• Balmaseda, M. A., K. Mogensen, and A. T. Weaver, 2013: Evaluation of the ECMWF ocean reanalysis system ORAS4. Quart. J. Roy. Meteor. Soc., 139, 11321161, https://doi.org/10.1002/qj.2063.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Boulanger, J. P., P. Delécluse, C. Maes, and C. Lévy, 1997: Long equatorial waves in a high-resolution OGCM simulation of the tropical Pacific Ocean during the 1985–94 TOGA period. Mon. Wea. Rev., 125, 972984, https://doi.org/10.1175/1520-0493(1997)125<0972:LEWIAH>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Bretherton, C. S., M. Widmann, V. P. Dymnikov, J. M. Wallace, and I. Bladé, 1999: The effective number of spatial degrees of freedom of a time-varying field. J. Climate, 12, 19902009, https://doi.org/10.1175/1520-0442(1999)012<1990:TENOSD>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Capotondi, A., and Coauthors, 2015: Understanding ENSO diversity. Bull. Amer. Meteor. Soc., 96, 921938, https://doi.org/10.1175/BAMS-D-13-00117.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Chelton, D. B., R. A. deSzoeke, M. G. Schlax, K. El Naggar, and N. Siwertz, 1998: Geographical variability of the first-baroclinic Rossby radius of deformation. J. Phys. Oceanogr., 28, 433460, https://doi.org/10.1175/1520-0485(1998)028<0433:GVOTFB>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Chen, S., and B. Qiu, 2004: Seasonal variability of the south equatorial countercurrent. J. Geophys. Res., 109, C08003, https://doi.org/10.1029/2003JC002243.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Chu, P. C., 1995: P-vector method for determining absolute velocity from hydrographic data. Mar. Technol. Soc. J., 29, 314.

  • Davis, R. E., W. S. Kessler, and J. T. Sherman, 2012: Gliders measure western boundary current transport from the south pacific to the equator. J. Phys. Oceanogr., 42, 20012013, https://doi.org/10.1175/JPO-D-12-022.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Dee, D. P., and Coauthors, 2011: The ERA-Interim reanalysis: Configuration and performance of the data assimilation system. Quart. J. Roy. Meteor. Soc., 137, 553597, https://doi.org/10.1002/qj.828.

