Articles | Volume 2, issue 3
https://doi.org/10.5194/wcd-2-653-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wcd-2-653-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Drivers of uncertainty in future projections of Madden–Julian Oscillation teleconnections
Department of Earth System Science, University of California, Irvine, Irvine, CA, USA
Department of Atmospheric Science, Colorado State University, Fort Collins, CO, USA
David A. Randall
Department of Atmospheric Science, Colorado State University, Fort Collins, CO, USA
Elizabeth A. Barnes
Department of Atmospheric Science, Colorado State University, Fort Collins, CO, USA
Related subject area
Dynamical processes in the tropics, incl. tropical–extratropical interactions
Can low-resolution CMIP6 ScenarioMIP models provide insight into future European post-tropical-cyclone risk?
Non-linear intensification of monsoon low-pressure systems by the BSISO
Investigation of dynamical scenarios leading to particularly high impact of Aeolus on NWP forecasts
Dynamics of gap winds in the Great Rift Valley, Ethiopia: emphasis on strong winds at Lake Abaya
Metrics of the Hadley circulation strength and associated circulation trends
Characterising the interaction of tropical and extratropical air masses controlling East Asian summer monsoon progression using a novel frontal detection approach
Extreme Atlantic hurricane seasons made twice as likely by ocean warming
Synoptic processes of winter precipitation in the Upper Indus Basin
Acceleration of tropical cyclones as a proxy for extratropical interactions: synoptic-scale patterns and long-term trends
Subtle influence of the Atlantic Meridional Overturning Circulation (AMOC) on seasonal sea surface temperature (SST) hindcast skill in the North Atlantic
Zonal scale and temporal variability of the Asian monsoon anticyclone in an idealised numerical model
African easterly waves in an idealized general circulation model: instability and wave packet diagnostics
How Rossby wave breaking modulates the water cycle in the North Atlantic trade wind region
The effect of seasonally and spatially varying chlorophyll on Bay of Bengal surface ocean properties and the South Asian monsoon
Dominant patterns of interaction between the tropics and mid-latitudes in boreal summer: causal relationships and the role of timescales
Abrupt transitions in an atmospheric single-column model with weak temperature gradient approximation
The American monsoon system in HadGEM3 and UKESM1
Elliott Michael Sainsbury, Reinhard K. H. Schiemann, Kevin I. Hodges, Alexander J. Baker, Len C. Shaffrey, Kieran T. Bhatia, and Stella Bourdin
Weather Clim. Dynam., 3, 1359–1379, https://doi.org/10.5194/wcd-3-1359-2022, https://doi.org/10.5194/wcd-3-1359-2022, 2022
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Post-tropical cyclones (PTCs) can bring severe weather to Europe. By tracking and identifying PTCs in five global climate models, we investigate how the frequency and intensity of PTCs may change across Europe by 2100. We find no robust change in the frequency or intensity of Europe-impacting PTCs in the future. This study indicates that large uncertainties surround future Europe-impacting PTCs and provides a framework for evaluating PTCs in future generations of climate models.
Kieran M. R. Hunt and Andrew G. Turner
Weather Clim. Dynam., 3, 1341–1358, https://doi.org/10.5194/wcd-3-1341-2022, https://doi.org/10.5194/wcd-3-1341-2022, 2022
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More than half of India's summer monsoon rainfall arises from low-pressure systems: storms originating over the Bay of Bengal. In observation-based data, we examine how the generation and pathway of these storms are changed by the
boreal summer intraseasonal oscillation– the chief means of large-scale control on the monsoon at timescales of a few weeks. Our study offers new insights for useful prediction of these storms, important for both water resources planning and disaster early warning.
Anne Martin, Martin Weissmann, and Alexander Cress
EGUsphere, https://doi.org/10.5194/egusphere-2022-1150, https://doi.org/10.5194/egusphere-2022-1150, 2022
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Global wind profiles from the Aeolus satellite mission are an important recent substitute to the Global Observing System (GOS), showing an overall positive impact on NWP forecasts. This study highlights indications of atmospheric dynamic phenomena constituting pathways for significant improvement of Aeolus for future research studies, including large-scale tropical circulation systems and the interaction of tropical cyclones undergoing an extratropical transition with the mid-latitude waveguide.
