Abstract
The interannual variability of South China spring rainfall (SCSR) is examined in relation to the North Pacific Oscillation (NPO) and North Atlantic Oscillation (NAO) based on longer-term reanalysis datasets and simulation outputs from Coupled Model Intercomparison Project Phase 6 (CMIP6) for the period 1901–2014. The interannual fluctuations of SCSR exhibit a significantly positive (negative) correlation with those of the spring NPO (NAO), thus the above-normal and below-normal SCSR tend to occur during the positive NPO (NPO+) and negative NPO (NPO−) phases, whereas the negative NAO (NAO−) and positive NAO (NAO+) phases favor the above-normal and below-normal SCSR, respectively. However, the variations in spring NPO and NAO are independent of each other, suggesting that anomalous SCSR depends on circulation anomalies induced jointly by various combinations of the NPO–NAO phases. Composite analyses show that the synergetic impacts on SCSR of the out-of-phase NPO+/NAO– combination are through the enhanced dipole circulation patterns, with both the subtropical negative and mid-latitude positive sea level pressure anomalies intensifying as compared to those for the individual NPO+ phase in the lower troposphere. The intensified low-level moisture convergence associated with the southwestward-extending subtropical anticyclone is in conjunction with the upper-level divergence over South China due to the northward-extending westerly-jet, resulting in more SCSR. Inversely, another out-of-phase NPO–/NAO+ combination favors less SCSR. In contrast, the preference for normal SCSR appears in the in-phase NPO+/NAO+ and NPO−/NAO− combinations, because the circulation anomalies in the NPO+ (NPO−) phase tend to be partly offset by those in the NAO+ (NAO−) phase. Importantly, the above respectively and jointly influencing mechanisms of the spring NPO and NAO on SCSR are validated by historical simulations from some CMIP6 models.
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Data availability
All datasets used in this study are available for open access. CRU precipitation reanalysis data is available at https://crudata.uea.ac.uk/cru/data/hrg/. 20CRv3 and NCEP1 atmospheric reanalysis data are available at https://psl.noaa.gov/data/gridded/. JRA55 reanalysis data is available at https://rda.ucar.edu/datasets/ds628.1/. ERA20C reanalysis data is available at https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era-20c. CMIP6 model data are publicly available from ESGF nodes at https://esgf-node.llnl.gov/search/cmip6/.
References
Aru H, Chen S, Chen W (2021) Comparisons of the different definitions of the western Pacific pattern and associated winter climate anomalies in Eurasia and North America. Int J Climatol 41:2840–2859. https://doi.org/10.1002/joc.6993
Bollasina MA, Messori G (2018) On the link between the sub-seasonal evolution of the North Atlantic Oscillation and East Asian climate. Clim Dyn 51:3537–3557. https://doi.org/10.1007/s00382-018-4095-5
Cai L, Alexeev VA, Walsh JE, Bhatt US (2018) Patterns, impacts, and future projections of summer variability in the Arctic from CMIP5 models. J Clim 31:9815–9833. https://doi.org/10.1175/JCLI-D-18-0119.1
Chan JCL, Zhou W (2005) PDO, ENSO and the early summer monsoon rainfall over South China. Geophys Res Lett 32:L08810. https://doi.org/10.1029/2004GRL022015
Chen S, Song L (2018) Impact of the winter North Pacific Oscillation on the surface air temperature over Eurasia and North America: sensitivity to the index definition. Adv Atmos Sci 35:702–712. https://doi.org/10.1007/s00376-017-7111-5
Chen S, Wu R (2018) Impacts of winter NPO on subsequent winter ENSO: sensitivity to the definition of NPO index. Clim Dyn 50:375–389. https://doi.org/10.1007/s00382-017-3615-z
Chen S, Wu R, Chen W, Song L (2019) Performance of the CMIP5 models in simulating the Arctic oscillation during boreal spring. Clim Dyn 53:2083–2101. https://doi.org/10.1007/s00382-019-04792-3
