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Skill scores for GEMS-aerosol

This resource discusses skill scores and correlation coefficients for GEMS aerosol properties, highlighting model performance challenges and evaluation metrics like linear fits, root mean square errors, and Taylor diagrams. It explores the use of figures of merit for testing transport in specific events, drawing on examples like ETEX.

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Skill scores for GEMS-aerosol

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  1. Skill scores for GEMS-aerosol Olivier Boucher GEMS - Kick-off meeting - 4-6 July 2005

  2. Skill scores - Correlation coefficients (observed vs simulated aerosol properties) - current models perform well on monthly means - challenge will be to get good correlation on daily means - Linear fits: slope, offset - Root-mean square errors - largely used in RAQ - Taylor diagrams - summarizes model performance in terms of correlation coefficient, standard deviation, and RMS. - Figures of merit - useful to test the transport for particular events - has been used for ETEX

  3. Skill scores - Figures of merit - useful to test the transport for particular events - has been used for ETEX Merit=blue area/green area Concentration AOD Obs Model Time

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