Reference:Reference-018739
From CSDMS
Publication information
| Author(s) | Cho, Kyeungwoo; Kim, Yeonjoo; |
| BibType | journalArticle |
| Title | Improving streamflow prediction in the WRF-Hydro model with LSTM networks |
| Year | 2022-02 |
| Journal | Journal of Hydrology |
| Volume | 605 |
| Pages | 127297 |
| URL | https://linkinghub.elsevier.com/retrieve/pii/S0022169421013470 |
| DOI | 10.1016/j.jhydrol.2021.127297 |
| Note | Auto downloaded ref at: 2022-02-21 |
Open Access
| Icon | Status | Best URL | Best PDF URL | License | Version | Last checked |
|---|---|---|---|---|---|---|
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hybrid | cc-by-nc-nd | publishedVersion | 2026-08-31 |
Download locations
| URL | Host | License | Version | |
|---|---|---|---|---|
| link | publisher | cc-by-nc-nd | publishedVersion |
Additional information
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| Highlighted paper on group site | No | |
| Highlight text | ||
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| Which groups | ||
| Feature reference | No | |
| Semantic_ID | 5d5bbfdd12bf66ce6644e104cbdb5129a0a403c9 | |
| Nr of citations | 238 | |
| 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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