Abstract
Limitations of observational data such as insufficient data length, incomplete, and uneven station distribution make it difficult to analyze and predict rain, so it requires supporting instruments such as satellites to provide a better and broader picture of rainfall distribution. However, it is necessary to test the accuracy of satellite data because the resolution and conditions of each region are different. This research aims to validate IMERG rain data against observation data in the 2015 El Nino period using observation rainfall data from BMKG Negara and IMERG data from GPM satellite at 12 rain points in Bali Province. The analytical method used is quantitative statistics, the calculation of errors and correlations and the comparison of the spatial pattern of the two data. The results of the analysis of the spatial pattern of the IMERG data show that, there was a decrease in rainfall from May to July, but the rainfall increased into August, and again experienced a decline entering the months of September to December where the same pattern was also shown from the results of the spatial pattern analysis on the Observation data. The decrease in rainfall in the May-December 2015 period was a strong El Nino effect as evidenced by the results of the correlation analysis of the SOI index on rainfall which showed a fairly strong correlation value, namely 0.55.The validation of IMERG data on monthly observation data showed that the average correlation was sufficient strong is 0.42 and analysis per rain post shows a weak correlation namely 0.31, which means that data IMERG is not yet accurate as an alternative to the observation rainfall data in Bali Province.
Highlights
Abstract –Limitations of observational data such as insufficient data length, incomplete, and uneven station distribution make it difficult to analyze and predict rain, so it requires supporting instruments such as satellites to provide a better and broader picture of rainfall distribution
necessary to test the accuracy of satellite data because the resolution and conditions
there was a decrease in rainfall from May
Summary
Hujan merupakan salah satu unsur iklim yang sering dikaji di Indonesia karena memiliki tingkat keragaman yang sangat tinggi baik secara temporal maupun spasial. Dapat digunakan satelit GPM (Global Precipitation Measurement) yang memiliki resolusi spasial dan temporal tinggi, cakupan wilayah luas, data near real-time, akses cepat, dan ekonomis [4]. Keberadaan data yang memiliki resolusi spasial dan temporal yang baik dapat memberikan pemahaman secara kuantitatif tentang hubungan curah hujan di Provinsi Bali dengan kondisi iklim pada skala yang lebih luas. Data Integrated Multi-Satellite Retrievals for GMP (IMERG) merupakan salah satu data satelit GPM yang dirancang khusus untuk mengukur curah hujan di daerah tropis dan subtropis. Tujuan penelitian ini adalah melakukan perbandingan pola spasial serta validasi data curah hujan IMERG terhadap data observasi pada periode El Nino 2015 yaitu Mei- Desember 2015
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