Articles | Volume 3, issue 2
https://doi.org/10.5194/wcd-3-413-2022
© Author(s) 2022. 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-3-413-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
05 Apr 2022
Research article |
| 05 Apr 2022
| 05 Apr 2022
Tropical influence on heat-generating atmospheric circulation over Australia strengthens through spring
Roseanna C. McKay
CORRESPONDING AUTHOR
School of Earth, Atmosphere and Environment, Monash University, Melbourne, Victoria, Australia
Australian Research Council Centre of Excellence for Climate Extremes, Monash University, Melbourne, Victoria, Australia
Bureau of Meteorology, Melbourne, Victoria, Australia
Julie M. Arblaster
School of Earth, Atmosphere and Environment, Monash University, Melbourne, Victoria, Australia
Australian Research Council Centre of Excellence for Climate Extremes, Monash University, Melbourne, Victoria, Australia
National Center for Atmospheric Research, Boulder, Colorado, USA
Pandora Hope
Bureau of Meteorology, Melbourne, Victoria, Australia
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John Patrick Dunne, Helene T. Hewitt, Julie Arblaster, Frédéric Bonou, Olivier Boucher, Tereza Cavazos, Paul J. Durack, Birgit Hassler, Martin Juckes, Tomoki Miyakawa, Matthew Mizielinski, Vaishali Naik, Zebedee Nicholls, Eleanor O’Rourke, Robert Pincus, Benjamin M. Sanderson, Isla R. Simpson, and Karl E. Taylor
EGUsphere, https://doi.org/10.5194/egusphere-2024-3874, https://doi.org/10.5194/egusphere-2024-3874, 2024
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This manuscript provides the motivation and experimental design for the seventh phase of the Coupled Model Intercomparison Project (CMIP7) to coordinate community based efforts to answer key and timely climate science questions and facilitate delivery of relevant multi-model simulations for: prediction and projection, characterization, attribution and process understanding; vulnerability, impacts and adaptations analysis; national and international climate assessments; and society at large.
Justin Peter, Elisabeth Vogel, Wendy Sharples, Ulrike Bende-Michl, Louise Wilson, Pandora Hope, Andrew Dowdy, Greg Kociuba, Sri Srikanthan, Vi Co Duong, Jake Roussis, Vjekoslav Matic, Zaved Khan, Alison Oke, Margot Turner, Stuart Baron-Hay, Fiona Johnson, Raj Mehrotra, Ashish Sharma, Marcus Thatcher, Ali Azarvinand, Steven Thomas, Ghyslaine Boschat, Chantal Donnelly, and Robert Argent
Geosci. Model Dev., 17, 2755–2781, https://doi.org/10.5194/gmd-17-2755-2024, https://doi.org/10.5194/gmd-17-2755-2024, 2024
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We detail the production of datasets and communication to end users of high-resolution projections of rainfall, runoff, and soil moisture for the entire Australian continent. This is important as previous projections for Australia were for small regions and used differing techniques for their projections, making comparisons difficult across Australia's varied climate zones. The data will be beneficial for research purposes and to aid adaptation to climate change.
Related subject area
Atmospheric teleconnections incl. stratosphere–troposphere coupling
Dynamics of stratospheric wave reflection over the North Pacific
The impact of tropospheric blockings on duration of the sudden stratospheric warmings in boreal winter 2023/24
Assessing stratospheric contributions to subseasonal predictions of precipitation after the 2018 SSW from SNAPSI
A process-based evaluation of biases in extratropical stratosphere–troposphere coupling in subseasonal forecast systems
The role of the Indian Ocean Dipole in modulating the austral spring ENSO teleconnection to the Southern Hemisphere
Model spread in multidecadal North Atlantic Oscillation variability connected to stratosphere–troposphere coupling
Opposite spectral properties of Rossby waves during weak and strong stratospheric polar vortex events
Stratospheric influence on the winter North Atlantic storm track in subseasonal reforecasts
How do different pathways connect the stratospheric polar vortex to its tropospheric precursors?
A critical evaluation of decadal solar cycle imprints in the MiKlip historical ensemble simulations
The teleconnection of extreme El Niño–Southern Oscillation (ENSO) events to the tropical North Atlantic in coupled climate models
Using large ensembles to quantify the impact of sudden stratospheric warmings and their precursors on the North Atlantic Oscillation
The stratosphere: a review of the dynamics and variability
Stratospheric downward wave reflection events modulate North American weather regimes and cold spells
Modulation of the El Niño teleconnection to the North Atlantic by the tropical North Atlantic during boreal spring and summer
Quantifying stratospheric biases and identifying their potential sources in subseasonal forecast systems
Stratospheric modulation of Arctic Oscillation extremes as represented by extended-range ensemble forecasts
The tropical route of quasi-biennial oscillation (QBO) teleconnections in a climate model
Decline in Etesian winds after large volcanic eruptions in the last millennium
Stationary wave biases and their effect on upward troposphere– stratosphere coupling in sub-seasonal prediction models
Stratospheric wave driving events as an alternative to sudden stratospheric warmings
Sudden stratospheric warmings during El Niño and La Niña: sensitivity to atmospheric model biases
Minimal impact of model biases on Northern Hemisphere El Niño–Southern Oscillation teleconnections
Resampling of ENSO teleconnections: accounting for cold-season evolution reduces uncertainty in the North Atlantic
The wave geometry of final stratospheric warming events
Origins of multi-decadal variability in sudden stratospheric warmings
Tropospheric eddy feedback to different stratospheric conditions in idealised baroclinic life cycles
Impacts of the North Atlantic Oscillation on winter precipitations and storm track variability in southeast Canada and the northeast United States
The role of Barents–Kara sea ice loss in projected polar vortex changes
Mechanisms and predictability of sudden stratospheric warming in winter 2018
On the intermittency of orographic gravity wave hotspots and its importance for middle atmosphere dynamics
The role of North Atlantic–European weather regimes in the surface impact of sudden stratospheric warming events
Nonlinearity in the tropospheric pathway of ENSO to the North Atlantic
Michael K. Schutte, Alice Portal, Simon H. Lee, and Gabriele Messori
Weather Clim. Dynam., 6, 521–548, https://doi.org/10.5194/wcd-6-521-2025, https://doi.org/10.5194/wcd-6-521-2025, 2025
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Large-scale motions in the atmosphere, namely atmospheric waves, greatly impact the weather that we experience at the Earth's surface. Here we investigate how waves in the troposphere (the lower 10 km of the atmosphere) and the stratosphere (above the troposphere) interact to affect surface weather. We find that tropospheric waves that are reflected back down by the stratosphere change weather patterns and temperatures in North America. These changes can indirectly affect the weather in Europe.
Ekaterina Vorobeva and Yvan Orsolini
EGUsphere, https://doi.org/10.5194/egusphere-2025-976, https://doi.org/10.5194/egusphere-2025-976, 2025
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The factors behind why some polar stratospheric wind disturbances persist while others remain short are unclear. This study examines the impact of tropospheric high-pressure systems on the duration of three recent polar stratospheric wind disturbances in winter 2023/24. Two were short-lived, lasting under seven days. Findings in this study show that two short disturbances could not develop into long-lasting events due to developing high-pressure systems over the planetary waves troughs.
