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video/mp4camp2ex_rf09_exposition_3840_6-23.mp4 (451MB)
Data Fusion Exposition Duration: 3 min 34 seconds Format: 3840x2160, 30 fpsMPEG-4 video

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video/mp4camp2ex_rf09_exposition_HD_6-23.mp4 (185MB)
Data Fusion Exposition Duration: 3 min 34 seconds Format: 1920x1080, 30 fpsMPEG-4 video

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video/mp4camp2ex_rf09_dashboard_speed60x_3840_6-23.mp4 (2GB)
Data Fusion Dashboard Duration: 8 min 29 seconds Format: 3840x2160, 30 fpsMPEG-4 video

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video/mp4camp2ex_rf09_3d_alt_speed60x_3840_6-24.mp4 (958MB)
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video/mp4camp2ex_rf09_3d_speed30x_3840_6-24.mp4 (1GB)
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video/mp4camp2ex_rf09_3d_speed60x_3840_6-24.mp4 (936MB)
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video/mp4camp2ex_rf09_dashboard_speed30x_3840_6-23.mp4 (2GB)
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Description

Title:NCSA data fusion visualization for NASA CAMP2Ex field campaign
Author(s):Di Girolamo, Larry; Cox, Donna; Patterson, Robert; Levy, Stuart; Borkiewicz, Kalina; Christensen, AJ; Carpenter, Jeffrey
Contributor(s):Hong, Yulan; Miller, Rose; Fu, Dongwei; Roy, Puja; Nesbitt, Steve; Rauber, Bob
Subject(s):CAMP2Ex
AVL
NASA
visualization
field campaign
scivis
atmospheric science
Geographic Coverage:Philippines
Abstract:Data collected by airplanes during field campaigns such as the Cloud and Aerosol Monsoonal Processes Philippines Experiment (CAMP2Ex) is extremely rich in information. There are multiple instruments taking various measurements, and flights are coordinated to overlap with satellite passes and with other data collection vessels. Unfortunately, this variety of data is collected in a variety of spatial scales, temporal scales, and data formats. Scientists are unable to view and correlate all of the data from a single flight simultaneously without tremendous effort, and this effort is often duplicated between science teams and between research flights. The National Center for Supercomputing Applications (NCSA) Advanced Visualization Lab (AVL) set out to prototype a visualization that fuses data from CAMP2Ex field campaign instruments, to ease the exploration of the data by scientists, to provide insights, ideas, and to highlight important features from aircraft, ground, and satellite data that the field campaign was targeting. The aim of this project was to help understand the effort needed to design and achieve the long-term goal to develop a new flight-campaign interactive software visualization system that draws data from multiple collaborative sensor nodes. The project was split into two phases: Phase 1 focused on developing a visualization treatment for the science community; Phase 2 focused on an exposition of the field campaign data as an educational product capable of reaching a broader audience.
Issue Date:2021-06-15
Genre:Other
Data
Type:Video
URI:http://hdl.handle.net/2142/110083
Sponsor:NASA AIST-QRS-20-0002
Rights Information:2021 University of Illinois Board of Trustees
Date Available in IDEALS:2021-06-24
2021-07-19


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