2016
DOI: 10.1016/j.ocemod.2016.06.003
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North and equatorial Pacific Ocean circulation in the CORE-II hindcast simulations

Abstract: We evaluate the mean circulation patterns, water mass distributions, and tropical dynamics of the North and Equatorial Pacific Ocean based on a suite of global ocean-sea ice simulations driven by the CORE-II atmospheric forcing from 1963-2007. The first three moments (mean, standard deviation and skewness) of sea surface height and surface temperature variability are assessed against observations. Large discrepancies are found in the variance and skewness of sea surface height and in the skewness of sea surfac… Show more

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Cited by 34 publications
(44 citation statements)
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“…The wind stress curl and consequently the NECC are both present in SODA. However, the CORE data set, which is used to force the OCN simulation does not accurately represent the positive wind stress curl along 10°N (Tseng et al, ). As a result, the thermocline ridge and NECC are poorly simulated in the OCN simulation (supporting information Figure S6).…”
Section: Resultsmentioning
confidence: 99%
“…The wind stress curl and consequently the NECC are both present in SODA. However, the CORE data set, which is used to force the OCN simulation does not accurately represent the positive wind stress curl along 10°N (Tseng et al, ). As a result, the thermocline ridge and NECC are poorly simulated in the OCN simulation (supporting information Figure S6).…”
Section: Resultsmentioning
confidence: 99%
“…The model employs a climatology of the monthly mean river runoff provided by Dai et al (). Previous research showed that FESOM with CORE‐II forcing can reasonably simulate sea ice and ocean in the Arctic and North Pacific Oceans compared to observations and other models (e.g., Ilıcak et al, ; Tseng et al, ; Wang et al, , ).…”
Section: Model Setup and Methodsmentioning
confidence: 96%
“…The model employs a climatology of the monthly mean river runoff provided by Dai et al (2009). Previous research showed that FESOM with CORE-II forcing can reasonably simulate sea ice and ocean in the Arctic and North Pacific Oceans compared to observations and other models (e.g., Ilıcak et al, 2016;Tseng et al, 2016;Wang et al, 2016aWang et al, , 2016b. A historical simulation (hereinafter referred to as "control") was carried out using the interannually varying forcing (IAVF) of the CORE-II data sets.…”
Section: Model Setup and Methodsmentioning
confidence: 99%
“…It has been found that the NECC is not well simulated in many ocean models partly because of these complex dynamics (e.g., Grima et al, ; Philander et al, ; Tseng et al, ; Wu et al, ). In the recent second phase of the Coordinated Ocean‐ice Reference Experiments (CORE‐II), the NECC simulated in the stand‐alone ocean models generally tend to be weak (Tseng et al, , their Figure 19). The climatological mean zonal current speeds of the NECC from 15 different ocean models are all less than half of the observational estimate of 0.4 m/s (Johnson et al, ) at 220°E.…”
Section: Introductionmentioning
confidence: 99%
“…Even the high‐resolution KIEL model shows similar weak velocity magnitude. Although Tseng et al () identified the systematic model biases from the CORE‐II models and found that the systematic error may come mainly from the surface wind stress curl in the tropic, they did not further investigate the fundamental causes.…”
Section: Introductionmentioning
confidence: 99%