Data-driven Global Subseasonal Forecast Model (GSFM v1.0) for intraseasonal oscillation components

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Bibliographic citation: Data-driven Global Subseasonal Forecast Model (GSFM v1.0) for intraseasonal oscillation components ; day:11 ; month:07 ; year:2022 ; pages:1-18 ; extent:18
Geoscientific model development discussions ; (11.07.2022), 1-18 (gesamt 18)

Creator: Lu, Chuhan
Huang, Dingan
Shen, Yichen
Xin, Fei

DOI: 10.5194/gmd-2022-146

URN: urn:nbn:de:101:1-2022071405185970585878

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:26 AM CEST

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Lu, Chuhan
Huang, Dingan
Shen, Yichen
Xin, Fei

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Data-driven Global Subseasonal Forecast Model (GSFM v1.0) for intraseasonal oscillation components

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Other Objects (12)

Sub-seasonal precipitation forecasts using preceding atmospheric intraseasonal oscillation signals in a Bayesian perspective

Predictability of the early winter Arctic oscillation from autumn Eurasian snowcover in subseasonal forecast models

Decadal change in the boreal summer intraseasonal oscillation

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Decadal change in the boreal summer intraseasonal oscillation

Impacts of atmospheric and oceanic initial conditions on boreal summer intraseasonal oscillation forecast in the BCC model

Probabilistic subseasonal precipitation forecasts using preceding atmospheric intraseasonal signals in a Bayesian perspective

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Subseasonal forecast of Arctic sea ice concentration via statistical approaches

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Decadal change in the boreal summer intraseasonal oscillation

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Subseasonal midlatitude prediction skill following Quasi-Biennial Oscillation and Madden–Julian Oscillation activity

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