Ying Dai, Peter Hitchcock, Amy H. Butler, Chaim I. Garfinkel, and William J. M. Seviour
EGUsphere, https://doi.org/10.5194/egusphere-2025-484, https://doi.org/10.5194/egusphere-2025-484, 2025
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Using a new database of S2S forecasts generated by SNAPSI, we find that with a successful forecast of the sudden warming, S2S models can capture the European precipitation signals after the 2018 SSW several weeks in advance. The findings indicate that the stratosphere represents an important source of S2S predictability for precipitation over Europe and call for consideration of stratospheric variability in hydrological prediction at S2S timescales.
Chaim I. Garfinkel, Zachary D. Lawrence, Amy H. Butler, Etienne Dunn-Sigouin, Irene Erner, Alexey Y. Karpechko, Gerbrand Koren, Marta Abalos, Blanca Ayarzagüena, David Barriopedro, Natalia Calvo, Alvaro de la Cámara, Andrew Charlton-Perez, Judah Cohen, Daniela I. V. Domeisen, Javier García-Serrano, Neil P. Hindley, Martin Jucker, Hera Kim, Robert W. Lee, Simon H. Lee, Marisol Osman, Froila M. Palmeiro, Inna Polichtchouk, Jian Rao, Jadwiga H. Richter, Chen Schwartz, Seok-Woo Son, Masakazu Taguchi, Nicholas L. Tyrrell, Corwin J. Wright, and Rachel W.-Y. Wu
Weather Clim. Dynam., 6, 171–195, https://doi.org/10.5194/wcd-6-171-2025, https://doi.org/10.5194/wcd-6-171-2025, 2025
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Variability in the extratropical stratosphere and troposphere is coupled, and because of the longer timescales characteristic of the stratosphere, this allows for a window of opportunity for surface prediction. This paper assesses whether models used for operational prediction capture these coupling processes accurately. We find that most processes are too weak; however downward coupling from the lower stratosphere to the near surface is too strong.
Luciano Gustavo Andrian, Marisol Osman, and Carolina Susana Vera
Weather Clim. Dynam., 5, 1505–1522, https://doi.org/10.5194/wcd-5-1505-2024, https://doi.org/10.5194/wcd-5-1505-2024, 2024
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The interplay between the El Niño–Southern Oscillation (ENSO) and the Indian Ocean Dipole (IOD) is well-researched in the tropical Indian Ocean, but their effects on the Southern Hemisphere's extratropical regions during spring are less studied. We show that the positive phase of the IOD can strengthen the El Niño circulation anomalies, heightening their continental impacts. On the other hand, negative IOD combined with La Niña shows less consistent changes among the different methodologies.
Rémy Bonnet, Christine M. McKenna, and Amanda C. Maycock
Weather Clim. Dynam., 5, 913–926, https://doi.org/10.5194/wcd-5-913-2024, https://doi.org/10.5194/wcd-5-913-2024, 2024
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Climate models underestimate multidecadal winter North Atlantic Oscillation (NAO) variability. Understanding the origin of this weak variability is important for making reliable climate projections. We use multi-model climate simulations to explore statistical relationships with drivers that may contribute to NAO variability. We find a relationship between modelled stratosphere–troposphere coupling and multidecadal NAO variability, offering an avenue to improve the simulation of NAO variability.
Michael Schutte, Daniela I. V. Domeisen, and Jacopo Riboldi
Weather Clim. Dynam., 5, 733–752, https://doi.org/10.5194/wcd-5-733-2024, https://doi.org/10.5194/wcd-5-733-2024, 2024
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The winter circulation in the stratosphere, a layer of the Earth’s atmosphere between 10 and 50 km height, is tightly linked to the circulation in the lower atmosphere determining our daily weather. This interconnection happens in the form of waves propagating in and between these two layers. Here, we use space–time spectral analysis to show that disruptions and enhancements of the stratospheric circulation modify the shape and propagation of waves in both layers.
Hilla Afargan-Gerstman, Dominik Büeler, C. Ole Wulff, Michael Sprenger, and Daniela I. V. Domeisen
Weather Clim. Dynam., 5, 231–249, https://doi.org/10.5194/wcd-5-231-2024, https://doi.org/10.5194/wcd-5-231-2024, 2024
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The stratosphere is a layer of Earth's atmosphere found above the weather systems. Changes in the stratosphere can affect the winds and the storm tracks in the North Atlantic region for a relatively long time, lasting for several weeks and even months. We show that the stratosphere can be important for weather forecasts beyond 1 week, but more work is needed to improve the accuracy of these forecasts for 3–4 weeks.
Raphael Harry Köhler, Ralf Jaiser, and Dörthe Handorf
Weather Clim. Dynam., 4, 1071–1086, https://doi.org/10.5194/wcd-4-1071-2023, https://doi.org/10.5194/wcd-4-1071-2023, 2023
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This study explores the local mechanisms of troposphere–stratosphere coupling on seasonal timescales during extended winter in the Northern Hemisphere. The detected tropospheric precursor regions exhibit very distinct mechanisms of coupling to the stratosphere, thus highlighting the importance of the time- and zonally resolved picture. Moreover, this study demonstrates that the ICOsahedral Non-hydrostatic atmosphere model (ICON) can realistically reproduce troposphere–stratosphere coupling.
Tobias C. Spiegl, Ulrike Langematz, Holger Pohlmann, and Jürgen Kröger
Weather Clim. Dynam., 4, 789–807, https://doi.org/10.5194/wcd-4-789-2023, https://doi.org/10.5194/wcd-4-789-2023, 2023
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We investigate the role of the solar cycle in atmospheric domains with the Max Plank Institute Earth System Model in high resolution (MPI-ESM-HR). We focus on the tropical upper stratosphere, Northern Hemisphere (NH) winter dynamics and potential surface imprints. We found robust solar signals at the tropical stratopause and a weak dynamical response in the NH during winter. However, we cannot confirm the importance of the 11-year solar cycle for decadal variability in the troposphere.
Jake W. Casselman, Joke F. Lübbecke, Tobias Bayr, Wenjuan Huo, Sebastian Wahl, and Daniela I. V. Domeisen
Weather Clim. Dynam., 4, 471–487, https://doi.org/10.5194/wcd-4-471-2023, https://doi.org/10.5194/wcd-4-471-2023, 2023
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El Niño–Southern Oscillation (ENSO) has remote effects on the tropical North Atlantic (TNA), but the connections' nonlinearity (strength of response to an increasing ENSO signal) is not always well represented in models. Using the Community Earth System Model version 1 – Whole Atmosphere Community Climate Mode (CESM-WACCM) and the Flexible Ocean and Climate Infrastructure version 1, we find that the TNA responds linearly to extreme El Niño but nonlinearly to extreme La Niña for CESM-WACCM.
