Nonlinear principal component analysis of climate data Metadata

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Title

  • Main Title Nonlinear principal component analysis of climate data

Creator

  • Author: Boyle, J.
    Creator Type: Personal
  • Author: Sengupta, S.
    Creator Type: Personal

Contributor

  • Sponsor: United States. Department of Energy.
    Contributor Type: Organization
    Contributor Info: USDOE, Washington, DC (United States)

Publisher

  • Name: Lawrence Livermore National Laboratory
    Place of Publication: California
    Additional Info: Lawrence Livermore National Lab., CA (United States)

Date

  • Creation: 1995-06-01

Language

  • English

Description

  • Content Description: This paper presents the details of the nonlinear principal component analysis of climate data. Topic discussed include: connection with principal component analysis; network architecture; analysis of the standard routine (PRINC); and results.
  • Physical Description: 8 p.

Subject

  • Keyword: Geophysics
  • Keyword: Clouds
  • STI Subject Categories: 99 Mathematics, Computers, Information Science, Management, Law, Miscellaneous
  • Keyword: Climatic Change
  • Keyword: Spatial Distribution
  • STI Subject Categories: 54 Environmental Sciences
  • Keyword: Neural Networks
  • Keyword: Atmospheric Precipitations
  • Keyword: Design

Source

  • Conference: 6. international meeting on statistical climatology, Galway (Ireland), Jun 1995

Collection

  • Name: Office of Scientific & Technical Information Technical Reports
    Code: OSTI

Institution

  • Name: UNT Libraries Government Documents Department
    Code: UNTGD

Resource Type

  • Article

Format

  • Text

Identifier

  • Other: DE95017075
  • Report No.: UCRL-JC--121202
  • Report No.: CONF-9506191--4
  • Grant Number: W-7405-ENG-48
  • Office of Scientific & Technical Information Report Number: 106717
  • Archival Resource Key: ark:/67531/metadc618850

Note

  • Display Note: OSTI as DE95017075
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