A 30-Year Climatological Analysis of Atmospheric Dynamics Anomalies during CENS in Western Indonesia

Authors

  • Didik Kurniawan Sekolah Tinggi Meteorologi Klimatologi dan Geofisika Author
  • Farhan Oktaviansyah Hidayat Sekolah Tinggi Meteorologi Klimatologi dan Geofisika Author
  • Binsar Hakim Aritonang Sekolah Tinggi Meteorologi Klimatologi dan Geofisika Author
  • Rizki Addriyan Aliyafi Sekolah Tinggi Meteorologi Klimatologi dan Geofisika Author
  • Sayful Amri Sekolah Tinggi Meteorologi Klimatologi dan Geofisika Author

DOI:

https://doi.org/10.31629/jmps.v2i3.7974

Keywords:

Cross-Equatorial Northerly Surge, Atmospheric Anomalies, Maritime Stability, Western Maritime Continent

Abstract

Cross Equatorial Northerly Surges or CENS are an important atmospheric phenomenon influencing weather variability over the Maritime Continent. These surge events frequently generate hazardous hydrometeorological conditions, including heavy rainfall and surface cooling, posing risks to maritime activities and coastal regions. This study presents a climatological analysis of atmospheric dynamics anomalies associated with CENS over the Western Maritime Continent using a 30 year dataset covering the period from 1991 to 2020. Atmospheric anomalies in precipitation rate, outgoing longwave radiation, relative humidity, and maximum temperature are analyzed using NCEP NCAR Reanalysis data. Active CENS events are identified based on meridional wind speed thresholds during the boreal winter season from November to March, resulting in 170 active CENS days. The results indicate that CENS events are consistently associated with enhanced precipitation, reduced outgoing longwave radiation, increased low level relative humidity, and widespread surface cooling. These anomalies reflect intensified convective activity driven by the transport of cold and moist air masses from the Northern Hemisphere. Maximum temperature decreases by up to 4.5 degrees Celsius due to the combined effects of cold air advection and increased cloud cover that suppresses incoming solar radiation. By adopting a multi decadal climatological framework, this study provides new insights into persistent atmospheric responses to CENS that are not fully captured by shorter term or event based analyses. The climatological baseline established here improves understanding of large scale drivers of extreme rainfall and atmospheric instability over western Indonesia and offers valuable information for enhancing weather forecasting, early warning systems, and maritime risk management.

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References

As-Syakur, A. R., Osawa, T., Miura, F., Nuarsa, I. W., Ekayanti, N. W., Dharma, I. G. B. S., Adnyana, I. W. S., Arthana, I. W., & Tanaka, T. (2016). Maritime Continent rainfall variability during the TRMM era: The role of monsoon, topography and El Niño Modoki. Dynamics of Atmospheres and Oceans, 75, 58–77. https://doi.org/10.1016/J.DYNATMOCE.2016.05.004

Chen, Y., Zhang, S., Gong, G., Chen, P., Gan, T. Y., Chen, D., & Liu, J. (2024). Impacts of moisture transport on extreme precipitation in the Central Plains Urban Agglomeration, China. Global and Planetary Change, 242, 104582. https://doi.org/10.1016/J.GLOPLACHA.2024.104582

Coll-Hidalgo, P., Nieto, R., Pérez-Alarcón, A., Trigo, R. M., Fernández-Alvarez, J. C., & Gimeno, L. (2024). Assessing target areas for precipitating moisture source analysis of extratropical cyclones: An analysis based on case studies. Atmospheric Research, 310, 107628. https://doi.org/10.1016/J.ATMOSRES.2024.107628

Creswell, J. W., & Creswell, J. D. (2018). Research design. Qualitative, quantitative, and mixed methods approaches (5th ed.). SAGE Publications.

Dai, H., & Fan, K. (2021). An effective downscaling model for operational prediction of summer precipitation over China. Atmospheric Research, 257, 105621. https://doi.org/10.1016/J.ATMOSRES.2021.105621

Dai, Y. L., Sun, B., Zhou, B. T., Li, H. X., He, S., Li, F., Huang, Y. T., & Tang, W. C. (2025). Intensified extreme cold surges in northern East Asia and the associated changes in atmospheric circulation under climate change. Advances in Climate Change Research, 16(5), 960–973. https://doi.org/10.1016/J.ACCRE.2025.07.003

Fazal, A. M., Varikoden, H., & Reji, M. J. K. (2023). Long term trends and variabilities of rainfall of the global monsoon systems during boreal and austral summer seasons. Global and Planetary Change, 229, 104251. https://doi.org/10.1016/J.GLOPLACHA.2023.104251

