The Spatial Patterns of Initial Errors Related to the “Winter Predictability Barrier” of the Indian Ocean Dipole

Feng, Xikang; Rong,; Duan,; Wansuo,

doi:10.1080/16742834.2014.11447198

Cited by 8 publications

(1 citation statement)

References 6 publications

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“…In addition to ENSO forecasting, several model-based observation designing applications have also been investigated to effectively improve predictions of other large-scale high-impact ocean events, such as the Indian Ocean Dipole (IOD) and variations of the Kuroshio. Using the Geophysical Fluid Dynamics Laboratory Climate model, Feng and Duan (2014) found that the initial errors exhibiting an eastern-western dipolar pattern tend to cause more significant prediction errors of IOD. Further sensitivity analysis of Feng et al (2017) indicated that the subsurface of the dipolar error is the key observation area for improving IOD forecasting.…”

Section: Critical Role Of Numerical Modeling In Advancing Oceanic Obsmentioning

confidence: 99%

Increasingly important role of numerical modeling in oceanic observation design strategy: A review

Zhang

Qiang

2020

Sci. China Earth Sci.

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Oceanic observation design is of considerable significance and has made remarkable progress during the past several decades. This study addresses the critical role of numerical modeling in oceanic observation design. Following a brief introduction of the characteristics of existing oceanic observation design studies, we present the advantages of the model-based observation design strategy and further review its decisive contribution. To demonstrate the effectiveness of this strategy, the targeted observation applications using the conditional nonlinear optimal perturbation (CNOP) approach for improving the Kuroshio predictions are introduced. Finally, the authors present their consideration for correcting model errors by targeted observations of sensitive model parameters and mitigating the model-dependency problem by utilizing multiple modeling systems. Suggestions on using observing system simulation experiments to validate the designed observations and extending the model-based observation design strategy into observing oceanic climatological mean states are also discussed.

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Section: Critical Role Of Numerical Modeling In Advancing Oceanic Obsmentioning

confidence: 99%