Cornelius Immanuel Weiß, Alexander Gohm, Mathias Walter Rotach, and Thomas Torora Minda
Weather Clim. Dynam., 3, 1003–1019, https://doi.org/10.5194/wcd-3-1003-2022, https://doi.org/10.5194/wcd-3-1003-2022, 2022
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Two gap flow events in the Great Rift Valley in Ethiopia were investigated based on observations, ERA5 reanalysis data, and simulations with the numerical weather prediction model WRF. The main focus was on strong winds in the area around Lake Abaya since the winds may generate waves on the lake which help to sustain the lake's ecology. That is important in terms of food supply for the local population. The gap winds exhibit a diurnal cycle and a seasonal dependence.
Matic Pikovnik, Žiga Zaplotnik, Lina Boljka, and Nedjeljka Žagar
Weather Clim. Dynam., 3, 625–644, https://doi.org/10.5194/wcd-3-625-2022, https://doi.org/10.5194/wcd-3-625-2022, 2022
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Potential future changes in the Hadley cells (HCs), either to their strength or their meridional extent, will profoundly impact the global distribution of precipitation. Therefore, to objectively evaluate and inter-compare past and future changes in the overall HC strength between different studies, a unified metric is required. The study proposes two new metrics, which alleviate the spatial inhomogeneities of the HC strength trend.
Ambrogio Volonté, Andrew G. Turner, Reinhard Schiemann, Pier Luigi Vidale, and Nicholas P. Klingaman
Weather Clim. Dynam., 3, 575–599, https://doi.org/10.5194/wcd-3-575-2022, https://doi.org/10.5194/wcd-3-575-2022, 2022
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In this study we analyse the complex seasonal evolution of the East Asian summer monsoon. Using reanalysis data, we show the importance of the interaction between tropical and extratropical air masses converging at the monsoon front, particularly during its northward progression. The upper-level flow pattern (e.g. the westerly jet) controls the balance between the airstreams and thus the associated rainfall. This framework provides a basis for studies of extreme events and climate variability.
Peter Pfleiderer, Shruti Nath, and Carl-Friedrich Schleussner
Weather Clim. Dynam., 3, 471–482, https://doi.org/10.5194/wcd-3-471-2022, https://doi.org/10.5194/wcd-3-471-2022, 2022
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Tropical cyclones are amongst the most dangerous weather events. Here we develop an empirical model that allows us to estimate the number and strengths of tropical cyclones for given atmospheric conditions and sea surface temperatures. An application of the model shows that atmospheric circulation is the dominant factor for seasonal tropical cyclone activity. However, warming sea surface temperatures have doubled the likelihood of extremely active hurricane seasons in the past decades.
Jean-Philippe Baudouin, Michael Herzog, and Cameron A. Petrie
Weather Clim. Dynam., 2, 1187–1207, https://doi.org/10.5194/wcd-2-1187-2021, https://doi.org/10.5194/wcd-2-1187-2021, 2021
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Western disturbances are mid-latitude, high-altitude, low-pressure areas that bring orographic precipitation into the Upper Indus Basin. Using statistical tools, we show that the interaction between western disturbances and relief explains the near-surface, cross-barrier wind activity. We also reveal the existence of a moisture pathway from the nearby seas. Overall, we offer a conceptual framework for western-disturbance activity, particularly in terms of precipitation.
Anantha Aiyyer and Terrell Wade
Weather Clim. Dynam., 2, 1051–1072, https://doi.org/10.5194/wcd-2-1051-2021, https://doi.org/10.5194/wcd-2-1051-2021, 2021
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We diagnose the mean circulations in the extratropics that are associated with rapid changes in the tropical storm storm speeds in the Atlantic. We show that rapid acceleration and deceleration are associated with distinct phasing between the tropical cyclone and weather waves of the extratropics. Over the past 5 decades, rapid acceleration and deceleration of tropical cyclones have reduced in magnitude. This might be related to the poleward shift and weakening of these extratropical waves.
Julianna Carvalho-Oliveira, Leonard Friedrich Borchert, Aurélie Duchez, Mikhail Dobrynin, and Johanna Baehr
Weather Clim. Dynam., 2, 739–757, https://doi.org/10.5194/wcd-2-739-2021, https://doi.org/10.5194/wcd-2-739-2021, 2021
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This work questions the influence of the Atlantic Meridional Overturning Circulation, an important component of the climate system, on the variability in North Atlantic sea surface temperature (SST) a season ahead, particularly how this influence affects SST prediction credibility 2–4 months into the future. While we find this relationship is relevant for assessing SST predictions, it strongly depends on the time period and season we analyse and is more subtle than what is found in observations.
