Variants of spatial interpolation and data‐driven methods to fill gaps in daily precipitation records are developed and evaluated in this study. The evaluated methods include variations of inverse distance and correlation weighting procedures, linear weight optimization and artificial neural networks. An already existing method, support vector logistic regression‐based copula, is also assessed. Optimal weights are estimated us...