The Signal‐to‐Noise Paradox in ENSO Prediction: Role of ENSO Growth Rate and Period

Abstract This paper investigates the relationship between heterogeneous predictability and homogeneous predictability for El Niño‐Southern Oscillation (ENSO) prediction. Previous studies showed that a larger heterogeneous predictability than homogeneous predictability, referred as the signal‐to‐nois...

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Main Author: Yishuai Jin
Format: Article
Language:English
Published: Wiley 2022-06-01
Series:Geophysical Research Letters
Subjects:
Online Access:https://doi.org/10.1029/2022GL097965
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author Yishuai Jin
author_facet Yishuai Jin
author_sort Yishuai Jin
collection DOAJ
description Abstract This paper investigates the relationship between heterogeneous predictability and homogeneous predictability for El Niño‐Southern Oscillation (ENSO) prediction. Previous studies showed that a larger heterogeneous predictability than homogeneous predictability, referred as the signal‐to‐noise paradox, is caused by a higher persistence in the observations than in the model. By using the recharge oscillator model, it is found analytically and numerically that both ENSO growth rate and period contribute to this paradox. A larger ENSO growth rate in the observation can lead to a higher persistence and heterogeneous predictability. However, a larger ENSO growth rate associated with a shortened ENSO period can also lead to this paradox although the persistence of the observation is lower than forecast model. Finally, we apply it to explain the paradox after 1960 is caused by a larger ENSO growth rate and a shortened ENSO period.
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publishDate 2022-06-01
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series Geophysical Research Letters
spelling doaj-art-9bea9f1b2d6645daada2c37b32d27f3a2025-01-22T14:38:15ZengWileyGeophysical Research Letters0094-82761944-80072022-06-014912n/an/a10.1029/2022GL097965The Signal‐to‐Noise Paradox in ENSO Prediction: Role of ENSO Growth Rate and PeriodYishuai Jin0Physical Oceanography Laboratory Frontier Science Center for Deep Ocean Multispheres and Earth System (FDOMES) Ocean University of China Qingdao ChinaAbstract This paper investigates the relationship between heterogeneous predictability and homogeneous predictability for El Niño‐Southern Oscillation (ENSO) prediction. Previous studies showed that a larger heterogeneous predictability than homogeneous predictability, referred as the signal‐to‐noise paradox, is caused by a higher persistence in the observations than in the model. By using the recharge oscillator model, it is found analytically and numerically that both ENSO growth rate and period contribute to this paradox. A larger ENSO growth rate in the observation can lead to a higher persistence and heterogeneous predictability. However, a larger ENSO growth rate associated with a shortened ENSO period can also lead to this paradox although the persistence of the observation is lower than forecast model. Finally, we apply it to explain the paradox after 1960 is caused by a larger ENSO growth rate and a shortened ENSO period.https://doi.org/10.1029/2022GL097965persistence‐skill rulesignal‐to‐noise paradoxENSO growth rateENSO period
spellingShingle Yishuai Jin
The Signal‐to‐Noise Paradox in ENSO Prediction: Role of ENSO Growth Rate and Period
Geophysical Research Letters
persistence‐skill rule
signal‐to‐noise paradox
ENSO growth rate
ENSO period
title The Signal‐to‐Noise Paradox in ENSO Prediction: Role of ENSO Growth Rate and Period
title_full The Signal‐to‐Noise Paradox in ENSO Prediction: Role of ENSO Growth Rate and Period
title_fullStr The Signal‐to‐Noise Paradox in ENSO Prediction: Role of ENSO Growth Rate and Period
title_full_unstemmed The Signal‐to‐Noise Paradox in ENSO Prediction: Role of ENSO Growth Rate and Period
title_short The Signal‐to‐Noise Paradox in ENSO Prediction: Role of ENSO Growth Rate and Period
title_sort signal to noise paradox in enso prediction role of enso growth rate and period
topic persistence‐skill rule
signal‐to‐noise paradox
ENSO growth rate
ENSO period
url https://doi.org/10.1029/2022GL097965
work_keys_str_mv AT yishuaijin thesignaltonoiseparadoxinensopredictionroleofensogrowthrateandperiod
AT yishuaijin signaltonoiseparadoxinensopredictionroleofensogrowthrateandperiod