Philip Rupp and Peter Haynes
Weather Clim. Dynam., 2, 413–431, https://doi.org/10.5194/wcd-2-413-2021, https://doi.org/10.5194/wcd-2-413-2021, 2021
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We study a range of dynamical aspects of the Asian monsoon anticyclone as the response of a simple numerical model to a steady imposed heating distribution with different background flow configurations. Particular focus is given on interactions between the monsoon anticyclone and active mid-latitude dynamics, which we find to have a zonally localising effect on the time-mean circulation and to be able to qualitatively alter the temporal variability of the bulk anticyclone.
Joshua White and Anantha Aiyyer
Weather Clim. Dynam., 2, 311–329, https://doi.org/10.5194/wcd-2-311-2021, https://doi.org/10.5194/wcd-2-311-2021, 2021
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Using a simple general circulation model, we examine the structure of waves in the mid-tropospheric jet over North Africa. We show that waves occur in near-stationary groups or wave packets. As they are not swept out of the jet, this may provide the opportunity for the packets to amplify via feedback from other energy sources like rain-producing cloud complexes and mineral dust that are known to operate here. Our results address the criticism that the easterly jet is too short to sustain waves.
Franziska Aemisegger, Raphaela Vogel, Pascal Graf, Fabienne Dahinden, Leonie Villiger, Friedhelm Jansen, Sandrine Bony, Bjorn Stevens, and Heini Wernli
Weather Clim. Dynam., 2, 281–309, https://doi.org/10.5194/wcd-2-281-2021, https://doi.org/10.5194/wcd-2-281-2021, 2021
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The interaction of clouds in the trade wind region with the atmospheric flow is complex and at the heart of uncertainties associated with climate projections. In this study, a natural tracer of atmospheric circulation is used to establish a link between air originating from dry regions of the midlatitudes and the occurrence of specific cloud patterns. Two pathways involving transport within midlatitude weather systems are identified, by which air is brought into the trades within 5–10 d.
Jack Giddings, Adrian J. Matthews, Nicholas P. Klingaman, Karen J. Heywood, Manoj Joshi, and Benjamin G. M. Webber
Weather Clim. Dynam., 1, 635–655, https://doi.org/10.5194/wcd-1-635-2020, https://doi.org/10.5194/wcd-1-635-2020, 2020
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The impact of chlorophyll on the southwest monsoon is unknown. Here, seasonally varying chlorophyll in the Bay of Bengal was imposed in a general circulation model coupled to an ocean mixed layer model. The SST increases by 0.5 °C in response to chlorophyll forcing and shallow mixed layer depths in coastal regions during the inter-monsoon. Precipitation increases significantly to 3 mm d-1 across Myanmar during June and over northeast India and Bangladesh during October, decreasing model bias.
Giorgia Di Capua, Jakob Runge, Reik V. Donner, Bart van den Hurk, Andrew G. Turner, Ramesh Vellore, Raghavan Krishnan, and Dim Coumou
Weather Clim. Dynam., 1, 519–539, https://doi.org/10.5194/wcd-1-519-2020, https://doi.org/10.5194/wcd-1-519-2020, 2020
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We study the interactions between the tropical convective activity and the mid-latitude circulation in the Northern Hemisphere during boreal summer. We identify two circumglobal wave patterns with phase shifts corresponding to the South Asian and the western North Pacific monsoon systems at an intra-seasonal timescale. These patterns show two-way interactions in a causal framework at a weekly timescale and assess how El Niño affects these interactions.
Benjamin A. Stephens and Charles S. Jackson
Weather Clim. Dynam., 1, 389–404, https://doi.org/10.5194/wcd-1-389-2020, https://doi.org/10.5194/wcd-1-389-2020, 2020
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We analyze abrupt transitions between tropical rainfall regimes in a single-column model (SCM) of the tropical atmosphere. Multiple equilibria have been observed before in SCMs, but here we analyze actual bifurcations. We attribute the transitions to a sudden loss of evaporative cooling in the lower column due to nonlinearities in microphysics. This study may have implications for atmospheric dynamics more broadly but also for understanding abrupt transitions in paleoclimate.
