Understanding present and future dynamics of ENSO and the IOD
Project leaders: Drs Agus Santoso (CSIRO and UNSW) and Guojian Wang (CSIRO)
Staff: Dr Benjamin Ng
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Agus Santoso: The project I will be leading will be investigating the role of Southern Hemisphere oceans in the dynamics of El Nino and Indian Ocean Dipole.
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Southern Ocean is a big question mark, so by understanding the role of southern oceans, then we will be able to improve things like prediction of El Nino Southern Oscillation and of course eventually it will benefit many people.
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This work is important because tropical climate variability like El Nino and Indian Ocean Dipole impact on climate around the world such as countries like Australia.
[Image changes to show Ming Feng and Larry Marshall clapping as a plaque is unveiled and then shaking hands and then the image changes to show Agus talking to the camera]
CSHOR will benefit people in how we can manage resources and how we can manage doing flood management better in terms of anticipating all these impactful climate events in present day and in the future.
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The El Niño Southern Oscillation (ENSO) and the Indian Ocean Dipole (IOD) affect millions of human lives in the tropical belt and beyond. The likelihood of extreme weather events such as drought, heatwaves, floods, and cyclones is elevated during such events, particularly extreme ENSO and extreme positive IOD. Understanding their dynamics is of utmost importance as to enhance our capacity to predict their occurrences, especially their trends in a climate that is undergoing change.
Present outstanding issues on this topics are many, and these include: generation mechanism of ENSO diversity (mechanism of extreme El Niño and weak El Niño) and the associated diversity in ENSO teleconnections; uncertainty in projected change in future ENSO and the IOD; and the role of the Southern Hemisphere oceans, in the ENSO and the IOD life cycle.
The objectives of the project are to:
- understand how ENSO and IOD events are generated, in particular, how they attain extreme amplitude, how they interact with each other and with the Southern Hemisphere oceans
- examine the causes for decadal modulation of ENSO and IOD characteristics, and the potential role of Southern Hemisphere oceans
- project changes in ENSO and the IOD under greenhouse warming, as well as their interactions and teleconnection, and assess uncertainty in the projected change.
Weakening Atlantic Niño–Pacific connection under greenhouse warming
As greenhouse warming continues, Pacific ENSO is projected to be less affected by the Atlantic Niño/Niña and more challenging to predict. A paper, co-authored by CSHOR researchers, recently published online in Science Advances, shows that greenhouse warming leads to a weakened influence from the Atlantic Niño/Niña on the Pacific ENSO. In response to anomalous equatorial Atlantic heating, ascending over the equatorial Atlantic is weaker due to an increased tropospheric stability in the mean climate, resulting in a weaker impact on the Pacific Ocean. Read the full article by Fan Jia, Wenju Cai and Lixin Wu et al. at this link. Wenju Cai comments on these findings in a ScienceNews article by Maria Temming.
CSHOR Science Seminar Project Presentation (PDF) 2019
‘Monster’ El Nino a chance later this year, pointing to extended dry times – Age Newspaper article 16 March 2019
CSHOR scientists, Wenju Cai and Agus Santoso, are quoted in an Age Newspaper article highlighting the increased probability of a large El Niño by the end of this year. The article by Peter Hannam discusses the findings from an international climate science conference held earlier this month in Chile. The prospect is developing on the back of recent findings by CSHOR team for possible increase in extreme El Nino occurrences under greenhouse warming. Read the full article by Cai et al. at the following link.
Pantropical climate interactions
In a Science paper published recently Cai et al. review what we know about the pantropical interactions, discuss possible ways of improving predictions of current climate variability, and consider how projecting future climate under different anthropogenic forcing scenarios may be improved.
CSHOR ENSO Science Symposium 29 to 31 January 2019
CSHOR gathered ENSO experts and students in Hobart over a 3-day symposium to address important scientific questions regarding the reliability of current modelling and observational tools and what advances are required to improve projections of ENSO in a changing climate.
