Reference:Reference-023957: Difference between revisions

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|Year=2023-08
|Year=2023-08
|Journal=Journal of Geodesy
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|Volume=97
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|Pages=None
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|URL=https://link.springer.com/10.1007/s00190-023-01768-4
|URL=https://link.springer.com/10.1007/s00190-023-01768-4
|DOI=10.1007/s00190-023-01768-4
|DOI=10.1007/s00190-023-01768-4
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Latest revision as of 11:50, 12 November 2024



Author(s) Bu, Jinwei; Yu, Kegen; Ni, Jun; Huang, Weimin;
BibType journalArticle
Title Combining ERA5 data and CYGNSS observations for the joint retrieval of global significant wave height of ocean swell and wind wave: a deep convolutional neural network approach
Editors
Year 2023-08
Journal Journal of Geodesy
Booktitle
Volume 97
Pages
URL https://link.springer.com/10.1007/s00190-023-01768-4
DOI 10.1007/s00190-023-01768-4
ISBN
Note Auto downloaded ref at: 2024-08-30


 
Feature reference No
PublicationClusterID 0
MS_PublicationClusterID 0
Semantic_ID 859a63edb2c10e796d5ceef74e59391b3ff060ac
Nr of citations 7
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: WAVEWATCH III ^TM