IMPACT PROFILE OF ENSO AND DIPOLE MODE ON RAINFALL AS ANTICIPATION OF HYDROMETEOROLOGICAL DISASTERS IN THE PROVINCE OF SOUTH SUMATRA

Authors

  • Melly Ariska Physics Education, Faculty of Teacher Training and Education, Sriwijaya University, Palembang-Prabumulih Street KM 32 Indralaya, Ogan Ilir, South Sumatra 32155, Indonesia
  • Hamdi Akhsan Physics Education, Faculty of Teacher Training and Education, Sriwijaya University, Palembang-Prabumulih Street KM 32 Indralaya, Ogan Ilir, South Sumatra 32155, Indonesia
  • Muhammad Muslim Physics Education, Faculty of Teacher Training and Education, Sriwijaya University, Palembang-Prabumulih Street KM 32 Indralaya, Ogan Ilir, South Sumatra 32155, Indonesia

DOI:

https://doi.org/10.21009/SPEKTRA.073.02

Keywords:

dipole mode, El Niño, ENSO, La Niña, rainfall

Abstract

El Niño Southern Oscillation (ENSO) is a weather phenomenon in the Pacific Ocean. At the same time, Dipole Mode (DM) is an ocean-atmosphere interaction phenomenon in the Indian Ocean. The area of South Sumatra Province, which is in the Monsunal area, makes the influence of ENSO and DM very instrumental in determining the length of the rainy season and throughout the year. The South Sumatra region is very vulnerable to forest and land fire disasters due to the condition of the area in the form of swamps and peatlands, which are very easy to burn if the dry season occurs in the South Sumatra area. In this study, an analysis of the effect of ENSO and DM on rainfall in the South Sumatra Region from 1981 to 2020 was carried out using a simple linear regression method and the correlation coefficient using Niño 3.4 index data and Dipole Mode with rainfall data and consecutive rainy days data. Consecutive Wet Day (CWD). The purpose of this study was to determine the effect of Enso and Dipole Mode on rainfall and CWD in the South Sumatra Region. The results show that the correlation between ENSO and rainfall is 0.0017-0.002573, DM and rainfall is 0.05972, and ENSO and CWD is -0.068. The correlation between DMI and CWD is 0.513. So it can be said that ENSO and DMI have no effect on rainfall in the South Sumatra Province. Still, the amount of CWD in South Sumatra Province is significantly determined by the Dipole Mode Index (DMI) at a moderate level. The number of consecutive rainy days in South Sumatra Province is influenced by the dynamics of the ocean and atmosphere of the Indian Ocean, which is characterized by the presence of positive IOD and negative IOD phenomena.

