Abstract
We investigate the relative importance of spring sea surface temperatures (SSTs) in different Indian Ocean (IO) domains, especially the northern and southern IO, for the development and intensity of the Asian summer monsoon. By performing unsupervised neural network analysis, the self-organizing map, we extract distinct patterns of springtime IO SST. The results show that the uniform warming (cooling) of the southern IO plays a crucial role in the warming (cooling) of both the basin-wide IO and tropical IO. The southern IO thus well represents the associations of basin-wide IO and tropical IO with the Asian summer monsoon, and is instrumental in the relationship between the IO and summer monsoon. A warming in the southern IO is closely related to the weakening of large-scale meridional monsoon circulation in May and summer (June–August), including suppression of the South Asian monsoon development in May and the East Asian monsoon in summer. On the other hand, a warming in the northern IO appears to be associated with an earlier South Asian monsoon onset and a stronger East Asian monsoon. In summer, the connection of the springtime IO SST with the South Asian monsoon weakens, but that with the East Asian monsoon strengthens. Finally, a robust negative correlation is found between the warming of various IO domains and the development and intensity of the Southeast Asian monsoon.
References
Adler, R. F., G. J. Huffman, A. Chang, et al., 2003: The version-2 Global Precipitation Climatology Project (GPCP) monthly precipitation analysis (1979–present). J. Hydrometeor., 4, 1147–1167, doi: https://doi.org/10.1175/1525-7541(2003)004<1147:TVGP-CP>2.0.CO;2.
Arpe, K., L. Dümenil, and M. A. Giorgetta, 1998: Variability of the Indian monsoon in the ECHAM3 model: Sensitivity to sea surface temperature, soil moisture, and the stratospheric quasi-biennial oscillation. J. Climate, 11, 1837–1858, doi: https://doi.org/10.1175/1520-0442(1998)011<1837:votimi>2.0.co;2.
Ashok, K., Z. Y. Guan, and T. Yamagata, 2001: Impact of the Indian Ocean dipole on the relationship between the Indian monsoon rainfall and ENSO. Geophys. Res. Lett., 28, 4499–4502, doi: https://doi.org/10.1029/2001g1013294.
Behera, S. K., and T. Yamagata, 2003: Influence of the Indian Ocean dipole on the Southern Oscillation. J. Meteor. Soc. Japan Ser. II, 81, 169–177, doi: https://doi.org/10.2151/jmsj.81.169.
Behera, S. K., R. Krishnan, and T. Yamagata, 1999: Unusual ocean-atmosphere conditions in the tropical Indian Ocean during 1994. Geophys. Res. Lett., 26, 3001–3004, doi: https://doi.org/10.1029/1999GL010434.
Benjamini, Y., and Y. Hochberg, 1995: Controlling the false discovery rate: A practical and powerful approach to multiple testing. J. Roy. Stat. Soc. Ser. B (Methodol.), 51, 289–300, doi: https://doi.org/10.1111/j.2517-6161.1995.tb02031.x.
Cai, Y. N., Z. S. Chen, and Y. Du, 2022: The role of Indian Ocean warming on extreme rainfall in central China during early summer 2020: Without significant El Niño influence. Climate Dyn., 59, 951–960, doi: https://doi.org/10.1007/s00382-022-06165-9.
Chen, Z. S., Y. Du, Z. P. Wen, et al., 2019: Evolution of south tropical Indian Ocean warming and the climatic impacts following strong El Niño events. J. Climate, 32, 7329–7347, doi: https://doi.org/10.1175/jcli-d-18-0704.1.
Chen, Z. S., Z. N. Li, Y. Du, et al., 2021: Trans-basin influence of southwest tropical Indian Ocean warming during early boreal summer. J. Climate, 34, 9679–9691, doi: https://doi.org/10.1175/JCLI-D-20-0925.1.
Christiansen, B., 2007: Atmospheric circulation regimes: Can cluster analysis provide the number? J. Climate, 20, 2229–2250, doi: https://doi.org/10.1175/JCLI4107.1.
Clark, C. O., J. E. Cole, and P. J. Webster, 2000: Indian Ocean SST and Indian summer rainfall: Predictive relationships and their decadal variability. J. Climate, 13, 2503–2519, doi: https://doi.org/10.1175/1520-0442(2000)013<2503:IOSAIS>2.0.CO;2.
Ding, Q. H., and B. Wang, 2005: Circumglobal teleconnection in the Northern Hemisphere summer. J. Climate, 18, 3483–3505, doi: https://doi.org/10.1175/JCLI3473.1.