Jorge L. García-Franco, Lesley J. Gray, and Scott Osprey
Weather Clim. Dynam., 1, 349–371, https://doi.org/10.5194/wcd-1-349-2020, https://doi.org/10.5194/wcd-1-349-2020, 2020
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The American monsoon system is the main source of rainfall for the subtropical Americas and an important element of Latin American agriculture. Here we use state-of-the-art climate models from the UK Met Office in different configurations to analyse the performance of these models in the American monsoon. Resolution is found to be a key factor to improve monsoon representation, whereas integrated chemistry does not improve the simulated monsoon rainfall.
Cited articles
Adames, Á. F. and Wallace, J. M.: Three-Dimensional Structure and
Evolution of the MJO and Its Relation to the Mean Flow, J. Atmos. Sci., 71,
2007–2026, https://doi.org/10.1175/JAS-D-13-0254.1, 2014. a, b, c
Adames, Á. F., Kim, D., Sobel, A. H., Del Genio, A., and Wu, J.: Changes in
the structure and propagation of the MJO with increasing CO 2, J. Adv.
Model. Earth Syst., 9, 1251–1268, https://doi.org/10.1002/2017MS000913, 2017. a
Ahn, M., Kim, D., Kang, D., Lee, J., Sperber, K. R., Gleckler, P. J., Jiang,
X., Ham, Y., and Kim, H.: MJO propagation across the maritime continent:
Are CMIP6 models better than CMIP5 models?, Geophys. Res. Lett., 47, e2020GL08725,
https://doi.org/10.1029/2020gl087250,
2020. a, b, c
Arnold, N. P., Kuang, Z., and Tziperman, E.: Enhanced MJO-like Variability at
High SST, J. Clim., 26, 988–1001, 2013. a
Bladé, I. and Hartmann, D. L.: The Linear and Nonlinear Extratropical
Response of the Atmosphere to Tropical Intraseasonal Heating, J. Atmos. Sci.,
52, 4448–4471, https://doi.org/10.1175/1520-0469(1995)052<4448:TLANER>2.0.CO;2, 1995. a, b, c
Bui, H. X. and Maloney, E. D.: Mechanisms for Global Warming Impacts on
Madden–Julian Oscillation Precipitation Amplitude, J. Clim., 32,
6961–6975, https://doi.org/10.1175/JCLI-D-19-0051.1, 2019a. a, b
Bui, H. X. and Maloney, E. D.: Transient Response of MJO Precipitation and
Circulation to Greenhouse Gas Forcing, Geophys. Res. Lett., 7, 847,
https://doi.org/10.1029/2019GL085328, 2019b. a, b
Cui, J. and Li, T.: Changes of MJO propagation characteristics under global
warming, Clim. Dyn., 53, 5311–5327, 2019. a
Deng, Y. and Jiang, T.: Intraseasonal Modulation of the North Pacific Storm
Track by Tropical Convection in Boreal Winter, J. Clim., 24, 1122–1137,
2011. a
Eyring, V., Bony, S., Meehl, G. A., Senior, C. A., Stevens, B., Stouffer, R. J., and Taylor, K. E.: 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, 2016. a
Goss, M. and Feldstein, S. B.: Testing the sensitivity of the extratropical
response to the location, amplitude, and propagation speed of tropical
convection, J. Atmos. Sci., 75, 639–655,
https://doi.org/10.1175/JAS-D-17-0132.1, 2017. a
Guo, Y., Shinoda, T., Lin, J., and Chang, E. K. M.: Variations of Northern
Hemisphere Storm Track and Extratropical Cyclone Activity Associated with the
Madden–Julian Oscillation, J. Clim., 30, 4799–4818, 2017. a
Hoskins, B. J. and Ambrizzi, T.: Rossby Wave Propagation on a Realistic
Longitudinally Varying Flow, J. Atmos. Sci., 50, 1661–1671,
https://doi.org/10.1175/1520-0469(1993)050<1661:RWPOAR>2.0.CO;2, 1993. a, b, c, d
Jenney, A. M., Randall, D. A., and Barnes, E. A.: Quantifying Regional
Sensitivities to Periodic Events: Application to the MJO, J. Geophys. Res.-Atmos., 44, 7528, https://doi.org/10.1029/2018JD029457, 2019. a, b
Jenney, A. M., Randall, D. A., and Barnes, E. A.: Drivers of uncertainty in future projections of MJO teleconnections: Data for figures (Version 02), Zenodo [data set], https://doi.org/10.5281/zenodo.4737438, 2021. a
Jiang, X., Maloney, E., and Su, H.: Large-scale controls of propagation of the
Madden-Julian Oscillation, npj Clim. Atmos. Sci., 3, 1–8,
https://doi.org/10.1038/s41612-020-00134-x, 2020. a, b
Karoly, D. J.: Rossby wave propagation in a barotropic atmosphere, Dyn. Atmos.
