Reference:Reference-031209: Difference between revisions

From CSDMS
m Text replacement - " |CorpusID=" to " |CorpusID="
m Text replacement - "None" to ""
 
(One intermediate revision by one other user not shown)
Line 4: Line 4:
|Title=Day-Ahead Forecasting for the Tropics with Numerical Weather Prediction and Machine Learning
|Title=Day-Ahead Forecasting for the Tropics with Numerical Weather Prediction and Machine Learning
|Year=2022-12-11
|Year=2022-12-11
|Journal=None
|Journal=
|Booktitle=None
|Booktitle=
|Volume=None
|Volume=
|Pages=125–130
|Pages=125–130
|URL=https://ieeexplore.ieee.org/document/10004290/
|URL=https://ieeexplore.ieee.org/document/10004290/
Line 16: Line 16:
|PublicationClusterID=0
|PublicationClusterID=0
|MS_PublicationClusterID=0
|MS_PublicationClusterID=0
|Semantic_ID=c38e005c4b99ec480c6120808f6de26fd1715b77
|Semantic_ID=c38e005c4b99ec480c6120808f6de26fd1715b77 |CorpusID=255598016
|CorpusID=255598016
|PublicationWhatKindOf=a module application description
|PublicationWhatKindOf=a module application description
|PublicationNrofModels=a single module
|PublicationNrofModels=a single module
Line 26: Line 25:
}}
}}
{{RefsInt3
{{RefsInt3
|PublicationAnimationsCargo=None
|PublicationAnimationsCargo=
}}
}}

Latest revision as of 15:15, 12 November 2024



Author(s) Yun Ng, Nigel Yuan; Gopalan, Harish; Raghavan, Venugopalan S. G.; Ooi, Chin Chun;
BibType conferencePaper
Title Day-Ahead Forecasting for the Tropics with Numerical Weather Prediction and Machine Learning
Editors
Year 2022-12-11
Journal
Booktitle
Volume
Pages 125–130
URL https://ieeexplore.ieee.org/document/10004290/
DOI 10.1109/ICARCV57592.2022.10004290
ISBN
Note Auto downloaded ref at: 2024-09-08


 
Feature reference No
PublicationClusterID 0
MS_PublicationClusterID 0
Semantic_ID c38e005c4b99ec480c6120808f6de26fd1715b77
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