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Qualitative Precipitation Estimation from Satellite Data Based on Distributed Domain-Specific Architecture

机译:基于分布式域特定架构的卫星数据的定性降水估算

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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.
机译:本文介绍了基于HIMAWARI卫星和分布式域特定架构的数据的定性降水估计(QPE)。 QPE过程包括每10分钟从卫星接收和管理原始数据,并计算雨温关系。 该研究的目的是通过使用分布式域 - 特定架构(DDSA)来减少QPE处理时间,9个小计算板连接到千兆交换机。 该分布式嵌入式系统而不是使用高性能PC,而不是每10分钟从卫星接收的间隔数据。 实验结果表明,所提出的快速卫星数据处理算法对于DDSA平台上的QPE处理是最佳的,需要115.53秒处理时间和低功耗。

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