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Add Q-Q analysis for extreme value evaluation #1674

@jehangirawan

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@jehangirawan

Summary

Add Quantile-Quantile (Q-Q) analysis for evaluating how well WeatherGenerator captures extreme values and distribution tails in high-resolution/downscaled fields.

Motivation

Coarse-resolution models smooth extremes via spatial averaging. High-resolution/downscaling should recover these extremes (e.g. heavy precipitation, wind gusts, temperature anomalies).
Q-Q analysis enables direct evaluation of distribution tails (90th–99.9th percentiles) between forecasts and observations.

Scope

Implement a Q-Q based evaluation metric for:

  • Heavy-tail validation
  • Extreme percentile comparison
  • Distributional consistency checks

Priority

Medium

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evalanything related to the model evaluation pipeline

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