Exceptionally Strong Equatorial Intermediate Current Events in the Indian Ocean Associated with Climate Modes

Qingwen Zhong aState Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou, China
bUniversity of Chinese Academy of Sciences, Beijing, China

Search for other papers by Qingwen Zhong in
Current site
Google Scholar
PubMed
Close
,
Gengxin Chen aState Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou, China

Search for other papers by Gengxin Chen in
Current site
Google Scholar
PubMed
Close
https://orcid.org/0000-0002-6227-7334
, and
Ju Chen aState Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou, China

Search for other papers by Ju Chen in
Current site
Google Scholar
PubMed
Close
Restricted access

Abstract

Knowledge of the effects of climate modes on the equatorial intermediate current (EIC) remains limited. This paper investigates exceptional events of the EIC in the Indian Ocean and their relationships with climate modes at various time scales by using observations, reanalysis outputs, and a continuously stratified linear ocean model (LOM). A mooring at 80°E from 2015 to 2019 revealed four exceptionally strong EIC events, occurring in 2015 July–August (JA), 2016 January–February (JF), 2016 JA, and 2019 JF. Component analysis revealed that these exceptional events are attributed to the co-occurrence of the seasonal components peaking during JF and JA, as well as the larger current anomalies associated with intraseasonal and interannual components. In the intraseasonal band, the Madden–Julian oscillation (MJO) generates a significant EIC anomaly through a 40–50-day process involving equatorial waves. The MJO exerts a substantial effect when the amplitude of the MJO index exceeds 1 and the oscillation is in phase 4. In the interannual band, El Niño–Southern Oscillation and the Indian Ocean dipole (IOD) can each independently contribute to the EIC anomaly. This contribution initiates during the mature phase and persists throughout the subsequent year. Concurrent occurrences of these effects can lead to larger interannual anomalies. Notably, El Niño–positive IOD (El Niño–pIOD) and La Niña–negative IOD (La Niña–nIOD) synergies are most pronounced in August and in January of the following year.

Significance Statement

Four exceptional equatorial intermediate current (EIC) events characterized by strong eastward velocities are observed in the Indian Ocean during 2015–19. This study explored their underlying dynamics and their relationships with climate modes. Climatologically, the EIC has seasonal cycles with peaks in January–February and July–August, which is helpful in producing exceptional EIC events. However, the occurrence of these events is attributed to the intensity of the intraseasonal and interannual variability that occurs around the seasonal cycle peaks. This study revealed that climate modes, including the Madden–Julian oscillation (MJO), El Niño–Southern Oscillation (ENSO), and Indian Ocean dipole (IOD), contribute to exceptional EIC events in the intraseasonal and interannual bands. Notably, their influence is comparable, albeit contingent upon specific conditions.

© 2024 American Meteorological Society. This published article is licensed under the terms of the default AMS reuse license. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).

Corresponding author: Gengxin Chen, chengengxin@scsio.ac.cn

Abstract

Knowledge of the effects of climate modes on the equatorial intermediate current (EIC) remains limited. This paper investigates exceptional events of the EIC in the Indian Ocean and their relationships with climate modes at various time scales by using observations, reanalysis outputs, and a continuously stratified linear ocean model (LOM). A mooring at 80°E from 2015 to 2019 revealed four exceptionally strong EIC events, occurring in 2015 July–August (JA), 2016 January–February (JF), 2016 JA, and 2019 JF. Component analysis revealed that these exceptional events are attributed to the co-occurrence of the seasonal components peaking during JF and JA, as well as the larger current anomalies associated with intraseasonal and interannual components. In the intraseasonal band, the Madden–Julian oscillation (MJO) generates a significant EIC anomaly through a 40–50-day process involving equatorial waves. The MJO exerts a substantial effect when the amplitude of the MJO index exceeds 1 and the oscillation is in phase 4. In the interannual band, El Niño–Southern Oscillation and the Indian Ocean dipole (IOD) can each independently contribute to the EIC anomaly. This contribution initiates during the mature phase and persists throughout the subsequent year. Concurrent occurrences of these effects can lead to larger interannual anomalies. Notably, El Niño–positive IOD (El Niño–pIOD) and La Niña–negative IOD (La Niña–nIOD) synergies are most pronounced in August and in January of the following year.

