ENSO modulation of tropical Indian Ocean subseasonal variability

Eunsil Jung; Ben P. Kirtman

doi:10.1002/2016GL071899

ENSO modulation of tropical Indian Ocean subseasonal variability

Eunsil Jung, Ben P. Kirtman

Department of Construction and Disaster Prevention Engineering

University of Miami

Research output: Contribution to journal › Article › peer-review

8 Scopus citations

Abstract

In this study, we use 30 years of retrospective climate model forecasts and observational estimates to show that El Niño/Southern Oscillation (ENSO) affects the amplitude of subseasonal variability of sea surface temperature (SST) in the southwest Indian Ocean, an important Tropical Intraseasonal Oscillation (TISO) onset region. The analysis shows that deeper background mixed-layer depths and warmer upper ocean conditions during El Niño reduce the amplitude of the subseasonal SST variability over Seychelles-Chagos Thermocline Ridge (SCTR), which may reduce SST-wind coupling and the amplitude of TISO variability. The opposite holds for La Niña where the shallower mixed-layer depth enhances SST variability over SCTR, which may increase SST-wind coupling and the amplitude of TISO variability.

Original language	English
Pages (from-to)	12,634-12,642
Journal	Geophysical Research Letters
Volume	43
Issue number	24
DOIs	https://doi.org/10.1002/2016GL071899
State	Published - 28 Dec 2016

Keywords

air-sea coupling
amplitude of subseasonal variability
mixed-layer depth

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This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1002/2016GL071899

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title = "ENSO modulation of tropical Indian Ocean subseasonal variability",

abstract = "In this study, we use 30 years of retrospective climate model forecasts and observational estimates to show that El Ni{\~n}o/Southern Oscillation (ENSO) affects the amplitude of subseasonal variability of sea surface temperature (SST) in the southwest Indian Ocean, an important Tropical Intraseasonal Oscillation (TISO) onset region. The analysis shows that deeper background mixed-layer depths and warmer upper ocean conditions during El Ni{\~n}o reduce the amplitude of the subseasonal SST variability over Seychelles-Chagos Thermocline Ridge (SCTR), which may reduce SST-wind coupling and the amplitude of TISO variability. The opposite holds for La Ni{\~n}a where the shallower mixed-layer depth enhances SST variability over SCTR, which may increase SST-wind coupling and the amplitude of TISO variability.",

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T1 - ENSO modulation of tropical Indian Ocean subseasonal variability

AU - Jung, Eunsil

AU - Kirtman, Ben P.

PY - 2016/12/28

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N2 - In this study, we use 30 years of retrospective climate model forecasts and observational estimates to show that El Niño/Southern Oscillation (ENSO) affects the amplitude of subseasonal variability of sea surface temperature (SST) in the southwest Indian Ocean, an important Tropical Intraseasonal Oscillation (TISO) onset region. The analysis shows that deeper background mixed-layer depths and warmer upper ocean conditions during El Niño reduce the amplitude of the subseasonal SST variability over Seychelles-Chagos Thermocline Ridge (SCTR), which may reduce SST-wind coupling and the amplitude of TISO variability. The opposite holds for La Niña where the shallower mixed-layer depth enhances SST variability over SCTR, which may increase SST-wind coupling and the amplitude of TISO variability.

AB - In this study, we use 30 years of retrospective climate model forecasts and observational estimates to show that El Niño/Southern Oscillation (ENSO) affects the amplitude of subseasonal variability of sea surface temperature (SST) in the southwest Indian Ocean, an important Tropical Intraseasonal Oscillation (TISO) onset region. The analysis shows that deeper background mixed-layer depths and warmer upper ocean conditions during El Niño reduce the amplitude of the subseasonal SST variability over Seychelles-Chagos Thermocline Ridge (SCTR), which may reduce SST-wind coupling and the amplitude of TISO variability. The opposite holds for La Niña where the shallower mixed-layer depth enhances SST variability over SCTR, which may increase SST-wind coupling and the amplitude of TISO variability.

KW - air-sea coupling

KW - amplitude of subseasonal variability

KW - mixed-layer depth

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DO - 10.1002/2016GL071899

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SP - 12,634-12,642

JO - Geophysical Research Letters

JF - Geophysical Research Letters

IS - 24

ER -

ENSO modulation of tropical Indian Ocean subseasonal variability

Abstract

Keywords

UN SDGs

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