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Hu, Junya, Duan, Wansuo (2016) Relationship between optimal precursory disturbances and optimally growing initial errors associated with ENSO events: Implications to target observations for ENSO prediction. Journal of Geophysical Research: Oceans, 121 (5). 2901-2917 doi:10.1002/2015jc011386

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Reference TypeJournal (article/letter/editorial)
TitleRelationship between optimal precursory disturbances and optimally growing initial errors associated with ENSO events: Implications to target observations for ENSO prediction
JournalJournal of Geophysical Research: Oceans
AuthorsHu, JunyaAuthor
Duan, WansuoAuthor
Year2016 (May)Volume121
Issue5
PublisherAmerican Geophysical Union (AGU)
DOIdoi:10.1002/2015jc011386Search in ResearchGate
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Mindat Ref. ID3774559Long-form Identifiermindat:1:5:3774559:2
GUID0
Full ReferenceHu, Junya, Duan, Wansuo (2016) Relationship between optimal precursory disturbances and optimally growing initial errors associated with ENSO events: Implications to target observations for ENSO prediction. Journal of Geophysical Research: Oceans, 121 (5). 2901-2917 doi:10.1002/2015jc011386
Plain TextHu, Junya, Duan, Wansuo (2016) Relationship between optimal precursory disturbances and optimally growing initial errors associated with ENSO events: Implications to target observations for ENSO prediction. Journal of Geophysical Research: Oceans, 121 (5). 2901-2917 doi:10.1002/2015jc011386
In(2016, May) Journal of Geophysical Research: Oceans Vol. 121 (5) American Geophysical Union (AGU)

See Also

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Mu, Mu, Feng, Rong, Duan, Wansuo (2017) Relationship between optimal precursors for Indian Ocean Dipole events and optimally growing initial errors in its prediction. Journal of Geophysical Research: Oceans, 122 (2). 1141-1153 doi:10.1002/2016jc012527
Duan, Wansuo, Hu, Junya (2016) The initial errors that induce a significant “spring predictability barrier” for El Niño events and their implications for target observation: results from an earth system model. Climate Dynamics, 46 (11). 3599-3615 doi:10.1007/s00382-015-2789-5
Mu, Mu, Yu, Yanshan, Xu, Hui, Gong, Tingting (2014) Similarities between optimal precursors for ENSO events and optimally growing initial errors in El Niño predictions. Theoretical and Applied Climatology, 115 (3). 461-469 doi:10.1007/s00704-013-0909-x
Xu, Hui, Chen, Lei, Duan, Wansuo (2021) Optimally growing initial errors of El Niño events in the CESM. Climate Dynamics, 56 (11) 3797-3815 doi:10.1007/s00382-021-05668-1
Wang, Qiang, Mu, Mu, Dijkstra, Henk A. (2013) The similarity between optimal precursor and optimally growing initial error in prediction of Kuroshio large meander and its application to targeted observation. Journal of Geophysical Research: Oceans, 118 (2). 869-884 doi:10.1002/jgrc.20084
Mu, Mu, Jiang, Zhina (2011) Similarities between Optimal Precursors that Trigger the Onset of Blocking Events and Optimally Growing Initial Errors in Onset Prediction. Journal of the Atmospheric Sciences, 68 (12). 2860-2877 doi:10.1175/jas-d-11-037.1
Duan, Wansuo, Yu, Yanshan, Xu, Hui, Zhao, Peng (2013) Behaviors of nonlinearities modulating the El Niño events induced by optimal precursory disturbances. Climate Dynamics, 40 (5). 1399-1413 doi:10.1007/s00382-012-1557-z
Dai, Guokun, Mu, Mu, Jiang, Zhina (2016) Relationships between Optimal Precursors Triggering NAO Onset and Optimally Growing Initial Errors during NAO Prediction. Journal of the Atmospheric Sciences, 73 (1). 293-317 doi:10.1175/jas-d-15-0109.1
Mu, Mu, Xu, Hui, Duan, Wansuo (2007) A kind of initial errors related to “spring predictability barrier” for El Niño events in Zebiak-Cane model. Geophysical Research Letters, 34 (3) doi:10.1029/2006gl027412
Duan, Wansuo, Liu, Xinchao, Zhu, Keyun, Mu, Mu (2009) Exploring the initial errors that cause a significant “spring predictability barrier” for El Niño events. Journal of Geophysical Research, 114. doi:10.1029/2008jc004925
Duan, Wansuo, Hu, Lei, Feng, Rong (2024) Coupled conditional nonlinear optimal perturbations and their application to ENSO ensemble forecasts. Science China Earth Sciences, 67 (3) 826-842 doi:10.1007/s11430-023-1273-1
 
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