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The defining characteristics of ENSO extremes and the strong 2015/2016 El Niño
The year 2015 was special for climate scientists, particularly for the El Niño Southern
Oscillation (ENSO) research community, as a major El Niño finally materialized after a long …
Oscillation (ENSO) research community, as a major El Niño finally materialized after a long …
A review of progress in coupled ocean-atmosphere model developments for ENSO studies in China
Abstract El Niño-Southern Oscillation (ENSO) is the strongest interannual signal that is
produced by basinscale processes in the tropical Pacific, with significant effects on weather …
produced by basinscale processes in the tropical Pacific, with significant effects on weather …
Decadal prediction: can it be skillful?
A new field of study,“decadal prediction,” is emerging in climate science. Decadal prediction
lies between seasonal/interannual forecasting and longer-term climate change projections …
lies between seasonal/interannual forecasting and longer-term climate change projections …
Interdecadal modulation of El Niño amplitude during the past millennium
Abstract The El Niño/Southern Oscillation (ENSO) is the dominant mode of interannual
climate variability on Earth, alternating between anomalously warm (El Niño) and cold (La …
climate variability on Earth, alternating between anomalously warm (El Niño) and cold (La …
ENSO modulation: Is it decadally predictable?
Observations and climate simulations exhibit epochs of extreme El Niño–Southern
Oscillation (ENSO) behavior that can persist for decades. Previous studies have revealed a …
Oscillation (ENSO) behavior that can persist for decades. Previous studies have revealed a …
ENSO predictability over the past 137 years based on a CESM ensemble prediction system
In this study, we conducted an ensemble retrospective prediction from 1881 to 2017 using
the Community Earth System Model to evaluate El Niño–Southern Oscillation (ENSO) …
the Community Earth System Model to evaluate El Niño–Southern Oscillation (ENSO) …
An extension of conditional nonlinear optimal perturbation approach and its applications
The approach of conditional nonlinear optimal perturbation (CNOP) was previously
proposed to find the optimal initial perturbation (CNOP-I) in a given constraint. In this paper …
proposed to find the optimal initial perturbation (CNOP-I) in a given constraint. In this paper …
Exploring the initial errors that cause a significant “spring predictability barrier” for El Niño events
W Duan, X Liu, K Zhu, M Mu - Journal of Geophysical …, 2009 - Wiley Online Library
Within the Zebiak‐Cane model, we identify two types of initial errors that have significant
season‐dependent evolutions related to the spring predictability barrier (SPB) for El Niño …
season‐dependent evolutions related to the spring predictability barrier (SPB) for El Niño …
An assessment of the CFS real-time seasonal forecasts
This study assesses the real-time seasonal forecasts for 2005–08 with the current National
Centers for Environmental Prediction (NCEP) Climate Forecast System (CFS). The forecasts …
Centers for Environmental Prediction (NCEP) Climate Forecast System (CFS). The forecasts …
The Liang-Kleeman information flow: Theory and applications
XS Liang - Entropy, 2013 - mdpi.com
Information flow, or information transfer as it may be referred to, is a fundamental notion in
general physics which has wide applications in scientific disciplines. Recently, a rigorous …
general physics which has wide applications in scientific disciplines. Recently, a rigorous …