Gill, A. E., 1980: Some simple solutions for heat-induced tropical circulation. Quart. J. Roy. Meteor. Soc., 106, 447–462, doi: https://doi.org/10.1002/qj.49710644905.
Goswami, B. N., V. Krishnamurthy, and H. Annmalai, 1999: A broad-scale circulation index for the interannual variability of the Indian summer monsoon. Quart. J. Roy. Meteor. Soc., 125, 611–633, doi: https://doi.org/10.1002/qj.49712555412.
Guan, Z. Y., and T. Yamagata, 2003: The unusual summer of 1994 in East Asia: IOD teleconnections. Geophys. Res. Lett., 30, 1544, doi: https://doi.org/10.1029/2002GL016831.
Guan, Z. Y., K. Ashok, and T. Yamagata, 2003: Summertime response of the tropical atmosphere to the Indian Ocean dipole sea surface temperature anomalies. J. Meteor. Soc. Japan Ser. II, 81, 533–561, doi: https://doi.org/10.2151/jmsj.81.533.
Guo, Y. Y., M. F. Ting, Z. P. Wen, et al., 2017: Distinct patterns of tropical Pacific SST anomaly and their impacts on North American climate. J. Climate, 30, 5221–5241, doi: https://doi.org/10.1175/jcli-d-16-0488.1.
Han, W. Q., J. Vialard, M. J. McPhaden, et al., 2014: Indian Ocean decadal variability: A review. Bull. Amer. Meteor. Soc., 95, 1679–1703. doi: https://doi.org/10.1175/BAMS-D-13-00028.1.
He, J. H., and Q. G. Zhu, 1996: TBB data-revealed features of Asian–Australian monsoon seasonal transition and Asian summer monsoon establishment. J. Trop. Meteor., 12, 34–42. (in Chinese)
He, K. J., G. Liu, R. G. Wu, et al., 2022: Oceanic and land relay effects linking spring tropical Indian Ocean sea surface temperature and summer Tibetan Plateau precipitation. Atmos. Res., 266, 105953, doi: https://doi.org/10.1016/j.atmosres.2021.105953.
Hewitson, B. C., and R. G. Crane, 2002: Self-organizing maps: Applications to synoptic climatology. Climate Res., 22, 13–26, doi: https://doi.org/10.3354/cr022013.
Hu, H. B., X. Y. Hong, Y. Zhang, et al., 2013: Remote forcing of Indian Ocean warming on Northwest Pacific during El Niño decaying years: A FOAM model approach. Chinese J. Oceanol. Limnol., 31, 1375–1383, doi: https://doi.org/10.1007/s00343-013-3075-1.
Johnson, N. C., 2013: How many ENSO flavors can we distinguish? J. Climate, 26, 4816–4827, doi: https://doi.org/10.1175/jcli-d-12-00649.1.
Johnson, N. C., S. B. Feldstein, and B. Tremblay, 2008: The continuum of Northern Hemisphere teleconnection patterns and a description of the NAO shift with the use of self-organizing maps. J. Climate, 21, 6354–6371, doi: https://doi.org/10.1175/2008JCLI2380.1.
Ju, J. H., and J. Slingo, 1995: The Asian summer monsoon and ENSO. Quart. J. Roy. Meteor. Soc., 121, 1133–1168, doi: https://doi.org/10.1002/qj.49712152509.
Kalnay, E., M. Kanamitsu, R. Kistler, et al., 1996: The NCEP/ NCAR 40-year reanalysis project. Bull. Amer. Meteor. Soc., 77, 437–472, doi: https://doi.org/10.1175/1520-0477(1966)077<0437:TN YRP>2.0.CO;2.
Klein, S. A., B. J. Soden, and N.-C. Lau, 1999: Remote sea surface temperature variations during ENSO: Evidence for a tropical atmospheric bridge. J. Climate, 12, 917–932, doi: https://doi.org/10.1175/1520-0442(1999)012<0917:RSSTVD>2.0.CO;2.
Kohonen, T., 1998: The self-organizing map. Neurocomputing, 21, 1–6, doi: https://doi.org/10.1016/S0925-2312(98)00030-7.
Lau, K. M., and S. Yang, 1997: Climatology and interannual variability of the Southeast Asian summer monsoon. Adv. Atmos. Sci., 14, 141–162, doi: https://doi.org/10.1007/s00376-997-0016-y.