References

[1] T. C. W. T. Rajendra, K. Pachauri, Leo Meyer, “Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change,” IPCC, Geneva, Switz., p. 155, 2014.
[2] M. B. Novi, Muliadi and R. Adriat, “Pengaruh ENSO dan Dipole Mode Terhadap Curah Hujan di Kota Pontianak,” Prisma Fisika, vol. 6, no. 3, pp. 210-213, 2018.
[3] P. P. Simanjuntak, A. D. Nopiyanti and A. Safril, “Proyeksi Curah Hujan Dan Suhu Udara Ekstrim Masa Depan Periode Tahun 2021-2050 Kota Banjarbaru Kalimantan Selatan,” Jukung (Jurnal Tek. Lingkungan), vol. 6, no. 1, pp. 45-53, 2020, doi: 10.20527/jukung.v6i1.8237.
[4] Misnawati and M. Perdanawanti, “Trend of Extreme Precipitation over Sumatera Island for 1981-2010,” Agromet, vol. 33, no. 1, pp. 41-51, 2019, doi: 10.29244/j.agromet.33.1.41-51.
[5] R. Susanti, Y. Anwar and E. Ermayanti, “Profile of science process skills of Preservice Biology Teacher in General Biology Course,” J. Phys. Conf. Ser., vol. 1006, no. 1, 2018, doi: 10.1088/1742-6596/1006/1/012003.
[6] H. YIN and Y. SUN, “Characteristics of extreme temperature and precipitation in China in 2017 based on ETCCDI indices,” Adv. Clim. Chang. Res., vol. 9, no. 4, pp. 218-226, 2018, doi: 10.1016/j.accre.2019.01.001.
[7] Bunga Rahayu, “Pengelompokan Dampak Bencana Tanah Longsor di indonesia Menggunakan Kohonen Self Organizing Maps (SOM),” 2019.
[8] M. L. Adikusumo, “Karakteristik Curah Hujan DKI Jakarta Dengan Metode Empirical Orthogonal Function (EOF),” 2008.
[9] M. Ariska, H. Akhsan and M. Muslim, “Dinamika Sistem Mekanik Non-Holonomik Dengan Metode Koneksi Levi-Civita Terkendala Berbasis Komputasi Fisika,” Journal Online Of Physics, vol. 6, no. 1, pp. 20-23, 2020.
[10] S. M. Robial, S. Nurdiati and A. Sopaheluwakan, “Analisis Empirical Orthogonal Function (Eof) Berbasis Eigen Value Problem (Evp) Pada Dataset Suhu Permukaan Laut Indonesia,” Journal of Mathematics and Its Applications, vol. 15, no. 1, p. 1, 2016, doi: 10.29244/jmap.15.1.1-12.
[11] F. P. Karundeng, “Analisis Pengaruh Kepuasan,” Emba, vol. 1, no. 3, pp. 639-647, 2013.
[12] A. R. Agusta et al., “Pemodelan curah hujan bulanan di kabupaten sintang menggunakan metode monte carlo dengan algoritma metropolis,” Positron, vol. 3, no. 2, pp. 32-34, 2013.
[13] E. Hermawan, “Pengelompokkan Pola Curah Hujan Yang Terjadi Di Beberapa Kawasan P. Sumatera Berbasis Hasil Analisis Teknik Spektral,” Journal of Meteorology and Geophysics, vol. 11, no. 2, pp. 75-85, 2010, doi: 10.31172/jmg.v11i2.67.
[14] S. B. Sipayung et al., “Analisis Pola Curah Hujan Indonesia Berbasis Luaran Model Sirkulasi Global (Gcm),” Journal Sains Dirgant, vol. 4, no. 2, pp. 145-154, 2007, [Online], Available: http://jurnal.lapan.go.id/index.php/jurnal_sains/article/viewFile/669/587.
[15] J. W. Emery, E. Richard and Thomson, “Data Analysis Methods in Physical Oceanogrraphy,” Newnes, 2014.
[16] J. M. Glisan et al., “Analysis of WRF extreme daily precipitation over Alaska using self-organizing maps,” Journal of Geophysical Research: Atmospheres, vol. 121, no. 13, pp. 7746-7761, 2016, doi: 10.1002/2016JD024822.
[17] T. Cavazos, “Using self-organizing maps to investigate extreme climate events: An application to wintertime precipitation in the Balkans,” Journal of Climate, vol. 13, no. 10, pp. 1718-1732, 2000, doi: 10.1175/1520-0442(2000)013<1718:USOMTI>2.0.CO;2.
[18] I. Iskandar, “Seasonal and interannual patterns of sea surface temperature in Banda Sea as revealed by self-organizing map,” Continental Shelf Research, vol. 30, no. 9, pp. 1136-1148, 2010, doi: 10.1016/j.csr.2010.03.003.
[19] I. Iskandar et al., “Impact of Indian Ocean Dipole on intraseasonal zonal currents at 90°E on the equator as revealed by self-organizing map,” Geophysical Research Letters, vol. 35, no. 14, pp. 1-5, 2008, doi: 10.1029/2008GL033468.
[20] M. Ariska, H. Akhsan and Z. Zulherman, “Utilization of Maple-based Physics Computation in Determining the Dynamics of Tippe Top,” Jurnal Penelitian Fisika Dan Aplikasinya (JPFA), vol. 8, no. 2, p. 123, 2018, doi: 10.26740/jpfa.v8n2.p123-131.
