Abstract
Subseasonal to seasonal (S2S) variability represents the atmospheric disturbance on the 10–90-day timescale, which is an important bridge linking weather and climate. In 2015, China Meteorological Administration (CMA) listed the S2S prediction project that was initiated by WMO programs three years ago as one of its key tasks. After five years of research, significant progress has been made on the mechanisms of the East Asian monsoon (EAM) S2S variability, related impact of climate change, as well as the predictability on the S2S timescale of numerical models. The S2S variability of the EAM is closely linked to extreme persistent climate events in China and is an important target for seasonal climate prediction. However, under the influence of global warming and the interactions among climate systems, the S2S variability of the EAM is so complex that its prediction remains a great challenge. This paper reviews the past achievement and summarizes the recent progress in research of the EAM S2S variability and prediction, including characteristics of the main S2S modes of the EAM, their impact on the extreme events in China, effects of external and internal forcing on the S2S variability, as well as uncertainties of climate models in predicting the S2S variability, with a focus on the progress achieved by the S2S research team of the Chinese Academy of Meteorological Sciences. The present bottlenecks, future directions, and critical research recommendations are also analyzed and presented.
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References
Chen, H.-C., and F.-F. Jin, 2021: Simulations of ENSO phase-locking in CMIP5 and CMIP6. J. Climate, 34, 5135–5149, doi: https://doi.org/10.1175/JCLI-D-20-0874.1.
Chen, H. P., J. Q. Sun, W. Q. Lin, et al., 2020: Comparison of CMIP6 and CMIP5 models in simulating climate extremes. Sci. Bull., 65, 1415–1418, doi: https://doi.org/10.1016/j.scib.2020.05.015.
Chen, L., and O. W. Frauenfeld, 2014: A comprehensive evaluation of precipitation simulations over China based on CMIP5 multimodel ensemble projections. J. Geophys. Res. Atmos., 119, 5767–5786, doi: https://doi.org/10.1002/2013JD021190.
Chen, W., 2002: Impacts of El Niño and La Niña on the cycle of the East Asian winter and summer monsoon. Chinese J. Atmos. Sci., 26, 595–610, doi: https://doi.org/10.3878/j.issn.1006-9895.2002.05.02. (in Chinese)
Chen, W., S. Y. Ding, J. Feng, et al., 2018: Progress in the study of impacts of different types of ENSO on the East Asian monsoon and their mechanisms. Chinese J. Atmos. Sci., 42, 640–655, doi: https://doi.org/10.3878/j.issn.1006-9895.1801.17248. (in Chinese)
Chen, Y., and P. M. Zhai, 2017: Simultaneous modulations of precipitation and temperature extremes in Southern parts of China by the boreal summer intraseasonal oscillation. Climate Dyn., 49, 3363–3381, doi: https://doi.org/10.1007/s00382-016-3518-4.
Cohen, J., J. A. Screen, J. C. Furtado, et al., 2014: Recent Arctic amplification and extreme mid-latitude weather. Nat. Geosci., 7, 627–637, doi: https://doi.org/10.1038/ngeo2234.
Coumou, D., G. Di Capua, S. Vavrus, et al., 2018: The influence of Arctic amplification on mid-latitude summer circulation. Nat. Commun., 9, 2959, doi: https://doi.org/10.1038/s41467-018-05256-8.
Dai, G. K., C. X. Li, Z. Han, et al., 2022: The nature and predictability of the East Asian extreme cold events of 2020/21. Adv. Atmos. Sci., 39, 566–575, doi: https://doi.org/10.1007/s00376-021-1057-3.
Ding, S. Y., Z. P. Wen, and W. Chen, 2016: Interdecadal change in the relationship between the South China Sea summer monsoon onset and two types of Pacific sea surface temperature anomaly. Chinese J. Atmos. Sci., 40, 243–256, doi: https://doi.org/10.3878/j.issn.1006-9895.1507.15102. (in Chinese)
Feng, J., W. Chen, H. N. Gong, et al., 2019: An investigation of CMIP5 model biases in simulating the impacts of central Pacific El Niño on the East Asian summer monsoon. Climate Dyn., 52, 2631–2646, doi: https://doi.org/10.1007/s00382-018-4284-2.
