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Atmospheric and Oceanic Science Letters Volume 11, 2018 - Issue 1: Special Issue: Contributions from the Authors of 'Innovation Award' at IAP, CAS, 2014–16
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Articles

ENSO hindcast skill of the IAP-DecPreS near-term climate prediction system: comparison of full-field and anomaly initialization

Qian SUNCollege of Atmospheric Science, Chengdu University of Information Technology, Chengdu, China;Leshan Central Station of Environment Monitoring, Leshan, China
,
Bo WULASG, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, ChinaCorrespondence[email protected]
,
Tian-Jun ZHOULASG, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
&
Zi-Xiang YANCollege of Atmospheric Science, Nanjing University of Information Science and Technology, Nanjing, China
Pages 54-62 | Received 08 Jun 2017, Accepted 27 Oct 2017, Published online: 15 Dec 2017

Related Research Data

ENSO hindcast skill of the IAP-DecPreS near-term climate prediction system: comparison of full-field and anomaly initialization
Source: Figshare
ENSO hindcast skill of the IAP-DecPreS near-term climate prediction system: comparison of full-field and anomaly initialization
Source: Figshare
Données flottantes Argo et métadonnées du Global Data Assembly Center (Argo GDAC)
Source: SEANOE

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