Abstract
In this study, we contrast the distinct energy recharge-discharge cycle between propagating and eastward-decaying Madden–Julian Oscillation (MJO) events during the boreal winter season (November–April) from 1979 to 2018 using the moist static energy (MSE) budget and gross moist stability (GMS) plane analyses. A total of 41 MJO events are selected during the 40-year period, including 16 strong propagating (SP), 13 weak propagating (WP) and 12 eastward-decaying (ED) types of MJOs. The column-integrated MSE budget shows that, depending on the phases, vertical and horizontal advection terms take turns leading the role in discharging or recharging the MSE. In the phase when the net flux heating reaches the maximum, vertical advection plays the lead role in discharging the MSE. In the subsequent phases when the net flux heating gradually weakens, horizontal advection becomes the dominant factor in discharging the MSE. A similar situation occurs during the recharge phases to balance the net flux cooling. The SP MJO exhibits a stronger energy recharge-discharge cycle compared to the WP and ED MJOs, and the contrast significantly enlarges from the Indian Ocean to the Maritime Continent. The GMS plane analysis further reveals that four different types of convection attribute to the recharge-discharge process. During the wet phases, the top-heavy ascending motion and negative shallow convection jointly stabilize the atmosphere by exporting the MSE; while during the dry phases, the top-heavy descending motion and the positive shallow convection together destabilize the atmosphere through importing the MSE. Moreover, the recharge (discharge) phase leads the amplifying (decaying) phase by a quarter cycle is essential to maintain a robust energy recharge-discharge cycle to drive the eastward propagating MJOs.
Similar content being viewed by others
Data availability
The ERA-interim reanalysis atmospheric data used in this study are available through the European Center for Medium-range Weather Forecast (ECMWF) website at https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era-interim.
References
Ahn MS, Kim D, Sperber KR, Kang IS, Maloney ED, Waliser DE, Hendon H (2017) MJO simulation in CMIP5 climate models: MJO skill metrics and process-oriented diagnosis. Clim Dyn 49:4023–4045. https://doi.org/10.1007/s00382-017-3558-4
Ahn MS, Kim D, Park S, Ham YG (2019) Do we need to parameterize mesoscale convective organization to mitigate the MJO-mean state trade-off? Geophys Res Lett 46:2293–2301. https://doi.org/10.1029/2018GL080314
Ahn MS, Kim D, Kang LDJ, Sperber KR, Gleckler PJ, Jiang X, Ham YG, Kim H (2020a) MJO propagation across the maritime continent: are CMIP6 models better than CMIP5 models? Geophys Res Lett 47:7250. https://doi.org/10.1029/2020GL087250
Ahn MS, Kim D, Ham YG, Park S (2020b) Role of Maritime Continent land convection on the mean state and MJO propagation. J Clim 33:1659–1675. https://doi.org/10.1175/JCLI-D-19-0342.1
Back LE, Bretherton CS (2009) A simple model of climatological rainfall and vertical motion patterns over the tropical oceans. J Atmos Sci 22:6477–6497. https://doi.org/10.1175/2009JCLI2393.1
Benedict JJ, Maloney ED, Sobel AH, Frierson DMW (2014) Gross moist stability and MJO simulation skill in three full-physics GCMs. J Atmos Sci 71:3327–3349. https://doi.org/10.1175/JAS-D-13-0240.1
Bony A, Emanuel KA (2005) On the role of moist processes in tropical intraseasonal variability: cloud-radiation and moisture-convection feedbacks. J Atmos Sci 62:2770–2789. https://doi.org/10.1175/JAS3506.1
