%0 Journal Article %1 zhi2021hydrometeorology %A Zhi, Wei %A Feng, Dapeng %A Tsai, Wen-Ping %A Sterle, Gary %A Harpold, Adrian %A Shen, Chaopeng %A Li, Li %D 2021 %I ACS Publications %J Environmental science & technology %K ecoapplication ecolstm ecomodelling econn %N 4 %P 2357--2368 %T From hydrometeorology to river water quality: can a deep learning model predict dissolved oxygen at the continental scale? %V 55

@article{zhi2021hydrometeorology, added-at = {2023-08-02T08:31:08.000+0200}, author = {Zhi, Wei and Feng, Dapeng and Tsai, Wen-Ping and Sterle, Gary and Harpold, Adrian and Shen, Chaopeng and Li, Li}, biburl = {https://www.bibsonomy.org/bibtex/2929373ba946fec7af9ab687399c6855d/jascal_panetzky}, interhash = {0cc8c5af93c1f9ab74f88b4379f84839}, intrahash = {929373ba946fec7af9ab687399c6855d}, journal = {Environmental science \& technology}, keywords = {ecoapplication ecolstm ecomodelling econn}, number = 4, pages = {2357--2368}, publisher = {ACS Publications}, timestamp = {2023-08-02T08:31:08.000+0200}, title = {From hydrometeorology to river water quality: can a deep learning model predict dissolved oxygen at the continental scale?}, volume = 55, year = 2021 }