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Big Data Enhancement of R0.01Reliability for Rain Attenuation Model Optimization in Thailand
Author(s)
Pa-In, Wetchaphat
Date Issued
January 1, 2025
Type
Conference Paper
Abstract
Rain attenuation prediction is crucial for satellite communication, particularly in tropical regions like Thailand. A key parameter in rain attenuation modeling is the rainfall rate exceeded for 0.01% of the time (R0.01). This study collects big data from rain gauges across Thailand, recorded at 1-minute intervals over three years (2022-2024), and analyzes the Data Reception Rate (DRR) by comparing annual rainfall rates. This analysis also monitors the development and quality of the rain gauge network. The results, showing a high DRR, indicate the reliability of R0.01. This reliable R0.01 can then be used to accurately calculate the predicted attenuation exceeded for 0.01% of the time (A0.01), derived from slant-path measurements following the ITU-R model, using existing satellites serving Thailand.
Citation
2025 International Symposium on Antennas and Propagation Isap 2025, 2025