Reference:Reference-020501: Difference between revisions
From CSDMS
Created page with "{{CSDMS reference template cargo |DOIentry=10.1029/2022GL099511 }} {{RefsInt1 |FeatureRef=No |PublicationClusterID=0 |MS_PublicationClusterID=0 |Semantic_ID=a51161e344b7b53d0aa5474e33727cce46511b0c |PublicationWhatKindOf=a module application description |PublicationHPCCYesno=No |PublicationNrofModels=a single module }} {{RefsInt2 |PublicationMultipleModelsCargo=GeoClaw }} {{RefsInt3}}" |
m Text replacement - "None" to "" |
||
| (4 intermediate revisions by 2 users not shown) | |||
| Line 1: | Line 1: | ||
{{ | {{BibEntryCargo | ||
| | |Firstname=Rim, Donsub; Baraldi, Robert; Liu, Christopher M.; LeVeque, Randall J.; Terada, Kenjiro; | ||
|BibType=journalArticle | |||
|Title=Tsunami Early Warning From Global Navigation Satellite System Data Using Convolutional Neural Networks | |||
|Year=2022-10-28 | |||
|Journal=Geophysical Research Letters | |||
|Booktitle= | |||
|Volume=49 | |||
|Pages= | |||
|URL=https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2022GL099511 | |||
|DOI=10.1029/2022GL099511 | |||
|Note=Auto downloaded ref at: 2024-08-16 | |||
}} | }} | ||
{{RefsInt1 | {{RefsInt1 | ||
| Line 6: | Line 16: | ||
|PublicationClusterID=0 | |PublicationClusterID=0 | ||
|MS_PublicationClusterID=0 | |MS_PublicationClusterID=0 | ||
|Semantic_ID=a51161e344b7b53d0aa5474e33727cce46511b0c | |Semantic_ID=a51161e344b7b53d0aa5474e33727cce46511b0c |CorpusID=252982080 | ||
|PublicationWhatKindOf=a module application description | |PublicationWhatKindOf=a module application description | ||
|PublicationNrofModels=a single module | |||
|PublicationHPCCYesno=No | |PublicationHPCCYesno=No | ||
}} | }} | ||
{{RefsInt2 | {{RefsInt2 | ||
|PublicationMultipleModelsCargo=GeoClaw | |PublicationMultipleModelsCargo=GeoClaw | ||
}} | }} | ||
{{RefsInt3}} | {{RefsInt3 | ||
|PublicationAnimationsCargo= | |||
}} | |||
Latest revision as of 11:39, 12 November 2024
| Author(s) | Rim, Donsub; Baraldi, Robert; Liu, Christopher M.; LeVeque, Randall J.; Terada, Kenjiro; |
| BibType | journalArticle |
| Title | Tsunami Early Warning From Global Navigation Satellite System Data Using Convolutional Neural Networks |
| Editors | |
| Year | 2022-10-28 |
| Journal | Geophysical Research Letters |
| Booktitle | |
| Volume | 49 |
| Pages | |
| URL | https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2022GL099511 |
| DOI | 10.1029/2022GL099511 |
| ISBN | |
| Note | Auto downloaded ref at: 2024-08-16
|
| |
|
| Feature reference | No |
| PublicationClusterID | 0 |
| MS_PublicationClusterID | 0 |
| Semantic_ID | a51161e344b7b53d0aa5474e33727cce46511b0c |
| Nr of citations | 6 |
| 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: | GeoClaw
|