Feng, J. M., T. Wei, W. J. Dong, et al., 2014: CMIP5/AMIP GCM simulations of East Asian summer monsoon. Adv. Atmos. Sci., 31, 836–850, doi: https://doi.org/10.1007/s00376-013-3131-y.
Feng, P.-N., H. Lin, J. Derome, et al., 2021: Forecast skill of the NAO in the subseasonal-to-seasonal prediction models. J. Climate, 34, 4757–4769, doi: https://doi.org/10.1175/JCLI-D-20-0430.1.
Fu, Y. H., Z. D. Lin, and T. Wang, 2021: Simulated relationship between wintertime ENSO and East Asian summer rainfall: From CMIP3 to CMIP6. Adv. Atmos. Sci., 38, 221–236, doi: https://doi.org/10.1007/s00376-020-0147-y.
Gong, D. Y., S. W. Wang, and J. H. Zhu, 2004: Arctic Oscillation influence on daily temperature variance in winter over China. Chinese Sci. Bull., 49, 637–642.
Guo, L., C.-W. Zhu, B.-Q. Liu, et al., 2018: Subseasonal variation of winter rainfall anomalies over South China during the mature phase of super El Niño events. Atmos. Ocean. Sci. Lett., 11, 396–403, doi: https://doi.org/10.1080/16742834.2018.1505404.
Guo, L., C. W. Zhu, and B. Q. Liu, 2019: Possible causes of the flooding over south China during the 2015/2016 winter. Int. J. Climatol., 39, 3218–3230, doi: https://doi.org/10.1002/joc.6013.
Guo, L., C. W. Zhu, and B. Q. Liu, 2021: Regulation of the sub-seasonal variability of winter rainfall in South China by the diversity of El Niño Southern Oscillation. Climate Dyn., 56, 1919–1936, doi: https://doi.org/10.1007/s00382-020-05565-z.
Hsu, P.-C., J.-Y. Lee, and K.-J. Ha, 2016: Influence of boreal summer intraseasonal oscillation on rainfall extremes in southern China. Int. J. Climatol., 36, 1403–1412, doi: https://doi.org/10.1002/joc.4433.
Huang, D.-Q., J. Zhu, Y.-C. Zhang, et al., 2013: Uncertainties on the simulated summer precipitation over Eastern China from the CMIP5 models. J. Geophys. Res. Atmos., 118, 9035–9047, doi: https://doi.org/10.1002/jgrd.50695.
Huang, R. H., and Y. F. Wu, 1989: The influence of ENSO on the summer climate change in China and its mechanism. Adv. Atmos. Sci., 6, 21–32, doi: https://doi.org/10.1007/BF02656915.
Huang, R. H., Y. Liu, L. Wang, et al., 2012: Analyses of the causes of severe drought occurring in Southwest China from the fall of 2009 to the spring of 2010. Chinese J. Atmos. Sci., 36, 443–457, doi: https://doi.org/10.3878/j.issn.1006-9895.2011.11101. (in Chinese)
Jiang, N., and C. W. Zhu, 2018: Asymmetric changes of ENSO diversity modulated by the cold tongue mode under recent global warming. Geophys. Res. Lett., 45, 12,506–12,513, doi: https://doi.org/10.1029/2018GL079494.
Jiang, N., and C. W. Zhu, 2020: Tropical Pacific cold tongue mode triggered by enhanced warm pool convection due to global warming. Environ. Res. Lett., 15, 054015, doi: https://doi.org/10.1088/1748-9326/ab7d5e.
Jiang, N., and C. W. Zhu, 2021: Seasonal forecast of South China Sea summer monsoon onset disturbed by cold tongue La Niña in the past decade. Adv. Atmos. Sci., 38, 147–155, doi: https://doi.org/10.1007/s00376-020-0090-y.
Jiang, S., C. W. Zhu, and N. Jiang, 2020: Variations in the annual cycle of the East Asian monsoon and its phase-induced interseasonal rainfall anomalies in China. Atmos. Ocean. Sci. Lett., 13, 316–322, doi: https://doi.org/10.1080/16742834.2020.1754728.
Jie, W. H., F. Vitart, T. W. Wu, et al., 2017: Simulations of the Asian summer monsoon in the sub-seasonal to seasonal prediction project (S2S) database. Quart. J. Roy. Meteor. Soc., 143, 2282–2295, doi: https://doi.org/10.1002/qj.3085.