The field of ENSO research is rapidly progressing and it is necessary to re-assess the state of ENSO science. ENSO significantly impacts our climate, ecosystems, economy and society on a global scale. An improved understanding of its dynamics, evolution, predictability, teleconnection and impact in a climate that is undergoing change is critical to manage risks and resources. The character of ENSO and the frequency of extreme events may change on a warming planet. Just a couple of years ago an extreme El Niño with major global climatic consequences occurred and one may wonder when the next big one will arrive.
The Symposium was followed by a 2-day writing session for ENSO book authors on 1-2 February at CSIRO Marine Laboratories.
Increased variability of eastern Pacific El Niño under greenhouse warming
The El Niño–Southern Oscillation (ENSO) is the dominant and most consequential climate variation on the planet.
Answering the question of how ENSO may change under greenhouse warming has been plagued for decades by a persistent lack of inter-model agreement on the response of the associated sea surface temperature variability.
This paper by Cai et al. shows for the first time strong inter-model consensus over sea surface temperature variability of a type of El Niño, eastern Pacific El Niño that is strong in both strength and impact, despite differences in the details of the simulated El Niño across models.
The result means that we can expect more occurrences of extreme weather associated with eastern Pacific El Niño events (the strongest and most destructive of the two types of El Niño events), which will have pronounced implications for the twenty-first century climate, extreme weather and ecosystems.
Understanding El Niño-Southern Oscillation Complexity
El Niño events are characterized by tropical Pacific surface warming and weakening of trade winds occurring every few years. Such conditions are accompanied by changes in atmospheric and oceanic circulation, affecting global climate, marine and terrestrial ecosystems, fisheries and human activities. The alternation of warm El Niño and cold La Niña conditions, referred to as the El Niño-Southern Oscillation (ENSO), represents the strongest year-to-year fluctuation of the global climate system. A Nature review paper published recenlty (Timmermann et al. 2018) provides a synthesis of the current understanding of the spatio-temporal complexity (In terms of amplitude, timing, duration, predictability and global impacts) of this important climate mode and its influence on the earth system. The paper proposes a unifying framework to explain ENSO spatio-temporal complexity, by considering the two most dominant coupled modes of variability on about two-year and four-year time scales. Read the full article at the following link. The CSIRO blog highlighting six reasons you should care about El Niño is also recommended reading.
CSHOR Science Seminar Project Presentation 2018
Recent progress in climate change research
In a paper published in Nature Communication (Cai et al. 2018a) we show that the extreme pIOD frequency is projected to increase linearly with the GMT but approaches a maximum as the GMT stabilises, in stark contrast to a continuous increase in the extreme El Niño frequency long after the GMT stabilisation. Further detail can be found at this link.
Understanding the ultimate risk of extreme El Niño associated with a 1.5˚C warming target
In a paper published in Nature Climate Change (Wang et al., 2017a) we demonstrate that extreme El Niño frequency increases linearly with the GMT towards a doubling at 1.5 °C warming. This increasing frequency of extreme El Niño events continues for up to a century after GMT has stabilized, underpinned by an oceanic thermocline deepening that sustains faster warming in the eastern equatorial Pacific than the off-equatorial region. Ultimately, this implies a higher risk of extreme El Niño to future generations after GMT rise has halted. On the other hand, whereas previous research suggests extreme La Niña events may double in frequency under the 4.5 °C warming scenario8, the results presented here indicate little to no change under 1.5 °C or 2 °C warming.
Abellán, E., McGregor, S., England, M. H., & Santoso, A. (2017). Distinctive role of ocean advection anomalies in the development of the extreme 2015–16 El Niño. Climate Dynamics. https://doi.org/10.1007/s00382-017-4007-0.
Bordbar, M. H., M. H. England, A. Sen Gupta, A. Santoso, A. S. Taschetto, T. Martin, W. Park, M. Latif (2019). Uncertainty in near-term global surface warming linked to tropical Pacific climate variability. Nature Communications, 10:1990. https://doi.org/10.1038/s41467-019-09761-2.
Cai, W., G. Wang, B. Dewitte, L. Wu, A. Santoso, K. Takahashi, Y. Yang, A. Carreric, and M. J. McPhaden (2018b). Increased variability of Eastern Pacific El Niño under greenhouse warming. Nature, 564, 201-206. https://doi.org/10.1038/s41586-018-0776-9.