Lestari, S., King, A., Vincent, C., Karoly, D., & Protat, A. (2019). Seasonal dependence of rainfall extremes in and around Jakarta, Indonesia. Weather and Climate Extremes, 24, 100202. https://doi.org/10.1016/J.WACE.2019.100202

Li, G., Yu, Z., Li, Y., Yang, C., Gu, H., Zhang, J., & Huang, Y. (2024). Interaction mechanism of global multiple ocean-atmosphere coupled modes and their impacts on South and East Asian Monsoon: A review. Global and Planetary Change, 237, 104438. https://doi.org/10.1016/J.GLOPLACHA.2024.104438

Matsuzaki, K. M., Holbourn, A. E., Kuhnt, W. M., Ikeda, M., & Gong, L. (2023). Variability of the Indonesian Throughflow and Australian monsoon across the mid Pleistocene transition (IODP 363, Site U1483). Earth and Planetary Science Letters, 624, 118437. https://doi.org/10.1016/J.EPSL.2023.118437

Morita, J., Takayabu, Y. N., Shige, S., & Kodama, Y. (2006). Analysis of rainfall characteristics of the Madden–Julian oscillation using TRMM satellite data. Dynamics of Atmospheres and Oceans, 42(1–4), 107–126. https://doi.org/10.1016/J.DYNATMOCE.2006.02.002

Neuman, W. L. (2014). Social Research Methods: Qualitative and Quantitative Approaches (7th ed.). Pearson Education. www.pearsoned.co.uk

Prabhu, A., & Pandithurai, G. (2018). ISCCP observed large-scale cloud features over the Indo-Pacific, Southern Annular Mode and Indian summer monsoon. Polar Science, 18, 167–175. https://doi.org/10.1016/J.POLAR.2018.04.008

Ramadhan, R., Marzuki, M., Suryanto, W., Sholihun, S., Yusnaini, H., & Muharsyah, R. (2024). Rainfall variability in Indonesia new capital associated with the Madden-Julian Oscillation and its contribution to flood events. Quaternary Science Advances, 13, 100163. https://doi.org/10.1016/J.QSA.2024.100163

Samah, A. A., Babu, C. A., Varikoden, H., Jayakrishnan, P. R., & Hai, O. S. (2016). Thermodynamic and dynamic structure of atmosphere over the east coast of Peninsular Malaysia during the passage of a cold surge. Journal of Atmospheric and Solar-Terrestrial Physics, 146, 58–68. https://doi.org/10.1016/J.JASTP.2016.05.011

Syamsudin, F., Lestari, S., Awaludin, A., Siswanto, Yulihastin, E., Marpaung, F., Sulistyowati, R., Sinatra, T., Purbantoro, B., Darmawan, S., Nafiisyanti, A., Madethen, T. A. P., Rahman, A. R. A., & Ryanto, F. N. (2026). Contributions of local and large-scale climate drivers on the extreme rainfall events in the Megacity of Jakarta. Atmospheric Research, 329, 108537. https://doi.org/10.1016/J.ATMOSRES.2025.108537

Wati, T., Hadi, T. W., Sopaheluwakan, A., Fajary, F. R., & Hutasoit, L. M. (2025). Historical rainfall reconstruction in the period of 1900–2010 for extreme climate event analysis (case study in Java Island, Indonesia). Kuwait Journal of Science, 52(2), 100377. https://doi.org/10.1016/J.KJS.2025.100377

Wicaksono, G. B., & Hidayat, R. (2016). Extreme Rainfall in Katulampa Associated with the Atmospheric Circulation. Procedia Environmental Sciences, 33, 155–166. https://doi.org/10.1016/J.PROENV.2016.03.066

Wijaya, D. D., Putri, N. S. E., Wibowo, S. T., & Kuntjoro, W. (2022). Seasonal and annual variations of the GPS-based precipitable water vapor over Sumatra, Indonesia. Atmospheric Research, 275, 106216. https://doi.org/10.1016/J.ATMOSRES.2022.106216

Yamanaka, M. D. (2016). Physical climatology of Indonesian maritime continent: An outline to comprehend observational studies. Atmospheric Research, 178–179, 231–259. https://doi.org/10.1016/J.ATMOSRES.2016.03.017

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Published

2025-12-26

How to Cite

Kurniawan, D., Hidayat, F. O., Aritonang, B. H., Aliyafi, R. A., & Amri, S. (2025). A 30-Year Climatological Analysis of Atmospheric Dynamics Anomalies during CENS in Western Indonesia. Journal of Maritime Policy Science, 2(3), 146-157. https://doi.org/10.31629/jmps.v2i3.7974