Bui HX, Yu JY (2021) Impacts of model spatial resolution on the simulation of convective spectrum and the associated cloud radiative effect in the tropics. J Meteorol Soc Jpn 99:789–802. https://doi.org/10.2151/jmsj.2021-039
Bui HX, Yu JY, Chou C (2016) Impacts of vertical structure of large-scale vertical motion in tropical climate: moist static energy framework. J Atmos Sci 73:4427–4437. https://doi.org/10.1175/JAS-D-16-0031.1
Chen G, Wang B (2020) Circulation factors determining the propagation speed of the Madden–Julian Oscillation. J Clim 33:3367–3380. https://doi.org/10.1175/JCLI-D-19-0661.1
Chen YC, Yu JY (2021) Modes of tropical convection and their roles in transporting moisture and moist static energy: contrast between deep and shallow convection. Clim Dyn 57:1789–1803. https://doi.org/10.1007/s00382-021-05777-x
Chen CA, Yu JY, Chou C (2016) Impacts of vertical structure of convection in global warming: the role of shallow convection. J Clim 29:4665–4684. https://doi.org/10.1175/JCLI-D-15-0563.1
Dao LT, Yu JY (2021) Impacts of Madden-Julian Oscillation on tropical cyclone activity over the South China Sea: Observations versus HiRAM simulations. Int J Climatol 41:830–845. https://doi.org/10.1002/JOC.6673
Dee DP et al (2011) The ERA-Interim reanalysis: configuration and performance of the data assimilation system. Q J R Meteorol Soc 137:553–597. https://doi.org/10.1002/qj.828
DeMott CA, Benedict JJ, Klingaman NP, Woolnough SJ, Randall DA (2016) Diagnosing ocean feedbacks to the MJO: SST-modulated surface fluxes and the moist static energy budget. J Geophys Res Atmos 121:8350–8373. https://doi.org/10.1002/2016JD025098
DeMott CA, Wolding BO, Maloney ED, Randall DA (2018) Atmospheric mechanisms for MJO decay over the maritime continent. J Geophys Res Atmos 123:5188–5204. https://doi.org/10.1029/2017JD026979
Duchon CE (1979) Lanczos filtering in one and two dimensions. J Appl Meteorol Climatol 18:1016–1022. https://doi.org/10.1175/1520-0450(1979)018%3c1016:LFIOAT%3e2.0.CO;2
Feng J, Li T, Zhu W (2015) Propagating and non-propagating MJO events over maritime continent. J Clim 28:8430–8449. https://doi.org/10.1175/JCLI-D-15-0085.1
Gonzalez AO, Jiang D (2017) Winter mean lower-tropospheric moisture over the Maritime Continent as a climate model diagnostic metric for the propagation of the Madden-Julian Oscillation. Geophys Res Lett 44:2588–2596. https://doi.org/10.1002/2016GL072430
Gonzalez AO, Jiang X (2019) Distinct propagation characteristics of intraseasonal variability over the tropical west Pacific. J Geophys Res Atmos 124:5332–5351. https://doi.org/10.1029/2018JD029884
Hagos SM, Zhang C, Feng Z, Burleyson CD, DeMott C, Kerns B, Benedict JJ, Martini MN (2016) The impact of the diurnal cycle on the propagation of Madden-Julian Oscillation convection across the Maritime Continent. J Adv Model Earth Syst 8:1552–1564. https://doi.org/10.1002/2016MS000725
Hirata FE, Webster PJ, Toma VE (2013) Distinct manifestations of austral summer tropical intraseasonal oscillations. Geophys Res Lett 40:3337–3341. https://doi.org/10.1002/grl.50632
Hung CS, Sui CH (2018) A diagnostic study of the evolution of the MJO from Indian Ocean to Maritime Continent: wave dynamics versus advective moistening processes. J Clim 31:4095–4115. https://doi.org/10.1175/JCLI-D-17-0139.1
Inoue K, Back LE (2015a) Column-integrated moist static energy budget analysis on various time scales during TOGA COARE. J Atmos Sci 72:1856–1871. https://doi.org/10.1175/JAS-D-14-0249.1
