KETERKAITAN ANTARA MONSUN INDO-AUSTRALIA DENGAN VARIABILITAS MUSIMAN CURAH HUJAN DI BENUA MARITIM INDONESIA SECARA SPASIAL BERBASIS HASIL ANALISIS DATA SATELIT TRMM

Authors

  • Danang Eko Nuryanto Badan Meteorologi Klimatologi dan Geofisika (BMKG)

DOI:

https://doi.org/10.31172/jmg.v13i2.123

Keywords:

monsoon, monsoon index, indonesian maritime continent

Abstract

Studi mengenai aktivitas curah hujan Benua Maritim Indonesia (BMI) menjadi penting karena dikaitkan dengan aktivitas Monsun Indo-Australia. Analisis spasial digunakan untuk memberikan gambaran secara luas mengenai curah hujan spasial BMI terkait dengan Monsun Indo-Australia. Data yang dipergunakan adalah data curah hujan spasial dari Tropical Rainfall Measuring Mission (TRMM) dan angin zonal 850 mb, guna menghitung indeks Monsun Indo-Australia, dari National Centers for Environmental Prediction (NCEP). Setelah dihitung indeks Monsun Indo-Australia, dipilih Australian Monsoon Index 0 AUSMI0 dan AUSMI3, maka selanjutnya dilakukan korelasi lag (waktu jeda) pada masing- masing indeks, terhadap curah hujan spasial. Diperoleh hasil bahwa Monsun Indo-Australia cenderung tidak berkaitan terhadap variabilitas musiman curah hujan BMI saat periode JJA. Wilayah BMI dengan variabilitas musiman curah hujan mempunyai keterkaitan paling kuat saat periode DJF adalah Lampung, Jawa, Kalimantan bagian selatan dan Makasar. Wilayah BMI dengan variabilitas musiman curah hujan mempunyai keterkaitan yang sangat kuat pada saat dan sebelum Monsun Indo-Australia aktif.

 

Study of Indonesian Maritime Continent (IMC) rainfall activity is important because of the relationship with Indo- Australian Monsoon. Spatial analysis is used to provide a broad overview of the IMC spatial rainfall associated with Indo- Australian monsoon. This study uses the spatial rainfall data from Tropical Rainfall Measuring Mission (TRMM) and 850 mb zonal wind from National Centers for Environmental Prediction (NCEP), in order to calculate Indo-Australian Monsoon Index. Choosing AUSMI0 and AUSMI3 Australian Monsoon Index after calculating the Indo-Australian Monsoon index is to conduct lag-time correlation on each index to spatial rainfall. The results show that the Indo-Australian Monsoon region do not tend to be associated with JJA period of IMC seasonal rainfall variability. The IMC region with seasonal rainfall variability that linked most strongly during DJF period is Lampung, Java, southern Kalimantan and Makassar. The IMC region with seasonal rainfall variability has a very strong relationship at the time and before activity the Indo-Australian Monsoon.

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Published

2012-08-15

How to Cite

Nuryanto, D. E. (2012). KETERKAITAN ANTARA MONSUN INDO-AUSTRALIA DENGAN VARIABILITAS MUSIMAN CURAH HUJAN DI BENUA MARITIM INDONESIA SECARA SPASIAL BERBASIS HASIL ANALISIS DATA SATELIT TRMM. Jurnal Meteorologi Dan Geofisika, 13(2). https://doi.org/10.31172/jmg.v13i2.123

Issue

Vol. 13 No. 2 (2012)

Section

Article

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