A Transformer‐Based Deep Learning Model for Successful Predictions of the 2021 Second‐Year La Niña Condition

A self-attention–based neural network for three-dimensional multivariate modeling and its skillful ENSO predictions

(2023) Lu Zhou et al.   Science Advances

A Hybrid Neural Network Model for ENSO Prediction in Combination with Principal Oscillation Pattern Analyses

(2022) Lu Zhou et al.   ADVANCES IN ATMOSPHERIC SCIENCES

Recent ENSO evolution and its real-time prediction challenges

(2022) Rong-Hua Zhang et al.   National Science Review

Physics-informed deep learning parameterization of ocean vertical mixing improves climate simulations

(2022) Yuchao Zhu et al.   National Science Review

A Historical Perspective of the La Niña Event in 2020/2021

(2022) Xiaofan Li et al.   JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES

A multiscale model for El Niño complexity

(2022) Nan Chen et al.   npj Climate and Atmospheric Science

Quantifying the Predictability of ENSO Complexity Using a Statistically Accurate Multiscale Stochastic Model and Information Theory

(2022) Xianghui Fang et al.   JOURNAL OF CLIMATE

The 2020–2021 prolonged La Niña evolution in the tropical Pacific

(2022) Chuan Gao et al.   Science China-Earth Sciences

Unified deep learning model for El Niño/southern oscillation forecasts by incorporating seasonality in climate data

(2021) Yoo-Geun Ham et al.   Science Bulletin

Forecasting the Indian Ocean Dipole With Deep Learning Techniques

(2021) Jun Liu et al.   GEOPHYSICAL RESEARCH LETTERS

Deep Residual Convolutional Neural Network Combining Dropout and Transfer Learning for ENSO Forecasting

(2021) Jie Hu et al.   GEOPHYSICAL RESEARCH LETTERS

Probabilistic Forecasting of El Niño Using Neural Network Models

(2020) Paul Johannes Petersik et al.   GEOPHYSICAL RESEARCH LETTERS

Purely satellite data–driven deep learning forecast of complicated tropical instability waves

(2020) Gang Zheng et al.   Science Advances

A review of progress in coupled ocean-atmosphere model developments for ENSO studies in China

(2020) Rong-Hua Zhang et al.   Journal of Oceanology and Limnology

Evaluating climate models with the CLIVAR 2020 ENSO metrics package

(2020) Yann Y. Planton et al.   BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY

Deep learning and process understanding for data-driven Earth system science

(2019) Markus Reichstein et al.   NATURE

Deep learning for multi-year ENSO forecasts

(2019) Yoo-Geun Ham et al.   NATURE

El Niño–Southern Oscillation complexity

(2018) Axel Timmermann et al.   NATURE

Progress in ENSO prediction and predictability study

(2018) Youmin Tang et al.   National Science Review

The roles of atmospheric wind and entrained water temperature (Te) in the second-year cooling of the 2010–12 La Niña event

(2016) Chuan Gao et al.   CLIMATE DYNAMICS

The IOCAS intermediate coupled model (IOCAS ICM) and its real-time predictions of the 2015–2016 El Niño event

(2016) Rong-Hua Zhang et al.   Science Bulletin

The North American Multimodel Ensemble: Phase-1 Seasonal-to-Interannual Prediction; Phase-2 toward Developing Intraseasonal Prediction

(2013) Ben P. Kirtman et al.   BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY

Why were some La Niñas followed by another La Niña?

(2013) Zeng-Zhen Hu et al.   CLIMATE DYNAMICS

Skill of Real-Time Seasonal ENSO Model Predictions during 2002–11: Is Our Capability Increasing?

(2011) Anthony G. Barnston et al.   BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY

Response of Pacific subtropical-tropical thermocline water pathways and transports to global warming

(2009) Yiyong Luo et al.   GEOPHYSICAL RESEARCH LETTERS

A Reanalysis of Ocean Climate Using Simple Ocean Data Assimilation (SODA)

(2008) James A. Carton et al.   MONTHLY WEATHER REVIEW