CORRELATION OF SST AND CAPE TO RAINFALL IN WEST JAVA AND DKI JAKARTA

Azizah Putri Berimah; Muhammad Irfan; Hamdi Akhsan; Suhadi Suhadi

doi:10.59052/edufisika.v10i3.49472

Penulis

Azizah Putri Berimah Universitas Sriwijaya, Indonesia
Muhammad Irfan Universitas Sriwijaya, Indonesia
Hamdi Akhsan Universitas Sriwijaya, Indonesia
Suhadi Suhadi Universitas Sriwijaya, Indonesia

DOI:

https://doi.org/10.59052/edufisika.v10i3.49472

Kata Kunci:

Convective Available Potential Energy, Sea Surface Temperature, Rainfall

Abstrak

The high variability shown by the West Java and DKI Jakarta regions is influenced by various local and global factors such as Sea Surface Temperature (SST) and Convective Available Potential Energy (CAPE). The purpose of this study is to analyze the statistical correlation between SST and Rainfall, CAPE and Rainfall, and SST and CAPE. The data used covers the period 1985–2024 using ERA5 reanalysis data and rainfall data from 6 BMKG stations in the West Java and DKI Jakarta regions. The methods used include climatological analysis, anomalies, and Pearson correlation with a significance level of p-value <0.05. The results show that the rainfall pattern follows a tropical monsoon climate with peak rainfall in December–February and a dry season in June–August. A significant positive correlation between SST and rainfall is seen strongly in the southern region of West Java (near the Indian Ocean), while the northern region (north coast of Jakarta) shows a negative correlation influenced by the El Niño phenomenon and positive IOD. CAPE shows a strong positive correlation with rainfall across almost the entire region, particularly at Citeko, Kertajati, and the West Java Climatology Station, indicating the dominance of local convective processes. Furthermore, SST has a strong positive relationship with CAPE in the southern region, confirming the role of ocean warming in increasing atmospheric instability. These findings provide a scientific basis for developing an early warning system for extreme weather in densely populated urban areas.

Unduhan

Data unduhan belum tersedia.

Referensi

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., & Santoso, A. (2020). Coupling of Indo-Pacific climate variability over the last millennium. Nature Climate Change, 10(8), 708–715. https://doi.org/10.1038/s41558-020-0757-7

Adiguna, I. B. A. P., Nuarsa, I. W., & Puspitha, N. L. P. R. (2021). Pengaruh suhu permukaan laut terhadap curah hujan di Pulau Bali tahun 2009–2018. Jurnal Ilmu Kelautan dan Perairan, 7(2), 214–223. https://doi.org/10.24843/jmas.2021.v07.i02.p10

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

Asyam, F., Nugraha, A., & Ristiani, R. (2024). Tren peningkatan curah hujan ekstrem dan implikasinya terhadap risiko banjir di Jawa Barat. Jurnal Meteorologi dan Klimatologi Tropis, 12(1), 45–58. https://doi.org/10.31227/osf.io/xyz123

Azani, A. A., & Kusumawardani, N. (2022). Kajian indeks stabilitas atmosfer terhadap kejadian hujan lebat di Kota Bitung (Studi Kasus Tahun 2020–2021). Jurnal Widya Climago, 4(1), 29–36. https://ejournal-pusdiklat.bmkg.go.id/index.php/climago/article/view/71

Badan Meteorologi, Klimatologi, dan Geofisika. (2023). Laporan tahunan kejadian ekstrem dan bencana hidrometeorologi di Indonesia tahun 2023. BMKG.

Behera, S. K., & Yamagata, T. (2003). Influence of the Indian Ocean Dipole on the Southern Oscillation. Geophysical Research Letters, 30(4), 1832. https://doi.org/10.1029/2002GL016729

Copernicus Climate Change Service. (2024). ERA5: Fifth generation of ECMWF atmospheric reanalyses of the global climate. European Centre for Medium-Range Weather Forecasts. https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-single-levels

DetikNews. (2021, February 23). Ada tahun hilang di banjir Jakarta dalam angka: Ini data banjir DKI 2014–2020. https://news.detik.com/berita/d-5407349/ada-tahun-hilang-di-banjir-jakarta-dalam-angka-ini-data-banjir-dki-2014-2020

Diniyati, D. (2020). Energi potensial konvektif yang tersedia (CAPE). Jurnal Meteorologi Internasional, 34(337), 105–108.

Douville, H., Raghavan, K., Renwick, J., Allan, R. P., Arias, P. A., Barlow, M., Cerezo-Mota, R., Cherchi, A., Chung, C. T. Y., Ehsan, A., Evans, J., Feng, X., Sánchez, G., Ghosh, S., Hope, P., Islam, T., Izquierdo, R., Jain, S., Jones, R., … Zhang, P. (2021). Water cycle changes. In V. Masson-Delmotte, P. Zhai, A. Pirani, S. L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M. I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J. B. R. Matthews, T. K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, & B. Zhou (Eds.), Climate change 2021: The physical science basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (pp. 1055–1210). Cambridge University Press. https://doi.org/10.1017/9781009157896.010

Funk, C., Peterson, P., Landsfeld, M., Pedreros, D., Verdin, J., Shukla, S., Husak, G., Rowland, J., Harrison, L., Hoell, A., & Michaelsen, J. (2015). The climate hazards infrared precipitation with stations—A new environmental record for monitoring extremes. Scientific Data, 2, Article 150066. https://doi.org/10.1038/sdata.2015.66

Global Facility for Disaster Reduction and Recovery (GFDRR) & World Bank. (2021). Integrated flood risk management: A guide for practitioners. World Bank. https://www.gfdrr.org/en/publication/integrated-flood-risk-management-guide-practitioners