Chen S, Wu R, Chen W (2020) Strengthened connection between springtime North Atlantic oscillation and North Atlantic tripole SST pattern since the late 1980s. J Clim 33:2007–2022. https://doi.org/10.1175/JCLI-D-19-0628.1
Conover WJ (1980) Practical nonparametic statistic. Wiley, New York
Dell’Aquila A, Corti S, Weisheimer A, Hersbach H, Peubey C, Poli P, Berrisford P, Dee D, Simmons A (2016) Benchmarking Northern Hemisphere midlatitude atmospheric synoptic variability in centennial reanalysis and numerical simulations. Geophys Res Lett 43(10):5442–5449. https://doi.org/10.1002/2016GL068829
Efron B (1982) The jackknife, the bootstrap and other resampling plans. Capital City, Montpelier, pp 27–36
Eyring V, Bony S, Meehl GA et al (2016) Overview of the coupled model Intercomparison Project Phase 6 (CMIP6) experimental design and organization. Geosci Model Dev 9:1937–1958. https://doi.org/10.5194/gmd-9-1937-2016
Gong D, Wang S, Zhu J (2001) East Asian winter monsoon and Arctic Oscillation. Geophys Res Lett 28:2073–2076. https://doi.org/10.1029/2000GL012311
Gong D, Yang J, Kim SJ, Gao Y, Guo D, Zhou T, Hu M (2011) Spring Arctic oscillation-East Asian summer monsoon connection through circulation changes over the western North Pacific. Clim Dyn 37:2199–2216. https://doi.org/10.1007/s00382-011-1041-1
Guo R, Pan W, Ke M-L, Wei W, Wang Z (2023) Diversity on the interannual variations of spring monthly precipitation in southern China and the associated tropical sea surface temperature anomalies. J Trop Meteorol 29:337–346. https://doi.org/10.3724/j.1006-8775.2023.025
Hagedorn R, Doblas-Reyes FJ, Palmer TN (2005) The rationale behind the success of multi-model ensembles in seasonal forecasting part I. Basic concept. Tellus Ser Dyn Meteorol Oceanogr 57:219–233. https://doi.org/10.1111/j.1600-0870.2005.00103.x
Han Z, Luo F, Wan J (2016) The observational influence of the North Atlantic SST tripole on the early spring atmospheric circulation. Geophys Res Lett 43:2998–3003. https://doi.org/10.1002/2016GL068099
Harris I, Osborn TJ, Jones P, Lister D (2020) Version 4 of the CRU TS monthly high-resolution gridded multivariate climate dataset. Sci Data 7:109. https://doi.org/10.1038/s41597-020-0453-3
Hu P, Cheng J, Feng G, Doger MMA, Gong Z (2020) The mechanism of EAP-EU combined impact on summer rainfall over North Asia. Theor Appl Climatol 142:117–128. https://doi.org/10.1007/s00704-020-03295-0
Hurrell JW, Kushnir Y, Ottersen G, Visbeck M (2003) An overview of the North Atlantic oscillation. Geophys Monogr Am Geophys Union 134:1–35. https://doi.org/10.1029/134GM01
Jia X, Zhang C, Wu R, Qian Q (2021a) Influence of tibetan plateau autumn snow cover on interannual variations in spring precipitation over southern China. Clim Dyn 56:767–782. https://doi.org/10.1007/s00382-020-05497-8
Jia X, Zhang C, Wu R, Qian Q (2021b) Changes in the relationship between spring precipitation in southern China and tropical Pacific-South Indian Ocean SST. J Clim 34:6267–6279. https://doi.org/10.1175/JCLI-D-20-0817.1
Kalnay E et al (1996) The NCEP/NCAR 40-year reanalysis project. Bull Am Meteor Soc 77:437–471. https://doi.org/10.1175/1520-0477(1996)077<0437:TNYRP>2.0.CO;2
Kobayashi S, Ota Y, Harada Y et al (2015) The JRA-55 reanalysis: general specifications and basic characteristics. J Meteorol Soc Japan Ser II 93:5–48. https://doi.org/10.2151/jmsj.2015-001
Li S, He S, Li F, Wang H (2018) Simulated and projected relationship between the east Asian winter monsoon and winter Arctic oscillation in CMIP5 models. Atmos Ocean Sci Lett 11:417–424. https://doi.org/10.1080/16742834.2018.1512356
Li J, Zheng F, Sun C, Feng J, Wang J (2019) Pathways of influence of the Northern Hemisphere mid–high latitudes on east Asian climate: a review. Adv Atmos Sci 36:902–921. https://doi.org/10.1007/s00376-019-8236-5