Philip E. Bett, Adam A. Scaife, Steven C. Hardiman, Hazel E. Thornton, Xiaocen Shen, Lin Wang, and Bo Pang
Weather Clim. Dynam., 4, 213–228, https://doi.org/10.5194/wcd-4-213-2023, https://doi.org/10.5194/wcd-4-213-2023, 2023
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Sudden-stratospheric-warming (SSW) events can severely affect the subsequent weather at the surface. We use a large ensemble of climate model hindcasts to investigate features of the climate that make strong impacts more likely through negative NAO conditions. This allows a more robust assessment than using observations alone. Air pressure over the Arctic prior to an SSW and the zonal-mean zonal wind in the lower stratosphere have the strongest relationship with the subsequent NAO response.
Neal Butchart
Weather Clim. Dynam., 3, 1237–1272, https://doi.org/10.5194/wcd-3-1237-2022, https://doi.org/10.5194/wcd-3-1237-2022, 2022
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In recent years, it has emerged that there is an affinity between stratospheric variability and surface events. Waves from the troposphere interacting with the mean flow drive much of the variability in the polar vortex, sudden stratospheric warmings and tropical quasi-biennial oscillation. Here we review the historical evolution of established knowledge of the stratosphere's global structure and dynamical variability, along with recent advances and theories, and identify outstanding challenges.
Gabriele Messori, Marlene Kretschmer, Simon H. Lee, and Vivien Wendt
Weather Clim. Dynam., 3, 1215–1236, https://doi.org/10.5194/wcd-3-1215-2022, https://doi.org/10.5194/wcd-3-1215-2022, 2022
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Over 10 km above the ground, there is a region of the atmosphere called the stratosphere. While there is very little air in the stratosphere itself, its interactions with the lower parts of the atmosphere – where we live – can affect the weather. Here we study a specific example of such an interaction, whereby processes occurring at the boundary of the stratosphere can lead to a continent-wide drop in temperatures in North America during winter.
Jake W. Casselman, Bernat Jiménez-Esteve, and Daniela I. V. Domeisen
Weather Clim. Dynam., 3, 1077–1096, https://doi.org/10.5194/wcd-3-1077-2022, https://doi.org/10.5194/wcd-3-1077-2022, 2022
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Using an atmospheric general circulation model, we analyze how the tropical North Atlantic influences the El Niño–Southern Oscillation connection towards the North Atlantic European region. We also focus on the lesser-known boreal spring and summer response following an El Niño–Southern Oscillation event. Our results show that altered tropical Atlantic sea surface temperatures may cause different responses over the Caribbean region, consequently influencing the North Atlantic European region.
Zachary D. Lawrence, Marta Abalos, Blanca Ayarzagüena, David Barriopedro, Amy H. Butler, Natalia Calvo, Alvaro de la Cámara, Andrew Charlton-Perez, Daniela I. V. Domeisen, Etienne Dunn-Sigouin, Javier García-Serrano, Chaim I. Garfinkel, Neil P. Hindley, Liwei Jia, Martin Jucker, Alexey Y. Karpechko, Hera Kim, Andrea L. Lang, Simon H. Lee, Pu Lin, Marisol Osman, Froila M. Palmeiro, Judith Perlwitz, Inna Polichtchouk, Jadwiga H. Richter, Chen Schwartz, Seok-Woo Son, Irene Erner, Masakazu Taguchi, Nicholas L. Tyrrell, Corwin J. Wright, and Rachel W.-Y. Wu
Weather Clim. Dynam., 3, 977–1001, https://doi.org/10.5194/wcd-3-977-2022, https://doi.org/10.5194/wcd-3-977-2022, 2022
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Forecast models that are used to predict weather often struggle to represent the Earth’s stratosphere. This may impact their ability to predict surface weather weeks in advance, on subseasonal-to-seasonal (S2S) timescales. We use data from many S2S forecast systems to characterize and compare the stratospheric biases present in such forecast models. These models have many similar stratospheric biases, but they tend to be worse in systems with low model tops located within the stratosphere.
Jonas Spaeth and Thomas Birner
Weather Clim. Dynam., 3, 883–903, https://doi.org/10.5194/wcd-3-883-2022, https://doi.org/10.5194/wcd-3-883-2022, 2022
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Past research has demonstrated robust stratosphere–troposphere dynamical coupling following stratospheric circulation extremes. Here, we use a large set of extended-range ensemble forecasts to robustly quantify the increased risk for tropospheric circulation extremes following stratospheric extreme events. In particular, we provide estimates of the fraction of tropospheric extremes that may be attributable to preceding stratospheric extremes.
Jorge L. García-Franco, Lesley J. Gray, Scott Osprey, Robin Chadwick, and Zane Martin
Weather Clim. Dynam., 3, 825–844, https://doi.org/10.5194/wcd-3-825-2022, https://doi.org/10.5194/wcd-3-825-2022, 2022
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This paper establishes robust links between the stratospheric quasi-biennial oscillation (QBO) and several features of tropical climate. Robust precipitation responses, as well as changes to the Walker circulation, were found to be robustly linked to the variability in the lower stratosphere associated with the QBO using a 500-year simulation of a state-of-the-art climate model.
Stergios Misios, Ioannis Logothetis, Mads F. Knudsen, Christoffer Karoff, Vassilis Amiridis, and Kleareti Tourpali
Weather Clim. Dynam., 3, 811–823, https://doi.org/10.5194/wcd-3-811-2022, https://doi.org/10.5194/wcd-3-811-2022, 2022
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We investigate the impact of strong volcanic eruptions on the northerly Etesian winds blowing in the eastern Mediterranean. Μodel simulations of the last millennium demonstrate a robust reduction in the total number of days with Etesian winds in the post-eruption summers. The decline in the Etesian winds is attributed to a weakened Indian summer monsoon in the post-eruption summer. These findings could improve seasonal predictions of the wind circulation in the eastern Mediterranean.
Chen Schwartz, Chaim I. Garfinkel, Priyanka Yadav, Wen Chen, and Daniela I. V. Domeisen
Weather Clim. Dynam., 3, 679–692, https://doi.org/10.5194/wcd-3-679-2022, https://doi.org/10.5194/wcd-3-679-2022, 2022
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Eleven operational forecast models that run on subseasonal timescales (up to 2 months) are examined to assess errors in their simulated large-scale stationary waves in the Northern Hemisphere winter. We found that models with a more finely resolved stratosphere generally do better in simulating the waves in both the stratosphere (10–50 km) and troposphere below. Moreover, a connection exists between errors in simulated time-mean convection in tropical regions and errors in the simulated waves.
Thomas Reichler and Martin Jucker
Weather Clim. Dynam., 3, 659–677, https://doi.org/10.5194/wcd-3-659-2022, https://doi.org/10.5194/wcd-3-659-2022, 2022
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Variations in the stratospheric polar vortex, so-called vortex events, can improve predictions of surface weather and climate. There are various ways to detect such events, and here we use the amount of wave energy that propagates into the stratosphere. The new definition is tested against so-called stratospheric sudden warmings (SSWs). We find that the wave definition has advantages over SSWs, for example in terms of a stronger surface response that follows the events.
