Regression-based gap-filling methods show air temperature reductions and wind pattern changes during the 2019 total eclipse in Chile.

Singular disruptive events like solar eclipses affect the measured values of meteorological variables at the earth's surface. To quantify such an impact, it is necessary to estimate what value the parameter would have taken had the event not occurred. We design and compare several methods to perform such an estimate based on longer observational timeseries from individual meteorological surface stations.