Comparing machine learning algorithms for imputation of missing time series in meteorological data

This publication has 37 references indexed in Scilit:

• NMVI: A data-splitting based imputation technique for distinct types of missing data
  Chemometrics and Intelligent Laboratory Systems, 2022
• Missing data imputation of high‐resolution temporal climate time series data
  Meteorological Applications, 2020
• Variability and accuracy of Zenith Total Delay over the East African tropical region
  Advances In Space Research, 2019
• Measurement accuracy of weighing and tipping-bucket rainfall intensity gauges under dynamic laboratory testing
  Atmospheric Research, 2014
• Modeling the variability of solar radiation data among weather stations by means of principal components analysis
  Applied Energy, 2011
• Multiple imputation by chained equations: what is it and how does it work?
  International Journal of Methods in Psychiatric Research, 2011
• Evaluating uncertainty introduced to process-based simulation model estimates by alternative sources of meteorological data
  Agricultural Systems, 2006
• A Guide to Automated Weather Station Networks in North America
  1996
• Accuracy measures: theoretical and practical concerns
  International Journal of Forecasting, 1993
• A logical calculus of the ideas immanent in nervous activity
  Bulletin of Mathematical Biology, 1943