[21] M. Ariska, H. Akhsan and M. Muslim, “Potential energy of mechanical system dynamics with nonholonomic constraints on the cylinder configuration space,” in Journal of Physics: Conference Series, 2020, vol. 1480, no. 1, doi: 10.1088/1742-6596/1480/1/012075.
[22] D. Hermon, “Impacts of land cover change on climate trend in Padang Indonesia,” Indonesian Journal of Geography, vol. 46, no. 2, p. 138, 2014, doi: 10.22146/ijg.5783.
[23] P. B. Gibson et al., “On the use of self-organizing maps for studying climate extremes,” Journal of Geophysical Research: Atmospheres, vol. 122, no. 7, pp. 3891-3903, 2017, doi: 10.1002/2016JD026256.
[24] F. Pourasghar et al., “The interannual precipitation variability in the southern part of Iran as linked to large-scale climate modes,” Climate dynamics, vol. 39, no. 9-10, pp. 2329-2341, 2012, doi: 10.1007/s00382-012-1357-5.
[25] Chonghua Yin, “Applications of Self-Organizing Maps (SOM) to Statistical Downscaling of Major Regional Climate Variable,” Doctoral dissertation, University of Waikato, 1994.
[26] M. J. Mcphaden et al., “Climate-driven sea level extremes compounded by marine heatwaves in coastal Indonesia,” 2021.
[27] E. Aldrian and R. Dwi Susanto, “Identification of three dominant rainfall regions within Indonesia and their relationship to sea surface temperature,” Int. J. Climatol., vol. 23, no. 12, pp. 1435-1452, 2003, doi: 10.1002/joc.950.
[28] A. Sukmono et al., “Analisis Pengaruh Angin Monsun Terhadap Perubahan Curah Hujan Dengan Penginderaan Jauh (Studi Kasus: Provinsi Jawa Tengah),” Jurnal Geodesi Undip, vol. 8, no. 1, pp. 278-287, 2019.
[29] M. R. Iskandar, “Mengenal Indian Ocean Dipole ( IOD ) dan Dampaknya Pada Perubahan Iklim,” vol. 39, no. 2, pp. 13-21, 2014.
[30] E. Aldrian, “Pembagian Iklim Indonesia Berdasarkan Pola Curah Hujan Dengan Metoda ‘Double Correlation’,” Jurnal Sains & Teknologi Modifikasi Cuaca, vol. 2, no. 1, pp. 2-11, 2001.
[31] E. Yulihastin, “Mekanisme Interaksi Monsun Asia dan Enso,” Berita Dirgantara, vol. 11, no. 3, pp. 99-105, 2010.
[32] E. Y. Handoko, R. B. Filaili, “Analisa Fenomena Enso Di Perairan Indonesia Menggunakan Data Altimetri Topex/Poseidon Dan Jason Series Tahun 1993-2018,” Geoid, vol. 14, no. 2, p. 43, 2019, doi: 10.12962/j24423998.v14i2.3892.
[33] A. Rouw et al., “Analisis Variasi Geografis Pola Hujan di Wilayah Papua Geographic Variation Analysis of Rainfall Pattern in Papua Region,” Jurnal Tanah dan Iklim, vol. 38, no. 1, pp. 25-34, 2014, [Online]. Available: http://ejurnal.litbang.pertanian.go.id/index.php/jti/article/view/6245
[34] D. E. Harrison, “El Nino-Southern Oscillation Sea Surface Temperature and Wind Anomalies,” Reviews of Geophysics, vol. 36, no. 3, pp. 353-399, 1998.
[35] Dewanti et al., “Pengaruh El Niño Southern Oscillation (ENSO) Terhadap Curah Hujan di Kalimantan Barat,” Prisma Fisika, vol. 6, no. 3, pp. 145-151, 2018.
[36] Z. Ye and Z. Li, “Spatiotemporal variability and trends of extreme precipitation in the Huaihe river basin, a climatic transitional zone in East China,” Advances in Meteorology, 2017, doi: 10.1155/2017/3197435.
[37] H. Tanaka and M. D. Yamanaka, “Atmospheric by the Circulation Mesoscale in the Lower Stratosphere Breakdown Induced Mountain Wave By Hiroshi Tanaka and Manabu D . Yamanaka1 ( Manuscript received 19 September 1983 , in revised form 11 October 1985 ) Abstract,” ournal of the Meteorological Society of Japan, vol. 63, no. 6, pp. 1047-1054, 1985.
[38] M. D. Yamanaka, “Equatorial rainfall and global climate,” pp. 3-6, 2018.
[39] M. D. Yamanaka, “Physical climatology of Indonesian maritime continent: An outline to comprehend observational studies,” Atmospheric Research, vol. 178-179, pp. 231-259, 2016, doi: 10.1016/j.atmosres.2016.03.017.

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Published

2022-12-30

How to Cite

Ariska, M., Akhsan, H., & Muslim, M. (2022). IMPACT PROFILE OF ENSO AND DIPOLE MODE ON RAINFALL AS ANTICIPATION OF HYDROMETEOROLOGICAL DISASTERS IN THE PROVINCE OF SOUTH SUMATRA . Spektra: Jurnal Fisika Dan Aplikasinya, 7(3), 127–140. https://doi.org/10.21009/SPEKTRA.073.02