Missing data imputation of high‐resolution temporal climate time series data
Abstract 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. Rese...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Wiley
2020-01-01
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Series: | Meteorological Applications |
Subjects: | |
Online Access: | https://doi.org/10.1002/met.1873 |