@article{59169c8e90f549e3bda04f45af28855e,
title = "Spatiotemporal lagging of predictors improves machine learning estimates of atmosphere–forest CO2 exchange",
keywords = "Eddy covariance fluxes, Carbon fluxes, Scots pine, Photosynthesis, Temperature, Uncertainty, Sites, 1171 Geosciences, 114 Physical sciences",
author = "Matti Kamarainen and Juha-Pekka Tuovinen and Markku Kulmala and Ivan Mammarella and Juha Aalto and Henriikka Vekuri and Annalea Lohila and Anna Lintunen",
year = "2023",
month = mar,
day = "2",
doi = "10.5194/bg-20-897-2023",
language = "English",
volume = "20",
pages = "897--909",
journal = "Biogeosciences",
issn = "1726-4170",
publisher = "Copernicus GMBH ",
number = "4",
}