Goswami, P., Hazra, A., & Ghosh, S. (2021). Convective instability indices for extreme rainfall prediction over India using machine learning. Atmospheric Research, 262, 105769. https://doi.org/10.1016/j.atmosres.2021.105769

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., … Thépaut, J.-N. (2020). The ERA5 global reanalysis. Quarterly Journal of the Royal Meteorological Society, 146(730), 1999–2049. https://doi.org/10.1002/qj.3803

Hidayat, R., Syamsudin, F., & Aldrian, E. (2019). Linkages between Indian Ocean Dipole, CAPE, and rainfall extremes in Indonesia. International Journal of Climatology, 39(12), 4852–4865. https://doi.org/10.1002/joc.6103

Idhar, J., Suryadi, M., & Fauzi, A. (2023). Analisis badai petir berdasarkan nilai indeks labilitas atmosfer. Jurnal Digital Teknologi Informasi dan Komunikasi, 3(2), 21–30. https://doi.org/10.56757/djitc.v3i2.123

Kurniawan, R., & Yanto, M. (2023). Spatiotemporal analysis of extreme rainfall and flood risk under climate variability in Java Island. Natural Hazards, 117(2), 1425–1448. https://doi.org/10.1007/s11069-023-05942-1

Martinson, D. G. (2018). Empirical orthogonal function (EOF) analysis. In Quantitative methods of data analysis for the physical sciences and engineering (pp. 495–534). Cambridge University Press.

Narulita, I. (2020). Pengaruh ENSO dan IOD pada variabilitas curah hujan di DAS Cerucuk, Pulau Belitung. Jurnal Tanah dan Iklim, 41(1), 45–60. https://doi.org/10.21082/jti.v41n1.2017.45-60

Open Data Jawa Barat. (2024). Jumlah kejadian bencana banjir berdasarkan kabupaten/kota di Jawa Barat. https://opendata.jabarprov.go.id/id/dataset/jumlah-kejadian-bencana-banjir-berdasarkan-kabupatenkota-di-jawa-barat

Pierre Rainer. (2023). Distribusi penduduk Indonesia berdasarkan pulau/area. GoodStats. https://data.goodstats.id/statistic/distribusi-penduduk-indonesia-berdasarkan-pulauarea-sKtCH

Prasetyo, A., Hadi, T. W., & Nugroho, D. (2021). Karakteristik musim hujan di Indonesia berdasarkan interaksi monsun Asia-Australia. Jurnal Sains dan Teknologi Modifikasi Cuaca, 21(2), 67–78. https://doi.org/10.29122/jstmc.v21i2.4231

Rachmawati, L., & Setiawan, I. (2021). Seasonal predictability of extreme rainfall in western Indonesia using SST precursors. Climate Dynamics, 57, 2105–2120. https://doi.org/10.1007/s00382-021-05793-7

Rahayu, N. D., Sasmito, B., & Bashit, N. (2018). Analisis pengaruh fenomena Indian Ocean Dipole (IOD) terhadap curah hujan di Pulau Jawa. Jurnal Geodesi Undip, 7(1), 57–67.

Rasmussen, K. L., Houze, R. A., Jr., & Zuluaga, M. D. (2014). Extreme convection and rainfall in the tropical Andes. Nature Geoscience, 7, 787–792. https://doi.org/10.1038/ngeo2269

Saji, N. H., Goswami, B. N., Vinayachandran, P. N., & Yamagata, T. (1999). A dipole mode in the tropical Indian Ocean. Nature, 401(6751), 360–363. https://doi.org/10.1038/43854

Siregar, D., Siregar, M. Z., & Hadi, T. W. (2020). Karakteristik iklim hujan di wilayah Indonesia berdasarkan data reanalisis. BMKG Press.

Sulistiyono, A., Wijaya, K., & Gunawan, D. (2020). The role of sea surface temperature anomalies in modulating extreme rainfall over Java Island during the 2015–2019 El Niño. Atmospheric Research, 245, Article 105073. https://doi.org/10.1016/j.atmosres.2020.105073

Supari, Tangang, F., Juneng, L., & Aldrian, E. (2017). Observational evidence of Indonesia's rainfall response to the Madden–Julian Oscillation and its modulation by ENSO and IOD. Climate Dynamics, 48(11–12), 3899–3914. https://doi.org/10.1007/s00382-016-3318-1

Taszarek, M., Brooks, H. E., & Czernecki, B. (2021). Sounding-derived parameters associated with convective hazards in Europe. Monthly Weather Review, 149(4), 1251–1273. https://doi.org/10.1175/MWR-D-20-0384.1

Tirto.id. (2021, February 22). Rincian data banjir Jakarta dari tahun ke tahun versi Pemprov DKI. https://tirto.id/rincian-data-banjir-jakarta-dari-tahun-ke-tahun-versi-pemprov-dki-gayq

Trenberth, K. E., & Fasullo, J. T. (Eds.). (2022). The global water cycle: Observations and modeling. American Geophysical Union.

Vallis, G. K. (2017). Atmospheric and oceanic fluid dynamics: Fundamentals and large-scale circulation (2nd ed.). Cambridge University Press.

Wibowo, A., & Hadi, T. (2021). Pengaruh CAPE terhadap pembentukan hujan konvektif di wilayah Jakarta. Jurnal Sains Atmosfer Indonesia, 3(2), 67–78. https://doi.org/10.28932/jsai.v3i2.559

Wilks, D. S. (2019). Statistical methods in the atmospheric sciences (4th ed.). Academic Press.

World Meteorological Organization. (2022). Guidelines on urban hydrometeorological, climate and water services (WMO-No. 1291). https://library.wmo.int/doc_num.php?explnum_id=11483

Zar, J. H. (2010). Biostatistical analysis (5th ed.). Pearson Prentice Hall.