Jin, Q. H., B. Q. Liu, and J. H. He, 2019: Possible causes for the asymmetric evolution between the aerosol optical depth over East Asia and eastern United States during boreal spring. Int. J. Climatol., 39, 2474–2483, doi: https://doi.org/10.1002/joc.5936.
Kajikawa, Y., and B. Wang, 2012: Interdecadal change of the South China Sea summer monsoon onset. J. Climate, 25, 3207–3218, doi: https://doi.org/10.1175/JCLI-D-11-00207.1.
Kim, H., F. Vitart, and D. E. Waliser, 2018: Prediction of the Madden-Julian oscillation: A review. J. Climate, 31, 9425–9443, doi: https://doi.org/10.1175/JCLI-D-18-0210.1.
Kim, H.-M., P. J. Webster, V. E. Toma, et al., 2014: Predictability and prediction skill of the MJO in two operational forecasting systems. J. Climate, 27, 5364–5378, doi: https://doi.org/10.1175/JCLI-D-13-00480.1.
Kim, S., H.-Y. Son, and J.-S. Kug, 2017: How well do climate models simulate atmospheric teleconnctions over the North Pacific and East Asia associated with ENSO? Climate Dyn., 48, 971–985, doi: https://doi.org/10.1007/s00382-016-3121-8.
Kusunoki, S., and O. Arakawa, 2015: Are CMIP5 models better than CMIP3 models in simulating precipitation over East Asia? J. Climate, 28, 5601–5621, doi: https://doi.org/10.1175/JCLI-D-14-00585.1.
Lang, A. L., K. Pegion, and E. A. Barnes, 2020: Introduction to special collection: “Bridging Weather and Climate: Subseasonal-to-Seasonal (S2S) Prediction”. J. Geophys. Res. Atmos., 125, e2019JD031833, doi: https://doi.org/10.1029/2019JD031833.
Le, P. V. V., C. Guilloteau, A. Mamalakis, et al., 2021: Underestimated MJO variability in CMIP6 models. Geophys. Res. Lett., 48, e2020GL092244, doi: https://doi.org/10.1029/2020GL092244.
Lee, J.-Y., B. Wang, I.-S. Kang, et al., 2010: How are seasonal prediction skills related to models’ performance on mean state and annual cycle? Climate Dyn., 35, 267–283, doi: https://doi.org/10.1007/s00382-010-0857-4.
Lee, S.-S., B. Wang, D. E. Waliser, et al., 2015: Predictability and prediction skill of the boreal summer intraseasonal oscillation in the Intraseasonal Variability Hindcast Experiment. Climate Dyn., 45, 2123–2135, doi: https://doi.org/10.1007/s00382-014-2461-5.
Lee, S.-S., J.-Y. Moon, B. Wang, et al., 2017: Subseasonal prediction of extreme precipitation over Asia: Boreal summer intraseasonal oscillation perspective. J. Climate, 30, 2849–2865, doi: https://doi.org/10.1175/JCLI-D-16-0206.1.
Li, J. Y., B. Q. Liu, and J. Y. Mao, 2021: Climatological intraseasonal oscillation in the middle-upper troposphere and its effect on the northward migration of the East Asian westerly jet and rain belt over eastern China. Int. J. Climatol., 41, 5084–5099, doi: https://doi.org/10.1002/joc.7118.
Li, L., R. H. Zhang, and M. Wen, 2018a: Modulation of the atmospheric quasi-biweekly oscillation on the diurnal variation of the occurrence frequency of the Tibetan Plateau vortices. Climate Dyn., 50, 4507–4518, doi: https://doi.org/10.1007/s00382-017-3887-3.
Li, L., R. H. Zhang, M. Wen, et al., 2018b: Effect of the atmospheric quasi-biweekly oscillation on the vortices moving off the Tibetan Plateau. Climate Dyn., 50, 1193–1207, doi: https://doi.org/10.1007/s00382-017-3672-3.
Li, L., R. H. Zhang, P. L. Wu, et al., 2020: Roles of Tibetan Plateau vortices in the heavy rainfall over southwestern China in early July 2018. Atmos. Res., 245, 105059, doi: https://doi.org/10.1016/j.atmosres.2020.105059.