Lau, K.-M., K.-M. Kim, and S. Yang, 2000: Dynamical and boundary forcing characteristics of regional components of the Asian summer monsoon. J. Climate, 13, 2461–2482, doi: https://doi.org/10.1175/1520-0442(2000)013<2461:dabfco>2.0.co;2.
Leloup, J. A., Z. Lachkar, J.-P. Boulanger, et al., 2007: Detecting decadal changes in ENSO using neural networks. Climate Dyn., 28, 147–162, doi: https://doi.org/10.1007/s00382-006-0173-1.
Levine, R. C., and A. G. Turner, 2012: Dependence of Indian monsoon rainfall on moisture fluxes across the Arabian Sea and the impact of coupled model sea surface temperature biases. Climate Dyn., 38, 2167–2190, doi: https://doi.org/10.1007/s003822-011-1096-z.
Li, C. Y., and M. Q. Mu, 2001: The influence of the Indian Ocean dipole on atmospheric circulation and climate. Adv. Atmos. Sci., 18, 831–843, doi: https://doi.org/10.1007/bf03403506.
Li, S. L., J. Lu, G. Huang, et al., 2008: Tropical Indian Ocean basin warming and East Asian summer monsoon: A multiple AGCM study. J. Climate, 21, 6080–6088, doi: https://doi.org/10.1175/2008jcli2433.1.
Li, X., C. Y. Li, J. Ling, et al., 2015: The relationship between contiguous El Niño and La Niña revealed by self-organizing maps. J. Climate, 28, 8118–8134, doi: https://doi.org/10.1175/jcli-d-15-0123.1.
Li, Z. N., and S. Yang, 2017: Influences of spring-to-summer sea surface temperatures over different Indian Ocean domains on the Asian summer monsoon. Asia-Pacific J. Atmos. Sci., 53, 471–487, doi: https://doi.org/10.1007/s13143-017-0050-3.
Liu, S. F., and A. M. Duan, 2017: Impacts of the leading modes of tropical Indian Ocean sea surface temperature anomaly on sub-seasonal evolution of the circulation and rainfall over East Asia during boreal spring and summer. J. Meteor. Res., 31, 171–186, doi: https://doi.org/10.1007/s13351-016-6093-z.
Liu, Y. G., R. H. Weisberg, and C. N. K. Mooers, 2006: Performance evaluation of the self-organizing map for feature extraction. J. Geophys. Res. Oceans, 111, C05018, doi: https://doi.org/10.1029/2005JC003117.
Matsuno, T., 1966: Quasi-geostrophic motions in the equatorial area. J. Meteor. Soc. Japan Ser. II, 44, 25–43, doi: https://doi.org/10.2151/jmsj1965.44.1_25.
Michelangeli, P.-A., R. Vautard, and B. Legras, 1995: Weather regimes: Recurrence and quasi stationarity. J. Atmos. Sci., 52, 1237–1256, doi: https://doi.org/10.1175/1520-0469(1955)0527<1237:WRRAQS>2.0.CO;2.
Morioka, Y., T. Tozuka, and T. Yamagata, 2010: Climate variability in the southern Indian Ocean as revealed by self-organizing maps. Climate Dyn., 35, 1059–1072, doi: https://doi.org/10.1077/s00382-010-0843-x.
Nitta, T., 1989: Global features of the Pacific-Japan oscillation. Meteor. Atmos. Phys., 41, 5–12, doi: https://doi.org/10.1007/BF01032585.
Peura, M., 1998: The self-organizing map of trees. Neural Process. Lett., 8, 155–162, doi: https://doi.org/10.1023/A:1009648713183.
Reusch, D. B., R. B. Alley, and B. C. Hewitson, 2005: Relative performance of self-organizing maps and principal component analysis in pattern extraction from synthetic climatological data. Polar Geogr., 29, 188–212, doi: https://doi.org/10.1080/789610199.
Reynolds, R. W., N. A. Rayner, T. M. Smith, et al., 2002: An improved in situ and satellite SST analysis for climate. J. Climate, 15, 1609–1625, doi: https://doi.org/10.1175/1520-0442(2002)015<1609:AIISAS>2.0.CO;2.
Riddle, E. E., M. B. Stoner, N. C. Johnson, et al., 2013: The impact of the MJO on clusters of wintertime circulation anomalies over the North American region. Climate Dyn., 40, 1749–1766, doi: https://doi.org/10.1007/s00382-012-1493-y.
