Time-Series Analysis and Statistical Forecasting of Daily Rainfall in Kupang, East Nusa Tenggara, Indonesia: A Pilot Study
Deskripsi:
This study introduces a statistical time-series approach to analyze daily rainfall in Kupang, Indonesia. Using the piecewise cubic Hermite interpolation, missing data were filled, and the continuous wavelet transform (CWT) identified a strong annual rainfall pattern. The Rainfall Anomaly Index (RAI) was used to assess wet/dry conditions, with time-series modeling predicting future RAI values. The Prophet model showed an RMSE of 0.84 and effectively captured increasing drought trends and seasonal wet/dry patterns.
117 Downloads
Topik tematik:
Jenis Arsip: Jurnal
Tahun terbit: 2022
Bahasa: Bahasa Inggris
Penulis: Sandy H.S Herho, Gisma A. Firdaus
Penerbit: International Journal of Data Science
Lisensi: Publik
ISBN/ISSN: 2722-2039
Format: PDF
Ukuran File: 1 MB
# Hal: 9 halaman