Li Y, Zhou W, Yang S, Zhang R, Cheung H, Zhang Y (2022) Recent early-spring drying trend over southern China associated with changes in the zonal thermal contrast over the Pacific. J Clim 35:2885–2896. https://doi.org/10.1175/JCLI-D-21-0891.1
Linho LH, Huang X, Lau N-C (2008) Winter-to-spring transition in East Asia: a planetary-scale perspective of the South China spring rain onset. J Clim 21:3081–3096. https://doi.org/10.1175/2007JCLI1611.1
Linkin ME, Nigam S (2008) The North Pacific Oscillation–West Pacific teleconnection pattern: mature-phase structure and winter impacts. J Clim 21:1979–1997. https://doi.org/10.1175/2007JCLI2048.1
Liu H, Fan K (2014) Eurasia seasonal circulation climatology and variability: evaluation of 20CR reanalysis data in Eurasia and East China (in Chinese). Chin J Atmos Sci 38:469–483. https://doi.org/10.3878/j.issn.1006-9895.2013.13182
Liu Y, Tam C-Y, Tong H, Cheung K, Xu Z (2022) Investigating future changes in precipitation interannual variability and extremes over southern China. Int J Climatol 43:914–931. https://doi.org/10.1002/joc.7842
Mao J, Li M (2020) Interannual variations in spring lightning activity and convective rainfall over South China during the TRMM era. Theoret Appl Climatol 142:483–495. https://doi.org/10.1007/s00704-020-03322-0
Miao J, Wang T, Wang H (2020) Interdecadal variations of the east Asian winter monsoon in CMIP5 preindustrial simulations. J Clim 33:559–575. https://doi.org/10.1175/JCLI-D-19-0148.1
Mudelsee M (2014) Climate time series analysis: classical statistical and bootstrap methods, 2nd edn. Springer, New York. https://doi.org/10.1007/978-3-319-04450-7
Murphy AH, Epstein ES (1989) Skill scores and correlation coefficients in model verification. Mon Weather Rev 117:572–582. https://doi.org/10.1175/1520-0493(1989)117<0572:SSACCI>2.0.CO;2
North GR, Bell TL, Cahalan RF, Moeng FJ (1982) Sampling errors in the estimation of empirical orthogonal functions. Mon Weather Rev 110:699–706. https://doi.org/10.1175/1520-0493(1982)110<0699:SEITEO>2.0.CO;2
Orbe C, Van Roekel L, Adames AF, Dezfuli A, Fasullo J, Gleckler PJ, Lee J, Li W, Nazarenko L, Schmidt GA, Sperber KR, Zhao M (2020) Representation of modes of variability in six U.S. climate models. J Clim 33:7591–7617. https://doi.org/10.1175/jcli-d-19-0956.1
Pak G, Park YH, Vivier F, Kwon YO, Chang KI (2014) Regime-dependent nonstationary relationship between the east Asian Winter Monsoon and North Pacific Oscillation. J Clim 27:8185–8204. https://doi.org/10.1175/JCLI-D-13-00500.1
Park HJ, Ahn JB (2016) Combined effect of the Arctic Oscillation and the Western Pacific pattern on East Asia winter temperature. Clim Dyn 46:3205–3221. https://doi.org/10.1007/s00382-015-2763-2
Pokorná L, Huth R (2015) Climate impacts of the NAO are sensitive to how the NAO is defined. Theor Appl Climatol 119:639–652. https://doi.org/10.1007/s00704-014-1116-0
Poli P, Hersbach H, Dee DP, Berrisford P, Simmons AJ, Vitart F, Laloyaux P, Tan DGH, Peubey C, Thépaut J-N, Trémolet Y, Hólm EV, Bonavita M, Isaksen L, Fisher M (2016) ERA-20 C: an atmospheric reanalysis of the twentieth century. J Clim 29:4083–4097. https://doi.org/10.1175/JCLI-D-15-0556.1
Rogers JC (1981) The North Pacific oscillation. Int J Climatol 1:39–57. https://doi.org/10.1002/joc.3370010106
Slivinski LC, Compo GP, Whitaker JS, Sardeshmukh PD, Giese BS, McColl C, Allan R, Yin X, Vose R, Titchner H, Kennedy J (2019) Towards a more reliable historical reanalysis: improvements for version 3 of the Twentieth Century Reanalysis system. Q J R Meteorol Soc 145:2876–2908. https://doi.org/10.1002/qj.3598
Song L, Li Y, Duan W (2016) The influence of boreal winter extratropical North Pacific oscillation on Australian spring rainfall. Clim Dyn 47:1181–1196. https://doi.org/10.1007/s00382-015-2895-4
