2023
DOI: 10.1029/2022jc018876
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The Impact of the Eastern Pacific Fresh and Warm Pools on the Bimodal Seasonality of Barrier Layers

Abstract: Observations of Argo profiles and TAO/TRITON array confirm the significant seasonality of the barrier layer (BL) and temperature inversion (TI) in the northeastern tropical Pacific (NETP). Statistical result of the occurrence based on the Argo profiles reveals a bimodal variability of the BL, with two peaks in July and October. This bimodal seasonality of BL is attributed to the out‐of‐phase variations of the eastern Pacific fresh and warm pools. The fresh and warm pools both expand westward from May to July, … Show more

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Cited by 1 publication
(2 citation statements)
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References 75 publications
(141 reference statements)
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“…(2014) and Chi et al. (2023), we can quantify the effects of interannually varying temperature and salinity on BLT as follows: normalBnormalLnormalTnormalA_normalT=normalBnormalLnormalT()Tnormalinormalnnormaltnormalenormalr,SnormalcnormallnormalinormalmnormalBnormalLnormalT()Tnormalcnormallnormalinormalm,Snormalcnormallnormalinormalm $\mathrm{B}\mathrm{L}\mathrm{T}\mathrm{A}\text{\_}\mathrm{T}=\mathrm{B}\mathrm{L}\mathrm{T}\left({\mathrm{T}}_{\mathrm{i}\mathrm{n}\mathrm{t}\mathrm{e}\mathrm{r}},{\mathrm{S}}_{\mathrm{c}\mathrm{l}\mathrm{i}\mathrm{m}}\right)-\mathrm{B}\mathrm{L}\mathrm{T}\left({\mathrm{T}}_{\mathrm{c}\mathrm{l}\mathrm{i}\mathrm{m}},{\mathrm{S}}_{\mathrm{c}\mathrm{l}\mathrm{i}\mathrm{m}}\right)$ normalBnormalLnormalTnormalA_normalS=normalBnormalLnormalT()Tnormalcnormallnormalinormalm,SnormalinormalnnormaltnormalenormalrnormalBnormalLnormalT()Tnormalcnormallnormalinormalm,Snormalcnormallnormalinormalm $\mathrm{B}\mathrm{L}\mathrm{T}\mathrm{A}\text{\_}\mathrm{S}=\mathrm{B}\mathrm{L}\mathrm{T}\left({\mathrm{T}}_{\mathrm{c}\mathrm{l}\mathrm{i}\mathrm{m}},{\mathrm{S}}_{\mathrm{i}\mathrm{n}\mathrm{t}\mathrm{e}\mathrm{r}}\right)-\mathrm{B}\mathrm{L}\mathrm{T}\left({\mathrm{T}}_{\mathrm{c}\mathrm{l}\mathrm{i}\mathrm{m}},{\mathrm{S}}_{\mathrm{c}\mathrm{l}\mathrm{i}\mathrm{m}}\right)$ where T inter , S inter , T clim , and S clim represent the interannually varying temperature, interannually varying salinity, climatological temperature and climatological salinity fields, respectively. BLT (T inter , S clim ), BLT (T clim , S inter ) and BLT (T clim , S clim ) denote the BLT that calculated from the corresponding temperature and salinity fields, respectively.…”
Section: Methodsmentioning
confidence: 94%
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“…(2014) and Chi et al. (2023), we can quantify the effects of interannually varying temperature and salinity on BLT as follows: normalBnormalLnormalTnormalA_normalT=normalBnormalLnormalT()Tnormalinormalnnormaltnormalenormalr,SnormalcnormallnormalinormalmnormalBnormalLnormalT()Tnormalcnormallnormalinormalm,Snormalcnormallnormalinormalm $\mathrm{B}\mathrm{L}\mathrm{T}\mathrm{A}\text{\_}\mathrm{T}=\mathrm{B}\mathrm{L}\mathrm{T}\left({\mathrm{T}}_{\mathrm{i}\mathrm{n}\mathrm{t}\mathrm{e}\mathrm{r}},{\mathrm{S}}_{\mathrm{c}\mathrm{l}\mathrm{i}\mathrm{m}}\right)-\mathrm{B}\mathrm{L}\mathrm{T}\left({\mathrm{T}}_{\mathrm{c}\mathrm{l}\mathrm{i}\mathrm{m}},{\mathrm{S}}_{\mathrm{c}\mathrm{l}\mathrm{i}\mathrm{m}}\right)$ normalBnormalLnormalTnormalA_normalS=normalBnormalLnormalT()Tnormalcnormallnormalinormalm,SnormalinormalnnormaltnormalenormalrnormalBnormalLnormalT()Tnormalcnormallnormalinormalm,Snormalcnormallnormalinormalm $\mathrm{B}\mathrm{L}\mathrm{T}\mathrm{A}\text{\_}\mathrm{S}=\mathrm{B}\mathrm{L}\mathrm{T}\left({\mathrm{T}}_{\mathrm{c}\mathrm{l}\mathrm{i}\mathrm{m}},{\mathrm{S}}_{\mathrm{i}\mathrm{n}\mathrm{t}\mathrm{e}\mathrm{r}}\right)-\mathrm{B}\mathrm{L}\mathrm{T}\left({\mathrm{T}}_{\mathrm{c}\mathrm{l}\mathrm{i}\mathrm{m}},{\mathrm{S}}_{\mathrm{c}\mathrm{l}\mathrm{i}\mathrm{m}}\right)$ where T inter , S inter , T clim , and S clim represent the interannually varying temperature, interannually varying salinity, climatological temperature and climatological salinity fields, respectively. BLT (T inter , S clim ), BLT (T clim , S inter ) and BLT (T clim , S clim ) denote the BLT that calculated from the corresponding temperature and salinity fields, respectively.…”
Section: Methodsmentioning
confidence: 94%
“…According to the definition of the BLT, both temperature and salinity contribute to the variations of the BLT. Using the approach proposed by Zheng and Zhang (2012) and adopted in Zheng et al (2014) and Chi et al (2023), we can quantify the effects of interannually varying temperature and salinity on BLT as follows: BLTA_T = BLT(T inter ,S clim ) BLT(T clim ,S clim )…”
Section: Contribution Diagnosis Of Temperature and Salinitymentioning
confidence: 99%