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Title: Web Enabled Collaborative Climate Visualization in the Earth System Grid

Abstract

The recent advances in high performance computing, storage and networking technologies have enabled fundamental changes in current climate research. While sharing datasets and results is already common practice in climate modeling, direct sharing of the analysis and visualization process is also becoming feasible. We report our efforts to develop a capability, coupled with the Earth System Grid (ESG), for sharing an entire executable workspace of visualization among collaborators. Evolutionary history of visualizations of research findings can also be captured and shared. The data intensive nature of the visualization system requires using several advanced techniques of visualization and parallel computing. With visualization clients implemented through standard web browsers, however, the ensuing complexity is made transparent to end-users. We demonstrate the efficacy of our system using cutting edge climate datasets.

Authors:
 [1];  [1];  [1];  [2];  [2]
  1. University of Tennessee, Knoxville (UTK)
  2. ORNL
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Computational Center for Industrial Innovation
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
947578
DOE Contract Number:
DE-AC05-00OR22725
Resource Type:
Conference
Resource Relation:
Conference: 2008 International Symposium on Collaborative Technologies and Systems (CTS 2008), Irvine, CA, USA, 20080519, 20080523
Country of Publication:
United States
Language:
English
Subject:
97; 54 ENVIRONMENTAL SCIENCES; CLIMATES; PERFORMANCE; COMPUTERIZED SIMULATION; COMPUTER GRAPHICS; PARALLEL PROCESSING; WEBSITES

Citation Formats

Kendall, Wesley, Glatter, Markus, Huang, Jian, Hoffman, Forrest M, and Bernholdt, David E. Web Enabled Collaborative Climate Visualization in the Earth System Grid. United States: N. p., 2008. Web.
Kendall, Wesley, Glatter, Markus, Huang, Jian, Hoffman, Forrest M, & Bernholdt, David E. Web Enabled Collaborative Climate Visualization in the Earth System Grid. United States.
Kendall, Wesley, Glatter, Markus, Huang, Jian, Hoffman, Forrest M, and Bernholdt, David E. 2008. "Web Enabled Collaborative Climate Visualization in the Earth System Grid". United States. doi:.
@article{osti_947578,
title = {Web Enabled Collaborative Climate Visualization in the Earth System Grid},
author = {Kendall, Wesley and Glatter, Markus and Huang, Jian and Hoffman, Forrest M and Bernholdt, David E},
abstractNote = {The recent advances in high performance computing, storage and networking technologies have enabled fundamental changes in current climate research. While sharing datasets and results is already common practice in climate modeling, direct sharing of the analysis and visualization process is also becoming feasible. We report our efforts to develop a capability, coupled with the Earth System Grid (ESG), for sharing an entire executable workspace of visualization among collaborators. Evolutionary history of visualizations of research findings can also be captured and shared. The data intensive nature of the visualization system requires using several advanced techniques of visualization and parallel computing. With visualization clients implemented through standard web browsers, however, the ensuing complexity is made transparent to end-users. We demonstrate the efficacy of our system using cutting edge climate datasets.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = 2008,
month = 1
}

Conference:
Other availability
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  • The climate and weather data science community gathered December 3–5, 2013, at Lawrence Livermore National Laboratory, in Livermore, California, for the third annual Earth System Grid Federation (ESGF) and Ultra-scale Visualization Climate Data Analysis Tools (UV-CDAT) Face-to-Face (F2F) Meeting, which was hosted by the Department of Energy, National Aeronautics and Space Administration, National Oceanic and Atmospheric Administration, the European Infrastructure for the European Network of Earth System Modelling, and the Australian Department of Education. Both ESGF and UV-CDAT are global collaborations designed to develop a new generation of open-source software infrastructure that provides distributed access and analysis to observed andmore » simulated data from the climate and weather communities. The tools and infrastructure developed under these international multi-agency collaborations are critical to understanding extreme weather conditions and long-term climate change, while the F2F meetings help to build a stronger climate and weather data science community and stronger federated software infrastructure. The 2013 F2F meeting determined requirements for existing and impending national and international community projects; enhancements needed for data distribution, analysis, and visualization infrastructure; and standards and resources needed for better collaborations.« less
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