Research > Metrics > DCPP

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Decadal Climate Prediction Project (DCPP)

(PROTOTYPE) Summary statistics in Interactive Portrait Plot

This page provides prediction skill score analysis for simulations from Decadal Climate Prediction Project (DCPP) as documented in Choi et al. (2026, in prep).

• Mean Bias (Figures 1 and 2 of Choi et al. 2026):
  • Near-surface temperature
  • Precipitation
  • Arctic sea ice
  • Antarctic sea ice
• Trend Bias (Figures 5 and 6 of Choi et al. 2026):
  • Near-surface temperature
  • Precipitation
  • Arctic sea ice
  • Antarctic sea ice
• Skill Score of Near-surface temperature (TAS) (Figure 9 of Choi et al. 2026)
  • Anomaly correlation coefficient (ACC)
  • Mean squared skill score (MSSS)
  • Ratio of predictable components (RPC)

NOTE: Supported browsers for the Interactive Portrait Plots are Chrome, Firefox, Safari, and Microsoft Edge. Microsoft Internet Explorer is no longer supported.

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References

Choi, J., Lee, J., Chang, K., Ullrich, P., Gleckler, P., and Jun, S.-Y. (2026, in prep), A framework for benchmarking decadal predictions leveraging the PCMDI Metric Package with interactive visualization.

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