Reference:Reference-026045: Difference between revisions
From CSDMS
m Text replacement - " |CorpusID=" to " |CorpusID=" |
Tag: Undo |
||
| Line 16: | Line 16: | ||
|PublicationClusterID=0 | |PublicationClusterID=0 | ||
|MS_PublicationClusterID=0 | |MS_PublicationClusterID=0 | ||
|Semantic_ID=58276224bf32727aadfa326a6071b1c1f05cd0e4 | |Semantic_ID=58276224bf32727aadfa326a6071b1c1f05cd0e4 |CorpusID=270672699 | ||
|CorpusID=270672699 | |||
|PublicationWhatKindOf=a module application description | |PublicationWhatKindOf=a module application description | ||
|PublicationNrofModels=a single module | |PublicationNrofModels=a single module | ||
Revision as of 16:01, 6 October 2024
| Author(s) | Haji-Aghajany, Saeid; Rohm, Witold; Kryza, Maciej; Smolak, Kamil; |
| BibType | journalArticle |
| Title | Machine Learning-Based Wet Refractivity Prediction Through GNSS Troposphere Tomography for Ensemble Troposphere Conditions Forecasting |
| Editors | |
| Year | 2024 |
| Journal | IEEE Transactions on Geoscience and Remote Sensing |
| Booktitle | None |
| Volume | 62 |
| Pages | 1–18 |
| URL | https://ieeexplore.ieee.org/document/10568161/ |
| DOI | 10.1109/TGRS.2024.3417487 |
| ISBN | |
| Note | Auto downloaded ref at: 2024-09-04
|
| |
|
| Feature reference | No |
| PublicationClusterID | 0 |
| MS_PublicationClusterID | 0 |
| Semantic_ID | 58276224bf32727aadfa326a6071b1c1f05cd0e4 |
| Nr of citations | 0 |
| 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
|
