The assimilation of multi-type information for seasonal precipitation forecasting using modular neural network

• Main Authors: Junaida, Sulaiman, Noorhuzaimi@Karimah, Mohd Noor, Suryanti, Awang
• Format: Article
• Language: English
• Published: Publishing Technology 2017
• Subjects: QA76 Computer software; TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://umpir.ump.edu.my/id/eprint/27001/1/The%20assimilation%20of%20multi-type%20information%20for%20seasonal%20.pdf; http://umpir.ump.edu.my/id/eprint/27001/; https://doi.org/10.1166/asl.2017.10284; https://doi.org/10.1166/asl.2017.10284
• Institution: Universiti Malaysia Pahang

The rainfall occurrences are triggered by different types of climate sources not restricted to past precipitation values but may include climate indices such as El Nino/Southern Oscillation, Indian Ocean Dipole, and Madden Julian Oscillation. In this paper, we investigated the effectiveness of assim...