    • Search Google Scholar
    • Export Citation
  • Dewitte, B., G. Reverdin, and C. Maes, 1999: Vertical structure of an OGCM simulation of the equatorial Pacific Ocean in 1985–94. J. Phys. Oceanogr., 29, 15421570, https://doi.org/10.1175/1520-0485(1999)029<1542:VSOAOS>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • England, M., and Coauthors, 2014: Recent intensification of wind-driven circulation in the Pacific and the ongoing warming hiatus. Nat. Climate Change, 4, 222227, https://doi.org/10.1038/nclimate2106.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Fenty, I., D. Menemenlis, and H. Zhang, 2017: Global coupled sea ice-ocean state estimation. Climate Dyn., 49, 931956, https://doi.org/10.1007/s00382-015-2796-6.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Fine, R. A., R. Lukas, F. M. Bingham, M. J. Warner, and R. H. Gammon, 1994: The western equatorial Pacific: A water mass crossroads. J. Geophys. Res. Oceans, 99, 25 06325 080, https://doi.org/10.1029/94JC02277.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Ganachaud, A., and Coauthors, 2014: The Southwest Pacific Ocean Circulation and Climate Experiment (SPICE). J. Geophys. Res. Oceans, 119, 76607686, https://doi.org/10.1002/2013JC009678.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Gasparin, F., A. Ganachaud, C. Maes, F. Marin, and G. Eldin, 2012: Oceanic transports through the Solomon Sea: The bend of the New Guinea coastal undercurrent. Geophys. Res. Lett., 39, L15608, https://doi.org/10.1029/2012GL052575.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Gordon, A. L., and R. A. Fine, 1996: Pathways of water between the Pacific and Indian oceans in the Indonesian seas. Nature, 379, 146149, https://doi.org/10.1038/379146a0.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Grenier, M., S. Cravatte, B. Blanke, C. Menkes, A. Koch-Larrouy, F. Durand, A. Melet, and C. Jeandel, 2011: From the western boundary currents to the pacific equatorial undercurrent: modeled pathways and water mass evolutions. J. Geophys. Res., 116, C12044, https://doi.org/10.1029/2011JC007477.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Hsin, Y. C., and B. Qiu, 2012: Seasonal fluctuations of the surface North Equatorial Countercurrent (NECC) across the pacific basin. J. Geophys. Res., 117, C06001, https://doi.org/10.1029/2011JC007794.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Hu, D., and Coauthors, 2015: Pacific western boundary currents and their roles in climate. Nature, 522, 299308, https://doi.org/10.1038/nature14504.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Johnson, G. C., B. M Sloyan, W. S. Kessler, and K. E McTaggart, 2002: Direct measurements of upper ocean currents and water properties across the tropical Pacific during the 1990s. Prog. Oceanogr., 52, 3161, https://doi.org/10.1016/S0079-6611(02)00021-6.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Kessler, W. S., 1990: Observations of long Rossby waves in the northern tropical Pacific. J. Geophys. Res., 95, 51835217, https://doi.org/10.1029/JC095iC04p05183.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Kessler, W. S., 2006: The circulation of the eastern tropical pacific: A review. Prog. Oceanogr., 69, 181217, https://doi.org/10.1016/j.pocean.2006.03.009.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Kessler, W. S., and S. Cravatte, 2013: ENSO and short-term variability of the South Equatorial Current entering the Coral Sea. J. Phys. Oceanogr., 43, 956969, https://doi.org/10.1175/JPO-D-12-0113.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Kessler, W. S., and L. Gourdeau, 2007: The annual cycle of circulation of the southwest subtropical Pacific, analyzed in an ocean GCM. J. Phys. Oceanogr., 37, 16101627, https://doi.org/10.1175/JPO3046.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Kessler, W. S., and M. J. McPhaden, 1995: Oceanic equatorial waves and the 1991–93 El Niño. J. Climate, 8, 17571774, https://doi.org/10.1175/1520-0442(1995)008<1757:OEWATE>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Kessler, W. S., G. C. Johnson, and D. W. Moore, 2003: Sverdrup and nonlinear dynamics of the Pacific equatorial currents. J. Phys. Oceanogr., 33, 9941008, https://doi.org/10.1175/1520-0485(2003)033<0994:SANDOT>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Kosaka, Y., and S. P. Xie, 2013: Recent global-warming hiatus tied to equatorial Pacific surface cooling. Nature, 501, 403407, https://doi.org/10.1038/nature12534.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Lagerloef, G. S. E., G. T. Mitchum, R. B. Lukas, and P. P. Niiler, 1999: Tropical Pacific near-surface currents estimated from altimeter, wind, and drifter data. J. Geophys. Res., 104, 23 31323 326, https://doi.org/10.1029/1999JC900197.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Lee, S. K., W. Park, M. O. Baringer, A. L. Gordon, B. Huber, and Y. Liu, 2015: Pacific origin of the abrupt increase in Indian Ocean heat content during the warming hiatus. Nat. Geosci., 8, 445449, https://doi.org/10.1038/ngeo2438.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Liu, X., and Zhou, H., 2020: Seasonal variations of the North Equatorial Current across the Pacific Ocean. J. Geophys. Res. Oceans, 125, e2019JC015895, https://doi.org/10.1029/2019JC015895.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Liu, H., H. Zhou, W. Yang, X. Liu, Y. Li, Y. Yang, X. Chen, and X. Li, 2021: A three-dimensional gravest empirical mode determined from hydrographic observations in the western equatorial Pacific Ocean. J. Mar. Syst., 214, 103487, https://doi.org/10.1016/j.jmarsys.2020.103487.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Locarnini, R. A., and Coauthors, 2019: Temperature. Vol. 1, World Ocean Atlas 2018, NOAA Atlas NESDIS 81, 52 pp., https://data.nodc.noaa.gov/woa/WOA18/DOC/woa18_vol1.pdf.

  • Lumpkin, R., and G. C. Johnson, 2013: Global ocean surface velocities from drifters: Mean, variance, El Niño–Southern Oscillation response, and seasonal cycle. J. Geophys. Res. Oceans, 118, 29923006, https://doi.org/10.1002/jgrc.20210.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Menemenlis, D., J. Campin, P. Heimbach, C. Hill, T. Lee, A. Nguygen, M. Schodlock, and H. Zhang, 2008: ECCO2: high resolution global ocean and sea ice data synthesis. Mercator Ocean Quarterly Newsletter, No. 31, Mercator-Ocean, Ramonville-Saint-Agne, France, 1321.

