Designing a provenance-based climate data analysis application

Emanuele Santos, David Koop, Thomas Maxwell, Charles Doutriaux, Tommy Ellqvist, Gerald Potter, Juliana Freire, Dean Williams, Cláudio T. Silva

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Climate scientists have made substantial progress in understanding Earth's climate system, particularly at global and continental scales. Climate research is now focused on understanding climate changes over wider ranges of time and space scales. These efforts are generating ultra-scale data sets at very high spatial resolution. An insightful analysis in climate science depends on using software tools to discover, access, manipulate, and visualize the data sets of interest. These data exploration tasks can be complex and time-consuming, and they frequently involve many resources from both the modeling and observational climate communities. Because of the complexity of the explorations, provenance is critical, allowing scientists to ensure reproducibility, revisit existing computational pipelines, and more easily share analyses and results. In addition, as the results of this work can impact policy, having provenance available is important for decision-making. In this paper we describe, UV-CDAT, a workflow-based, provenance-enabled system that integrates climate data analysis libraries and visualization tools in an end-to-end application, making it easier for scientists to integrate and use a wide array of tools.

Original languageEnglish (US)
Title of host publicationProvenance and Annotation of Data and Processes - 4th International Provenance and Annotation Workshop, IPAW 2012, Revised Selected Papers
Pages214-219
Number of pages6
DOIs
StatePublished - Nov 7 2012
Event4th International Provenance and Annotation Workshop, IPAW 2012 - Santa Barbara, CA, United States
Duration: Jun 19 2012Jun 21 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7525 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other4th International Provenance and Annotation Workshop, IPAW 2012
CountryUnited States
CitySanta Barbara, CA
Period6/19/126/21/12

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ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Santos, E., Koop, D., Maxwell, T., Doutriaux, C., Ellqvist, T., Potter, G., Freire, J., Williams, D., & Silva, C. T. (2012). Designing a provenance-based climate data analysis application. In Provenance and Annotation of Data and Processes - 4th International Provenance and Annotation Workshop, IPAW 2012, Revised Selected Papers (pp. 214-219). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7525 LNCS). https://doi.org/10.1007/978-3-642-34222-6_18