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

no code implementations • 30 Mar 2020 • Benedict Delahaye Chivers, John Wallbank, Steven J. Cole, Ondrej Sebek, Simon Stanley, Matthew Fry, Georgios Leontidis

Precipitation data collected at sub-hourly resolution represents specific challenges for missing data recovery by being largely stochastic in nature and highly unbalanced in the duration of rain vs non-rain.

BIG-bench Machine Learning Imputation