Evaluation of statistical methods for infilling missing values in high-resolution soil moisture data

Continuous time series of soil moisture data are important for water resource applications including streamflow predictions and weather forecasting. In practice, most soil moisture data have missing values which require infilling to generate complete datasets. This study investigates six methods for infilling missing values for high resolution soil moisture data. This includes multiple linear regression (MLR), weighted Pearson correlation …