Reference:Reference-018739: Difference between revisions

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|Firstname=Cho, Kyeungwoo; Kim, Yeonjoo;
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|Title=Improving streamflow prediction in the WRF-Hydro model with LSTM networks
|Year=2022-02
|Journal=Journal of Hydrology
|Booktitle=
|Volume=605
|Pages=127297
|URL=https://linkinghub.elsevier.com/retrieve/pii/S0022169421013470
|DOI=10.1016/j.jhydrol.2021.127297
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Latest revision as of 12:49, 21 February 2022



Author(s) Cho, Kyeungwoo; Kim, Yeonjoo;
BibType journalArticle
Title Improving streamflow prediction in the WRF-Hydro model with LSTM networks
Editors
Year 2022-02
Journal Journal of Hydrology
Booktitle
Volume 605
Pages 127297
URL https://linkinghub.elsevier.com/retrieve/pii/S0022169421013470
DOI 10.1016/j.jhydrol.2021.127297
ISBN
Note Auto downloaded ref at: 2022-02-21


 
Feature reference No
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MS_PublicationClusterID 0
Semantic_ID 5d5bbfdd12bf66ce6644e104cbdb5129a0a403c9
Nr of citations 14
Sort of publication a module application description
Sort of model publication a single module
Is the CSDMS HPC used No
If HPC is used, for what project was it?:
Associated simulation movie if any:


Model(s) discussed: WRF-Hydro