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Rbased indices software

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R-code portable across all platforms (Unix, MS-Windows, MacOS), no need to make any change ... Developed in Linux at EC. User guide in English and Spanish ... – PowerPoint PPT presentation

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Title: Rbased indices software


1
R-based indices software
www.ec.gc.ca
Xuebin Zhang
2
Outline
  • Indices software
  • Why R
  • RClimDex, RHtest, FClimDex, FHtest, applications
  • Maintenance and updates
  • Future

3
ClimDex
  • Excel based
  • Developed by Byron Gleason at NCDC
  • Used at Caribbean Regional Climate Change
    Workshop (Jan. 2001)
  • Problem in percentile calculation
  • Limited by excel environment

4
Why R
  • Powerful computing environment for statistical
    analysis
  • Freely available
  • R-code portable across all platforms (Unix,
    MS-Windows, MacOS), no need to make any change
  • GUI and command line

5
The RClimDex
  • Simple GUI
  • Retain all ClimDex functions, in additon
  • Different formats (text of Excel) of input
  • Computes 27 ET indices
  • Text or Excel formats output
  • Indices and trends plots in PDF
  • Run most recent version from within R

6
The RClimDex
  • Developed in Linux at EC
  • User guide in English and Spanish
  • Used in all 5 workshops, in MS-Windos
  • Used by other individuals
  • Iran, China, Australia, and others
  • Technical support

7
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8
RHtest
  • Two-phase regression based (Wang 2003)
  • With or without reference series
  • GUI and command line
  • Easy to use with GUI
  • Call R function directly from command line
  • New methods being implemented
  • Consider auto-correlation
  • More accurate false alarm rate for two ends of
    series

9
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10
Mass calculation
  • RClimdex and RHtest
  • R functions available for R users
  • FORTRAN codes (FClimDex and FHtest)
  • HP, SGI, IBP, Absoft compilers
  • Cross checked with R codes

11
Future development
  • Limited resources
  • RHtest and FHtest updated regularly
  • RClimDex
  • Tailored for the workshops in a short notice
  • Need more detailed documentation
  • Can add new indices
  • Can improve depending on demands
  • Grouping indices
  • Store indices according to groups
  • Other demands
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