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%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
}