Reference:Reference-015620: Difference between revisions
From CSDMS
m Text replacement - " |Semantic_ID" to " |Semantic_ID" |
m Text replacement - "|Semantic_ID=5d6b36482baec2981dab4ad0b543daea3a45fd56" to "|Semantic_ID=5d6b36482baec2981dab4ad0b543daea3a45fd56 |CorpusID=239544848" |
||
| Line 16: | Line 16: | ||
|PublicationClusterID=0 | |PublicationClusterID=0 | ||
|MS_PublicationClusterID=3206247424 | |MS_PublicationClusterID=3206247424 | ||
|Semantic_ID=5d6b36482baec2981dab4ad0b543daea3a45fd56 | |Semantic_ID=5d6b36482baec2981dab4ad0b543daea3a45fd56 |CorpusID=239544848 | ||
|PublicationWhatKindOf=a module application description | |PublicationWhatKindOf=a module application description | ||
|PublicationNrofModels=a single module | |PublicationNrofModels=a single module | ||
Revision as of 19:39, 30 September 2024
| Author(s) | Feng Chang, Christina; Garcia, Valerie; Tang, Chunling; Vlahos, Penny; Wanik, David; Yan, Jun; Bash, Jesse O.; Astitha, Marina; |
| BibType | journalArticle |
| Title | Linking multi-media modeling with machine learning to assess and predict lake chlorophyll a concentrations |
| Editors | |
| Year | 2021-12 |
| Journal | Journal of Great Lakes Research |
| Booktitle | |
| Volume | 47 |
| Pages | 1656–1670 |
| URL | https://linkinghub.elsevier.com/retrieve/pii/S0380133021002136 |
| DOI | 10.1016/j.jglr.2021.09.011 |
| ISBN | |
| Note | Auto downloaded ref at: 2022-01-02
|
| |
|
| Feature reference | No |
| PublicationClusterID | 0 |
| MS_PublicationClusterID | 3206247424 |
| Semantic_ID | 5d6b36482baec2981dab4ad0b543daea3a45fd56 |
| Nr of citations | 3 |
| 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: | VIC
|
