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
Volume7525 LNCS
DOIs
StatePublished - 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)03029743
ISSN (Electronic)16113349

Other

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

Fingerprint

Provenance
Climate
Data analysis
Climate change
Visualization
Pipelines
Decision making
Earth (planet)
Integrate
Reproducibility
Climate Change
Software Tools
Spatial Resolution
Work Flow
Time Scales
High Resolution
Decision Making
Resources
Modeling
Range of data

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Santos, E., Koop, D., Maxwell, T., Doutriaux, C., Ellqvist, T., Potter, G., ... 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 (Vol. 7525 LNCS, 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

Designing a provenance-based climate data analysis application. / Santos, Emanuele; Koop, David; Maxwell, Thomas; Doutriaux, Charles; Ellqvist, Tommy; Potter, Gerald; Freire, Juliana; Williams, Dean; Silva, Cláudio T.

Provenance and Annotation of Data and Processes - 4th International Provenance and Annotation Workshop, IPAW 2012, Revised Selected Papers. Vol. 7525 LNCS 2012. p. 214-219 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7525 LNCS).

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

Santos, E, Koop, D, Maxwell, T, Doutriaux, C, Ellqvist, T, Potter, G, Freire, J, Williams, D & Silva, CT 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. vol. 7525 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7525 LNCS, pp. 214-219, 4th International Provenance and Annotation Workshop, IPAW 2012, Santa Barbara, CA, United States, 6/19/12. https://doi.org/10.1007/978-3-642-34222-6_18
Santos E, Koop D, Maxwell T, Doutriaux C, Ellqvist T, Potter G et al. 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. Vol. 7525 LNCS. 2012. p. 214-219. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-34222-6_18
Santos, Emanuele ; Koop, David ; Maxwell, Thomas ; Doutriaux, Charles ; Ellqvist, Tommy ; Potter, Gerald ; Freire, Juliana ; Williams, Dean ; Silva, Cláudio T. / Designing a provenance-based climate data analysis application. Provenance and Annotation of Data and Processes - 4th International Provenance and Annotation Workshop, IPAW 2012, Revised Selected Papers. Vol. 7525 LNCS 2012. pp. 214-219 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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