Monthly to seasonal prediction of tropical Atlantic sea surface temperature with statistical models constructed from observations and data from the Kiel Climate Model
Author:
Funder
China Scholarship Council
FP7 Environment
Bundesministerium für Bildung und Forschung
Publisher
Springer Science and Business Media LLC
Subject
Atmospheric Science
Link
http://link.springer.com/content/pdf/10.1007/s00382-020-05140-6.pdf
Reference50 articles.
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2. Barnston AG, Tippett MK, van den Dool HM, Unger DA (2015) Toward an improved multimodel ENSO prediction. J Appl Meteorol Climatol 54:1579–1595. https://doi.org/10.1175/JAMC-D-14-0188.1
3. Boer GJ (2004) Long time-scale potential predictability in an ensemble of coupled climate models. Clim Dyn 23:29–44. https://doi.org/10.1007/s00382-004-0419-8
4. Boer GJ, Boer GJ (2009) Changes in interannual variability and decadal potential predictability under global warming. J Clim 22:3098–3109. https://doi.org/10.1175/2008JCLI2835.1
5. Chang P, Saravanan R, Ji L (2003) Tropical Atlantic seasonal predictability: the roles of El Niño remote influence and thermodynamic air-sea feedback. Geophys Res Lett 30:n/a-n/a. https://doi.org/10.1029/2002GL016119
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