Computer-Generated Imagery for 4-D Meteorological Data

Hibbard, William L.

doi:10.1175/1520-0477(1986)067<1362:cgifdm>2.0.co;2

Cited by 20 publications

(15 citation statements)

References 7 publications

(7 reference statements)

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“…Early approaches in the 1970s and 1980s used mainframe computers to create 3-D views or animations of atmospheric observations and numerical model output (e.g. Grotjahn and Chervin, 1984;Hibbard, 1986;Papathomas et al, 1988;Hibbard et al, 1989;Schiavone and Papathomas, 1990, and references therein). For example, Wilhelmson et al (1990) created an award-winning (cf.…”

Section: -D Visualization In Meteorologymentioning

confidence: 99%

Three-dimensional visualization of ensemble weather forecasts – Part 1: The visualization tool Met.3D (version 1.0)

Rautenhaus¹,

Kern²,

Schäfler

et al. 2015

Geosci. Model Dev.

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Abstract. We present "Met.3D", a new open-source tool for the interactive three-dimensional (3-D) visualization of numerical ensemble weather predictions. The tool has been developed to support weather forecasting during aircraft-based atmospheric field campaigns; however, it is applicable to further forecasting, research and teaching activities. Our work approaches challenging topics related to the visual analysis of numerical atmospheric model output – 3-D visualization, ensemble visualization and how both can be used in a meaningful way suited to weather forecasting. Met.3D builds a bridge from proven 2-D visualization methods commonly used in meteorology to 3-D visualization by combining both visualization types in a 3-D context. We address the issue of spatial perception in the 3-D view and present approaches to using the ensemble to allow the user to assess forecast uncertainty. Interactivity is key to our approach. Met.3D uses modern graphics technology to achieve interactive visualization on standard consumer hardware. The tool supports forecast data from the European Centre for Medium Range Weather Forecasts (ECMWF) and can operate directly on ECMWF hybrid sigma-pressure level grids. We describe the employed visualization algorithms, and analyse the impact of the ECMWF grid topology on computing 3-D ensemble statistical quantities. Our techniques are demonstrated with examples from the T-NAWDEX-Falcon 2012 (THORPEX – North Atlantic Waveguide and Downstream Impact Experiment) campaign.

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Section: -D Visualization In Meteorologymentioning

confidence: 99%

Three-dimensional visualization of ensemble weather forecasts – Part 1: The visualization tool Met.3D (version 1.0)

Rautenhaus¹,

Kern²,

Schäfler

et al. 2015

Geosci. Model Dev.

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“…Meteorological Data Visualization Meteorological data visualization has become an important topic since tens of years ago [13,29]. Many practical visualization tools have been developed to support domain research, such as Vis5D [12], Ferret [10] and GRADS [1].…”

Section: Related Workmentioning

confidence: 99%

A visual voting framework for weather forecast calibration

Liao

Chen

et al. 2015

2015 IEEE Scientific Visualization Conference (SciVis)

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Numerical weather predictions have been widely used for weather forecasting. Many large meteorological centers are producing highly accurate ensemble forecasts routinely to provide effective weather forecast services. However, biases frequently exist in forecast products because of various reasons, such as the imperfection of the weather forecast models. Failure to identify and neutralize the biases would result in unreliable forecast products that might mislead analysts; consequently, unreliable weather predictions are produced. The analog method has been commonly used to overcome the biases. Nevertheless, this method has some serious limitations including the difficulties in finding effective similar past forecasts, the large search space for proper parameters and the lack of support for interactive, real-time analysis. In this study, we develop a visual analytics system based on a novel voting framework to circumvent the problems. The framework adopts the idea of majority voting to combine judiciously the different variants of analog methods towards effective retrieval of the proper analogs for calibration. The system seamlessly integrates the analog methods into an interactive visualization pipeline with a set of coordinated views that characterizes the different methods. Instant visual hints are provided in the views to guide users in finding and refining analogs. We have worked closely with the domain experts in the meteorological research to develop the system. The effectiveness of the system is demonstrated using two case studies. An informal evaluation with the experts proves the usability and usefulness of the system.

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“…Desjardins and Hasler (1980), Hasler (1981) and Hasler et al (1988) have demonstrated the use of false and real video stereo using data from geostationary satellite platforms to yield three-dimensional (3-D) renditions of cloud and storm systems. Hasler et al (1985), Hibbard (1986), andVonder Haar et al (1988) have demonstrated advanced perspective imaging techniques involving the application of shading along with false stereo to encompass the video screen viewer within four-dimensional (4-D) data assimilations of weather systems. Also, Grotjahn and Chervin (1984) have shown how wire-frame graphics and shading can be used to animate high band-width streams of numerical model data.…”

Section: Bulletin American Meteorological Societymentioning

confidence: 99%

A PC-Based Interactive Imaging System Designed for INSAT Data Analysis and Monsoon Studies

Smith¹,

Oh²,

Smith³

1989

Bull. Amer. Meteor. Soc.

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A PC-based interactive image processing system has been developed for aiding the analysis of Indian Geosynchronous Satellite (INSAT) data for Asian monsoon studies. In view of its diminutive stature, the system has been given the name "MIDGET," for a Micro-based Image Display and Graphics Enhancement Tool. Various analysis procedures involving INSAT data and other monsoon datasets are described in conjunction with the MIDGET system. These include the use of the system for monitoring monsoon evolution and the behavior of organized tropical storms, analysis of low-frequency intraseasonal oscillations, diagnostic studies of cloudiness, retrieval of monsoon precipitation and its relationship to satellite cloudiness, and statistical prediction of monsoon cloud bands associated with low-frequency intraseasonal fluctuations of monsoon rainfall. The system is designed as a workstation terminal in a supercomputer environment. The basic virtue of this system is that it is an inexpensive approach for generating a high-resolution video timelapse of large satellite datasets in an interactive environment familiar to PC users. The motivation for developing this system derives from a new source of Indian satellite data that has been made available to United States scientists through archive holdings at the National Center for Atmospheric Research.

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Computer-Generated Imagery for 4-D Meteorological Data

Cited by 20 publications

References 7 publications

Three-dimensional visualization of ensemble weather forecasts – Part 1: The visualization tool Met.3D (version 1.0)

Three-dimensional visualization of ensemble weather forecasts – Part 1: The visualization tool Met.3D (version 1.0)

A visual voting framework for weather forecast calibration

A PC-Based Interactive Imaging System Designed for INSAT Data Analysis and Monsoon Studies

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