%0 Journal Article %1 Novitasari2024 %A Novitasari, Maria Carolina %A Quaas, Johannes %A Rodrigues, Miguel R. D. %D 2024 %I Cambridge University Press (CUP) %J Environmental Data Science %K autoconversion forecasting learning machine rates satellite %R 10.1017/eds.2024.24 %T Cloudy with a chance of precision: satellite’s autoconversion rates forecasting powered by machine learning %U http://dx.doi.org/10.1017/eds.2024.24 %V 3

@article{Novitasari2024, added-at = {2024-12-10T17:50:54.000+0100}, author = {Novitasari, Maria Carolina and Quaas, Johannes and Rodrigues, Miguel R. D.}, biburl = {https://puma.scadsai.uni-leipzig.de/bibtex/2cb5240b963ea8d6ef0253e6310eaa446/scadsfct}, doi = {10.1017/eds.2024.24}, interhash = {af139c6c11ca615fdc9aa1f94ff428e4}, intrahash = {cb5240b963ea8d6ef0253e6310eaa446}, issn = {2634-4602}, journal = {Environmental Data Science}, keywords = {autoconversion forecasting learning machine rates satellite}, publisher = {Cambridge University Press (CUP)}, timestamp = {2024-12-10T17:50:54.000+0100}, title = {Cloudy with a chance of precision: satellite’s autoconversion rates forecasting powered by machine learning}, url = {http://dx.doi.org/10.1017/eds.2024.24}, volume = 3, year = 2024 }