000008027 001__ 8027
000008027 005__ 20260225181100.0
000008027 037__ $$aCTALK-2026-0088
000008027 100__ $$aVerstringe, Freek
000008027 245__ $$aClose, But Not Quite: Harmonizing Solar Data
000008027 260__ $$c2026
000008027 269__ $$c2026-02-25
000008027 520__ $$aSpace weather forecasting depends on understanding a chain of related solar events—from the emergence and evolution of sunspots, to flare initiation, and onward to downstream impacts. Along this chain, information is drawn from a mix of human-assessed classifications and machine-derived measurements that describe similar phenomena but differ. These near-equivalent data sources are often treated independently potentially introducing inconsistencies adding friction in daily operations and in science use cases (traceability, reproducibility and validation). This talk examines how we harmonize human and machine-labeled solar data to better capture the event-driven progression underlying space weather. We discuss techniques for aligning datasets, reconciling subjective and objective representations, and preserving physical context across stages of the solar activity pipeline.  Examples from sunspot characterization and flare forecasting illustrate how integrated, harmonized data can improve end-to-end space-weather event chains and supports more reliable forecasts. We will conclude with some practical recommendations e.g. versioning, change tracking, persistent identifiers etc.
000008027 594__ $$aNO
000008027 6531_ $$aESA Workshop
000008027 773__ $$tESA Space Weather Service Network Workshop 2026
000008027 8560_ $$ffreek.verstringe@ksb-orb.be
000008027 85642 $$ahttps://indico.esa.int/event/604/sessions/2543/#20260205
000008027 906__ $$aContributed
000008027 980__ $$aCTALKCONT