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Predicting the Evolution of Extreme Water Levels With Long Short‐Term Memory Station‐Based Approximated Models and Transfer Learning Techniques.

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Title: Predicting the Evolution of Extreme Water Levels With Long Short‐Term Memory Station‐Based Approximated Models and Transfer Learning Techniques.
Authors: Daramola, Samuel1, samueldaramola@vt.edu, Muñoz, David F.1, davidmunozpauta@vt.edu, Muñoz, Paul2, Saksena, Siddharth1, Irish, Jennifer1
Source: Water Resources Research; Mar2025, Vol. 61 Issue 3, p1-21, 21p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 184107200
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Predicting the Evolution of Extreme Water Levels With Long Short‐Term Memory Station‐Based Approximated Models and Transfer Learning Techniques.
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  Data: <searchLink fieldCode="AU" term="%22Daramola%2C+Samuel%22">Daramola, Samuel</searchLink><relatesTo>1</relatesTo>, <i>samueldaramola@vt.edu</i><br /><searchLink fieldCode="AU" term="%22Muñoz%2C+David+F%2E%22">Muñoz, David F.</searchLink><relatesTo>1</relatesTo>, <i>davidmunozpauta@vt.edu</i><br /><searchLink fieldCode="AU" term="%22Muñoz%2C+Paul%22">Muñoz, Paul</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Saksena%2C+Siddharth%22">Saksena, Siddharth</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Irish%2C+Jennifer%22">Irish, Jennifer</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Water+Resources+Research%22">Water Resources Research</searchLink>; Mar2025, Vol. 61 Issue 3, p1-21, 21p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=184107200
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        Value: 10.1029/2024WR039054
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      – Code: eng
        Text: English
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              Text: Mar2025
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