Nicholas L. Tyrrell, Juho M. Koskentausta, and Alexey Yu. Karpechko
Weather Clim. Dynam., 3, 45–58, https://doi.org/10.5194/wcd-3-45-2022, https://doi.org/10.5194/wcd-3-45-2022, 2022
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El Niño events are known to effect the variability of the wintertime stratospheric polar vortex. The observed relationship differs from what is seen in climate models. Climate models have errors in their average winds and temperature, and in this work we artificially reduce those errors to see how that changes the communication of El Niño events to the polar stratosphere. We find reducing errors improves stratospheric variability, but does not explain the differences with observations.
Nicholas L. Tyrrell and Alexey Yu. Karpechko
Weather Clim. Dynam., 2, 913–925, https://doi.org/10.5194/wcd-2-913-2021, https://doi.org/10.5194/wcd-2-913-2021, 2021
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Tropical Pacific sea surface temperatures (El Niño) affect the global climate. The Pacific-to-Europe connection relies on interactions of large atmospheric waves with winds and surface pressure. We looked at how mean errors in a climate model affect its ability to simulate the Pacific-to-Europe connection. We found that even large errors in the seasonal winds did not affect the response of the model to an El Niño event, which is good news for seasonal forecasts which rely on these connections.
Martin P. King, Camille Li, and Stefan Sobolowski
Weather Clim. Dynam., 2, 759–776, https://doi.org/10.5194/wcd-2-759-2021, https://doi.org/10.5194/wcd-2-759-2021, 2021
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We re-examine the uncertainty of ENSO teleconnection to the North Atlantic by considering the November–December and January–February months in the cold season, in addition to the conventional DJF months. This is motivated by previous studies reporting varying teleconnected atmospheric anomalies and the mechanisms concerned. Our results indicate an improved confidence in the patterns of the teleconnection. The finding may also have implications on research in predictability and climate impact.
Amy H. Butler and Daniela I. V. Domeisen
Weather Clim. Dynam., 2, 453–474, https://doi.org/10.5194/wcd-2-453-2021, https://doi.org/10.5194/wcd-2-453-2021, 2021
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We classify by wave geometry the stratospheric polar vortex during the final warming that occurs every spring in both hemispheres due to a combination of radiative and dynamical processes. We show that the shape of the vortex, as well as the timing of the seasonal transition, is linked to total column ozone prior to and surface weather following the final warming. These results have implications for prediction and our understanding of stratosphere–troposphere coupling processes in springtime.
Oscar Dimdore-Miles, Lesley Gray, and Scott Osprey
Weather Clim. Dynam., 2, 205–231, https://doi.org/10.5194/wcd-2-205-2021, https://doi.org/10.5194/wcd-2-205-2021, 2021
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Observations of the stratosphere span roughly half a century, preventing analysis of multi-decadal variability in circulation using these data. Instead, we rely on long simulations of climate models. Here, we use a model to examine variations in northern polar stratospheric winds and find they vary with a period of around 90 years. We show that this is possibly due to variations in the size of winds over the Equator. This result may improve understanding of Equator–polar stratospheric coupling.
Philip Rupp and Thomas Birner
Weather Clim. Dynam., 2, 111–128, https://doi.org/10.5194/wcd-2-111-2021, https://doi.org/10.5194/wcd-2-111-2021, 2021
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We use the simple framework of an idealised baroclinic life cycle to study the tropospheric eddy feedback to different stratospheric conditions and, hence, obtain insights into the fundamental processes of stratosphere–troposphere coupling – in particular, the processes involved in creating the robust equatorward shift in the tropospheric mid-latitude jet that has been observed following sudden stratospheric warming events.
Julien Chartrand and Francesco S. R. Pausata
Weather Clim. Dynam., 1, 731–744, https://doi.org/10.5194/wcd-1-731-2020, https://doi.org/10.5194/wcd-1-731-2020, 2020
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This study explores the relationship between the North Atlantic Oscillation and the winter climate of eastern North America using reanalysis data. Results show that negative phases are linked with an increase in frequency of winter storms developing on the east coast of the United States, resulting in much heavier snowfall over the eastern United States. On the contrary, an increase in cyclone activity over southeastern Canada results in slightly heavier precipitation during positive phases.
Marlene Kretschmer, Giuseppe Zappa, and Theodore G. Shepherd
Weather Clim. Dynam., 1, 715–730, https://doi.org/10.5194/wcd-1-715-2020, https://doi.org/10.5194/wcd-1-715-2020, 2020
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The winds in the polar stratosphere affect the weather in the mid-latitudes, making it important to understand potential changes in response to global warming. However, climate model projections disagree on how this so-called polar vortex will change in the future. Here we show that sea ice loss in the Barents and Kara (BK) seas plays a central role in this. The time when the BK seas become ice-free differs between models, which explains some of the disagreement regarding vortex projections.
Irene Erner, Alexey Y. Karpechko, and Heikki J. Järvinen
Weather Clim. Dynam., 1, 657–674, https://doi.org/10.5194/wcd-1-657-2020, https://doi.org/10.5194/wcd-1-657-2020, 2020
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In this paper we investigate the role of the tropospheric forcing in the occurrence of the sudden stratospheric warming (SSW) that took place in February 2018, its predictability and teleconnection with the Madden–Julian oscillation (MJO) by analysing the European Centre for Medium-Range Weather Forecasts (ECMWF) ensemble forecast. The purpose of the paper is to present the results of the analysis of the atmospheric circulation before and during the SSW and clarify the driving mechanisms.
Ales Kuchar, Petr Sacha, Roland Eichinger, Christoph Jacobi, Petr Pisoft, and Harald E. Rieder
Weather Clim. Dynam., 1, 481–495, https://doi.org/10.5194/wcd-1-481-2020, https://doi.org/10.5194/wcd-1-481-2020, 2020
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Our study focuses on the impact of topographic structures such as the Himalayas and Rocky Mountains, so-called orographic gravity-wave hotspots. These hotspots play an important role in the dynamics of the middle atmosphere, in particular in the lower stratosphere. We study intermittency and zonally asymmetric character of these hotspots and their effects on the upper stratosphere and mesosphere using a new detection method in various modeling and observational datasets.
Daniela I. V. Domeisen, Christian M. Grams, and Lukas Papritz
Weather Clim. Dynam., 1, 373–388, https://doi.org/10.5194/wcd-1-373-2020, https://doi.org/10.5194/wcd-1-373-2020, 2020
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We cannot currently predict the weather over Europe beyond 2 weeks. The stratosphere provides a promising opportunity to go beyond that limit by providing a change in probability of certain weather regimes at the surface. However, not all stratospheric extreme events are followed by the same surface weather evolution. We show that this weather evolution is related to the tropospheric weather regime around the onset of the stratospheric extreme event for many stratospheric events.
Bernat Jiménez-Esteve and Daniela I. V. Domeisen
Weather Clim. Dynam., 1, 225–245, https://doi.org/10.5194/wcd-1-225-2020, https://doi.org/10.5194/wcd-1-225-2020, 2020
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Atmospheric predictability over Europe on subseasonal to seasonal timescales remains limited. However, the remote impact from the El Niño–Southern Oscillation (ENSO) can help to improve predictability. Research has suggested that the ENSO impact in the North Atlantic region is affected by nonlinearities. Here, we isolate the nonlinearities in the tropospheric pathway through the North Pacific, finding that a strong El Niño leads to a stronger and distinct impact compared to a strong La Niña.
