The polar precursor method for solar cycle prediction: comparison of predictors and their temporal range
Pawan Kumar, Melinda Nagy, Alexandre Lemerle, Bidya Binay Karak, and, Kristof Petrovay

TL;DR
This study evaluates the polar precursor method for solar cycle prediction, analyzing various predictors and their effective temporal range, and demonstrates its improved predictive capability up to 4 years before solar minimum.
Contribution
The paper provides an extensive performance analysis of polar predictors using observational data and dynamo models, extending the usable prediction window to 4 years prior to solar minimum.
Findings
Predictors become reliable 4 years after polar field reversal.
Correlation with cycle amplitude increases to r ≥ 0.9 at solar minimum.
Predicted Cycle 25 amplitude as 126 ± 3 based on 2019 data.
Abstract
The polar precursor method is widely considered to be the most robust physically motivated method to predict the amplitude of an upcoming solar cycle.It uses indicators of the magnetic field concentrated near the poles around sunspot minimum. Here, we present an extensive performance analysis of various such predictors, based on both observational data (WSO magnetograms, MWO polar faculae counts and Pulkovo index) and outputs (polar cap magnetic flux and global dipole moment) of various existing flux transport dynamo models.We calculate Pearson correlation coefficients () of the predictors with the next cycle amplitude as a function of time measured from several solar cycle landmarks: setting as a lower limit for acceptable predictions, we find that observations and models alike indicate that the earliest time when the polar predictor can be safely used is 4 years…
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