Cai, W., Wang, G., Gan, B., Wu, L., Santoso, A., Lin, X., Chen, Z., Jia, F., & Yamagata, T. (2018). Stabilised frequency of extreme positive Indian Ocean Dipole under 1.5 °C warming. Nature Communications, 9(1), 1419. https://www.nature.com/articles/s41467-018-03789-6.
Cai, W., Wang, G., Santoso, A., Lin, X., & Wu, L. (2017). Definition of Extreme El Niño and Its Impact on Projected Increase in Extreme El Niño Frequency. Geophysical Research Letters, 44(21), 11,184-111,190. http://dx.doi.org/10.1002/2017GL075635.
Cai, W., Wu, L., Lengaigne, M. et al. (2019). Pantropical climate interactions. Science, 363(6430), eaav4236. http://science.sciencemag.org/content/363/6430/eaav4236.
Jia, F., Cai, W., Wu, L., Gan, B., Wang, G., Kucharski, F., . . . Keenlyside, N. (2019). Weakening Atlantic Niño–Pacific connection under greenhouse warming. Science Advances, 5(8), eaax4111. https://advances.sciencemag.org/content/5/8/eaax4111?rss=1.
Herold, N., & Santoso, A. (2017). Indian Ocean warming during peak El Niño cools surrounding land masses. Climate Dynamics. https://doi.org/10.1007/s00382-017-4001-6.
Holmes, R. M., McGregor, S., Santoso, A., & England, M. H. (2018). Contribution of Tropical Instability Waves to ENSO Irregularity. Climate Dynamics. https://doi.org/10.1007/s00382-018-4217-0.
Jo. H.-S., Yeh S.-W., Cai W., 2019: An Episodic Weakening in the Boreal Spring SST–Precipitation Relationship in the Western Tropical Pacific since the Late 1990s, Journal of Climate, 32, 3837-3845. https://doi.org/10.1175/JCLI-D-17-0737.1.
Makarim, S., J. Sprintall, Z. Liu, W. Yu, A. Santoso, X.-H. Yan, R. D. Susanto (2019). Previously unidentified Indonesian Throughflow pathways and freshening in the Indian Ocean during recent decades. Scientific Reports, 9:7364. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6517581/.
Santoso, A., Hendon, H., Watkins, A., et al. (2019a). Dynamics and predictability of the El Niño-Southern Oscillation: An Australian perspective on progress and challenges. Bulletin of the American Meteorological Society, 100, 403-420. https://journals.ametsoc.org/doi/abs/10.1175/BAMS-D-18-0057.1.
Santoso, A., McPhaden, M. J., & Cai, W. (2017). The Defining Characteristics of ENSO Extremes and the Strong 2015/2016 El Niño. Reviews of Geophysics, 55(4), 1079-1129. https://doi.org/10.1002/2017RG000560.
Timmerman, A., An, S. I., Kug, J. S., Jin, F. F., & Cai, W., et al. (2018). El Niño-Southern Oscillation complexity. Nature, 559(7715), 535-545. https://doi.org/10.1038/s41586-018-0252-6.
Wang, G. J., Cai, W. J., Gan, B. L., Wu, L. X., Santoso, A., Lin, X. P., Chen, Z. H., & McPhaden, M. J. (2017). Continued increase of extreme El Niño frequency long after 1.5 degrees C warming stabilization. Nature Climate Change, 7(8), 568-572. https://www.nature.com/articles/nclimate3351.
Wang, G. J., Cai, W. J., & Santoso, A. (2017). Assessing the Impact of Model Biases on the Projected Increase in Frequency of Extreme Positive Indian Ocean Dipole Events. Journal of Climate, 30(8), 2757-2767. http://journals.ametsoc.org/doi/abs/10.1175/JCLI-D-16-0509.1.
Zhong, W. X., Zheng, X. T., & Cai, W. J. (2017). A decadal tropical Pacific condition unfavorable to central Pacific El Niño. Geophysical Research Letters, 44(15), 7919-7926. https://doi.org/10.1002/2017GL073846.