Cited articles
Abram, N. J., Wright, N. M., Ellis, B., Dixon, B. C., Wurtzel, J. B.,
England, M. H., Ummenhofer, C. C., Philibosian, B., Cahyarini, S. Y., Yu,
T.-L., Shen, C.-C., Cheng, H., Edwards, R. L., and Heslop, D.: Coupling of
Indo-Pacific climate variability over the last millennium, Nature, 579,
385–392, https://doi.org/10.1038/s41586-020-2084-4, 2020.
Abram, N. J., Henley, B. J., Sen Gupta, A., Lippmann, T. J. R., Clarke, H.,
Dowdy, A. J., Sharples, J. J., Nolan, R. H., Zhang, T., Wooster, M. J.,
Wurtzel, J. B., Meissner, K. J., Pitman, A. J., Ukkola, A. M., Murphy, B.
P., Tapper, N. J., and Boer, M. M.: Connections of climate change and
variability to large and extreme forest fires in southeast Australia, Commun. Earth Environ., 2, 8, https://doi.org/10.1038/s43247-020-00065-8, 2021.
Ambrizzi, T., Hoskins, B. J., and Hsu, H.-H.: Rossby wave propagation and
teleconnection patterns in austral winter, J. Atmos. Sci., 52, 3661–3672,
https://doi.org/10.1175/1520-0469(1995)052<3661:RWPATP>2.0.CO;2, 1995.
Arblaster, J., Lim, E.-P., Hendon, H., Trewin, B., Wheeler, M., Liu, G., and
Braganza, K.: UNDERSTANDING AUSTRALIA'S HOTTEST SEPTEMBER ON RECORD, B. Am. Meteorol. Soc., 95, S37–S41, 2014.
Bals-Elsholz, T. M., Atallah, E. H., Bosart, L. F., Wasula, T. A., Cempa, M.
J., and Lupo, A. R.: The Wintertime Southern Hemisphere Split Jet: Structure,
Variability, and Evolution, J. Climate, 14, 4191–4215, 2001.
Barnes, E. A. and Hartmann, D. L.: Detection of Rossby wave breaking and its
response to shifts of the midlatitude jet with climate change: WAVE BREAKING
AND CLIMATE CHANGE, J. Geophys. Res.-Atmos., 117, D09117, https://doi.org/10.1029/2012JD017469,
2012.
Boschat, G., Pezza, A., Simmonds, I., Perkins, S., Cowan, T., and Purich, A.:
Large scale and sub-regional connections in the lead up to summer heat wave
and extreme rainfall events in eastern Australia, Clim. Dynam., 44, 1823–1840,
https://doi.org/10.1007/s00382-014-2214-5, 2015.
Cai, W., van Rensch, P., Cowan T., and Hendon H. H.: Teleconnection Pathways
of ENSO and the IOD and the Mechanisms for Impacts on Australian Rainfall, J. Climate, 24, 3910–3923, https://doi.org/10.1175/2011JCLI4129.1,
2011.
Cai, W., Santoso, A., Wang, G., Weller, E., Wu, L., Ashok, K., Masumoto, Y.,
and Yamagata, T.: Increased frequency of extreme Indian Ocean Dipole
events due to greenhouse warming, Nature, 510, 254–258,
https://doi.org/10.1038/nature13327, 2014.
Ceppi, P., and Hartmann, D. L.: On the Speed of the Eddy-Driven Jet and the
Width of the Hadley Cell in the Southern Hemisphere, J. Climate, 26, 3450–3465,
https://doi.org/10.1175/JCLI-D-12-00414.1, 2013.
Collins, M., Knutti, R., Arblaster, J., Dufresne, J.-L., Fichefet, T.,
Friedlingstein, P., Gao, X., Gutowski, W. J., Johns, T., Krinner, G.,
Shongwe, M., Tebaldi, C., Weaver, A. J., Wehner, M. F., Allen, M. R.,
Andrews, T., Beyerle, U., Bitz, C. M., Bony, S., and Booth, B. B. B.:
Long-term Climate Change: Projections, Commitments and Irreversibility, Climate Change 2013 – The Physical Science Basis: Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, 1029–1136, 2013.
Cullen, B. R., Johnson, I. R., Eckard, R. J., Lodge, G. M., Walker, R. G.,
Rawnsley, R. P., and McCaskill, M. R.: Climate change effects on pasture
systems in south-eastern Australia, Crop Pasture Sci., 60, 933,
https://doi.org/10.1071/CP09019, 2009.
Dee, D. P., Uppala, S. M., Simmons, A. J., Berrisford, P., Poli, P.,
Kobayashi, S., Andrae, U., Balmaseda, M. A., Balsamo, G., Bauer, P.,
Bechtold, P., Beljaars, A. C. M., van de Berg, L., Bidlot, J., Bormann, N.,
Delsol, C., Dragani, R., Fuentes, M., Geer, A. J., and Vitart, F.:
The ERA-Interim reanalysis: Configuration and performance of the data
assimilation system, Q. J. Roy. Meteorol. Soc., 137, 553–597, https://doi.org/10.1002/qj.828, 2011.
Dowdy, A. J.: Climatological Variability of Fire Weather in Australia, J. Appl. Meteorol. Climatol., 57, 221–234, https://doi.org/10.1175/JAMC-D-17-0167.1, 2018.
ECMWF: ERA5, ECMWF [data set], https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era5, last access: 14 January 2022.
Fischer, E. M., Seneviratne, S. I., Lüthi, D., and Schär, C.:
Contribution of land-atmosphere coupling to recent European summer heat
waves, Geophys. Res. Lett., 34, L06707, https://doi.org/10.1029/2006GL029068, 2007.
Fogt, R. L. and Marshall, G. J.: The Southern Annular Mode: Variability,
trends, and climate impacts across the Southern Hemisphere, WIREs Climate Change, 11, e652,
https://doi.org/10.1002/wcc.652, 2020.
Gallant, A. J. E. and Lewis, S. C.: Stochastic and anthropogenic
influences on repeated record-breaking temperature extremes in Australian
spring of 2013 and 2014: CAUSES OF REPEATED TEMPERATURE RECORDS, Geophys. Res. Lett., 43, 2182–2191, https://doi.org/10.1002/2016GL067740, 2016.
Gibson, P. B., Pitman, A. J., Lorenz, R., and Perkins-Kirkpatrick, S. E.: The
Role of Circulation and Land Surface Conditions in Current and Future
Australian Heat Waves, J. Climate, 30, 9933–9948,
https://doi.org/10.1175/JCLI-D-17-0265.1, 2017.
Gillett, Z. E., Hendon, H. H., Arblaster, J. M., and Lim, E.-P.: Tropical and
Extratropical Influences on the Variability of the Southern Hemisphere
Wintertime Subtropical Jet, J. Climate, 34, 4009–4022,
https://doi.org/10.1175/JCLI-D-20-0460.1, 2021.
