An empirical model for probabilistic decadal prediction: global attribution and regional hindcasts-Reference-Cited by-同舟云学术

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An empirical model for probabilistic decadal prediction: global attribution and regional hindcasts

Published:2016-07-04 Issue:9-10 Volume:48 Page:3115-3138
ISSN:0930-7575
Container-title:Climate Dynamics
language:en
Short-container-title:Clim Dyn

Author:

Suckling Emma B.,van Oldenborgh Geert Jan,Eden Jonathan M.,Hawkins Ed

Funder

European Union Seventh Framework Programme

Publisher

Springer Science and Business Media LLC

Subject

Atmospheric Science

Link

http://link.springer.com/content/pdf/10.1007/s00382-016-3255-8.pdf

Reference76 articles.

1. Alexander MA et al (2002) The atmospheric bridge: the influence of ENSO teleconnections on air–sea interactions over the global oceans. J Clim 15(16):2205–2231. doi: 10.1175/1520-0442(2002)015<2205:TABTIO>2.0.CO;2

2. Arribas A et al (2011) The GloSea4 ensemble prediction system for seasonal forecasting. Mon Weather Rev 139(6):1891–1910. doi: 10.1175/2010MWR3615.1

3. Balmaseda M et al (2009) Impact of initialization strategies and observations on seasonal forecast skill. Geophys Res Lett 36(1):L01701. doi: 10.1029/2008GL035561

4. Bintanja R et al (2013) Important role for ocean warming and increased ice-shelf melt in Antarctic sea-ice expansion. Nat Geosci 6:376–379. doi: 10.1038/NGEO1767

5. Boer GJ (2011) Decadal potential predictability of twenty-first century climate. Clim Dyn 36(5):1119–1133. doi: 10.1007/s00382-010-0747-9

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