Open AccessIntroducing Gradient Boosting as a universal gap filling tool for meteorological time series
Author(s) -
Philipp Körner,
Rico Kronenberg,
Sandra Genzel,
Christian Bernhofer
Publication year - 2018
Publication title -
meteorologische zeitschrift
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.684
H-Index - 58
eISSN - 1610-1227
pISSN - 0941-2948
DOI - 10.1127/metz/2018/0908
Subject(s) - boosting (machine learning) , meteorology , series (stratigraphy) , time series , gradient boosting , universal time , computer science , environmental science , climatology , geology , artificial intelligence , machine learning , physics , random forest , paleontology , astronomy