    • Search Google Scholar
    • Export Citation
  • Meyers, G., 1979: On the annual Rossby wave in the tropical North Pacific Ocean. J. Phys. Oceanogr., 9, 663674, https://doi.org/10.1175/1520-0485(1979)009<0663:OTARWI>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Qiu, B., and R. Lukas, 1996: Seasonal and interannual variability of the North Equatorial Current, the Mindanao Current, and the Kuroshio along the Pacific western boundary. J. Geophys. Res., 101, 12 31512 330, https://doi.org/10.1029/95JC03204.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Rio, M. H., and F. Hernandez, 2004: A mean dynamic topography computed over the world ocean from altimetry, in situ measurements, and a geoid model. J. Geophys. Res., 109, C12032, https://doi.org/10.1029/2003JC002226.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Riser, S. C., and Coauthors, 2016: Fifteen years of ocean observations with the global Argo array. Nat. Climate Change, 6, 145153, https://doi.org/10.1038/nclimate2872.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Roemmich, D., and J. Gilson, 2009: The 2004–2008 mean and annual cycle of temperature, salinity, and steric height in the global ocean from the Argo Program. Prog. Oceanogr., 82, 81100, https://doi.org/10.1016/j.pocean.2009.03.004.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Singh, A., and T. Delcroix, 2013: Eastern and central Pacific ENSO and their relationships to the recharge/discharge oscillator paradigm. Deep-Sea Res. I, 82, 3243, https://doi.org/10.1016/j.dsr.2013.08.002.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Sprintall, J., and A. Révelard, 2014: The Indonesian Throughflow response to Indo‐Pacific climate variability. J. Geophys. Res. Oceans, 119, 11611175, https://doi.org/10.1002/2013JC009533.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Tan, S., and H. Zhou, 2018: The observed impacts of the two types of El Nino on the North Equatorial Countercurrent in the Pacific Ocean. Geophys. Res. Lett., 45, 10 49310 500, https://doi.org/10.1029/2018GL079273.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Wyrtki, K., 1974a: Sea level and the seasonal fluctuations of the equatorial currents in the western Pacific Ocean. J. Phys. Oceanogr., 4, 91103, https://doi.org/10.1175/1520-0485(1974)004<0091:SLATSF>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Wyrtki, K., 1974b: Equatorial currents in the Pacific 1950 to 1970 and their relations to the trade winds. J. Phys. Oceanogr., 4, 372380, https://doi.org/10.1175/1520-0485(1974)004<0372:ECITPT>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Yang, L., and D. Yuan, 2016: Absolute geostrophic currents in global tropical oceans. Chin. J. Oceanol. Limnol., 34, 13831393, https://doi.org/10.1007/s00343-016-5092-3.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Yang, L., Z. Lei, S. Li, and Z. Wei, 2018: Spreading of the South Pacific tropical water and Antarctic Intermediate Water over the Maritime Continent. J. Geophys. Res. Oceans, 123, 44234446, https://doi.org/10.1029/2018JC013831.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Yang, Y., X. Li, J. Wang, and D. L. Yuan, 2020: Seasonal variability and dynamics of the Pacific North Equatorial Subsurface Current. J. Phys. Oceanogr., 50, 24572474, https://doi.org/10.1175/JPO-D-19-0261.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Yuan, D., Z. Zhang, P. C. Chu, and W. K. Dewar, 2014: Geostrophic circulation in the tropical North Pacific Ocean based on Argo profiles. J. Phys. Oceanogr., 44, 558575, https://doi.org/10.1175/JPO-D-12-0230.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Zhai, F., and D. Hu, 2013: Revisit the interannual variability of the North Equatorial Current transport with ECMWF ORA-S3. J. Geophys. Res. Oceans, 118, 13491366, https://doi.org/10.1002/jgrc.20093.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Zhang, X., and A. J. Clarke, 2017: On the dynamical relationship between equatorial Pacific surface currents, zonally averaged equatorial sea level, and El Niño prediction. J. Phys. Oceanogr., 47, 323337, https://doi.org/10.1175/JPO-D-16-0193.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Zhou, H., D. Yuan, L. Yang, X. Li, and W. K. Dewar, 2018: Decadal variability of the meridional geostrophic transport in the upper tropical North Pacific Ocean. J. Climate, 31, 58915910, https://doi.org/10.1175/JCLI-D-17-0639.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Zweng, M. M., and Coauthors, 2019: Salinity. Vol. 2, World Ocean Atlas 2018, NOAA Atlas NESDIS 82, 50 pp., https://data.nodc.noaa.gov/woa/WOA18/DOC/woa18_vol2.pdf.

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Seasonal Variability of the Pacific South Equatorial Current during the Argo Era

Lina YangaLaboratory for Coastal Ocean Variation and Disaster Prediction, College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang, China
bKey Laboratory of Climate, Resources and Environment in Continental Shelf Sea and Deep Sea of Department of Education of Guangdong Province, Zhanjiang, China
cKey Laboratory of Space Ocean Remote Sensing and Application, Ministry of Natural Resources, Beijing, China

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Raghu MurtuguddedEarth System Science Interdisciplinary Center, University of Maryland, College Park, College Park, Maryland

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Shaojun ZhengaLaboratory for Coastal Ocean Variation and Disaster Prediction, College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang, China
bKey Laboratory of Climate, Resources and Environment in Continental Shelf Sea and Deep Sea of Department of Education of Guangdong Province, Zhanjiang, China
cKey Laboratory of Space Ocean Remote Sensing and Application, Ministry of Natural Resources, Beijing, China

