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Tellus A: Dynamic Meteorology and Oceanography Volume 66, 2014 - Issue 1

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Climate dynamics and climate modelling

A novel method to improve temperature simulations of general circulation models based on ensemble empirical mode decomposition and its application to multi-model ensembles

Xianliang ZhangForestry CollegeShenyang Agriculture University, Shenyang 110866, China;Key Laboratory of Regional Climate-Environment for East Asia, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China;Research Station of Liaohe-River Plain Forest EcosystemChinese Forest Ecosystem Research Network, Changtu 112500, China

Xiaodong YanState Key Laboratory of Earth Surface Processes and Resource EcologyBeijing Normal University, Beijing 100875, China;Academy of Disaster Reduction and Emergency ManagementMinistry of Civil Affairs & Ministry of Education, Beijing 100875, ChinaCorrespondence[email protected]

Article: 24846 | Received 04 May 2014, Accepted 23 Jun 2014, Published online: 28 Aug 2014

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https://doi.org/10.3402/tellusa.v66.24846
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Xianliang Zhang, Zhe Xiong, Xuezhen Zhang, Ying Shi, Jiyuan Liu, Quanqin Shao & Xiaodong Yan. (2015) Using multi-model ensembles to improve the simulated effects of land use/cover change on temperature: a case study over northeast China. Climate Dynamics 46:3-4, pages 765-778.
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A novel method to improve temperature simulations of general circulation models based on ensemble empirical mode decomposition and its application to multi-model ensembles

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A novel method to improve temperature simulations of general circulation models based on ensemble empirical mode decomposition and its application to multi-model ensembles

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