Liang, P., and H. Lin, 2018: Sub-seasonal prediction over East Asia during boreal summer using the ECCC monthly forecasting system. Climate Dyn., 50, 1007–1022, doi: https://doi.org/10.1007/s00382-017-3658-1.
Lim, Y., S.-W. Son, and D. Kim, 2018: MJO prediction skill of the subseasonal-to-seasonal prediction models. J. Climate, 31, 4075–4094, doi: https://doi.org/10.1175/JCLI-D-17-0545.1.
Lim, Y., S.-W. Son, A. G. Marshall, et al., 2019: Influence of the QBO on MJO prediction skill in the subseasonal-to-seasonal prediction models. Climate Dyn., 53, 1681–1695, doi: https://doi.org/10.1007/s00382-019-04719-y.
Liu, B. Q., and C. W. Zhu, 2020: Boosting effect of tropical cyclone “Fani” on the onset of the South China Sea summer monsoon in 2019. J. Geophys. Res. Atmos., 125, e2019JD031891, doi: https://doi.org/10.1029/2019JD031891.
Liu, B. Q., and C. W. Zhu, 2021: Subseasonal-to-seasonal predictability of onset dates of South China Sea summer monsoon: A perspective of meridional temperature gradient. J. Climate, 34, 5601–5616, doi: https://doi.org/10.1175/JCLI-D-20-0696.1.
Liu, B. Q., C. W. Zhu, Y. Yuan, et al., 2016: Two types of interannual variability of South China Sea summer monsoon onset related to the SST anomalies before and after 1993/94. J. Climate, 29, 6957–6971, doi: https://doi.org/10.1175/JCLI-D-16-0065.1.
Liu, B. Q., C. W. Zhu, J. Z. Su, et al., 2018: Why was the western Pacific subtropical anticyclone weaker in late summer after the 2015/2016 super El Niño?. Int. J. Climatol., 38, 55–65, doi: https://doi.org/10.1002/joc.5160.
Liu, B. Q., C. W. Zhu, J. Z. Su, et al., 2019: Record-breaking northward shift of the western North Pacific subtropical high in July 2018. J. Meteor. Soc. Japan, 97, 913–925, doi: https://doi.org/10.2151/jmsj.2019-047.
Liu, B. Q., Y. H. Yan, C. W. Zhu, et al., 2020: Record-breaking Meiyu rainfall around the Yangtze River in 2020 regulated by the subseasonal phase transition of the North Atlantic Oscillation. Geophys. Res. Lett., 47, e2020GL090342, doi: https://doi.org/10.1029/2020GL090342.
Liu, B. Q., Y. N. Duan, J. Y. Li, et al., 2021a: Intraseasonal oscillation of atmospheric heat source over the Qinghai-Xizang Plateau in boreal spring and its maintaining mechanism. Plateau Meteor., 40, 1419–1431. (in Chinese)
Liu, B. Q., C. W. Zhu, N. Jiang, et al., 2021b: Seasonal evolution of anomalous rainband over East China regulated by sea surface temperature anomalies in the Northern Hemisphere. J. Climate, 34, 3087–3102, doi: https://doi.org/10.1175/JCLI-D-20-0398.1.
Liu, Y. Y., P. Liang, and Y. Sun, 2019: Subseasonal prediction of the East Asian summer monsoon. The Asian Summer Monsoon, Elsevier, Cambridge, 61–81.
Ma, S. M., and C. W. Zhu, 2019: Extreme cold wave over East Asia in January 2016: A possible response to the larger internal atmospheric variability induced by Arctic warming. J. Climate, 32, 1203–1216, doi: https://doi.org/10.1175/JCLI-D-18-0234.1.
Ma, S. M., and C. W. Zhu, 2021: Atmospheric circulation regime causing winter temperature whiplash events in North China. Int. J. Climatol., 41, 917–933, doi: https://doi.org/10.1002/joc.6706.
Ma, S. M., T. J. Zhou, D. A. Stone, et al., 2017: Attribution of the July–August 2013 heat event in Central and Eastern China to anthropogenic greenhouse gas emissions. Environ. Res. Lett., 12, 054020, doi: https://doi.org/10.1088/1748-9326/aa69d2.