Inoue K, Back LE (2015b) Gross moist stability assessment during TOGA COARE: various interpretations of gross moist stability. J Atmos Sci 72:4148–4166. https://doi.org/10.1175/JAS-D-15-0092.1
Inoue K, Back LE (2017) Gross moist stability analysis: assessment of satellite-based products in the GMS plane. J Atmos Sci 74:1819–1837. https://doi.org/10.1175/JAS-D-16-0218.1
Jiang X (2017) Key processes for the eastward propagation of the Madden-Julian Oscillation based on multi-model simulations. J Geophys Res Atmos 122:755–770. https://doi.org/10.1002/2016JD025955
Jiang X, Adames ÁF, Kim D, Maloney ED, Lin H, Kim H, Zhang C, DeMott CA, Klingaman NP (2020) Fifty years of research on the Madden-Julian Oscillation: recent progress, challenges, and perspectives. J Geophys Res Atmos 2020:125. https://doi.org/10.1029/2019JD030911
Kang D, Kim D, Ahn MS, Neale R, Lee J, Glecker PJ (2020) The role of the mean state on MJO simulation in CESM2 ensemble simulation. Geophys Res Lett 47:e2020GL089824. https://doi.org/10.1029/2020GL089824
Kim D, Sobel AH, Kang IS (2011) A mechanism denial study on the Madden-Julian Oscillation. J Adv Model Earth Syst 3:M12007. https://doi.org/10.1029/2011MS000081
Kim D, Kug JS, Sobel AH (2014a) Propagating versus non-propagating Madden-Julian Oscillation events. J Clim 27:111–125. https://doi.org/10.1175/JCLI-D-13-00084.1
Kim D, Lee MI, Kim HM, Schubert SD, Yoo JH (2014b) The modulation of tropical storm activity in the Western North Pacific by the Madden Julian Oscillation in GEOS-5 AGCM experiments. Atmos Sci Lett 15:335–341. https://doi.org/10.1002/asl2.509
Kim D, Kim HM, Lee MI (2017) Why does the MJO detour the Maritime Continent during austral summer? Geophys Res Lett 44:2579–2587. https://doi.org/10.1002/2017GL072643
Kim H, Janiga MA, Pegion K (2019) MJO propagation processes and mean biases in the SubX and S2S reforecasts. J Geophys Res Atmos 124:9314–9331. https://doi.org/10.1029/2019JD031139
Kuang Z (2011) The wavelength dependence of the gross moist stability and the scale selection in the instability of column-integrated moist static energy. J Atmos Sci 68:61–74. https://doi.org/10.1175/2010JAS3591.1
Lau WKM, Waliser DE, Wang B (2012) Theories. In: Intraseasonal variability in the atmosphere-ocean climate system. Springer Praxis Books, Springer, Berlin, Heidelberg, pp 307–360. https://doi.org/10.1007/3-540-27250-X_10
Lin JL, Lee MI, Kim D, Kang IS, Frierson DMW (2008) The impacts of convective parameterization and moisture triggering on AGCM-simulated convectively coupled equatorial waves. J Clim 21:883–909. https://doi.org/10.1175/2007JCLI1790.1
Liu J, Da Y, Li T, Hu F (2020) Impact of ENSO on MJO pattern evolution over the Maritime Continent. J Meteorol Res 34:1151–1166. https://doi.org/10.1007/s13351-020-0046-2
Lyu M, Jiang X, Wu Z, Kim D, Adames ÁF (2021) Zonal-scale of the Madden-Julian Oscillation and its propagation speed on the interannual time-scale. Geophys Res Lett 48:e2020Gl091239. https://doi.org/10.1029/2020GL091239
Madden RA, Julian PR (1971) Detection of a 40–50 day oscillation in the zonal wind in the tropical Pacific. J Atmos Sci 28:702–708. https://doi.org/10.1175/1520-0469(1971)0282.0.CO;2
Madden RA, Julian PR (1972) Description of global-scale circulation cells in the Tropics with a 40–50 day period. J Atmos Sci 29:1109–1123. https://doi.org/10.1175/1520-0469(1972)029%3c1109:DOGSCC%3e2.0.CO;2
