Examples

• Statistical Downscaling and Bias-Adjustment
  • Simple Quantile Mapping
  • Grouping
  • Modular approach
    • First example : pr and frequency adaptation
    • Second example: tas and detrending
    • Third example : Multi-method protocol - Hnilica et al. 2017
    • Fourth example : Multivariate bias-adjustment (Cannon, 2018)
      • Perform the multivariate adjustment (MBCn).
      • Let’s trigger all the computations.
    • Fifth example : Dynamical Optimal Transport Correction - Robin et al. 2019
    • Sixth example : Pooling multiple members together for quantile mapping
• Advanced tools
  • Optimization with dask
  • LOESS smoothing and detrending
    • LOESS Detrending
  • Initializing an Adjustment object from a training dataset
  • Retrieving extra output diagnostics
  • Moving window for adjustments
  • Full example: Multivariate adjustment in the additive space
    • 1. Jitter, additive space transformation and variable stacking
    • 2. Get residuals and trends
    • 3. Adjustments
    • 4. Re-trend and transform back to the physical space
  • Frequency adaption with a rolling window
  • Tests for sdba
• Spectral variance
  • DCT filter
  • Filter extremes in DQM