Imputation of missing sub-hourly precipitation data in a large sensor network: A machine learning approach

• Published in: Journal of hydrology (Amsterdam) Vol. 588; p. 125126
• Main Authors: Chivers, Benedict D., Wallbank, John, Cole, Steven J., Sebek, Ondrej, Stanley, Simon, Fry, Matthew, Leontidis, Georgios
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.09.2020
• Subjects: Data imputation; Environmental sensor networks; Gradient boosted trees; Machine learning; Precipitation; Soil moisture; Precipitation; Gradient boosted trees; Data imputation; Soil moisture; Machine learning; Environmental sensor networks

•Missing rain data at sub-hourly resolution is recovered using a two-step analysis.•Data are first modelled as rain/no rain, and subsequently regressed as true values.•Models are informed by related hydro-meteorological and precipitation data.•Machine learning analyses perform better than surface fi...