Gong, D. and Wang, S.: Definition of Antarctic Oscillation index, Geophys. Res. Lett., 26, 459–462, https://doi.org/10.1029/1999GL900003, 1999.
Harris, S., and Lucas, C.: Understanding the variability of Australian fire
weather between 1973 and 2017, PLoS ONE, 14, e0222328, https://doi.org/10.1371/journal.pone.0222328, 2019.
Hauser, S., Grams, C. M., Reeder, M. J., McGregor, S., Fink, A. H., and
Quinting, J. F.: A weather system perspective on winter–spring rainfall
variability in southeastern Australia during El Niño, Q. J. Roy. Meteorol. Soc., 146, 2614–2633,
https://doi.org/10.1002/qj.3808, 2020.
Hendon, H. H., Thompson, D. W. J., and Wheeler, M. C.: Australian Rainfall
and Surface Temperature Variations Associated with the Southern Hemisphere
Annular Mode, J. Climate, 20, 2452–2467, https://doi.org/10.1175/JCLI4134.1, 2007.
Hendon, H. H., Lim, E.-P., and Nguyen, H.: Seasonal Variations of Subtropical
Precipitation Associated with the Southern Annular Mode, J. Climate, 27, 3446–3460,
https://doi.org/10.1175/JCLI-D-13-00550.1, 2014.
Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A.,
Muñoz-Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D.,
Simmons, A., Soci, C., Abdalla, S., Abellan, X., Balsamo, G., Bechtold, P.,
Biavati, G., Bidlot, J., Bonavita, M., and Thépaut, J.: The
ERA5 global reanalysis, Q. J. Roy. Meteorol. Soc., 146, 1999–2049,
https://doi.org/10.1002/qj.3803, 2020.
Hirsch, A. L. and King, M. J.: Atmospheric and Land Surface Contributions
to Heatwaves: An Australian Perspective, J. Geophys. Res.-Atmos., 125,
https://doi.org/10.1029/2020JD033223, 2020.
Hirsch, A. L., Evans, J. P., Di Virgilio, G., Perkins-Kirkpatrick, S. E.,
Argüeso, D., Pitman, A. J., Carouge, C. C., Kala, J., Andrys, J.,
Petrelli, P., and Rockel, B.: Amplification of Australian Heatwaves via
Local Land-Atmosphere Coupling, J. Geophys. Res.-Atmos., 124, 13625–13647,
https://doi.org/10.1029/2019JD030665, 2019.
Hope, P. and Watterson, I.: Persistence of cool conditions after heavy rain
in Australia, J. Southern Hemisphere Earth Syst. Sci., 68, 41–64, https://doi.org/10.22499/3.6801.004, 2018.
Hope, P., Lim, E.-P., Wang, G., Hendon, H. H., and Arblaster, J. M.:
Contributors to the Record High Temperatures Across Australia in Late Spring
2014, B. Am. Meteorol. Soc., 96, S149–S153, 2015.
Hope, P., Wang, G., Lim, E.-P., Hendon, H. H., and Arblaster, J. M.: WHAT
CAUSED
THE RECORD-BREAKING HEAT ACROSS AUSTRALIA IN OCTOBER 2015?, in: Explaining
Extreme Events of 2015 from a Climate Perspective, B. Am. Meteorol. Soc., 96,
S1–S172, https://doi.org/10.1175/BAMS-D-15-00157.1, 2016.
Hoskins, B. J. and Karoly, D. J.: The Steady Linear Response of a Spherical
Atmosphere
to Thermal and Orographic Forcing, J. Atmos. Sci., 38, 1179–1196,
https://doi.org/10.1175/1520-0469(1981)038<1179:TSLROA>2.0.CO;2, 1981.
Hoskins, B. J. and Ambrizzi, T.: Rossby wave propagation on a realistic
longitudinally varying flow, J. Atmos. Sci., 50, 1661–1671, 1993.
Huang, B., Peter, W., Thorne, P. W., Banzon, V. F., Boyer, T., Chepurin, G., Lawrimore, J. H., Menne, M. J., Smith, T. M., Vose, R. S., and Zhang, H.: Extended Reconstructed Sea Surface
Temperature version 5 (ERSSTv5), Upgrades, validations, and
intercomparisons, J. Climate, 30, 8179–8205, https://doi.org/10.1175/JCLI-D-16-0836.1, 2017.
Hurrell, J., Meehl, G. A., Bader, D., Delworth, T. L., Kirtman, B., and
Wielicki, B.: A Unified Modeling Approach to Climate System Prediction, B. Am. Meteorol. Soc., 90, 1819–1832, https://doi.org/10.1175/2009BAMS2752.1, 2009.
Japan Meteorological Agency/Japan, JRA-55: Japanese 55-year Reanalysis,
Daily 3-Hourly and 6-Hourly Data, Research
Data Archive at the National Center for Atmospheric Research, Computational
and Information Systems Laboratory, Boulder, Colo., (Updated monthly), https://doi.org/10.5065/D6HH6H41, 2013.
Jarvis, C., Darbyshire, R., Goodwin, I., Barlow, E. W. R., and Eckard, R.:
Advancement of winegrape maturity continuing for winegrowing regions in
Australia with variable evidence of compression of the harvest period:
Advancement of winegrape maturity, Aust. J. Grape Wine Res., 25, 101–108,
https://doi.org/10.1111/ajgw.12373, 2019.
Jones, D. and Trewin, B. C.: On the relationships between the El
Niño-Southern Oscillation and Australian land surface temperature, Int. J. Climatol.,
23, 697–719, 2000.
Jones, D., Wang, W., and Fawcett, R.: High-quality spatial climate data-sets
for Australia, Aust. Meteorol. Oceanogr. J., 58, 233–248, https://doi.org/10.22499/2.5804.003, 2009.
Koch, P., Wernli, H., and Davies, H. C.: An event-based jet-stream
climatology and typology, Int. J. Climatol., 26, 283–301, https://doi.org/10.1002/joc.1255,
2006.
L'Heureux, M. L. and Thompson, D. W. J.: Observed Relationships between the
El Niño–Southern Oscillation and the Extratropical Zonal-Mean
Circulation, J. Climate, 19, 276–287, https://doi.org/10.1175/JCLI3617.1, 2006.
Li, X., Holland, D. M., Gerber, E. P., and Yoo, C.: Impacts of the north and tropical Atlantic Ocean on the Antarctic Peninsula and sea ice, Nature 505, 538–542, https://doi.org/10.1038/nature12945, 2014.
Li, X., Gerber, E. P., Holland, D. M., and Yoo, C.: A Rossby Wave Bridge from
the Tropical Atlantic to West Antarctica, J. Climate, 28, 2256–2273,
https://doi.org/10.1175/JCLI-D-14-00450.1, 2015a.
Li, X., Holland, D. M., Gerber, E. P., and Yoo, C.: Rossby Waves Mediate
Impacts of Tropical Oceans on West Antarctic Atmospheric Circulation in
Austral Winter, J. Climate, 28, 8151–8164,
https://doi.org/10.1175/JCLI-D-15-0113.1, 2015b.
