Author(s): Mohamad Basel Alsawaf; Yasuharu Watanabe; Katsuaki Komai; Yasuhiro Yoshikawa; Hidekazu Shirai
Linked Author(s): Yasuharu Watanabe, Katsuaki Komai, Hidekazu Shirai
Keywords: Information-complexity; Rainfall; Randomness; Cold Regions; Okhotsk
Abstract: In recent years, a substantial increase in the frequency of extreme rainfall events with subsequent flood disasters has been witnessed. Given the stochasticity of rainfall records, a comprehensive understanding of rainfall patterns is essential for sustainable river basin management. This study investigates the variety of annual rainfall patterns in the Okhotsk Region using an advanced integrated information-complexity based approach. The proposed approach excelled at identifying substantial rainfall patterns and characterizing their internal structures. The findings revealed a strong correlation between massive precipitation events (East Asian monsoons, tropical cyclones) and flood events. Furthermore, information-complexity metrics effectively characterized the internal structure of rainfall patterns, including their randomness and duration. It was found that as the high information content increased, the number of daily rainfalls increased. Higher complexity content was accompanied by longer continuous rainfall events. Overall, this work opens new avenues for applying this information-based approach to various environmental systems where hidden pattern extraction is critical.
Year: 2024