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Machine learning methods to improve spatial predictions of coastal wind speed profiles and low-level jets using single-level ERA5 data.

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Title: Machine learning methods to improve spatial predictions of coastal wind speed profiles and low-level jets using single-level ERA5 data.
Authors: Hallgren, Christoffer1 christoffer.hallgren@geo.uu.se, Aird, Jeanie A.2 jaa377@cornell.edu, Ivanell, Stefan1, Körnich, Heiner3, Vakkari, Ville4,5, Barthelmie, Rebecca J.2, Pryor, Sara C.6, Sahlée, Erik1
Source: Wind Energy Science. 2024, Vol. 9 Issue 4, p821-840. 20p.
Database: Environment Complete
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Header DbId: eih
DbLabel: Environment Complete
An: 177358617
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Machine learning methods to improve spatial predictions of coastal wind speed profiles and low-level jets using single-level ERA5 data.
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  Data: <searchLink fieldCode="JN" term="%22Wind+Energy+Science%22">Wind Energy Science</searchLink>. 2024, Vol. 9 Issue 4, p821-840. 20p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=177358617
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        Value: 10.5194/wes-9-821-2024
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      – Code: eng
        Text: English
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      – TitleFull: Machine learning methods to improve spatial predictions of coastal wind speed profiles and low-level jets using single-level ERA5 data.
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              Text: 2024
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