Qualitative Precipitation Estimation from Satellite Data Based on Distributed Domain-Specific Architecture. (16th February 2021)

• Record Type: Journal Article
• Authors: Prongnuch, Sethakarn; Wiangtong, Theerayod; Sitjongsataporn, Suchada
• Other Names: Markopoulos Angelos Academic Editor.
• Is Part Of: Modelling and simulation in engineering. Volume 2021(2021)
• Publication Date: 2021-02-16
• Subjects: Engineering -- Simulation methods -- Periodicals; Engineering -- Mathematical models -- Periodicals; 620.004
• DOI: 10.1155/2021/8827900
• Languages: English
• ISSNs: 1687-5591

Abstract

Abstract : This paper presents the qualitative precipitation estimation (QPE) based on data from the Himawari satellite and distributed-domain specific architecture. The QPE process consists of receiving and managing the raw data from the satellite every 10 minutes and calculating the rain-temperature relationship. The aim of this research is to decrease the QPE processing time by using distributed domain-specific architecture (DDSA), with 9 small computing boards are connected to a gigabit switch. Instead of using a high-performance PC, this distributed embedded system is also suitable for processing interval data receiving from the satellite every 10 minutes. The experimental results show that the proposed fast-satellite data processing algorithm is optimal for QPE processing on the DDSA platform, requiring 115.53 seconds processing time and low power consumption.