Observing Array Designed for Improving the Short‐Term Prediction of Kuroshio Extension State Transition Processes

Observing Array Designed for Improving the Short‐Term Prediction of Kuroshio Extension State Transition Processes

Abstract Given the essential implications of Kuroshio Extension (KE) bimodality on oceanic dynamical environment and climate, the present study investigates the targeted observation schemes, based on the conditional nonlinear optimal perturbation (CNOP) method and a reduced‐gravity shallow‐water mod...

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Bibliographic Details
Main Authors: Yu Geng, Qiang Wang, Hong‐Li Ren, Bo Dan, Stefano Pierini, Hui Zhang
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2024-11-01
Series:Earth and Space Science
Subjects:
Kuroshio Extension
bimodality
short‐term prediction
targeted observing array
Online Access:https://doi.org/10.1029/2024EA003881
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