Querying for feature extraction and visualization in climate modeling

C. Ryan Johnson; Markus Glatter; Wesley Kendall; Jian Huang; Forrest Hoffman

doi:10.1007/978-3-642-01973-9_46

Querying for feature extraction and visualization in climate modeling

C. Ryan Johnson, Markus Glatter, Wesley Kendall, Jian Huang, Forrest Hoffman

Computational Earth Sciences Group

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

Abstract

The ultimate goal of data visualization is to clearly portray features relevant to the problem being studied. This goal can be realized only if users can effectively communicate to the visualization software what features are of interest. To this end, we describe in this paper two query languages used by scientists to locate and visually emphasize relevant data in both space and time. These languages offer descriptive feedback and interactive refinement of query parameters, which are essential in any framework supporting queries of arbitrary complexity. We apply these languages to extract features of interest from climate model results and describe how they support rapid feature extraction from large datasets.

Original language	English
Title of host publication	Computational Science - ICCS 2009 - 9th International Conference, Proceedings
Pages	416-425
Number of pages	10
Edition	PART 2
DOIs	https://doi.org/10.1007/978-3-642-01973-9_46
State	Published - 2009
Event	9th International Conference on Computational Science, ICCS 2009 - Baton Rouge, LA, United States Duration: May 25 2009 → May 27 2009

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 2
Volume	5545 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	9th International Conference on Computational Science, ICCS 2009
Country/Territory	United States
City	Baton Rouge, LA
Period	05/25/09 → 05/27/09

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10.1007/978-3-642-01973-9_46

Cite this

Johnson, C. R., Glatter, M., Kendall, W., Huang, J., & Hoffman, F. (2009). Querying for feature extraction and visualization in climate modeling. In Computational Science - ICCS 2009 - 9th International Conference, Proceedings (PART 2 ed., pp. 416-425). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5545 LNCS, No. PART 2). https://doi.org/10.1007/978-3-642-01973-9_46

Johnson, C. Ryan ; Glatter, Markus ; Kendall, Wesley et al. / Querying for feature extraction and visualization in climate modeling. Computational Science - ICCS 2009 - 9th International Conference, Proceedings. PART 2. ed. 2009. pp. 416-425 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

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title = "Querying for feature extraction and visualization in climate modeling",

abstract = "The ultimate goal of data visualization is to clearly portray features relevant to the problem being studied. This goal can be realized only if users can effectively communicate to the visualization software what features are of interest. To this end, we describe in this paper two query languages used by scientists to locate and visually emphasize relevant data in both space and time. These languages offer descriptive feedback and interactive refinement of query parameters, which are essential in any framework supporting queries of arbitrary complexity. We apply these languages to extract features of interest from climate model results and describe how they support rapid feature extraction from large datasets.",

author = "Johnson, {C. Ryan} and Markus Glatter and Wesley Kendall and Jian Huang and Forrest Hoffman",

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Johnson, CR, Glatter, M, Kendall, W, Huang, J & Hoffman, F 2009, Querying for feature extraction and visualization in climate modeling. in Computational Science - ICCS 2009 - 9th International Conference, Proceedings. PART 2 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 5545 LNCS, pp. 416-425, 9th International Conference on Computational Science, ICCS 2009, Baton Rouge, LA, United States, 05/25/09. https://doi.org/10.1007/978-3-642-01973-9_46

Querying for feature extraction and visualization in climate modeling. / Johnson, C. Ryan; Glatter, Markus; Kendall, Wesley et al.
Computational Science - ICCS 2009 - 9th International Conference, Proceedings. PART 2. ed. 2009. p. 416-425 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5545 LNCS, No. PART 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Johnson CR, Glatter M, Kendall W, Huang J, Hoffman F. Querying for feature extraction and visualization in climate modeling. In Computational Science - ICCS 2009 - 9th International Conference, Proceedings. PART 2 ed. 2009. p. 416-425. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). doi: 10.1007/978-3-642-01973-9_46

Querying for feature extraction and visualization in climate modeling

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