Madden RA, Julian PR (1994) Observations of the 40–50-day tropical oscillation—a review. Mon Weather Rev 122:814–837. https://doi.org/10.1175/1520-0493(1994)122%3c0814:OOTDTO%3e2.0.CO;2
Masunaga H, L’Ecuyer TS (2014) A mechanism of tropical convection inferred from observed variability in the moist static energy budget. J Atmos Sci 71:3747–3766. https://doi.org/10.1175/JAS-D-14-0015.1
Neelin JD, Held IM (1987) Modeling tropical convergence based on the moist static energy budget. Mon Weather Rev 115:3–12. https://doi.org/10.1175/1520-0493(1987)115%3c0003:MTCBOT%3e2.0.CO;2
Raymond DJ, Fuchs Ž (2009) Moisture modes and the Madden–Julian Oscillation. J Clim 22:3031–3046. https://doi.org/10.1175/2008JCLI2739.1
Raymond DJ, Sessions SL, Fuchs Ž (2007) A theory for the spinup of tropical depressions. Q J R Meteorol Soc 133:1743–1754. https://doi.org/10.1002/qj.125
Sobel AH, Bretherton CS (2000) Modeling tropical precipitation in a single column. J Clim 13:4378–4392. https://doi.org/10.1175/1520-0442(2000)013%3c4378:MTPIAS%3e2.0.CO;2
Sobel AH, Maloney ED, Bellon G, Frierson DMW (2010) Surface fluxes and tropical intraseasonal variability: a reassessment. J Adv Model Earth Syst 2:2. https://doi.org/10.3894/JAMES.2010.2.2
Sobel AH, Wang S, Kim D (2014) Moist static energy budget of the MJO during DYNAMO. J Atmos Sci 71:4276–4291. https://doi.org/10.1175/JAS-D-14-0052.1
Suematsu T, Miura H (2018) Zonal SST difference as a potential environmental factor supporting the longevity of the Madden–Julian Oscillation. J Clim 31:7549–7564. https://doi.org/10.1175/JCLI-D-17-0822.1
Suematsu T, Miura H (2022) Changes in the eastward movement speed of the Madden–Julian Oscillation with fluctuation in the walker circulation. J Clim 35:211–225. https://doi.org/10.1175/JCLI-D-21-0269.1
Taraphdar S, Zhang F, Leung LR, Chen X, Pauluis OM (2018) MJO affects the monsoon onset timing over the Indian region. Geophys Res Lett 45:10011–10018. https://doi.org/10.1029/2018GL078804
Wang L, Li T, Maloney ED, Wang B (2017) Fundamental causes of propagating and non-propagating MJOs in MJOTF/GASS models. J Clim 30:3743–3769. https://doi.org/10.1175/JCLI-D-16-0765.1
Wang B, Chen G, Liu F (2019) Diversity of the Madden-Julian Oscillation. Sci Adv 5(7):eaax0220. https://doi.org/10.1126/sciadv.aax0220
Wei Y, Ren HL (2019) Modulation of ENSO on fast and slow MJO modes during boreal winter. J Clim 32:7483–7506. https://doi.org/10.1175/jcli-d-19-0013.1
Wheeler MC, Hendon HH (2004) An all-season real-time multivariate MJO index: development of an index for monitoring and prediction. Mon Weather Rev 132:1917–1932. https://doi.org/10.1175/1520-0493(2004)132%3c1917:AARMMI%3e2.0.CO;2
Wu CH, Hsu HH (2009) Topographic influence on the MJO in the Maritime Continent. J Clim 22:5433–5448. https://doi.org/10.1175/2009JCLI2825.1
Yanai M, Esbensen S, Chu JH (1973) Determination of bulk properties of tropical cloud clusters from large-scale heat and moisture budgets. J Atmos Sci 30:611–627. https://doi.org/10.1175/1520-0469(1973)030%3c0611:DOBPOT%3e2.0.CO;2
Yu JY, Neelin JD (1997) Analytic approximations for moist convectively adjusted regions. J Atmos Sci 54:1054–1063. https://doi.org/10.1175/1520-0469(1997)054%3c1054:AAFMCA%3e2.0.CO;2
Yu JY, Chou C, Neelin JD (1998) Estimating the gross moist stability of the tropical atmosphere. J Atmos Sci 55:1354–1372. https://doi.org/10.1175/1520-0469(1998)055%3c1354:ETGMSO%3e2.0.CO;2
Zhang C (2005) Madden-Julian Oscillation. Rev Geophys 43:RG2003. https://doi.org/10.1029/2004RG000158