Significance Statement

Four exceptional equatorial intermediate current (EIC) events characterized by strong eastward velocities are observed in the Indian Ocean during 2015–19. This study explored their underlying dynamics and their relationships with climate modes. Climatologically, the EIC has seasonal cycles with peaks in January–February and July–August, which is helpful in producing exceptional EIC events. However, the occurrence of these events is attributed to the intensity of the intraseasonal and interannual variability that occurs around the seasonal cycle peaks. This study revealed that climate modes, including the Madden–Julian oscillation (MJO), El Niño–Southern Oscillation (ENSO), and Indian Ocean dipole (IOD), contribute to exceptional EIC events in the intraseasonal and interannual bands. Notably, their influence is comparable, albeit contingent upon specific conditions.

© 2024 American Meteorological Society. This published article is licensed under the terms of the default AMS reuse license. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).

Corresponding author: Gengxin Chen, chengengxin@scsio.ac.cn

Supplementary Materials

    • Supplemental Materials (PDF 2.5126 MB)
Save
  • Amol, P., V. Jain, and S. G. Aparna, 2022: Blue-shifted deep ocean currents in the equatorial Indian Ocean. Climate Dyn., 59, 219229, https://doi.org/10.1007/s00382-021-06125-9.

    • Search Google Scholar
    • Export Citation
  • Bachèlery, M.-L., S. Illig, and I. Dadou, 2016: Interannual variability in the South-East Atlantic Ocean, focusing on the Benguela Upwelling System: Remote versus local forcing. J. Geophys. Res. Oceans, 121, 284310, https://doi.org/10.1002/2015JC011168.

    • Search Google Scholar
    • Export Citation
  • Brandt, P., A. Funk, V. Hormann, M. Dengler, R. J. Greatbatch, and J. M. Toole, 2011: Interannual atmospheric variability forced by the deep equatorial Atlantic Ocean. Nature, 473, 497500, https://doi.org/10.1038/nature10013.

    • Search Google Scholar
    • Export Citation
  • Brocca, L., W. Zhao, and H. Lu, 2023: High-resolution observations from space to address new applications in hydrology. The Innovation, 4, 100437, https://doi.org/10.1016/j.xinn.2023.100437.

    • Search Google Scholar
    • Export Citation
  • Chamberlain, M. A., P. R. Oke, R. A. S. Fiedler, H. M. Beggs, G. B. Brassington, and P. Divakaran, 2021: Next generation of Bluelink ocean reanalysis with multiscale data assimilation: BRAN2020. J. Earth Syst. Sci., 13, 56635688, https://doi.org/10.5194/essd-13-5663-2021.

    • Search Google Scholar
    • Export Citation
  • Chen, G., W. Han, Y. Li, D. Wang, and M. J. McPhaden, 2015: Seasonal-to-interannual time-scale dynamics of the equatorial undercurrent in the Indian Ocean. J. Phys. Oceanogr., 45, 15321553, https://doi.org/10.1175/JPO-D-14-0225.1.

    • Search Google Scholar
    • Export Citation
  • Chen, G., W. Han, Y. Li, J. Ya, and D. Wang, 2019: Intraseasonal variability of the equatorial undercurrent in the Indian Ocean. J. Phys. Oceanogr., 49, 85101, https://doi.org/10.1175/JPO-D-18-0151.1.

    • Search Google Scholar
    • Export Citation
  • Chen, G., D. Wang, W. Han, M. Feng, F. Wang, Y. Li, J. Chen, and A. L. Gordon, 2020a: The extreme El Niño events suppressing the intraseasonal variability in the eastern tropical Indian Ocean. J. Phys. Oceanogr., 50, 23592372, https://doi.org/10.1175/JPO-D-20-0041.1.

    • Search Google Scholar
    • Export Citation
  • Chen, G., and Coauthors, 2020b: Determination of spatiotemporal variability of the Indian equatorial intermediate current. J. Phys. Oceanogr., 50, 30953108, https://doi.org/10.1175/JPO-D-20-0042.1.

    • Search Google Scholar
    • Export Citation
  • Chen, G., W. Han, R. X. Huang, and D. Wang, 2024: Equatorial waves substantially modulate currents in the tropical Indian Ocean. Innovation Geosci., 2, 100053, https://doi.org/10.59717/j.xinn-geo.2024.100053.

    • Search Google Scholar
    • Export Citation
  • Chu, X., W. Han, L. Zhang, and G. Chen, 2023: Effects of climate modes on interannual variability of the equatorial currents in the Indian Ocean. Climate Dyn., 60, 36813694, https://doi.org/10.1007/s00382-022-06515-7.