Oceans, 7, 111–125, https://doi.org/10.1016/0377-0265(83)90013-1, 1983. a, b, c
Lehner, F., Deser, C., Maher, N., Marotzke, J., Fischer, E. M., Brunner, L.,
Knutti, R., and Hawkins, E.: Partitioning climate projection uncertainty with
multiple large ensembles and CMIP5/6, Earth System Change: Climate
Scenarios, 11, 491–508, 2020. a
Li, Y., Li, J., Jin, F. F., and Zhao, S.: Interhemispheric Propagation of
Stationary Rossby Waves in a Horizontally Nonuniform Background Flow, J.
Atmos. Sci., 72, 3233–3256, 2015. a
Maloney, E. D. and Xie, S.-P.: Sensitivity of tropical intraseasonal
variability to the pattern of climate warming, J. Adv. Model. Earth Syst., 5,
32–47, https://doi.org/10.1029/2012MS000171, 2013. a
Maloney, E. D., Adames, Á. F., and Bui, H. X.: Madden–Julian oscillation
changes under anthropogenic warming, Nat. Clim. Chang., 9, 26–33,
https://doi.org/10.1038/s41558-018-0331-6, 2019. a, b, c, d
Mori, M. and Watanabe, M.: The Growth and Triggering Mechanisms of the PNA: A
MJO-PNA Coherence, J. Meteorol. Soc. Japan, 86, 213–236,
https://doi.org/10.2151/jmsj.86.213, 2008. a, b, c
Moss, R. H., Edmonds, J. A., Hibbard, K. A., Manning, M. R., Rose, S. K., van
Vuuren, D. P., Carter, T. R., Emori, S., Kainuma, M., Kram, T., Meehl, G. A.,
Mitchell, J. F. B., Nakicenovic, N., Riahi, K., Smith, S. J., Stouffer,
R. J., Thomson, A. M., Weyant, J. P., and Wilbanks, T. J.: The next
generation of scenarios for climate change research and assessment, Nature,
463, 747–756, 2010. a
O'Neill, B. C., Kriegler, E., Ebi, K. L., Kemp-Benedict, E., Riahi, K.,
Rothman, D. S., van Ruijven, B. J., van Vuuren, D. P., Birkmann, J., Kok, K.,
Levy, M., and Solecki, W.: The roads ahead: Narratives for shared
socioeconomic pathways describing world futures in the 21st century, Glob.
Environ. Change, 42, 169–180, 2017. a
Robertson, A. W., Kumar, A., Peña, M., and Vitart, F.: Improving and
promoting subseasonal to seasonal prediction, Bull. Am. Meteorol. Soc., 96,
ES49–ES53, https://doi.org/10.1175/BAMS-D-14-00139.1, 2015. a
Rushley, S. S., Kim, D., and Adames, Á. F.: Changes in the MJO under
Greenhouse Gas–Induced Warming in CMIP5 Models, J. Clim., 32, 803–821,
https://doi.org/10.1175/JCLI-D-18-0437.1, 2019. a, b, c, d
Santer, B. D., Wigley, T. M. L., Mears, C., Wentz, F. J., Klein, S. A., Seidel,
D. J., Taylor, K. E., Thorne, P. W., Wehner, M. F., Gleckler, P. J., Boyle,
J. S., Collins, W. D., Dixon, K. W., Doutriaux, C., Free, M., Fu, Q., Hansen,
J. E., Jones, G. S., Ruedy, R., Karl, T. R., Lanzante, J. R., Meehl, G. A.,
Ramaswamy, V., Russell, G., and Schmidt, G. A.: Amplification of surface
temperature trends and variability in the tropical atmosphere, Science, 309,
1551–1556, 2005. a, b
Sardeshmukh, P. D. and Hoskins, B. J.: The Generation of Global Rotational Flow
by Steady Idealized Tropical Divergence, Atmos. Sci., 45, 1228–1251,
https://doi.org/10.1175/1520-0469(1988)045<1228:TGOGRF>2.0.CO;2, 1988. a, b, c
Seo, K.-H. and Lee, H.-J.: Mechanisms for a PNA-Like Teleconnection Pattern
in Response to the MJO, J. Atmos. Sci., 74, 1767–1781,
https://doi.org/10.1175/JAS-D-16-0343.1, 2017. a
Seo, K.-H. and Son, S.-W.: The Global Atmospheric Circulation Response to
Tropical Diabatic Heating Associated with the Madden–Julian Oscillation
during Northern Winter, J. Atmos. Sci., 69, 79–96,
https://doi.org/10.1175/2011JAS3686.1, 2012. a, b
Subramanian, A., Jochum, M., Miller, A. J., Neale, R., Seo, H., Waliser, D.,
and Murtugudde, R.: The MJO and global warming: A study in CCSM4, Clim.