Rousi, E., C. Anagnostopoulou, K. Tolika, et al., 2015: Representing teleconnection patterns over Europe: A comparison of SOM and PCA methods. Atmos. Res., 152, 123–137, doi: https://doi.org/10.1016/j.atmosres.2013.11.010.
Saji, N. H., and T. Yamagata, 2003: Possible impacts of Indian Ocean dipole mode events on global climate. Climate Res., 25, 151–169, doi: https://doi.org/10.3354/cr025151.
Saji, N. H., B. N. Goswami, P. N. Vinayachandran, et al., 1999: A dipole mode in the tropical Indian Ocean. Nature, 401, 360–363, doi: https://doi.org/10.1038/43854.
Shukla, J., 1975: Effect of Arabian sea-surface temperature anomaly on Indian summer monsoon: A numerical experiment with the GFDL model. J. Atmos. Sci., 32, 503–511, doi: https://doi.org/10.1175/1520-0469(1975)032<0503:EOASST>2.0.CO;2.
Tan, Y. H., F. Zwiers, S. Yang, et al., 2020: The role of circulation and its changes in present and future atmospheric rivers over western North America. J. Climate, 33, 1261–1281, doi: https://doi.org/10.1175/jcli-d-19-0134.1.
Terray, P., S. Dominiak, and P. Delecluse, 2005: Role of the southern Indian Ocean in the transitions of the monsoon-ENSO system during recent decades. Climate Dyn., 24, 169–195, doi: https://doi.org/10.1007/s00382-004-0480-3.
Tozuka, T., J.-J. Luo, S. Masson, et al., 2008: Tropical Indian Ocean variability revealed by self-organizing maps. Climate Dyn., 31, 333–343, doi: https://doi.org/10.1007/s00382-007-0356-4.
Vettigli, G., 2018: MiniSom: Minimalistic and NumPy-Based Implementation of the Self Organizing Map. Available at https://github.com/JustGlowing/minisom/. Accessed on 23 March 2023.
Wang, B., and Z. Fan, 1999: Choice of South Asian summer monsoon indices. Bull. Amer. Meteor. Soc., 20, 629–638, doi: https://doi.org/10.1175/1520-0477(1999)080<0629:cosasm>2.0.co;2.
Wang, B., R. G. Wu, and X. Fu, 2000: Pacific–East Asian teleconnection: How does ENSO affect East Asian climate? J. Climate, 13, 1517–1536, doi: https://doi.org/10.1175/1520-0442(2000)013<1517:PEATHD>2.0.CO;2.
Wang, Z. Q., A. M. Duan, G. X. Wu, et al., 2016: Mechanism for occurrence of precipitation over the southern slope of the Tibetan Plateau without local surface heating. Int. J. Climatol., 36, 4164–4171, doi: https://doi.org/10.1002/joc.4609.
Wang, Z. Q., G. Li, and S. Yang, 2018: Origin of Indian summer monsoon rainfall biases in CMIP5 multimodel ensemble. Climate Dyn., 51, 755–768, doi: https://doi.org/10.1007/s00382-017-3953-x.
Webster, P. and S. Yang, 1992: Monsoon and ENSO: Selectively interactive systems. Quart. J. Roy. Meteor. Soc., 118, 877–926, doi: https://doi.org/10.1002/qj.49711850705.
Webster, P. J., A. M. Moore, J. P. Loschnigg, et al., 1999: Coupled ocean–atmosphere dynamics in the Indian Ocean during 1997–98. Nature, 401, 356–360, doi: https://doi.org/10.1038/43848.
Wilks, D. S., 2006: On “field significance” and the false discovery rate. J. Appl. Meteor. Climatol., 45, 1181–1189, doi: https://doi.org/10.1175/jam2404.1.
Wu, G. X., Y. M. Liu, B. He, et al., 2012: Thermal controls on the Asian summer monsoon. Sci. Rep., 2, 404, doi: https://doi.org/10.1038/srep00404.
Wu, R. G., and B. P. Kirtman, 2005: Roles of Indian and Pacific Ocean air–sea coupling in tropical atmospheric variability. Climate Dyn., 25, 155–170, doi: https://doi.org/10.1007/s00382-005-0003-x.
Wu, R. G., and B. P. Kirtman, 2007: Role of the Indian Ocean in the biennial transition of the Indian summer monsoon. J. Climate, 20, 2147–2164, doi: https://doi.org/10.1175/JCLI4127.1.
