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Quantifying stratospheric biases and identifying their potential sources in subseasonal forecast systems.

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Title: Quantifying stratospheric biases and identifying their potential sources in subseasonal forecast systems.
Authors: Lawrence, Zachary D.1,2 (AUTHOR) zachary.lawrence@noaa.gov, Abalos, Marta3 (AUTHOR), Ayarzagüena, Blanca3 (AUTHOR), Barriopedro, David3 (AUTHOR), Butler, Amy H.4 (AUTHOR), Calvo, Natalia3 (AUTHOR), de la Cámara, Alvaro3 (AUTHOR), Charlton-Perez, Andrew5 (AUTHOR), Domeisen, Daniela I. V.6,7 (AUTHOR), Dunn-Sigouin, Etienne8 (AUTHOR), García-Serrano, Javier9 (AUTHOR), Garfinkel, Chaim I.10 (AUTHOR), Hindley, Neil P.11 (AUTHOR), Jia, Liwei12,13 (AUTHOR), Jucker, Martin14,15 (AUTHOR), Karpechko, Alexey Y.16 (AUTHOR), Kim, Hera17 (AUTHOR), Lang, Andrea L.18 (AUTHOR), Lee, Simon H.19 (AUTHOR), Lin, Pu12,20 (AUTHOR)
Source: Weather & Climate Dynamics. 2022, Vol. 3 Issue 3, p977-1001. 25p.
Database: Environment Complete
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=159138749
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