Evaluates standard CP, normalized CP, and conformalized quantile regression against ensemble spread and standard deviation for uncertainty in idealized data assimilation, and tests CP perturbations in the assimilation cycle.
and Bedka, Kristopher M
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
An XGBoost model reproduces convective cell frequency near cold fronts with high skill but underestimates counts at the surface front, depending most on CAPE and time of day.
citing papers explorer
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Uncertainty quantification via conformal prediction in data assimilation
Evaluates standard CP, normalized CP, and conformalized quantile regression against ensemble spread and standard deviation for uncertainty in idealized data assimilation, and tests CP perturbations in the assimilation cycle.
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Modelling convective cell occurrence in proximity to cold fronts using extreme gradient boosting
An XGBoost model reproduces convective cell frequency near cold fronts with high skill but underestimates counts at the surface front, depending most on CAPE and time of day.