University of Illinois Urbana-Champaign

NCSA data fusion visualization for NASA CAMP2Ex field campaign

Di Girolamo, Larry; Cox, Donna; Patterson, Robert; Levy, Stuart; Borkiewicz, Kalina; Christensen, AJ; Carpenter, Jeffrey

Permalink

https://hdl.handle.net/2142/110083

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
Issue Date
2021-06-15
Keyword(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.
Type of Resource
moving image
Permalink
http://hdl.handle.net/2142/110083
Sponsor(s)/Grant Number(s)
NASA AIST-QRS-20-0002
Copyright and License Information
2021 University of Illinois Board of Trustees

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