    • Search Google Scholar
    • Export Citation
  • Czeschel, R., L. Stramma, F. U. Schwarzkopf, B. S. Giese, A. Funk, and J. Karstensen, 2011: Middepth circulation of the eastern tropical South Pacific and its link to the oxygen minimum zone. J. Geophys. Res., 116, C01015, https://doi.org/10.1029/2010JC006565.

    • Search Google Scholar
    • Export Citation
  • Du, Y., Y. Zhang, L.-Y. Zhang, T. Tozuka, B. Ng, and W. Cai, 2020: Thermocline warming induced extreme Indian Ocean dipole in 2019. Geophys. Res. Lett., 47, e2020GL090079, https://doi.org/10.1029/2020GL090079.

    • Search Google Scholar
    • Export Citation
  • Feng, M., M. J. McPhaden, S.-P. Xie, and J. Hafner, 2013: La Niña forces unprecedented Leeuwin current warming in 2011. Sci. Rep., 3, 1277, https://doi.org/10.1038/srep01277.

    • Search Google Scholar
    • Export Citation
  • Gent, P. R., K. O’Neill, and M. A. Cane, 1983: A model of the semiannual oscillation in the equatorial Indian Ocean. J. Phys. Oceanogr., 13, 21482160, https://doi.org/10.1175/1520-0485(1983)013<2148:AMOTSO>2.0.CO;2.

    • Search Google Scholar
    • Export Citation
  • Han, W., 2005: Origins and dynamics of the 90-day and 30–60-day variations in the equatorial Indian Ocean. J. Phys. Oceanogr., 35, 708728, https://doi.org/10.1175/JPO2725.1.

    • Search Google Scholar
    • Export Citation
  • Han, W., J. P. McCreary Jr., D. L. T. Anderson, and A. J. Mariano, 1999: Dynamics of the eastern surface jets in the equatorial Indian Ocean. J. Phys. Oceanogr., 29, 21912209, https://doi.org/10.1175/1520-0485(1999)029<2191:DOTESJ>2.0.CO;2.

    • Search Google Scholar
    • Export Citation
  • Han, W., D. M. Lawrence, and P. J. Webster, 2001: Dynamical response of equatorial Indian Ocean to intraseasonal winds: Zonal flow. Geophys. Res. Lett., 28, 42154218, https://doi.org/10.1029/2001GL013701.

    • Search Google Scholar
    • Export Citation
  • Han, W., J. P. McCreary, Y. Masumoto, J. Vialard, J. Vialard, and B. Duncan, 2011: Basin resonances in the equatorial Indian Ocean. J. Phys. Oceanogr., 41, 12521270, https://doi.org/10.1175/2011JPO4591.1.

    • Search Google Scholar
    • Export Citation
  • Han, W., G. A. Meehl, A. Hu, J. Zheng, J. Kenigson, J. Vialard, B. Rajagopalan, and Yanto, 2017: Decadal variability of the Indian and Pacific walker cells since the 1960s: Do they covary on decadal time scales? J. Climate, 30, 84478468, https://doi.org/10.1175/JCLI-D-16-0783.1.

    • Search Google Scholar
    • Export Citation
  • Hazra, A., and V. Krishnamurthy, 2018: Seasonality and mechanisms of tropical intraseasonal oscillations. Climate Dyn., 50, 179199, https://doi.org/10.1007/s00382-017-3596-y.

    • Search Google Scholar
    • Export Citation
  • Hendon, H. H., B. Liebmann, and J. D. Glick, 1998: Oceanic Kelvin waves and the Madden–Julian oscillation. J. Atmos. Sci., 55, 88101, https://doi.org/10.1175/1520-0469(1998)055<0088:OKWATM>2.0.CO;2.

    • 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.

    • Search Google Scholar
    • Export Citation
  • Huang, K., W. Han, D. Wang, W. Wang, Q. Xie, J. Chen, and G. Chen, 2018: Features of the equatorial intermediate current associated with basin resonance in the Indian Ocean. J. Phys. Oceanogr., 48, 13331347, https://doi.org/10.1175/JPO-D-17-0238.1.

    • Search Google Scholar
    • Export Citation
  • Huang, K., and Coauthors, 2022: Intensification and dynamics of the westward equatorial undercurrent during the summers of 1998 and 2016 in the Indian Ocean. Geophys. Res. Lett., 49, e2022GL100168, https://doi.org/10.1029/2022GL100168.

