Reference:Reference-014667
From CSDMS
| Name | Kim, Taereem |
| Name | Yang, Tiantian |
| Name | Gao, Shang |
| Name | Zhang, Lujun |
| Name | Ding, Ziyu |
| Name | Wen, Xin |
| Name | Gourley, Jonathan J. |
| Name | Hong, Yang |
| Kind of article | journalArticle |
| Title | Can artificial intelligence and data-driven machine learning models match or even replace process-driven hydrologic models for streamflow simulation?: A case study of four watersheds with different hydro-climatic regions across the CONUS |
| Publication title | Journal of Hydrology |
| Book title | |
| Journal Abbreviation | |
| Volume | 598 |
| Issue | |
| URL | https://linkinghub.elsevier.com/retrieve/pii/S0022169421004704 |
| DOI | 10.1016/j.jhydrol.2021.126423 |
| Page numbers | 126423 |
| Publication date | 2021-07 |
| Access date | 2025-06-17
|
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|
| Feature reference | No |
| PublicationClusterID | 0 |
| MS_PublicationClusterID | 3161929512 |
| Semantic_ID | {{{Semantic_ID}}} |
| Nr of citations | Template:SEM |
| 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: | CREST
|
