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Missing data imputation of high‐resolution temporal climate time series data
2020
Meteorological Applications
Analysis of high-resolution data offers greater opportunity to understand the nature of data variability, behaviours, trends and to detect small changes. Climate studies often require complete time series data which, in the presence of missing data, means imputation must be undertaken. Research on the imputation of high-resolution temporal climate time series data is still at an early phase. In this study, multiple approaches to the imputation of missing values were evaluated, including a
doi:10.1002/met.1873
fatcat:lhljazrsibax3omiqe7huywzdm