yingkaisha / fcstpp

A scalable toolbox for ensemble forecast post-processing and verification.

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Ensemble forecast post-processing (fcstpp)

A scalable toolbox for ensemble forecast post-processing and verification.

fcstpp.gridpp Usage Reference
schaake_shuffle Ensemble member shuffling based on given trajectories. Clark et al. (2004)
quantile_mapping_stencil Quantile mapping with stencil grid points. Hamill et al. (2017)
bootstrap_fill Create "pseudo" ensembles from bootstrapping.
fcstpp.metrics Usage Reference
CRPS_1d CRPS and its two-term decomposition for 1-d ensembles. Grimit et al. (2006)
CRPS_1d_nan Similar to CRPS_1d but ignores np.nan elements. Grimit et al. (2006)
CRPS_2d CRPS and its two-term decompositions for 2-d ensembles. Grimit et al. (2006)
CRPS_1d_from_quantiles Compute CRPS from quantile values.
BS_binary_1d Brier Score for 1-d ensembles. Hamill and Juras (2006)
BS_binary_1d_nan Similar to BS_binary_1d but ignores np.nan elements. Hamill and Juras (2006)
fcstpp.utils Usage Reference
score_bootstrap_1d Bootstrap the last dimension of an array.
window_slider_cycled_1d Searching cyclied indices within a sliding window.
climate_subdaily_prob Compute climatological probabilities from a time window.
facet Compute terrain facet from gridded elevation. Daly et al. (2002)

Contact

Yingkai (Kyle) Sha <yingkai@eoas.ubc.ca> <yingkaisha@gmail.com>

License

MIT License

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A scalable toolbox for ensemble forecast post-processing and verification.

License:MIT License


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Language:Python 100.0%