2021
DOI: 10.1175/jcli-d-20-0704.1
|View full text |Cite
|
Sign up to set email alerts
|

Energy Flow Diagnosis of ENSO from an Ocean Reanalysis

Abstract: A method is introduced for diagnosing the time evolution of wave energy associated with ENSO from an ocean reanalysis. In the diagnosis, time changes of kinetic and available potential energy are mainly represented by energy inputs caused by surface wind stress and horizontal energy fluxes for each vertically decomposed normal mode. The resulting time evolutions of the wave energy and vertical thermocline displacements in the 1997–1998 and 2014–2016 El Niño events are consistent with our previous knowledge of … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
6
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
7

Relationship

4
3

Authors

Journals

citations
Cited by 11 publications
(7 citation statements)
references
References 66 publications
0
6
0
Order By: Relevance
“…The first six modes explain about 80% of baroclinic kinetic energy fraction in the equatorial regions of a global ocean reanalysis, as shown by Fig. 1 in Toyoda et al (2021). The Sturm-Liouville equation for the baroclinic normalmode decomposition associated with a stratified ocean may be written as…”
Section: Linear Ocean Model (Lom)mentioning
confidence: 97%
See 1 more Smart Citation
“…The first six modes explain about 80% of baroclinic kinetic energy fraction in the equatorial regions of a global ocean reanalysis, as shown by Fig. 1 in Toyoda et al (2021). The Sturm-Liouville equation for the baroclinic normalmode decomposition associated with a stratified ocean may be written as…”
Section: Linear Ocean Model (Lom)mentioning
confidence: 97%
“…The scheme is diagnostic and provides a computationally cheaper way compared with sensitivity experiments using an elaborated numerical model. The AGC17 scheme allowed Ogata and Aiki (2019), LA20, Song andToyoda et al (2021) to obtain wholly new perspectives on the horizontal transfer routes of waves in the tropical oceans. We extend their work to a three-dimensional system and describe vertical wave propagation.…”
Section: Introductionmentioning
confidence: 99%
“…The atmospheric initial conditions were based on JMA 6‐hourly global objective analysis data. The oceanic initial conditions were derived from an ocean data assimilation system (Toyoda et al., 2021): for both high‐ and low‐resolution experiments, long‐term data assimilative simulations were conducted with assimilated data of in situ temperature and salinity profiles and satellite‐derived SST, sea surface salinity, sea surface height (SSH), and sea‐ice concentration data and with the 3‐hourly JRA55‐do (Tsujino et al., 2018) surface boundary conditions. These long‐term data assimilative simulations used 10‐day assimilation window cycles with 3‐dimensional variational method.…”
Section: Model Experiments and Observational Datamentioning
confidence: 99%
“…Recently, unified wave energy flux schemes for equatorial waves by Aiki et al. (2017), which are named as AGC (Aiki, Greatbatch, and Claus) flux, have been applied in the Atlantic, Indian, and Pacific Ocean (Li & Aiki, 2020; Song & Aiki, 2020; Toyoda et al., 2021), showing its ability in explaining the wave‐related climate variability from the view of wave energy. Song and Aiki (2021) utilized the named AGC level0 (hereafter referred to as AGC‐L0) scheme and successfully revealed the wave energy flux of intraseasonal CTWs along the African coast, which has certainly provided a new view to address the remote forcing mechanism for the Benguela Niño/Niña.…”
Section: Introductionmentioning
confidence: 99%