Sen Zhao, PhD
Sen Zhao, PhD
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Improved Predictability of the Indian Ocean Dipole using a Stochastic-Dynamical Model compared to the North American Multi-model Ensemble Forecast
This study assesses the predictive skill of eight North American Multimodel Ensemble (NMME) models in predicting the Indian Ocean …
Sen Zhao
,
Malte F. Stuecker
,
Fei-Fei Jin
,
Juan Feng
,
Hong-Li Ren
,
Wenjun Zhang
,
Jianping Li
PDF
DOI
A robust assessment of the Bjerknes-Wyrtki-Jin indices for ENSO growth rate and periodicity
Abstract: Quantifying coupled ocean-atmosphere feedback processes for El Niño-Southern Oscillation (ENSO) is important for advancing …
Dec 11, 2019 8:00 AM — 12:20 PM
AGU Fall Meeting 2019
San Francisco, CA
Improved Predictability of the Indian Ocean Dipole Using Seasonally Modulated ENSO Forcing Forecasts
Despite recent progress in seasonal forecast systems, the predictive skill for the Indian Ocean Dipole (IOD) remains typically limited …
Sen Zhao
,
Fei-Fei Jin
,
Malte F. Stuecker
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Dataset
DOI
Revisiting ENSO/Indian Ocean Dipole Phase Relationships
Here we show that the characteristics of the Indian Ocean Dipole (IOD), such as its power spectrum and phase relationship with the El …
Malte F. Stuecker
,
Axel Timmermann
,
Fei-Fei Jin
,
Yoshimitsu Chikamoto
,
Wenjun Zhang
,
Andrew T. Wittenberg
,
Esther Widiasih
,
Sen Zhao
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DOI
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