Reference:Reference-026163: Difference between revisions
From CSDMS
m Text replacement - "|Semantic_ID=5c8096c008f0c1c27612f11acf7f594cd65f6560" to "|Semantic_ID=5c8096c008f0c1c27612f11acf7f594cd65f6560 |CorpusID=252976550" |
m Text replacement - " |CorpusID=" to " |CorpusID=" |
||
| Line 16: | Line 16: | ||
|PublicationClusterID=0 | |PublicationClusterID=0 | ||
|MS_PublicationClusterID=0 | |MS_PublicationClusterID=0 | ||
|Semantic_ID=5c8096c008f0c1c27612f11acf7f594cd65f6560 |CorpusID=252976550 | |Semantic_ID=5c8096c008f0c1c27612f11acf7f594cd65f6560 | ||
|CorpusID=252976550 | |||
|PublicationWhatKindOf=a module application description | |PublicationWhatKindOf=a module application description | ||
|PublicationNrofModels=a single module | |PublicationNrofModels=a single module | ||
Revision as of 10:23, 1 October 2024
| Author(s) | Ko, Kabseok; Cho, Seokheon; Rao, Ramesh R.; |
| BibType | journalArticle |
| Title | Machine-Learning-Based Near-Surface Ozone Forecasting Model with Planetary Boundary Layer Information |
| Editors | |
| Year | 2022-10-16 |
| Journal | Sensors |
| Booktitle | None |
| Volume | 22 |
| Pages | 7864 |
| URL | https://www.mdpi.com/1424-8220/22/20/7864 |
| DOI | 10.3390/s22207864 |
| ISBN | |
| Note | Auto downloaded ref at: 2024-09-05
|
| |
|
| Feature reference | No |
| PublicationClusterID | 0 |
| MS_PublicationClusterID | 0 |
| Semantic_ID | 5c8096c008f0c1c27612f11acf7f594cd65f6560 |
| 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: | WRF
|