Ma, S. M., C. W. Zhu, B. Q. Liu, et al., 2018: Polarized response of East Asian winter temperature extremes in the era of Arctic warming. J. Climate, 31, 5543–5557, doi: https://doi.org/10.1175/JCLI-D-17-0463.1.
Ma, S. M., C. W. Zhu, and J. Liu, 2020: Combined impacts of warm central equatorial Pacific sea surface temperatures and anthropogenic warming on the 2019 severe drought in East China. Adv. Atmos. Sci., 37, 1149–1163, doi: https://doi.org/10.1007/s00376-020-0077-8.
Ma, S. M., C. W. Zhu, and B. Q. Liu, 2021: Possible causes of persistently extreme-hot-days-related circulation anomalies in Yunnan from April to June 2019. Chinese J. Atmos. Sci., 45, 165–180, doi: https://doi.org/10.3878/j.issn.1006-9895.2004.19226. (in Chinese)
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, 702–708, doi: https://doi.org/10.1175/1520-0469(1971)028<0702:DOADOI>2.0.CO;2.
Madden, R. A., and P. R. Julian, 1972: Description of global-scale circulation cells in the tropics with a 40–50 day period. J. Atmos. Sci., 29, 1109–1123, doi: https://doi.org/10.1175/1520-0469(1972)029<1109:DOGSCC>2.0.CO;2.
Mariotti, A., C. Baggett, E. A. Barnes, et al., 2020: Windows of opportunity for skillful forecasts subseasonal to seasonal and beyond. Bull. Amer. Meteor. Soc., 101, E608–E625, doi: https://doi.org/10.1175/BAMS-D-18-0326.1.
Meehl, G. A., J. H. Richter, H. Y. Teng, et al., 2021: Initialized Earth System prediction from subseasonal to decadal timescales. Nat. Rev. Earth Environ., 2, 340–357, doi: https://doi.org/10.1038/s43017-021-00155-x.
Park, J., H. Kim, S.-Y. S. Wang, et al., 2020: Intensification of the East Asian summer monsoon lifecycle based on observation and CMIP6. Environ. Res. Lett., 15, 0940b9, doi: https://doi.org/10.1088/1748-9326/ab9b3f.
Ren, P. F., H.-L. Ren, J.-X. Fu, et al., 2018: Impact of boreal summer intraseasonal oscillation on rainfall extremes in southeastern China and its predictability in CFSv2. J. Geophys. Res. Atmos., 123, 4423–4442, doi: https://doi.org/10.1029/2017JD028043.
Salunke, P., S. Jain, and S. K. Mishra, 2019: Performance of the CMIP5 models in the simulation of the Himalaya-Tibetan Plateau monsoon. Theor. Appl. Climatol., 137, 909–928, doi: https://doi.org/10.1007/s00704-018-2644-9.
Screen, J. A., C. Deser, D. M. Smith, et al., 2018: Consistency and discrepancy in the atmospheric response to Arctic sea-ice loss across climate models. Nat. Geosci., 11, 155–163, doi: https://doi.org/10.1038/s41561-018-0059-y.
Shepherd, T. G., 2016: Effects of a warming Arctic. Science, 353, 989–990, doi: https://doi.org/10.1126/science.aag2349.
Song, F. F., and T. J. Zhou, 2014a: Interannual variability of East Asian summer monsoon simulated by CMIP3 and CMIP5 AGCMs: Skill dependence on Indian Ocean-western Pacific anticyclone teleconnection. J. Climate, 27, 1679–1697, doi: https://doi.org/10.1175/JCLI-D-13-00248.1.
Song, F. F., and T. J. Zhou, 2014b: The climatology and interannual variability of East Asian summer monsoon in CMIP5 coupled models: Does air-sea coupling improve the simulations? J. Climate, 27, 8761–8777, doi: https://doi.org/10.1175/JCLI-D-14-00396.1.
Song, Z. H., C. W. Zhu, J. Z. Su, et al., 2016: Coupling modes of climatological intraseasonal oscillation in the East Asian summer monsoon. J. Climate, 29, 6363–6382, doi: https://doi.org/10.1175/JCLI-D-15-0794.1.