Wu, R. G., B. P. Kirtman, and V. Krishnamurthy, 2008: An asymmetric mode of tropical Indian Ocean rainfall variability in boreal spring. J. Geophys. Res. Atmos., 113, D05104, doi: https://doi.org/10.1029/2007JD009316.
**e, S.-P., K. M. Hu, J. Hafner, et al., 2009: Indian Ocean capacitor effect on Indo–western Pacific climate during the summer following El Niño. J. Climate, 22, 730–747, doi: https://doi.org/10.1175/2008JCLI2544.1.
Yang, J. L., Q. Y. Liu, S.-P. **e, et al., 2007: Impact of the Indian Ocean SST basin mode on the Asian summer monsoon. Geophys. Res. Lett., 34, L02708, doi: https://doi.org/10.1029/2006gl028571.
Yang, J. L., Q. Y. Liu, and Z. Y. Liu, 2010: Linking observations of the Asian monsoon to the Indian Ocean SST: Possible roles of Indian Ocean basin mode and dipole mode. J. Climate, 23, 5889–5902, doi: https://doi.org/10.1175/2010jcli2962.1.
Yang, S., 1996: ENSO–snow–monsoon associations and seasonal–interannual predictions. Int. J. Climatol., 16, 125–134, doi: https://doi.org/10.1002/(SICI)1097-0088(199602)16:2<125::AID-JOC999> 3.0.CO;2-V.
Yang, S., and K.-M. Lau, 1998: Influences of sea surface temperature and ground wetness on Asian summer monsoon. J. Climate, 11, 3230–3246, doi: https://doi.org/10.1175/1520-0442(1980)011<3230:IOSSTA>2.0.CO;2.
Yang, S., K.-M. Lau, S.-H. Yoo, et al., 2004: Upstream subtropical signals preceding the Asian summer monsoon circulation. J. Climate, 11, 4213–4229, doi: https://doi.org/10.1175/JCLI3192.1.
Yang, S., X. L. Ding, D. W. Zheng, et al., 2007: Time-frequency characteristics of the relationships between tropical Indo-Pacific SSTs. Adv. Atmos. Sci., 24, 343–359, doi: https://doi.org/10.1007/s00376-007-0343-z.
Yang, S., Z. N. Li, J.-Y. Yu, et al., 2018: El Niño–Southern Oscillation and its impact in the changing climate. Natl. Sci. Rev., 5, 840–857, doi: https://doi.org/10.1093/nsr/nwy046.
Yoo, S.-H., S. Yang, and C.-H. Ho, 2006: Variability of the Indian Ocean sea surface temperature and its impacts on Asian-Australian monsoon climate. J. Geophys. Res. Atmos., 111, D03108, doi: https://doi.org/10.1029/2005jd006001.
Yuan, Y., H. Yang, W. Zhou, et al., 2008: Influences of the Indian Ocean dipole on the Asian summer monsoon in the following year. Int. J. Climatol., 28, 1849–1859, doi: https://doi.org/10.1002/joc.1678.
Zhang, R. J., Y. Y. Guo, Z. P. Wen, et al., 2020: Distinct patterns of sea surface temperature anomaly in the South Indian Ocean during austral autumn. Climate Dyn., 54, 2663–2682, doi: https://doi.org/10.1007/s00382-020-05135-3.
Zhu, Y. L., and D. D. Houghton, 1996: The impact of Indian Ocean SST on the large-scale Asian summer monsoon and the hydrological cycle. Int. J. Climatol., 16, 617–632, doi: https://doi.org/10.1002/(sici)1097-0088(199606)16:6<617::aid-joc32>3.0.co; 2-i.
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We would like to thank the three anonymous reviewers who provided helpful comments and suggestions for improving the overall quality of this article. The MiniSom package is provided by Vettigli (2018) and is available at https://github.com/JustGlowing/minisom/.
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Supported by the National Natural Science Foundation of China (42088101), Guangdong Major Project of Basic and Applied Basic Research (2020B0301030004), Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies (2020B1212060025), and Jiangsu Collaborative Innovation Center for Climate Change.
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Chen, K., Yang, S. Relationships between Springtime Sea Surface Temperatures in Different Indian Ocean Domains and Various Asian Monsoons from Late Spring to the Following Summer. J Meteorol Res 37, 307–323 (2023). https://doi.org/10.1007/s13351-023-2156-0
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DOI: https://doi.org/10.1007/s13351-023-2156-0