Deriving tropical cyclone associated flood hazard information using clustered GPM-IMERG rainfall signatures: A case study in Dominica

C Nabukulu, VG Jetten, J Ettema, B van den Bout… - 2022 - researchsquare.com
Different stakeholders are now looking for methods suitable for communicating the potential
impacts of tropical cyclone (TC) associated rainfall and the subsequent flood hazard. We …

Spatial Weighting Selection in GSTAR and S-GSTAR Models for Temperature Prediction

R Utami, U Mukhaiyar, N Mardiyah… - Jurnal Matematika …, 2024 - journal.unhas.ac.id
Recent research in time series analysis indicates that events at a particular location are not
only influenced by events at previous times but also by proximity between locations. Events …

[PDF][PDF] Prediction interval in seasonal autoregressive integrated moving average (SARIMA) model for rainfall forecasting and drought

VM Nikmatillah, D Anggraeni… - Proceedings of the …, 2018 - pdfs.semanticscholar.org
The prediction interval in the forecasting process is the most important part of knowing
indication of uncertainty in forecasts value. The uncertainty also serves to reduce the …

A satellite-based analysis of tropical cyclone rainfall for improved flood hazard assessment, case study in Dominica

C Nabukulu - 2021 - essay.utwente.nl
The severity of weather events accompanying tropical cyclones (TC), such as torrential
precipitation and strong winds, is changing because of increased global anthropogenic …

[引用][C] Generalized Space Time Autoregressive (GSTAR) Model for Air Temperature Forecasting in the South Sumatera, Riau, and Jambi Provinces

A Aprianti, N Faulina, M Usman - InPrime: Indonesian Journal of Pure and Applied …, 2024

[引用][C] Penerapan Metode Ensemble Kalman Filter Dalam Perbaikan Hasil Prediksi Curah Hujan Dengan Model Seasonal Arima

DA WIBISONO