Reference:Reference-018739
From CSDMS
| Name | Cho, Kyeungwoo |
| Name | Kim, Yeonjoo |
| Kind of article | journalArticle |
| Title | Improving streamflow prediction in the WRF-Hydro model with LSTM networks |
| Publication title | Journal of Hydrology |
| Book title | |
| Journal Abbreviation | |
| Volume | 605 |
| Issue | |
| URL | https://linkinghub.elsevier.com/retrieve/pii/S0022169421013470 |
| DOI | 10.1016/j.jhydrol.2021.127297 |
| Page numbers | 127297 |
| Publication date | 2022-02 |
| Access date | 2024-04-28
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| Feature reference | No |
| PublicationClusterID | 0 |
| 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: |
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| Model(s) discussed: | WRF-Hydro
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