Theoretical and Natural Science

- The Open Access Proceedings Series for Conferences


Theoretical and Natural Science

Vol. 7, 09 October 2023


Open Access | Article

El Niño southern oscillation’s effects on China

Yuchen Gao * 1
1 Nanjing University

* Author to whom correspondence should be addressed.

Theoretical and Natural Science, Vol. 7, 39-49
Published 09 October 2023. © 2023 The Author(s). Published by EWA Publishing
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Citation Yuchen Gao. El Niño southern oscillation’s effects on China. TNS (2023) Vol. 7: 39-49. DOI: 10.54254/2753-8818/7/20230112.

Abstract

ENSO, known as the dominant interannual variation in the climate system, consists of two components: La Niña and El Niño. Earlier research indicates that ENSO is contributed to by red noise, while other studies attribute it to deterministic oceanic dynamical processes. The Bjerknes feedback amplifies the sea surface temperature anomaly, forming a cycle of 2-7 years through delayed negative feedback. ENSO not only significantly impacts the climate of the eastern equatorial Pacific but also influences mid-to-high latitudes by affecting equatorial atmospheric circulation. Additionally, ENSO has important effects on the western Pacific coastal region. For example, sea surface temperature anomalies during ENSO affect East Asian monsoon activity in subsequent years, thereby impacting the Chinese monsoon. Moreover, ENSO influences winter synoptic-scale temperature variability in China by affecting synoptic-scale transient vortices over Siberia. Furthermore, we discuss the similarities and discrepancies in the influence of Central Pacific and Eastern Pacific ENSO events on East Asia.

Keywords

ENSO, drought-flood abrupt transition, monsoon

References

1. Latif, M., & Keenlyside, N. S. (2009). El Niño/Southern Oscillation response to global warming. Proceedings of the National Academy of Sciences, 106(49), 20578-20583.

2. Wang, C. (2018). A review of ENSO theories. National Science Review, 5(6), 813-825.

3. Alizadeh, O., Qadimi, M., Zolghadrshojaee, M., & Irannejad, P. (2022). Frequency of different types of El Niño events under global warming. International Journal of Climatology, 42(16), 9697-9709.

4. Lv, A., Fan, L., & Zhang, W. (2022). Impact of ENSO Events on Droughts in China. Atmosphere, 13(11), 1764.

5. Yang, H., Chen, X., Xu, W., & Tan, Q. (2017). Impact of ENSO Events on Droughts in China. Water, 9(3), 151

6. Shan, L. J., Zhang, L. P., Zhang, Y. J., She, D. X., & Xia, J. (2018). Characteristics analysis of drought-flood abrupt transition events in the middle and lower reaches of the Yangtze River Basin and their relationship with ENSO. Acta Geographica Sinica, 73(1), 25-40.

7. Yu, Q. Q., Xie, D. M., Chen, Y. P., & Zhu, Y. (2022). A preliminary study on the relationship between tropical cyclones affecting the coast of China and ENSO changes from 1979 to 2019. Marine Bulletin.

8. Long, Z. X., & Li, C. Y. (1999). GCM simulation study on the influence of ENSO on East Asian monsoon activities. Acta Meteorologica Sinica, 57(6), 651-661.

9. Ni, Y. Q., Zou, L., Zhang, X. D., Wang, G. M., Yang, X. Q., & Wu, A. M. (1995). Research on ENSO and its impact on Asian monsoon and climate change in China. Meteorological Science, 15(4), 30-45.

10. Ren, M. L., Zhang, W. J., Geng, X., & Liu, C. (2020). Influence of ENSO on the temperature variability of winter weather scales in China and its possible mechanism. Acta Meteorologica Sinica, 78(2), 199-209.

11. Wu, H. Y., Pan, W. J., & Wang, T. (2014). Relationship between winter temperature anomalies in South China and ENSO. Meteorology, 40(10), 1230-1239.

12. Chen, W., Ding, S. Y., Feng, J., Chen, S. F., Xue, X., & Zhou, Q. (2018). Research progress on the influence and mechanism of different types of ENSO on the East Asian monsoon. Chinese Journal of Atmospheric Sciences, 42(3), 640-655.

Data Availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. Authors who publish this series agree to the following terms:

1. Authors retain copyright and grant the series right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this series.

2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the series's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this series.

3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See Open Access Instruction).

Volume Title
Proceedings of the 2023 International Conference on Environmental Geoscience and Earth Ecology
ISBN (Print)
978-1-83558-015-8
ISBN (Online)
978-1-83558-016-5
Published Date
09 October 2023
Series
Theoretical and Natural Science
ISSN (Print)
2753-8818
ISSN (Online)
2753-8826
DOI
10.54254/2753-8818/7/20230112
Copyright
09 October 2023
Open Access
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Copyright © 2023 EWA Publishing. Unless Otherwise Stated