Sperber, K. R., and H. Annamalai, 2014: The use of fractional accumulated precipitation for the evaluation of the annual cycle of monsoons. Climate Dyn., 43, 3219–3244, doi: https://doi.org/10.1007/s00382-014-2099-3.
Stan, C., D. M. Straus, J. S. Frederiksen, et al., 2017: Review of tropical-extratropical teleconnections on intraseasonal time scales. Rev. Geophys., 55, 902–937, doi: https://doi.org/10.1002/2016RG000538.
Sun, X. G., G. X. Jiang, X. J. Ren, et al., 2016: Role of intraseasonal oscillation in the persistent extreme precipitation over the Yangtze River Basin during June 1998. J. Geophys. Res. Atmos., 121, 10,453–10,469, doi: https://doi.org/10.1002/2016JD025077.
Takaya, Y., I. Ishikawa, C. Kobayashi, et al., 2020: Enhanced Meiyu-Baiu rainfall in early summer 2020: Aftermath of the 2019 super IOD event. Geophys. Res. Lett., 47, e2020GL090671, doi: https://doi.org/10.1029/2020GL090671.
Tao, S. Y., and Q. Y. Zhang, 1998: Response of the Asian winter and summer monsoon to ENSO events. Sci. Atmos. Sinica, 22, 399–407. (in Chinese)
Vitart, F., 2017: Madden-Julian Oscillation prediction and teleconnections in the S2S database. Quart. J. Roy. Meteor. Soc., 143, 2210–2220, doi: https://doi.org/10.1002/qj.3079.
Vitart, F., C. Ardilouze, A. Bonet, et al., 2017: The Subseasonal to Seasonal (S2S) Prediction project database. Bull. Amer. Meteor. Soc., 98, 163–173, doi: https://doi.org/10.1175/BAMS-D-16-0017.1.
Wang, B., and X. S. Xie, 1997: A model for the boreal summer intraseasonal oscillation. J. Atmos. Sci., 54, 72–86, doi: https://doi.org/10.1175/1520-0469(1997)054<0072:AMFTBS>2.0.CO;2.
Wang, P., C.-Y. Tam, and K. Xu, 2019: El Niño-East Asian monsoon teleconnection and its diversity in CMIP5 models. Climate Dyn., 53, 6417–6435, doi: https://doi.org/10.1007/s00382-019-04938-3.
Wang, S. G., A. H. Sobel, M. K. Tippett, et al., 2019: Prediction and predictability of tropical intraseasonal convection: seasonal dependence and the Maritime Continent prediction barrier. Climate Dyn., 52, 6015–6031, doi: https://doi.org/10.1007/s00382-018-4492-9.
WWRP, and WCRP, 2018a: Sub-seasonal to Seasonal Prediction Project (S2S) Phase II Proposal. Number of 11/2018, WMO, Geneva, 33 pp.
WWRP, and WCRP, 2018b: Sub-seasonal to Seasonal Prediction Project (S2S) Phase I Final Report. Number of 6/2018, WMO, Geneva, 55 pp.
Xiang, B. Q., M. Zhao, X. N. Jiang, et al., 2015: The 3–4-week MJO prediction skill in a GFDL Coupled Model. J. Climate, 28, 5351–5364, doi: https://doi.org/10.1175/JCLI-D-15-0102.1.
Xin, X. G., T. W. Wu, J. Zhang, et al., 2020: Comparison of CMIP6 and CMIP5 simulations of precipitation in China and the East Asian summer monsoon. Int. J. Climatol., 40, 6423–6440, doi: https://doi.org/10.1002/joc.6590.
Xin, X. G., T. W. Wu, W. H. Jie, et al., 2021: Impact of higher resolution on precipitation over China in CMIP6 HighResMIP models. Atmosphere, 12, 762, doi: https://doi.org/10.3390/atmos12060762.
Xu, K., C. W. Zhu, and J. H. He, 2013: Two types of El Niño-related Southern Oscillation and their different impacts on global land precipitation. Adv. Atmos. Sci., 30, 1743–1757, doi: https://doi.org/10.1007/s00376-013-2272-3.
Yan, Y. H., C. W. Zhu, B. Q. Liu, et al., 2020: Annual cycle of East Asian precipitation simulated by CMIP6 models. Atmosphere, 12, 24, doi: https://doi.org/10.3390/atmos12010024.