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Peng LiangaLaboratory for Coastal Ocean Variation and Disaster Prediction, College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang, China
bKey Laboratory of Climate, Resources and Environment in Continental Shelf Sea and Deep Sea of Department of Education of Guangdong Province, Zhanjiang, China
cKey Laboratory of Space Ocean Remote Sensing and Application, Ministry of Natural Resources, Beijing, China

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Wei TaneCollege of Ocean Science and Engineering, Shandong University of Science and Technology, Qingdao, China

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Lei WangaLaboratory for Coastal Ocean Variation and Disaster Prediction, College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang, China
bKey Laboratory of Climate, Resources and Environment in Continental Shelf Sea and Deep Sea of Department of Education of Guangdong Province, Zhanjiang, China
cKey Laboratory of Space Ocean Remote Sensing and Application, Ministry of Natural Resources, Beijing, China

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Baoxin FengaLaboratory for Coastal Ocean Variation and Disaster Prediction, College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang, China
bKey Laboratory of Climate, Resources and Environment in Continental Shelf Sea and Deep Sea of Department of Education of Guangdong Province, Zhanjiang, China
cKey Laboratory of Space Ocean Remote Sensing and Application, Ministry of Natural Resources, Beijing, China

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Tianyu ZhangaLaboratory for Coastal Ocean Variation and Disaster Prediction, College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang, China
bKey Laboratory of Climate, Resources and Environment in Continental Shelf Sea and Deep Sea of Department of Education of Guangdong Province, Zhanjiang, China
cKey Laboratory of Space Ocean Remote Sensing and Application, Ministry of Natural Resources, Beijing, China

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Abstract

The tropical Pacific currents from January 2004 to December 2018 are computed based on the gridded Argo temperatures and salinities using the P-vector method on an f plane and the geostrophic approximation on a β plane. Three branches of the South Equatorial Current (SEC) are identified, i.e., SEC(N) (2°S–5°N), SEC(M) (7°–3°S), and SEC(S) (20°–8°S), with the maximum zonal velocity of −55 cm s−1 and total volume transport of −49.8 Sv (1 Sv ≡ 106 m3 s−1) occurring in the central-east Pacific. The seasonal variability of each branch shows a distinct and different westward propagation of zonal current anomalies, which are well mirrored by the SLA differences between 2°S and 5°N, between 3°S and 6°S, and between 8°S and 15°S, respectively. Most of the seasonal variations are successfully simulated by a simple analytical Rossby wave model, highlighting the significance of the first-mode baroclinic, linear Rossby waves, particularly those driven by the wind stress curl in the central-east Pacific. However, the linear theory fails to explain the SEC(M) variations in certain months in the central-east Pacific, where the first baroclinic mode contributes only around 50% of the explained variance to the equatorial surface currents. A nonlinear model involving higher baroclinic modes is suggested for a further diagnosis. Considering the crucial role played by the tropical Pacific in the natural climate variability via the El Niño–Southern Ocean dynamics and the ocean response to anthropogenic forcing via the ocean heat uptake in the eastern tropical Pacific, advancing the process understanding of the SEC from observations is critical.

© 2022 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).

Corresponding author: Peng Liang, liangpeng0405@gmail.com

Abstract

The tropical Pacific currents from January 2004 to December 2018 are computed based on the gridded Argo temperatures and salinities using the P-vector method on an f plane and the geostrophic approximation on a β plane. Three branches of the South Equatorial Current (SEC) are identified, i.e., SEC(N) (2°S–5°N), SEC(M) (7°–3°S), and SEC(S) (20°–8°S), with the maximum zonal velocity of −55 cm s−1 and total volume transport of −49.8 Sv (1 Sv ≡ 106 m3 s−1) occurring in the central-east Pacific. The seasonal variability of each branch shows a distinct and different westward propagation of zonal current anomalies, which are well mirrored by the SLA differences between 2°S and 5°N, between 3°S and 6°S, and between 8°S and 15°S, respectively. Most of the seasonal variations are successfully simulated by a simple analytical Rossby wave model, highlighting the significance of the first-mode baroclinic, linear Rossby waves, particularly those driven by the wind stress curl in the central-east Pacific. However, the linear theory fails to explain the SEC(M) variations in certain months in the central-east Pacific, where the first baroclinic mode contributes only around 50% of the explained variance to the equatorial surface currents. A nonlinear model involving higher baroclinic modes is suggested for a further diagnosis. Considering the crucial role played by the tropical Pacific in the natural climate variability via the El Niño–Southern Ocean dynamics and the ocean response to anthropogenic forcing via the ocean heat uptake in the eastern tropical Pacific, advancing the process understanding of the SEC from observations is critical.

© 2022 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).

Corresponding author: Peng Liang, liangpeng0405@gmail.com
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