View in EDS PDF Full Text

Identifying Low-Dimensional Nonlinear Behavior in Atmospheric Data.

Saved in:
Bibliographic Details
Title: Identifying Low-Dimensional Nonlinear Behavior in Atmospheric Data.
Authors: Patil, D. A. S., Hunt, Brian R., Carton, James A.
Source: Monthly Weather Review. Aug2001, Vol. 129 Issue 8, p2116. 10p. 1 Color Photograph, 2 Diagrams, 3 Graphs.
Subjects: Statistical maps, Atmosphere, Analytical chemistry
Abstract: Provides concrete applications of residual delay maps (RDM) for the analysis of atmospheric data. RDM formulation; Primary uses for RDM; Importance of the short-term predictive model used to calculate the RDM.
Database: Engineering Source
FullText Links:
  – Type: pdflink
Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 5324858
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Identifying Low-Dimensional Nonlinear Behavior in Atmospheric Data.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Patil%2C+D%2E+A%2E+S%2E%22">Patil, D. A. S.</searchLink><br /><searchLink fieldCode="AR" term="%22Hunt%2C+Brian+R%2E%22">Hunt, Brian R.</searchLink><br /><searchLink fieldCode="AR" term="%22Carton%2C+James+A%2E%22">Carton, James A.</searchLink>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Monthly+Weather+Review%22">Monthly Weather Review</searchLink>. Aug2001, Vol. 129 Issue 8, p2116. 10p. 1 Color Photograph, 2 Diagrams, 3 Graphs.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Statistical+maps%22">Statistical maps</searchLink><br /><searchLink fieldCode="DE" term="%22Atmosphere%22">Atmosphere</searchLink><br /><searchLink fieldCode="DE" term="%22Analytical+chemistry%22">Analytical chemistry</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Provides concrete applications of residual delay maps (RDM) for the analysis of atmospheric data. RDM formulation; Primary uses for RDM; Importance of the short-term predictive model used to calculate the RDM.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=5324858
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1175/1520-0493(2001)129<2116:ILDNBI>2.0.CO;2
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 10
        StartPage: 2116
    Subjects:
      – SubjectFull: Statistical maps
        Type: general
      – SubjectFull: Atmosphere
        Type: general
      – SubjectFull: Analytical chemistry
        Type: general
    Titles:
      – TitleFull: Identifying Low-Dimensional Nonlinear Behavior in Atmospheric Data.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Patil, D. A. S.
      – PersonEntity:
          Name:
            NameFull: Hunt, Brian R.
      – PersonEntity:
          Name:
            NameFull: Carton, James A.
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 08
              Text: Aug2001
              Type: published
              Y: 2001
          Identifiers:
            – Type: issn-print
              Value: 00270644
          Numbering:
            – Type: volume
              Value: 129
            – Type: issue
              Value: 8
          Titles:
            – TitleFull: Monthly Weather Review
              Type: main
ResultId 1