    • Search Google Scholar
    • Export Citation
  • Huang, P., X.-T. Zheng, X. Li, K. Hu, and Z.-Q. Zhou, 2023: More complex interactions: Continuing progress in understanding the dynamics of regional climate change under a warming climate. The Innovation, 4, 100398, https://doi.org/10.1016/j.xinn.2023.100398.

    • Search Google Scholar
    • Export Citation
  • Jain, V., and Coauthors, 2021: Two decades of current observations in the equatorial Indian Ocean. J. Earth Syst. Sci., 130, 75, https://doi.org/10.1007/s12040-021-01568-4.

    • Search Google Scholar
    • Export Citation
  • Lau, W. K.-M., and D. E. Waliser, 2005: Intraseasonal Variability in the Atmosphere–Ocean Climate System. Springer, 437 pp.

  • Li, K., F. Zheng, L. Cheng, T. Zhang, and J. Zhu, 2023: Record-breaking global temperature and crises with strong El Niño in 2023–2024. Innov. Geosci., 1, 100030100032, https://doi.org/10.59717/j.xinn-geo.2023.100030.

    • Search Google Scholar
    • Export Citation
  • Lomb, N. R., 1976: Least-squares frequency analysis of unequally spaced data. Astrophys. Space Sci., 39, 447462, https://doi.org/10.1007/BF00648343.

    • Search Google Scholar
    • Export Citation
  • Luyten, J. R., and D. H. Roemmich, 1982: Equatorial currents at semi-annual period in the Indian Ocean. J. Phys. Oceanogr., 12, 406–413, https://doi.org/10.1175/1520-0485(1982)012<0406:ECASAP>2.0.CO;2.

    • Search Google Scholar
    • Export Citation
  • Ma, Q., J. Wang, F. Wang, D. Zhang, Z. Zhang, and Y. Lyu, 2020: Interannual variability of lower equatorial intermediate current response to ENSO in the western Pacific. Geophys. Res. Lett., 47, e2020GL089311, https://doi.org/10.1029/2020GL089311.

    • Search Google Scholar
    • Export Citation
  • Madden, R. A., and P. R. Julian, 1971: Detection of a 40–50 day oscillation in the zonal wind in the tropical Pacific. J. Atmos. Sci., 28, 702708, https://doi.org/10.1175/1520-0469(1971)028<0702:DOADOI>2.0.CO;2.

    • Search Google Scholar
    • Export Citation
  • Margolskee, A., H. Frenzel, S. Emerson, and C. Deutsch, 2019: Ventilation pathways for the North Pacific oxygen deficient zone. Global Biogeochem. Cycles, 33, 875890, https://doi.org/10.1029/2018GB006149.

    • Search Google Scholar
    • Export Citation
  • Matthews, A. J., P. Singhruck, and K. J. Heywood, 2007: Deep ocean impact of a Madden–Julian Oscillation observed by Argo floats. Science, 318, 17651769, https://doi.org/10.1126/science.1147312.

    • Search Google Scholar
    • Export Citation
  • McCreary, J. P., Jr., and D. L. T. Anderson, 1984: A simple model of El Niño and the Southern Oscillation. Mon. Wea. Rev., 112, 934946, https://doi.org/10.1175/1520-0493(1984)112<0934:ASMOEN>2.0.CO;2.

    • Search Google Scholar
    • Export Citation
  • McPhaden, M. J., and Coauthors, 2009: Supplement to RAMA: The research moored array for African—Asian—Australian monsoon analysis and prediction. Bull. Amer. Meteor. Soc., 90, ES5ES8, https://doi.org/10.1175/2008BAMS2608.2.

    • Search Google Scholar
    • Export Citation
  • McPhaden, M. J., Y. Wang, and M. Ravichandran, 2015: Volume transports of the Wyrtki jets and their relationship to the Indian Ocean dipole. J. Geophys. Res. Oceans, 120, 53025317, https://doi.org/10.1002/2015JC010901.

    • Search Google Scholar
    • Export Citation
  • Ménesguen, C., A. Delpech, F. Marin, S. Cravatte, R. Schopp, and Y. Morel, 2019: Observations and mechanisms for the formation of deep equatorial and tropical circulation. Earth Space Sci., 6, 370386, https://doi.org/10.1029/2018EA000438.

    • Search Google Scholar
    • Export Citation
  • Menke, W., and J. Menke, 2016: Are my results significant? Environmental Data Analysis with MATLAB, 2nd ed. W. Menke and J. Menke, Eds., Academic Press, 269–294.