Dyn., 42, 2019–2031, https://doi.org/10.1007/s00382-013-1846-1, 2014. a
Takahashi, C. and Shirooka, R.: Storm track activity over the North Pacific
associated with the Madden-Julian Oscillation under ENSO conditions
during boreal winter, J. Geophys. Res., 119, 10663–10683, 2014. a
Ting, M. and Held, I. M.: The Stationary Wave Response to a Tropical SST
Anomaly in an Idealized GCM, J. Atmos. Sci., 47, 2546–2566, 1990. a
Towns, J., Cockerill, T., Dahan, M., Foster, I., Gaither, K., Grimshaw, A.,
Hazlewood, V., Lathrop, S., Lifka, D., Peterson, G. D., Roskies, R., Scott,
J. R., and Wilkins-Diehr, N.: XSEDE: Accelerating Scientific Discovery,
Comput. Sci. Eng., 16, 62–74, 2014. a
Tseng, K.-C., Maloney, E., and Barnes, E.: The Consistency of MJO
Teleconnection Patterns: An Explanation Using Linear Rossby Wave Theory, J.
Clim., 32, 531–548, https://doi.org/10.1175/JCLI-D-18-0211.1, 2019. a
Tseng, K.-C., Barnes, E. A., and Maloney, E.: The Importance of Past MJO
Activity in Determining the Future State of the Midlatitude Circulation, J.
Clim., 33, 2131–2147, 2020a. a
Watanabe, M. and Kimoto, M.: Atmosphere-ocean thermal coupling in the North
Atlantic: A positive feedback, Q. J. Roy. Met. Soc., 126, 3343–3369,
https://doi.org/10.1002/qj.49712657017, 2000. a, b, c
World Climate Research Programme (WCRP): CMIP6 data, available at: https://esgf-node.llnl.gov/search/cmip6/, last access: 10 November 2020. a
Wolding, B. O., Maloney, E. D., and Branson, M.: Vertically resolved weak
temperature gradient analysis of the Madden-Julian Oscillation in
SP-CESM, J. Adv. Model. Earth Syst., 8, 1586–1619,
https://doi.org/10.1002/2016MS000724, 2016. a, b
Wolding, B. O., Maloney, E. D., Henderson, S., and Branson, M.: Climate change
and the Madden-Julian Oscillation: A vertically resolved weak temperature
gradient analysis, J. Adv. Model. Earth Syst., 9,
307–331, https://doi.org/10.1002/2016MS000843, 2017. a, b, c
Yadav, P. and Straus, D. M.: Circulation Response to Fast and Slow MJO
Episodes, Mon. Weather Rev., 145, 1577–1596, 2017. a
Zhou, S., L'Heureux, M., Weaver, S., and Kumar, A.: A composite study of the
MJO influence on the surface air temperature and precipitation over the
Continental United States, Clim. Dyn., 38, 1459–1471, 2012. a
Short summary
Storm activity in the tropics is one of the key phenomena that provide weather predictability on an extended timescale of about 10–40 d. The influence of tropical storminess on places like North America is sensitive to the overall average state of the climate system. In this study, we try to unpack the reasons why climate models do not agree on how the influence of these storms on weather over the North Pacific and North America will change in the future.
Storm activity in the tropics is one of the key phenomena that provide weather predictability on...