Superiority of Mega‐ENSO Index in the Seasonal Prediction of Tropical Cyclone Activity Over the Western North Pacific

Abstract In this study, we compared the performance of two potential predicators, that is, El Niño–Southern Oscillation (ENSO) index (Niño‐3.4) and mega‐ENSO index, in the seasonal forecast of tropical cyclone (TC) activity and its spatial distribution over the western North Pacific (WNP) during the...

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Main Authors: Yuan Sun, Zhong Zhong, Tim Li, Lan Yi, Jian Shi, Yixuan Shen, Kefeng Liu, Yijia Hu, Zanmin Xu
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2020-05-01
Series:Earth and Space Science
Subjects:
Online Access:https://doi.org/10.1029/2019EA001009
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spelling doaj-5e8f459f12194e99b782531a5613dbcd2020-11-25T02:54:02ZengAmerican Geophysical Union (AGU)Earth and Space Science2333-50842020-05-0175n/an/a10.1029/2019EA001009Superiority of Mega‐ENSO Index in the Seasonal Prediction of Tropical Cyclone Activity Over the Western North PacificYuan Sun0Zhong Zhong1Tim Li2Lan Yi3Jian Shi4Yixuan Shen5Kefeng Liu6Yijia Hu7Zanmin Xu8College of Meteorology and Oceanography National University of Defense Technology Nanjing ChinaCollege of Meteorology and Oceanography National University of Defense Technology Nanjing ChinaKey Laboratory of Meteorological Disaster, Ministry of Education/Joint International Research Laboratory of Climate and Environmental Change/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters Nanjing University of Information Science and Technology Nanjing ChinaAcademy of Meteorological Sciences/Chinese Meteorological Society Beijing ChinaCollege of Meteorology and Oceanography National University of Defense Technology Nanjing ChinaCollege of Meteorology and Oceanography National University of Defense Technology Nanjing ChinaCollege of Meteorology and Oceanography National University of Defense Technology Nanjing ChinaCollege of Meteorology and Oceanography National University of Defense Technology Nanjing ChinaKey Laboratory of Meteorological Disaster, Ministry of Education/Joint International Research Laboratory of Climate and Environmental Change/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters Nanjing University of Information Science and Technology Nanjing ChinaAbstract In this study, we compared the performance of two potential predicators, that is, El Niño–Southern Oscillation (ENSO) index (Niño‐3.4) and mega‐ENSO index, in the seasonal forecast of tropical cyclone (TC) activity and its spatial distribution over the western North Pacific (WNP) during the extended TC season, which is of public concern. Our results clearly show that, although both mega‐ENSO and Niño‐3.4 indices in the preceding May are important predictors for the seasonal predication, the relative‐sea surface temperature (SST)‐dependent mega‐ENSO exhibits a higher skill in the seasonal forecasting compared with the absolute‐SST‐dependent ENSO. Further results show that, despite of stronger destructiveness of TCs in high mega‐ENSO (El Niño) years than in low mega‐ENSO (La Niña) years, more attention should be paid to the TCs in low mega‐ENSO years, which are more likely to occur in coastal areas compared with the TCs in high mega‐ENSO years. Due to the responses of TC genesis, TC potential intensity, and large‐scale flow to the SST change in low mega‐ENSO years, the WNP TCs tend to originate in the northwestern quadrant and intensify at high latitudes and then turn northwestward over the TC prevailing region, which contributes to the northwestward migration of the WNP TC exposure in terms of track density and destructiveness density and thus imposes more risks in the coastal areas in low mega‐ENSO years. In addition, despite the significant predication skill in forecasting TC activity when using mega‐ENSO/Niño‐3.4 as a single predicator, it is still far to predict reliable WNP activity, especially its spatial distribution, without considering other predictors.https://doi.org/10.1029/2019EA001009tropical cycloneseasonal predictiondestructive potentialmeridional and zonal shiftsmega‐ENSO
collection DOAJ
language English
format Article
sources DOAJ
author Yuan Sun
Zhong Zhong
Tim Li
Lan Yi
Jian Shi
Yixuan Shen
Kefeng Liu
Yijia Hu
Zanmin Xu
spellingShingle Yuan Sun
Zhong Zhong
Tim Li
Lan Yi
Jian Shi
Yixuan Shen
Kefeng Liu
Yijia Hu
Zanmin Xu
Superiority of Mega‐ENSO Index in the Seasonal Prediction of Tropical Cyclone Activity Over the Western North Pacific
Earth and Space Science
tropical cyclone
seasonal prediction
destructive potential
meridional and zonal shifts
mega‐ENSO
author_facet Yuan Sun
Zhong Zhong
Tim Li
Lan Yi
Jian Shi
Yixuan Shen
Kefeng Liu
Yijia Hu
Zanmin Xu
author_sort Yuan Sun
title Superiority of Mega‐ENSO Index in the Seasonal Prediction of Tropical Cyclone Activity Over the Western North Pacific
title_short Superiority of Mega‐ENSO Index in the Seasonal Prediction of Tropical Cyclone Activity Over the Western North Pacific
title_full Superiority of Mega‐ENSO Index in the Seasonal Prediction of Tropical Cyclone Activity Over the Western North Pacific
title_fullStr Superiority of Mega‐ENSO Index in the Seasonal Prediction of Tropical Cyclone Activity Over the Western North Pacific
title_full_unstemmed Superiority of Mega‐ENSO Index in the Seasonal Prediction of Tropical Cyclone Activity Over the Western North Pacific
title_sort superiority of mega‐enso index in the seasonal prediction of tropical cyclone activity over the western north pacific
publisher American Geophysical Union (AGU)
series Earth and Space Science
issn 2333-5084
publishDate 2020-05-01
description Abstract In this study, we compared the performance of two potential predicators, that is, El Niño–Southern Oscillation (ENSO) index (Niño‐3.4) and mega‐ENSO index, in the seasonal forecast of tropical cyclone (TC) activity and its spatial distribution over the western North Pacific (WNP) during the extended TC season, which is of public concern. Our results clearly show that, although both mega‐ENSO and Niño‐3.4 indices in the preceding May are important predictors for the seasonal predication, the relative‐sea surface temperature (SST)‐dependent mega‐ENSO exhibits a higher skill in the seasonal forecasting compared with the absolute‐SST‐dependent ENSO. Further results show that, despite of stronger destructiveness of TCs in high mega‐ENSO (El Niño) years than in low mega‐ENSO (La Niña) years, more attention should be paid to the TCs in low mega‐ENSO years, which are more likely to occur in coastal areas compared with the TCs in high mega‐ENSO years. Due to the responses of TC genesis, TC potential intensity, and large‐scale flow to the SST change in low mega‐ENSO years, the WNP TCs tend to originate in the northwestern quadrant and intensify at high latitudes and then turn northwestward over the TC prevailing region, which contributes to the northwestward migration of the WNP TC exposure in terms of track density and destructiveness density and thus imposes more risks in the coastal areas in low mega‐ENSO years. In addition, despite the significant predication skill in forecasting TC activity when using mega‐ENSO/Niño‐3.4 as a single predicator, it is still far to predict reliable WNP activity, especially its spatial distribution, without considering other predictors.
topic tropical cyclone
seasonal prediction
destructive potential
meridional and zonal shifts
mega‐ENSO
url https://doi.org/10.1029/2019EA001009
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