The Diagnostic Package for Climate Variability by the NOAA Modeling - - PowerPoint PPT Presentation

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The Diagnostic Package for Climate Variability by the NOAA Modeling - - PowerPoint PPT Presentation

The Diagnostic Package for Climate Variability by the NOAA Modeling Task Force Jack Chen 1 , Yi-Hung Kuo 2 , Andrew Gettelman 1 , David Neelin 2 , Eric Maloney 3 , Yi Ming 4 1 NCAR 2 UCLA 3 Colorado State University 4 GFDL 1 AMS Annual Meeting


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The Diagnostic Package for Climate Variability by the NOAA Modeling Task Force

Jack Chen1, Yi-Hung Kuo2, Andrew Gettelman1, David Neelin2, Eric Maloney3, Yi Ming4

1 NCAR 2 UCLA 3 Colorado State University 4 GFDL

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model diagnostics task force diagnostic package

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  • open source software (python)
  • community tool for diagnosis of model performance
  • works across different climate models (facilitate model

intercomparison)

  • main focus on climate variabilities (high-frequency output)
  • modular coding with high flexibility
  • produces an html file for easy web browsing
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two examples

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top level html lists all diagnostics which have been run only a link for each diagnostic is provided

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EOF of height at 500 hPa (CAM5)

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CAM5

  • N. Atlantic

CAM5

  • N. Pacific

NCEP

  • N. Atlantic

NCEP

  • N. Pacific
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diurnal cycle of precipitation (CAM5)

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DJF JJA

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diurnal cycle of precipitation (JJA) (CAM5)

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CAM5 TRMM

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diurnal cycle of precipitation (JJA) (CAM5)

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CAM5 TRMM

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convection onset diagnostics (CAM5)

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convection onset diagnostics (CAM5 vs reanalysis)

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Wheeler-Kiladis wave-spectra (CAM6)

CAM6, U200 CAM6, PRECT NCEP, U200 TRMM, PRECT

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MJO diagnostics (CAM6)

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CAM6 TRMM

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MJO diagnostics (CAM6)

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CAM6 ERA

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MJO diagnostics (CAM6)

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CAM6 ERA

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Summary

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  • Goal of this project is to create a user-friendly diagnostic

package for diagnosis for climate variabilities of model simulations, using open source software.

  • A preliminary version of the diagnostic package has been

released to the task force in Nov 2017. Additional diagnostics are being implemented.

  • We expect the diagnostic package to be released to the

public later this year.