization of the computationally challenging IISS project relies on the fact that personal superworkstations have become inexpensive enough that one can extend the interactive scalar spreadsheet concept to the image processing field. The hardware features that make this possible include multiple processors, large amounts of general purpose memory, high‐performance data buses, large mass storage, and pipelined or other advanced architectures for graphics and image operations. The need for increasingly more interactive imaging and visualization applications using high definition displays in collaborative environments will continue to drive the demand for more powerful hardware features and information network capabilities that are widely accessible.
54 citations
IBM1
TL;DR: This case study in operational weather forecasting demonstrates the principles of task-specific visualization design: defining user needs, implementing that definition, and establishing techniques for different user goals.
Abstract: This case study in operational weather forecasting demonstrates the principles of task-specific visualization design: defining user needs, implementing that definition, and establishing techniques for different user goals. The current applications can generate visualizations for the Web after an intermediate step of migrating the products to a Web server. This proves advantageous in an operational environment because the forecaster has content control. However, direct generation within a Web browser, which requires a simplified user interface and content, will require further refinement of the task decomposition. The notion of task-driven customization of content and interface has succeeded in weather forecasting, but the idea also applies to other domains. The potential benefits should encourage visualization designers to adopt these principles in their application development.
46 citations
01 Jan 2000
19 citations
01 Jan 2000
12 citations