  • Peng, X., W. Zhang, K. Schnabel, D. Leduc, H. Xu, H. Zhang, H. Zhang, and A. Rowden, 2023: Unveiling the mysteries of the Kermadec Trench. The Innovation, 4, 100367, https://doi.org/10.1016/j.xinn.2022.100367.

    • Search Google Scholar
    • Export Citation
  • Petris, G., S. Petrone, and P. Campagnoli, 2009: Dynamic linear models. Dynamic Linear Models with R, P. Campagnoli, S. Petrone, and G. Petris, Eds., Springer, 31–84.

  • Phillips, H. E., and Coauthors, 2021: Progress in understanding of Indian Ocean circulation, variability, air–sea exchange, and impacts on biogeochemistry. Ocean Sci., 17, 16771751, https://doi.org/10.5194/os-17-1677-2021.

    • Search Google Scholar
    • Export Citation
  • Pohl, B., and P. Camberlin, 2011: Intraseasonal and interannual zonal circulations over the equatorial Indian Ocean. Theor. Appl. Climatol., 104, 175191, https://doi.org/10.1007/s00704-010-0336-1.

    • Search Google Scholar
    • Export Citation
  • Pujiana, K., A. L. Gordon, and J. Sprintall, 2013: Intraseasonal Kelvin wave in Makassar Strait. J. Geophys. Res. Oceans, 118, 20232034, https://doi.org/10.1002/jgrc.20069.

    • Search Google Scholar
    • Export Citation
  • Sabu, P., J. V. George, N. Anilkumar, R. Chacko, V. Valsala, and C. T. Achuthankutty, 2015: Observations of watermass modification by mesoscale eddies in the subtropical frontal region of the Indian Ocean sector of Southern Ocean. Deep-Sea Res. II, 118, 152161, https://doi.org/10.1016/j.dsr2.2015.04.010.

    • Search Google Scholar
    • Export Citation
  • Scargle, J. D., 1982: Studies in astronomical time series analysis. II. Statistical aspects of spectral analysis of unevenly spaced data. Astrophys. J., 263, 835853, https://doi.org/10.1086/160554.

    • Search Google Scholar
    • Export Citation
  • Susanto, R. D., A. L. Gordon, and Q. Zheng, 2001: Upwelling along the coasts of Java and Sumatra and its relation to ENSO. Geophys. Res. Lett., 28, 15991602, https://doi.org/10.1029/2000GL011844.

    • Search Google Scholar
    • Export Citation
  • Teague, W. J., H. W. Wijesekera, D. W. Wang, and Z. R. Hallock, 2022: Current observations on and around a deep-ocean island/reef: Northern Palau and Velasco Reef. J. Oceanogr., 78, 425447, https://doi.org/10.1007/s10872-022-00647-4.

    • Search Google Scholar
    • Export Citation
  • Thomson, R. E., E. E. Davis, M. Heesemann, and H. Villinger, 2010: Observations of long-duration episodic bottom currents in the Middle America Trench: Evidence for tidally initiated turbidity flows. J. Geophys. Res., 115, C10020, https://doi.org/10.1029/2010JC006166.

    • Search Google Scholar
    • Export Citation
  • VanderPlas, J. T., 2018: Understanding the Lomb–Scargle periodogram. Astrophys. J., 236, 16, https://doi.org/10.3847/1538-4365/aab766.

    • Search Google Scholar
    • Export Citation
  • Verhoef, W., 1996: Application of Harmonic Analysis of NDVI Time Series (HANTS). Fourier Analysis of Temporal NDVI in the Southern African and American Continents, Vol. 108, Netherlands Remote Sensing Board, 19–24.

  • Wang, J., Q. Ma, F. Wang, and D. Zhang, 2021: Linking seasonal-to-interannual variability of intermediate currents in the southwest tropical Pacific to wind forcing and ENSO. Geophys. Res. Lett., 48, e2020GL092440, https://doi.org/10.1029/2021GL092440.

    • Search Google Scholar
    • Export Citation
  • Wang, L., B. Zuo, Y. Le, Y. Chen, and J. Li, 2023: Penetrating remote sensing: Next-generation remote sensing for transparent earth. The Innovation, 4, 100519, https://doi.org/10.1016/j.xinn.2023.100519.

    • Search Google Scholar
    • Export Citation
  • Wang, S., D. Ma, A. H. Sobel, and M. K. Tippett, 2018: Propagation characteristics of BSISO indices. Geophys. Res. Lett., 45, 99349943, https://doi.org/10.1029/2018GL078321.

