Visually Comparing Weather Features in Forecasts

Meteorologists process and analyze weather forecasts using visualization in order to examine the behaviors of and relationships among weather features. In this design study conducted with meteorologists in decision support roles, we identified and attempted to address two significant common challenges in weather visualization: the employment of inconsistent and often ineffective visual encoding practices across a wide range of visualizations, and a lack of support for directly visualizing how different weather features relate across an ensemble of possible forecast outcomes. In this work, we present a characterization of the problems and data associated with meteorological forecasting, we propose a set of informed default encoding choices that integrate existing meteorological conventions with effective visualization practice, and we extend a set of techniques as an initial step toward directly visualizing the interactions of multiple features over an ensemble forecast. We discuss the integration of these contributions into a functional prototype tool, and also reflect on the many practical challenges that arise when working with weather data.

[1]  A.D. Hughes,et al.  Improvement of a retinal blood vessel segmentation method using the Insight Segmentation and Registration Toolkit (ITK) , 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[2]  Ross T. Whitaker,et al.  Contour Boxplots: A Method for Characterizing Uncertainty in Feature Sets from Simulation Ensembles , 2013, IEEE Transactions on Visualization and Computer Graphics.

[3]  Thomas Nocke,et al.  Visual exploration and evaluation of climate-related simulation data , 2007, 2007 Winter Simulation Conference.

[4]  Alan M. MacEachren,et al.  VISUALIZING UNCERTAIN INFORMATION , 1992 .

[5]  Alex Pang,et al.  Visualizing Uncertainty in Geo-spatial Data , 2001 .

[6]  Zoltan Toth,et al.  An Ensemble Forecasting Primer , 1997 .

[7]  Yaxing Wei,et al.  Bridging Theory with Practice: An Exploratory Study of Visualization Use and Design for Climate Model Comparison , 2015, IEEE Transactions on Visualization and Computer Graphics.

[8]  Cynthia A. Brewer Spectral Schemes: Controversial Color Use on Maps , 1997 .

[9]  J. Whitaker,et al.  NOAA's Second-Generation Global Medium-Range Ensemble Reforecast Dataset , 2013 .

[10]  Andrew Mercer,et al.  Noodles: A Tool for Visualization of Numerical Weather Model Ensemble Uncertainty , 2010, IEEE Transactions on Visualization and Computer Graphics.

[11]  Xindi Bian,et al.  Computing the Low-Elevation Variant of the Haines Index for Fire Weather Forecasts , 2008 .

[12]  William L. Hibbard,et al.  The VIS-5D system for easy interactive visualization , 1990, Proceedings of the First IEEE Conference on Visualization: Visualization `90.

[13]  David Borland,et al.  Rainbow Color Map (Still) Considered Harmful , 2007, IEEE Computer Graphics and Applications.

[14]  Min Chen,et al.  Glyph-based Visualization: Foundations, Design Guidelines, Techniques and Applications , 2013, Eurographics.

[15]  Brian E. Doty,et al.  Geophysical data analysis and visualization using the Grid Analysis and Display System , 1995 .

[16]  Phillip D. Bothwell,et al.  Forecasting Lightning Using a Perfect Prog Technique Applied to Multiple Operational Models , 2014 .

[17]  Erik Reinhard,et al.  Face-based luminance matching for perceptual colormap generation , 2002, IEEE Visualization, 2002. VIS 2002..

[18]  Christer Sjöström,et al.  State-of-the-art report , 1997 .

[19]  Prabhat,et al.  Ultrascale Visualization of Climate Data , 2013, Computer.

[20]  Colin Ware,et al.  Designing a better weather display , 2013, Inf. Vis..

[21]  Paul Rosen,et al.  From Quantification to Visualization: A Taxonomy of Uncertainty Visualization Approaches , 2011, WoCoUQ.

[22]  Valerio Pascucci,et al.  Ensemble-Vis: A Framework for the Statistical Visualization of Ensemble Data , 2009, 2009 IEEE International Conference on Data Mining Workshops.

[23]  Jason Dykes,et al.  Human-Centered Approaches in Geovisualization Design: Investigating Multiple Methods Through a Long-Term Case Study , 2011, IEEE Transactions on Visualization and Computer Graphics.

[24]  Mark Gahegan,et al.  A typology for visualizing uncertainty , 2005, IS&T/SPIE Electronic Imaging.

[25]  Tamara Munzner,et al.  Design Study Methodology: Reflections from the Trenches and the Stacks , 2012, IEEE Transactions on Visualization and Computer Graphics.

[26]  Kenneth Moreland,et al.  Diverging Color Maps for Scientific Visualization , 2009, ISVC.

[27]  Robert R. Hoffman,et al.  Computer-Aided Visualization in Meteorology , 2007 .

[28]  Hans-Christian Hege,et al.  Probabilistic Marching Cubes , 2011, Comput. Graph. Forum.