Analisis Hubungan Suhu Permukaan Laut dan Variabilitas Curah Hujan di Kabupaten Paniai dan Manokwari

 Ekky Amiral Faqi, Akhdori Alfa Menggala

Abstract


One of climate parameter is rainfall. Rainfall variations is influenced by many factors one of them is Sea Surface Temperature (SST). SST has a significant role in the occurrence of rain. This study aims to analyze the effect of SST to rainfall variations in the Manokwari region which represents a coastal area with a monsoonal rain pattern and Paniai Regency which represents a mountainous area with an equatorial rain pattern. In this study, an analytical method was used with rainfall data with 2017-2021 period from the BMKG Station in Manokwari and Paniai, as well as an analysis of the Nino 3.4 Sea Surface Temperature anomaly reanalysis data from NOAA. The results showed that the rainfall anomaly and SST anomaly in Paniai had an inverse relationship. Rainfall anomaly and SST anomaly in Manokwari generally have a directly proportional relationship. Reviewed from the value of the correlation coefficient, a significant relationship between the SST anomaly and the rainfall anomaly in Paniai and in Manokwari occurs in certain months.

Keywords


Rainfall; Sea Surface Temperature; Anomaly

References


Aldrian, E., & Susanto, R. D. (2003). Identification of three dominant rainfall regions within Indonesia and their relationship to sea surface temperature. International Journal of Climatology, 23(12), 1435–1452. https://doi.org/10.1002/joc.950

Aldrian, E., Pengkajian, B., & Teknologi, P. (2008). Meteorologi Laut Indonesia. Badan Meteorologi dan Geofisika. https://www.researchgate.net/publication/305809658

Aldiran, E. (2014). Orasi Pengukuhan Profesor Riset Bidang Meteorologi dan Klimatologi Pemahaman Dinamika Iklim di Negara Kepulauan Indonesia Sebagai Modalitas Ketahanan Bangsa. Badan Meteorologi dan Geofisika.

CNN Indonesia., (2019, December 29). Banjir Manokwari, Jalur Trans Papua Barat Tertimbun Longsor.https://www.cnnindonesia.com/nasional/20191229003152-20-460727/banjir-manokwari-jalur-trans-papua-barat-tertimbun-longsor.

Estiningtyas, W., Ramadhani, F., & Aldrian, D. E.(2007). Analisis Korelasi Curah Hujan dan Suhu Permukaan Laut Wilayah Indonesia, Serta Implikasi Untuk Prakiraan Curah Hujan (Studi Kasus Kabupaten Cilacap). In J. Agromet Indonesia (Vol. 21, Issue 2).

Harahap, S. F., & Mazaly, F. S. W. (2024). Pendekatan Korelasi Pearson dan Spearman dalam Menganalisis Hubungan Penggunaan Bahan Ajar Berbasis Daring dan Prestasi Akademik Mahasiswa. MES (Journal of Mathematics Education and Science), 10(1), 270–276. https://doi.org/10.30743/mes.v10i1.10204

Hidayat, A. M., Efendi, U., Agustina, L., & Winarso, P. A. (2018). Korelasi Indeks Nino 3.4 Dan Southern Oscillation Index (SOI) Dengan Variasi Curah Hujan Di Semarang. Jurnal Sains & Teknologi Modifikasi Cuaca, 19(2), 75. https://doi.org/10.29122/jstmc.v19i2.3143

Hidayat, U., Prasetyo, S., Haryanto, Y. D., & Riama, N. F. (2022). Pengaruh ENSO Terhadap Curah Hujan dan Kelembapan Relatif serta Suhu Permukaan Laut di Sulawesi Effect of ENSO on Rainfall and Relative Humidity and Sea Surface Temperature in Sulawesi. https://doi.org/https://doi.org/10.31172/bgb.v2i2.56

Lestari, R. E. , Putri. A. R. , & Nugraheni. I. R. (2017). Prosiding SNFA (Seminar Nasional Fisika dan Aplikasinya) 2017 Analisis Korelasi Suhu Muka Laut dan Curah Hujan di Stasiun Meteorologi Maritim Kelas II Kendari Tahun 2005-2014. https://www.esrl.noaa.gov/psd/map/clim/sst.shtml.

Mamenun. (2012). Prediksi Anomali Curah Hujan Bulanan di Wilayah Makassar Menggunakan Teknik Statisical Downscaling. Jurnal Meteorologi Dan Geofisika, 13(3). https://doi.org/10.31172/jmg.v13i3.132

Saiman., (2021, Januari 10). Banjir Manokwari, Jalur Trans Papua Barat Tertimbun Longsor.https://www.cnnindonesia.com/nasional/20191229003152-20-460727/banjir-manokwari-jalur-trans-papua-barat-tertimbun-longsor.

Sarvina, Y. (2023). Enso and climate variability in Papua. IOP Conference Series: Earth and Environmental Science, 1192(1). https://doi.org/10.1088/1755-1315/1192/1/012041

Trenberth, K.E. (2022, October 19). The Climate Data Guide: Nino SST Indices (Nino 1+2, 3, 3.4, 4; ONI and TNI). https://climatedataguide.ucar.edu/climate-data/nino-sst-indices-nino-12-3-34-4-oni-and-tni

Tukidi. (2012). Karakter Curah Hujan di Indonesia. Jurnal Geografi Unnes, 7 (2), 136–145. https://doi.org/10.15294/jg.v7i2.84

United Nations. (1982). United Nations Convention on the Law of the Sea (Myron H. Nordquist, Ed.). Martinus Nijhoff Publishers.

Vitri, T. (2014). Analisis Pengaruh El Nino Southern Oscilation (ENSO) Terhadap Curah Hujan di Koto Tabang Sumatera Barat. Jurnal Fisika Unand, 3(4).

Wulandari, A., Muliadi., & Apriansyah. (2018). Pengaruh Sebaran Uap Air terhadap Curah Hujan di Kalimantan Barat. Prisma Fisika, 6 (3)(3), 160–166. https://doi.org/10.26418/pf.v6i3.28709


DOI: http://dx.doi.org/10.31314/jsig.v8i1.3494

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