Lim, E. P., Hendon, H. H., Arblaster, J. M., Chung, C., Moise, A. F., Hope,
P., Young, G., and Zhao, M.: Interaction of the recent 50 year SST trend and
La Niña 2010: amplification of the Southern Annular Mode and Australian
springtime rainfall, Clim. Dynam., 47, 2273–2291,
https://doi.org/10.1007/s00382-015-2963-9, 2016.
Lim, E.-P., Hendon, H., Hope, P., Chung, C., Delage, F., and McPhaden, M. J.:
Continuation of tropical Pacific Ocean temperature trend may weaken extreme
El Niño and its linkage to the Southern Annular Mode, Sci. Rep., 15, 17044,
https://doi.org/10.1038/s41598-019-53371-3, 2019a.
Lim, E.-P., Hendon, H. H., Boschat, G., Hudson, D., Thompson, D. W. J.,
Dowdy, A. J., and Arblaster, J. M.: Australian hot and dry extremes induced
by weakenings of the stratospheric polar vortex, Nat. Geosci., 12, 896–901, https://doi.org/10.1038/s41561-019-0456-x, 2019b.
Lim, E.-P., Hendon, H. H., Butler, A. H., Thompson, D. W. J., Lawrence, Z.
D., Scaife, A. A., Shepherd, T. G., Polichtchouk, I., Nakamura, H.,
Kobayashi, C., Comer, R., Coy, L., Dowdy, A., Garreaud, R. D., Newman, P.
A., and Wang, G.: The 2019 Southern Hemisphere Stratospheric Polar Vortex
Weakening and Its Impacts, B. Am. Meteorol. Soc., 102, E1150–E1171,
https://doi.org/10.1175/BAMS-D-20-0112.1, 2021a.
Lim, E.-P., Hudson, D., Wheeler, M. C., Marshall, A. G., King, A., Zhu, H.,
Hendon, H. H., de Burgh-Day, C., Trewin, B., Griffiths, M., Ramchurn, A.,
and Young, G.: Why Australia was not wet during spring 2020 despite La
Niña, Sci. Rep., 11, 18423, https://doi.org/10.1038/s41598-021-97690-w, 2021b.
Liu, Z. and Alexander, M.: Atmospheric bridge, oceanic tunnel, and global
climatic teleconnections, Rev. Geophys., 45, RG2005,
https://doi.org/10.1029/2005RG000172, 2007.
Loughran, T. F., Pitman, A. J., and Perkins-Kirkpatrick, S. E.: The El Niño-Southern Oscillation’s effect on summer heatwave development mechanisms in Australia, Clim. Dynam., 52, 6279–6300, https://doi.org/10.1007/s00382-018-4511-x, 2019.
Marshall, A., Hudson, D., Wheeler, M., Alves, O., Hendon, H., Pook, M., and
Risbey, J.: Intra-seasonal drivers of extreme heat over Australia in
observations and POAMA-2, Clim. Dynam., 43, 1915–1937,
https://doi.org/10.1007/s00382-013-2016-1, 2014.
Marshall, A. G., Hudson, D., Wheeler, M. C., Hendon, H. H., and Alves, O.:
Simulation and prediction of the Southern Annular Mode and its influence on
Australian intra-seasonal climate in POAMA, Clim. Dynam., 38,
2483–2502, https://doi.org/10.1007/s00382-011-1140-z, 2012.
Marshall, A. G., Gregory, P. A., de Burgh-Day, C. O., and Griffiths, M.: Subseasonal drivers
of extreme fire weather in Australia and its prediction in ACCESS-S1 during
spring and summer, Clim. Dynam., 58, 523–553,
https://doi.org/10.1007/s00382-021-05920-8, 2022.
McIntosh, P. C. and Hendon, H. H.: Understanding Rossby wave trains forced
by the Indian Ocean Dipole, Clim. Dynam., 50, 2783–2798,
https://doi.org/10.1007/s00382-017-3771-1, 2018.
McKay, R. C., Arblaster, J. M., Hope, P., and Lim, E.-P.: Exploring
atmospheric circulation leading to three anomalous Australian spring heat
events, Clim. Dynam., 56, 2181–2198, https://doi.org/10.1007/s00382-020-05580-0,
2021.
Meehl, G. A., Richter, J. H., Teng, H., Capotondi, A., Cobb, K.,
Doblas-Reyes, F., Donat, M. G., England, M. H., Fyfe, J. C., Han, W., Kim,
H., Kirtman, B. P., Kushnir, Y., Lovenduski, N. S., Mann, M. E., Merryfield,
W. J., Nieves, V., Pegion, K., Rosenbloom, N., and Xie, S.-P.:
Initialized Earth System prediction from subseasonal to decadal timescales, Nat. Rev. Earth Environ., 2, 340–357, https://doi.org/10.1038/s43017-021-00155-x, 2021.
Meyers, G., McIntosh, P., Pigot, L., and Pook, M.: The Years of El Niño,
La Niña, and Interactions with the Tropical Indian Ocean, J. Climate, 20,
2872–2880, https://doi.org/10.1175/JCLI4152.1, 2007.
Min, S.-K., Cai, W., and Whetton, P.: Influence of climate variability on
seasonal extremes over Australia: SEASONAL EXTREMES OVER AUSTRALIA, J. Geophys. Res.-Atmos.,
118, 643–654, https://doi.org/10.1002/jgrd.50164, 2013.
Nairn, J. and Fawcett, R.: The Excess Heat Factor: A Metric for Heatwave
Intensity and Its Use in Classifying Heatwave Severity, Int. J. Environ. Res. Pub. Health, 12, 227–253,
https://doi.org/10.3390/ijerph120100227, 2014.
Nicholls, N.: Sea surface temperature and Australian winter rainfall, J.
Climate, 2, 965–973, 1989.
NOAA: Extended Reconstructed SST, NOAA [data set], https://www.ncei.noaa.gov/products/extended-reconstructed-sst, last access: 6 July 2020.
Pepler, A., Timbal, B., Rakich, C., and Coutts-Smith, A.: Indian Ocean Dipole
Overrides ENSO's Influence on Cool Season Rainfall across the Eastern
Seaboard of Australia, J. Climate, 27, 3816–3826,
https://doi.org/10.1175/JCLI-D-13-00554.1, 2014.
Pfahl, S., Schwierz, C., Croci-Maspoli, M., Grams, C. M., and Wernli, H.:
Importance of latent heat release in ascending air streams for atmospheric
blocking, Nat. Geosci., 8, 610–614, https://doi.org/10.1038/ngeo2487, 2015.
Power, S., Tseitkin, F., Torok, S., Lavery, B., Dahni, R., and McAvaney, B.:
Australian temperature, Australian rainfall and the Southern Oscillation,
1910–1992: coherent variability and recent changes, Aust.
Meteorol. Magazine, 47, 85–101, 1998.
Quinting, J. F. and Reeder, M. J.: Southeastern Australian Heat
Waves from a Trajectory Viewpoint, Mon. Weather Rev., 145, 4109–4125,
https://doi.org/10.1175/MWR-D-17-0165.1, 2017.