Yan, Y. H., B. Q. Liu, and C. W. Zhu, 2021: Subseasonal predictability of South China Sea summer monsoon onset with the ECMWF S2S forecasting system. Geophys. Res. Lett., 48, e2021GL095943, doi: https://doi.org/10.1029/2021GL095943.
Yan, Y. H., B. Q. Liu, C. W. Zhu, et al., 2022: Subseasonal forecast barrier of the North Atlantic oscillation in S2S models during the extreme mei-yu rainfall event in 2020. Climate Dyn., 58, 2913–2925, doi: https://doi.org/10.1007/s00382-021-06076-1.
Yang, W. C., R. Seager, M. A. Cane, et al., 2015: The rainfall annual cycle bias over East Africa in CMIP5 coupled climate models. J. Climate, 28, 9789–9802, doi: https://doi.org/10.1175/JCLI-D-15-0323.1.
Yang, X. L., B. T. Zhou, Y. Xu, et al., 2021: CMIP6 evaluation and projection of temperature and precipitation over China. Adv. Atmos. Sci., 38, 817–830, doi: https://doi.org/10.1007/s00376-021-0351-4.
Ye, D. Z., and Y. X. Gao, 1979: Meteorology of the Qinghai-Tibet Plateau. Science Press, Beijing, 278 pp. (in Chinese)
Yu, M. J., C. W. Zhu, and N. Jiang, 2019: Subseasonal mode of cold and wet climate in South China during the cold season: a climatological view. Atmos. Ocean. Sci. Lett., 12, 73–79, doi: https://doi.org/10.1080/16742834.2019.1568164.
Yu, M. J., N. Jiang, C. W. Zhu, et al., 2021: Combined impacts of sea surface temperature in tropical Pacific and North Atlantic Oceans on the winter rainfall in southern China under decadal background. Int. J. Climatol., 41, 5201–5212, doi: https://doi.org/10.1002/joc.7124.
Zhang, J. Q., G. W. Sun, and B. D. Chen, 1991: A Study of Low-Frequency Atmospheric Variability on the Tibetan Plateau. Science Press, Beijing, 106 pp.
Zhou, W., and J. C. L. Chan, 2007: ENSO and the South China Sea summer monsoon onset. Int. J. Climatol., 27, 157–167, doi: https://doi.org/10.1002/joc.1380.
Zhou, Z.-Q., S.-P. Xie, and R. H. Zhang, 2021: Historic Yangtze flooding of 2020 tied to extreme Indian Ocean conditions. Proc. Natl. Acad. Sci. USA, 118, e2022255118, doi: https://doi.org/10.1073/pnas.2022255118.
Zhu, C. W., T. Nakazawa, J. P. Li, et al., 2003: The 30–60 day intraseasonal oscillation over the western North Pacific Ocean and its impacts on summer flooding in China during 1998. Geophys. Res. Lett., 30, 1952, doi: https://doi.org/10.1029/2003GL017817.
Zuo, Z. Y., and R. H. Zhang, 2016: Influence of soil moisture in eastern China on the East Asian summer monsoon. Adv. Atmos. Sci., 33, 151–163, doi: https://doi.org/10.1007/s00376-015-5024-8.
Zuo, Z. Y., S. Yang, R. H. Zhang, et al., 2015: Response of summer rainfall over China to spring snow anomalies over Siberia in the NCEP CFSv2 reforecast. Quart. J. Roy. Meteor. Soc., 141, 939–944, doi: https://doi.org/10.1002/qj.2413.
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Supported by the National Natural Science Foundation of China (41830969), the Second Tibetan Plateau Scientific Expedition and Research (STEP) Program (2019QZKK0105), National Natural Science Foundation of China (42005131), Basic Scientific Research and Operation Fund of the Chinese Academy of Meteorological Sciences (CAMS) (2021Z004), and Science and Technology Development Fund of CAMS (2020KJ009 and 2020KJ012).
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Zhu, C., Liu, B., Li, L. et al. Progress and Prospects of Research on Subseasonal to Seasonal Variability and Prediction of the East Asian Monsoon. J Meteorol Res 36, 677–690 (2022). https://doi.org/10.1007/s13351-022-2059-5
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DOI: https://doi.org/10.1007/s13351-022-2059-5