Reference:Reference-025812: Difference between revisions
From CSDMS
Created page with "{{CSDMS reference template cargo |DOIentry=10.5194/gmd-15-2133-2022 }} {{RefsInt1 |FeatureRef=No |PublicationClusterID=0 |MS_PublicationClusterID=0 |Semantic_ID=4f98213fc81804c1b18224c0f5feb516fe871f12 |PublicationWhatKindOf=a module application description |PublicationHPCCYesno=No |PublicationNrofModels=a single module }} {{RefsInt2 |PublicationMultipleModelsCargo=WRF }} {{RefsInt3}}" |
Bot: Automated import of articles *** existing text overwritten *** |
||
Line 1: | Line 1: | ||
{{ | {{BibEntryCargo | ||
| | |Firstname=Baki, Harish; Chinta, Sandeep; Srinivasan, Balaji; | ||
|BibType=journalArticle | |||
|Title=Determining the sensitive parameters of the Weather Research and Forecasting (WRF) model for the simulation of tropical cyclones in the Bay of Bengal using global sensitivity analysis and machine learning | |||
|Year=2022-03-15 | |||
|Journal=Geoscientific Model Development | |||
|Booktitle=None | |||
|Volume=15 | |||
|Pages=2133–2155 | |||
|URL=https://gmd.copernicus.org/articles/15/2133/2022/ | |||
|DOI=10.5194/gmd-15-2133-2022 | |||
|Note=Auto downloaded ref at: 2024-09-04 | |||
}} | }} | ||
{{RefsInt1 | {{RefsInt1 | ||
Line 8: | Line 18: | ||
|Semantic_ID=4f98213fc81804c1b18224c0f5feb516fe871f12 | |Semantic_ID=4f98213fc81804c1b18224c0f5feb516fe871f12 | ||
|PublicationWhatKindOf=a module application description | |PublicationWhatKindOf=a module application description | ||
|PublicationNrofModels=a single module | |||
|PublicationHPCCYesno=No | |PublicationHPCCYesno=No | ||
}} | }} | ||
{{RefsInt2 | {{RefsInt2 | ||
|PublicationMultipleModelsCargo=WRF | |PublicationMultipleModelsCargo=WRF | ||
}} | }} | ||
{{RefsInt3}} | {{RefsInt3 | ||
|PublicationAnimationsCargo=None | |||
}} |
Revision as of 16:46, 5 September 2024
Author(s) | Baki, Harish; Chinta, Sandeep; Srinivasan, Balaji; |
BibType | journalArticle |
Title | Determining the sensitive parameters of the Weather Research and Forecasting (WRF) model for the simulation of tropical cyclones in the Bay of Bengal using global sensitivity analysis and machine learning |
Editors | |
Year | 2022-03-15 |
Journal | Geoscientific Model Development |
Booktitle | None |
Volume | 15 |
Pages | 2133–2155 |
URL | https://gmd.copernicus.org/articles/15/2133/2022/ |
DOI | 10.5194/gmd-15-2133-2022 |
ISBN | |
Note | Auto downloaded ref at: 2024-09-04
|
|
|
Feature reference | No |
PublicationClusterID | 0 |
MS_PublicationClusterID | 0 |
Semantic_ID | 4f98213fc81804c1b18224c0f5feb516fe871f12 |
Nr of citations | 15 |
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
|