Sun C, Yang S (2012) Persistent severe drought in southern China during winter–spring 2011: large-scale circulation patterns and possible impacting factors. J Geophys Res Atmos 117:D10112. https://doi.org/10.1029/2012JD017500
Sung M-K, Yoo C, Yeh S-W, Kosaka Y, An S-I (2020) Characteristics of the North Pacific oscillation in CMIP5 models in relation to atmospheric mean states. J Clim 33:3809–3825. https://doi.org/10.1175/jcli-d-19-0446.1
Takaya K, Nakamura H (2001) A formulation of a phase-independent wave-activity flux for stationary and migratory quasigeostrophic eddies on a zonally varying basic flow. J Atmos Sci 58:608–627. https://doi.org/10.1175/1520-0469(2001)058<0608:AFOAPI>2.0.CO;2
Wan R, Wu G (2007) Mechanism of the spring persistent rains over southeastern China. Sci China Ser D Earth Sci 50:130–144. https://doi.org/10.1007/s11430-007-2069-2
Wang L, Chen W, Fong S, Liang J (2011) The seasonal March of the North Pacific oscillation and its association with the interannual variations of China’s climate in boreal winter and spring (in Chinese). Chin J Atmos Sci 35:393–402. https://doi.org/10.3878/j.issn.1006-9895.2011.03.01
Wang B et al (2021) Monsoons climate change assessment. Bull Am Meteorol Soc 102:E1–E19. https://doi.org/10.1175/BAMS-D-19-0335.1
Wen X, Wang S, Zhu J, Viner D (2006) An overview of China climate change over the 20th century using UK UEA/CRU high resolution grid data (in Chinese). Chin J Atmos Sci 30:894–904. https://doi.org/10.3878/j.issn.1006-9895.2006.05.18
Wu X, Mao J (2016) Interdecadal modulation of ENSO-related spring rainfall over South China by the Pacific decadal oscillation. Clim Dyn 47:3203–3220. https://doi.org/10.1007/s00382-016-3021-y
Wu X, Mao J (2018) Spatial and interannual variations of spring rainfall over eastern China in association with PDO-ENSO events. Theoret Appl Climatol 134:935–953. https://doi.org/10.1007/s00704-017-2323-2
Xin X, Wu T, Zhang J, Yao J, Fang Y (2020) Comparison of CMIP6 and CMIP5 simulations of precipitation in China and the east Asian summer monsoon. Int J Climatol 40:6423–6440. https://doi.org/10.1002/joc.6590
You Y, Jia X (2018) Interannual variations and prediction of spring precipitation over China. J Clim 31:655–670. https://doi.org/10.1175/JCLI-D-17-0233.1
Zhang Y, Zhou W, Wang X, Wang X, Zhang R, Li Y, Gan J (2022) IOD, ENSO, and seasonal precipitation variation over Eastern China. Atmos Res 270:106042. https://doi.org/10.1016/j.atmosres.2022.106042
Zhou BT (2013) Weakening of winter North Atlantic Oscillation signal in spring precipitation over southern China. Atmos Ocean Sci Lett 6:248–252. https://doi.org/10.3878/j.issn.1674-2834.13.0010
Zhuge A, Tan B (2021) The springtime western Pacific pattern: its formation and maintenance mechanisms and climate impacts. J Clim 34:4913–4936. https://doi.org/10.1175/JCLI-D-20-0051.1
Funding
This work was jointly supported by the Guangdong Major Project of Basic and Applied Basic Research (grant number 2020B0301030004), the Strategic Priority Research Program of the Chinese Academy of Sciences (grant number XDB40000000) and the National Natural Science Foundation of China (grant numbers 42288101, 42175076, and 41975109).
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Shabin Hao, Jiandong Li, and Jiangyu Mao contributed to the conceptualization and design of the study. Material preparation, data collection, and analysis were performed by Shabin Hao. The first draft of the manuscript was written by Shabin Hao, and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.
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Hao, S., Li, J., Mao, J. et al. Interannual variability of spring rainfall over South China in association with the North Pacific Oscillation and North Atlantic Oscillation as revealed by reanalysis data and CMIP6 simulations. Clim Dyn 62, 7535–7557 (2024). https://doi.org/10.1007/s00382-024-07293-0
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DOI: https://doi.org/10.1007/s00382-024-07293-0