Risbey, J. S., Pook, M. J., McIntosh, P. C., Wheeler, M. C., and Hendon, H.
H.: On the Remote Drivers of Rainfall Variability in Australia, Mon. Weather Rev., 137,
3233–3253, https://doi.org/10.1175/2009MWR2861.1, 2009a.
Risbey, J. S., Pook, M. J., McIntosh, P. C., Ummenhofer, C. C., and Meyers,
G.: Characteristics and variability of synoptic features associated with cool
season rainfall in southeastern Australia, Int. J. Climatol., 29, 1595–1613,
https://doi.org/10.1002/joc.1775, 2009b.
Saji, N. H., Goswami, B. N., Vinayachandran, P. N., and Yamagata, T.: A
dipole mode in the tropical Indian Ocean, Nature, 401, 360–363,
https://doi.org/10.1038/43854, 1999.
Saji, N. H., Ambrizzi, T., and Ferraz, S. E. T.: Indian Ocean Dipole mode
events and austral surface air temperature anomalies, Dynam. Atmos. Oceans, 39, 87–101,
https://doi.org/10.1016/j.dynatmoce.2004.10.015, 2005.
Seneviratne, S. I., Corti, T., Davin, E. L., Hirschi, M., Jaeger, E. B.,
Lehner, I., Orlowsky, B., and Teuling, A. J.: Investigating soil
moisture–climate interactions in a changing climate: A review, Earth-Sci. Rev., 99, 125–161, https://doi.org/10.1016/j.earscirev.2010.02.004, 2010.
Simpkins, G. R., McGregor, S., Taschetto, A. S., Ciasto, L. M., and England,
M. H.: Tropical Connections to Climatic Change in the Extratropical Southern
Hemisphere: The Role of Atlantic SST Trends, J. Climate, 27, 4923–4936,
https://doi.org/10.1175/JCLI-D-13-00615.1, 2014.
Simmonds, I. and Hope, P.: Seasonal and regional responses to changes in Australian soil moisture conditions, Int. J. Climatol., 18, 1105–1139, https://doi.org/10.1002/(SICI)1097-0088(199808)18:10<1105::AID-JOC308>3.0.CO;2-G, 1998.
Student: The probable error of a mean, Biometrika, 6, 1–25, 1908.
Suarez-Gutierrez, L., Müller, W. A., Li, C., and Marotzke, J.: Dynamical
and thermodynamical drivers of variability in European summer heat extremes, Clim. Dynam., 54, 4351–4366, https://doi.org/10.1007/s00382-020-05233-2, 2020.
Takaya, K. and Nakamura, H.: 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, 2001.
Taylor, C., Cullen, B., D'Occhio, M., Rickards, L., and Eckard, R.: Trends in
wheat yields under representative climate futures: Implications for climate
adaptation, Agr. Syst., 164, 1–10, https://doi.org/10.1016/j.agsy.2017.12.007, 2018.
Timbal, B. and Hendon, H.: The role of tropical modes of variability
in recent rainfall deficits across the Murray-Darling Basin: TROPICAL
VARIABILITY AND RAINFALL DEFICIT IN THE MDB, Water Resour. Res., 47, W00G09,
https://doi.org/10.1029/2010WR009834, 2011.
Timbal, B., Power, S., Colman, R., Viviand, J., and Lirola, S.: Does
Soil Moisture Influence Climate Variability and Predictability over
Australia?, J. Climate, 15, 1230–1238,
https://doi.org/10.1175/1520-0442(2002)015<1230:dsmicv>2.0.co;2, 2002.
Ummenhofer, C. C., England, M. H., McIntosh, P. C., Meyers, G. A., Pook, M.
J., Risbey, J. S., Gupta, A. S., and Taschetto, A. S.: What causes southeast
Australia's worst droughts?, Geophys. Res. Lett., 36, L04706,
https://doi.org/10.1029/2008GL036801, 2009.
van Rensch, P., Arblaster, J., Gallant, A. J. E., Cai, W., Nicholls, N., and
Durack, P. J.: Mechanisms causing east Australian spring rainfall differences
between three strong El Niño events, Clim. Dynam., 53, 3641–3659,
https://doi.org/10.1007/s00382-019-04732-1, 2019.
Wang, G. and Hendon, H. H.: Impacts of the Madden – Julian Oscillation on
wintertime Australian minimum temperatures and Southern Hemisphere
circulation, Clim. Dynam., 55, 3087–3099,
https://doi.org/10.1007/s00382-020-05432-x, 2020.
Wang, G., Hendon, H. H., Arblaster, J. M., Lim, E.-P., Abhik, S., and van
Rensch, P.: Compounding tropical and stratospheric forcing of the record low
Antarctic sea-ice in 2016, Nat. Commun., 10, 1–9,
https://doi.org/10.1038/s41467-018-07689-7, 2019.
Watterson, I. G.: Relationships between southeastern Australian rainfall and
sea surface temperatures examined using a climate model, J. Geophys. Res., 115, D10108,
https://doi.org/10.1029/2009JD012120, 2010.
Watterson, I. G.: Australian Rainfall Anomalies in 2018–2019 Linked to
Indo-Pacific Driver Indices Using ERA5 Reanalyses, J. Geophys. Res.-Atmos., 125, e2020JD033041,
https://doi.org/10.1029/2020JD033041, 2020.
Wheeler, M. C. and Hendon, H. H.: An all-season real-time multivariate MJO
index:
Development of an index for monitoring and prediction, Mon. Weather
Rev., 132, 1917–1932, 2004.
Wheeler, M. C., Hendon, H. H., Cleland, S., Meinke, H., and Donald, A.:
Impacts of the Madden–Julian Oscillation on Australian Rainfall and
Circulation, J. Climate, 22, 1482–1498, https://doi.org/10.1175/2008JCLI2595.1, 2009.
White, C. J., Hudson, D., and Alves, O.: ENSO, the IOD and the intraseasonal
prediction of heat extremes across Australia using POAMA-2, Clim. Dynam., 43,
1791–1810, https://doi.org/10.1007/s00382-013-2007-2, 2014.
Wilson, E. A., Gordon, A. L., and Kim, D.: Observations of the Madden Julian
Oscillation during Indian Ocean Dipole events: IOD-MJO, J. Geophys. Res.-Atmos., 118, 2588–2599,
https://doi.org/10.1002/jgrd.50241, 2013.
Wirth, V.: Waveguidability of idealized midlatitude jets and the limitations of ray tracing theory, Weather Clim. Dynam., 1, 111–125, https://doi.org/10.5194/wcd-1-111-2020, 2020.
Short summary
Understanding what makes it hot in Australia in spring helps us better prepare for harmful impacts. We look at how the higher latitudes and tropics change the atmospheric circulation from early to late spring and how that changes maximum temperatures in Australia. We find that the relationship between maximum temperatures and the tropics is stronger in late spring than early spring. These findings could help improve forecasts of hot months in Australia in spring.
Understanding what makes it hot in Australia in spring helps us better prepare for harmful...
