Data iklim dianalisis untuk mengidentifikasi perubahan besaran parameter iklim maupun peristiwa iklim ekstrem. Data yang menjadi kajian berasal dari Stasiun Meteorologi Serang, Banten. Tujuan penelitian ini adalah menganalisis karakterisktik data cuaca stasiun pengamatan cuaca Serang terutama pada suhu udara dan curah hujan serta mengidentifikasi perubahan pada pola dan nilai kedua parameter tersebut. Pengolahan data dilakukan dengan menggunakan RClimdex untuk mengetahui adanya perubahan jangka panjang suhu dan curah hujan. Secara keseluruhan slope indeks suhu udara pada stasiun pengamatan Serang mengalami penurunan diantaranya indeks TX10p dan TN10p, yang mengindikasikan jumlah hari dengan suhu minimum pada siang hari dan malam hari mengalami penurunan. Pada stasiun Serang slope indeks suhu udara (TN90p) cenderung meningkat yang mengindikasikan suhu minimum lebih hangat. Indeks curah hujan hampir seluruhnya mengalami penurunan kecuali CDD yang menunjukkan peningkatan jumlah hari tanpa hujan berturut-turut di wilayah Serang.

Rainfall is a significant climate parameter in various sectoral of human activities. Despite that, precise rainfall prediction is necessary. One factor which can affect the rainfall is Sea Surface Temperature. We used Sea Surface Temperature data in Indonesia limited by 14° LS - 10° LU and 90° BT - 142° BT to predict monthly rainfall in West Lombok. The method used in this study is Principal Component Regression. Regression is calculated using 1998-2013 data, with Principal Component Analysis result of Indonesian Sea Surface Temperature as the predictor. Validation using contingency table for 2014-2018 rainfall characteristic data in West Lombok showed that rainfall prediction is appropriate with the rainfall pattern observation data.

The existence of magnitude type variation from existing earthquake catalogue sources show that uniforming process is necessary. Beside that these type of magnitude will saturates in certain value, which are different with moment magnitude (Mw) which is not saturated and can describe earthquake process better. Our research initially did compatibility test between summary magnitude which is largely used by BMKG with other magnitude type. Furthermore, the purpose of our research is determination of empirical relation between magnitude type summary magnitude (M), local magnitude (ML), body-wave magnitude (mb), dan surface magnitude (Ms) which are usually used by earthquake catalogues to Mw. Method used in this research is linear regression using data set from BMKG, ISC-EHB, USGS, and Global CMT catalogues with are limited in West Nusa Tenggara and surrounding area. Data used in this research contains of 24.703 earthquake events during period May 9th 1922 until June 27th 2020. The result of this research shows there was good relation between M magnitude type with others magnitude type. Our research also found a conversion formula of M, ML, MLv, mb, and Ms to Mw with well-defined correlation.