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Solar flare prediction studies have been recently conducted with the use ofSpace-Weather MDI (Michelson Doppler Imager onboard Solar and HeliosphericObservatory) Active Region Patches (SMARP) and Space-Weather HMI (Helioseismicand Magnetic Imager onboard Solar Dynamics Observatory) Active Region Patches(SHARP), which are two currently available data products containing magneticfield characteristics of solar active regions. The present work is an effort tocombine them into one data product, and perform some initial statisticalanalyses in order to further expand their application in space weatherforecasting. The combined data are derived by filtering, rescaling, and mergingthe SMARP with SHARP parameters, which can then be spatially reduced to createuniform multivariate time series. The resulting combined MDI-HMI datasetcurrently spans the period between April 4, 1996, and December 13, 2022, andmay be extended to a more recent date. This provides an opportunity tocorrelate and compare it with other space weather time series, such as thedaily solar flare index or the statistical properties of the soft X-ray fluxmeasured by the Geostationary Operational Environmental Satellites (GOES).Time-lagged cross-correlation indicates that a relationship may exist, wheresome magnetic field properties of active regions lead the flare index in time.Applying the rolling window technique makes it possible to see how thisleader-follower dynamic varies with time. Preliminary results indicate thatareas of high correlation generally correspond to increased flare activityduring the peak solar cycle.

Time Series of Magnetic Field Parameters of Merged MDI and HMI Space-Weather Active Region Patches as Potential Tool for Solar Flare Forecasting