Improved extended-range prediction of persistent stratospheric perturbations using machine learning
Abstract 25 20 %.
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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Improved extended-range prediction of persistent stratospheric perturbations using machine learning ; volume:4 ; number:2 ; year:2023 ; pages:287-307 ; extent:21
Weather and climate dynamics ; 4, Heft 2 (2023), 287-307 (gesamt 21)
- Creator
- DOI
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10.5194/wcd-4-287-2023
- URN
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urn:nbn:de:101:1-2023040605183074818803
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 10:52 AM CEST
Data provider
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Associated
- de Fondeville, Raphaël
- Wu, Zheng
- Székely, Enikő
- Obozinski, Guillaume
- Domeisen, Daniela
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Improved analysis of SP and CoSaMP under total perturbations
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Improved stratospheric aerosol extinction profiles from SCIAMACHY: validation and sample results
Perturbations in stratospheric aerosol evolution due to the water-rich plume of the 2022 Hunga-Tonga eruption
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