Zhang Z (2013) Madden–Julian oscillation: bridging weather and climate. Bull Am Meteorol Soc 94:1849–1870. https://doi.org/10.1175/BAMS-D-12-00026.1
Zhang C, Dong M (2004) Seasonality in the Madden-Julian Oscillation. J Clim 17:3169–3180. https://doi.org/10.1175/1520-0442(2004)017%3c3169:SITMO%3e2.0.CO;2
Zhang C, Gottschalck J (2002) SST anomalies of ENSO and the Madden-Julian Oscillation in the equatorial Pacific. J Clim 15:2429–2445. https://doi.org/10.1175/1520-0442(2002)015%3c2429:SAOEAT%3e2.0.CO;2
Zhang C, Ling J (2017) Barrier effect of the Indo-Pacific Maritime Continent on the MJO: perspectives from tracking MJO precipitation. J Clim 30:3439–3459. https://doi.org/10.1175/JCLI-D-16-0614.1
Acknowledgements
This study was sponsored by the Ministry of Science and Technology (MOST) in Taiwan under grants MOST109-2111-M-008-010 and MOST110-2111-M-008-031. The ERA-interim data were downloaded through the European Center for Medium-range Weather Forecast (ECMWF) website at https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era-interim. The authors sincerely thank the three anonymous reviewers for their critical comments and helpful suggestions to improve the quality of this study.
Funding
This study was sponsored by the Ministry of Science and Technology in Taipei, Taiwan (MOST109-2111-M-008-010 and MOST110-2111-M-008-031).
Author information
Authors and Affiliations
Contributions
The authors confirm contribution to the paper as follows: study conception and design: JYY; data collection and analysis: YCT; interpretation of results and draft manuscript preparation: YCT and JYY. All authors reviewed the results and approved the final version of the manuscript.
Corresponding author
Ethics declarations
Conflict of interest
The authors declare that they have no conflict of interest.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Appendix A
Appendix A
1.1 Estimating phase speeds of SP, WP and ED MJO events
Figure
8a–c illustrates the Hovmöller diagrams of OLR and U850 anomalies composited respectively over the SP, WP and ED MJO events. The enhanced convection (negative OLR anomalies) is generally accompanied by low-level westerly wind anomalies. All three types of MJO events show a clear eastward propagation of convection and circulation over the Indian Ocean (60° E–90° E). We note that while the convection intensity associated with the SP and WP MJOs slightly weakens over the Maritime Continent (100° E–135° E), it tends to rejuvenate over the western Pacific warm pool (135° E–160° E). By contrast, the convection intensity of the ED MJO decays quickly prior to approaching the Maritime Continent. Following Zhang and Ling (2017), the regions with OLR anomalies less than – 10 W m−2 are selected to obtain the linearly regressed phase lines (denoted by the magenta dash lines) for various types of MJOs. As shown in Fig. 8, a stronger MJO convection event is accompanied by a slower phase speed. Specifically, the SP and WP MJOs propagate eastward across the Indo-Pacific warm pool (60° E–180°) at a speed of about 3.88 m s−1 and 5.90 m s−1, respectively, whereas the ED MJO propagates eastward only over the Indian Ocean (60° E–105° E) with a much faster speed of about 8.01 m s−1.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Tsai, YC., Yu, JY. Contrasting the energy recharge-discharge cycle between propagating and eastward-decaying Madden–Julian Oscillation events. Clim Dyn 61, 2565–2579 (2023). https://doi.org/10.1007/s00382-023-06711-z
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00382-023-06711-z