    • Search Google Scholar
    • Export Citation
  • Wentz, F. J., J. Scott, R. Hoffman, M. Leidner, R. Atlas, and J. Ardizzone, 2016: Cross-Calibrated Multi-Platform ocean surface wind vector analysis product v2, 1987 - ongoing. NCAR Computational and Information Systems Laboratory, accessed 5 August 2021, https://doi.org/10.5065/4TSY-K140.

  • Wheeler, M. C., and H. H. Hendon, 2004: An all-season real-time multivariate MJO index: Development of an index for monitoring and prediction. Mon. Wea. Rev., 132, 19171932, https://doi.org/10.1175/1520-0493(2004)132<1917:AARMMI>2.0.CO;2.

    • Search Google Scholar
    • Export Citation
  • Xie, S.-P., H. Annamalai, F. A. Schott, and J. P. McCreary Jr., 2002: Structure and mechanisms of South Indian Ocean climate variability. J. Climate, 15, 864878, https://doi.org/10.1175/1520-0442(2002)015<0864:SAMOSI>2.0.CO;2.

    • Search Google Scholar
    • Export Citation
  • Xu, X., L. Wang, and W. Yu, 2021: The unique mean seasonal cycle in the Indian Ocean anchors its various air-sea coupled modes across the basin. Sci. Rep., 11, 5632, https://doi.org/10.1038/s41598-021-84936-w.

    • Search Google Scholar
    • Export Citation
  • Yang, X., and P. Huang, 2021: Restored relationship between ENSO and Indian summer monsoon rainfall around 1999/2000. Innovation, 2, 100102, https://doi.org/10.1016/j.xinn.2021.100102.

    • Search Google Scholar
    • Export Citation
  • Yu, W., B. Xiang, L. Liu, and N. Liu, 2005: Understanding the origins of interannual thermocline variations in the tropical Indian Ocean. Geophys. Res. Lett., 32, L24706, https://doi.org/10.1029/2005GL024327.

    • Search Google Scholar
    • Export Citation
  • Yuan, D., W. Han, and D. Hu, 2006: Surface Kuroshio path in the Luzon Strait area derived from satellite remote sensing data. J. Geophys. Res., 111, C11007, https://doi.org/10.1029/2005JC003412.

    • Search Google Scholar
    • Export Citation
  • Yuan, X., C. C. Ummenhofer, H. Seo, and Z. Su, 2020: Relative contributions of heat flux and wind stress on the spatiotemporal upper-ocean variability in the tropical Indian Ocean. Environ. Res. Lett., 15, 084047, https://doi.org/10.1088/1748-9326/ab9f7f.

    • Search Google Scholar
    • Export Citation
  • Zeng, L., and Coauthors, 2021: A decade of eastern Tropical Indian Ocean Observation Network (TIOON). Bull. Amer. Meteor. Soc., 102, E2034E2052, https://doi.org/10.1175/BAMS-D-19-0234.1.

    • Search Google Scholar
    • Export Citation
  • Zhang, C., 2005: Madden-Julian Oscillation. Rev. Geophys., 43, RG2003, https://doi.org/10.1029/2004RG000158.

  • Zhang, X., and W. Han, 2020: Effects of climate modes on interannual variability of upwelling in the tropical Indian Ocean. J. Climate, 33, 15471573, https://doi.org/10.1175/JCLI-D-19-0386.1.

    • Search Google Scholar
    • Export Citation
  • Zhong, Q., G. Chen, and J. Chen, 2023: Intraseasonal variability of the equatorial intermediate current in the eastern Indian Ocean. Deep-Sea Res. I, 192, 103938, https://doi.org/10.1016/j.dsr.2022.103938.

    • Search Google Scholar
    • Export Citation
  • Zhu, B., and B. Wang, 1993: The 30–60-day convection seesaw between the tropical Indian and western Pacific Oceans. J. Atmos. Sci., 50, 184199, https://doi.org/10.1175/1520-0469(1993)050<0184:TDCSBT>2.0.CO;2.

    • Search Google Scholar
    • Export Citation
  • Zuo, H., M. A. Balmaseda, S. Tietsche, K. Mogensen, and M. Mayer, 2019: The ECMWF operational ensemble reanalysis–analysis system for ocean and sea ice: A description of the system and assessment. Ocean Sci., 15, 779808, https://doi.org/10.5194/os-15-779-2019.

    • Search Google Scholar
    • Export Citation
All Time Past Year Past 30 Days
Abstract Views 27634 27634 17766
Full Text Views 266 266 91
PDF Downloads 310 310 88