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Scientific Visualization and Digital Effects Production Pipelines. Stewart Dickson NOAA National Climatic Data Center. How Does an Effects Movie Get Made?. A Visionary Communicates a Vision to a Production Crew. How Does a Movie Get Made?. The Visionary. The Vision.
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Scientific VisualizationandDigital Effects Production Pipelines Stewart Dickson NOAA National Climatic Data Center
How Does an Effects Movie Get Made? • A Visionary Communicates a Vision to a Production Crew
How Does a Movie Get Made? The Visionary The Vision • A VISIONARY Communicates a Vision to a Production Crew Production Crew
The VISIONARY The Vision Directorial Story S u p e r v i s i o n Art Script Concept Shot Breakdown Story Board Production Crew
Shot Breakdown -> The Storyboard Time 00:00:00 Sequence 1 Scene 1.1 00:00:15 . . . . . . Act I 00:28:34 Sequence 6 Scene 6.1 00:29:01 Scene 7.1 Sequence 7 00:29:05 Scene 7.2 Act II 00:33:29 . . . . . . 01:05:29 Sequence 12 Scene 12.1 01:10:59 Sequence 13 Scene 13.1 01:14:55 . . . . . . Act III 01:19:25 Sequence 18 Scene 18.1 01:25:09
Production Crew Characters The VISION Props Story Scene X.y Sets Art Script Environments Shot Breakdown Concept Lights Cameras Story Board EFX Editing
How Does a Scientific Movie Get Made? • A Scientist Makes an Important Discovery • Scientists are Really Bad at * Communicating a Vision • A Visionary Communicates the Vision to a Production Crew
Production Crew Environment The Discovery Data Source 1 Scene The VISION Data Source 2 Story Data Source 3 Art Script Lights Shot Breakdown Concept Cameras Story Board EFX Editing
Current Climate Visualization Production Pipeline • Collaborate with those who understand the climate trend • Identify the spatial and temporal ranges for the trend • Obtain necessary model or historical data for visualizing the trend • Determine appropriate rendering technique per data type • Build the digital scene, Develop the Story • Rendering and final editing
1. Collaborate with those who understand the climate trend • An intermediary translates between the scientists and the artists • Understanding is converted to narrative • The script produces narration, voiceover, audio track • The shot list and storyboard are delivered to the production crew
2. Identify the spatial and temporal ranges for the trend • Spatial (Longitude-Latitude) • Temporal (Date/Time) • Prediction model or historical database gives this information.
3. Obtain necessary model or historical data for visualizing the trend • GIS layers -- “Environment” -- Context • GOES BAND 1 IR Satellite • Fixed Weather Station • Moored Buoy • River Gage • NEXRAD Level-II • Model Data, Historical Weather Event Data
4. Determine appropriate rendering technique per data type • Vector Field, “Weather Vanes”, Streamlines • Iso-Surfaces, Volume Rendering • Color-Mapped Scalar-Valued Surfaces • Binary Image-Mapped Surfaces
5. Build the digital scene, Develop the Story • Plan the Shots [Storyboard] • Select camera position • Work on the Story-Telling • Iterate with the scientific and outreach groups • Develop the communication toward popular understanding of the science.
6. Rendering and final editing • Inter-cut elements from different visualization software sources • Two-Dimensional Compositing and Effects • Add titles, narration, additional explanatory elements
Future WorkScientific Visualization • Discovery-to-Vision -- Weak Link • Put the Story ahead of the Data • The Data serves the Story • Not the other way around Create the Story Development methodology for communicating about climate and the weather