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This study introduces a novel experimental setup to measure radio frequency (RF) signal attenuation for estimating precipitation rates at lower frequencies (under 10 GHz). Results show a clear relationship between signal attenuation and rainfall intensity, enabling more accurate weather monitoring.

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Area of Science:

  • Environmental Science
  • Atmospheric Science
  • Electrical Engineering

Background:

  • Climate change necessitates accurate precipitation estimation for extreme weather event management.
  • Radio frequency (RF) signal attenuation is a promising method for precipitation rate estimation.
  • Existing research primarily focuses on frequencies above 10 GHz, leaving lower frequencies under-explored due to minimal signal attenuation.

Purpose of the Study:

  • To develop and validate a high-precision experimental setup for detecting subtle RF signal attenuation below 10 GHz.
  • To investigate the relationship between signal attenuation and precipitation rate at specific low frequencies (2.07, 4.63, and 6.22 GHz).

Main Methods:

  • Designed and implemented a specialized transmitter and receiver system for low-frequency RF signal analysis.
  • Conducted preliminary measurements with a power resolution below 10-5 dB to quantify signal attenuation.
  • Analyzed the relationship between measured signal attenuation and precipitation rates across three distinct frequencies.

Main Results:

  • The experimental setup successfully detected subtle signal attenuation caused by precipitation at 2.07, 4.63, and 6.22 GHz.
  • A consistent power law relationship was established between signal attenuation and precipitation rate for all tested frequencies.
  • Higher frequencies within the tested range exhibited more pronounced signal attenuation, as predicted.

Conclusions:

  • The study demonstrates the feasibility of using low-frequency RF signal attenuation for accurate precipitation estimation.
  • The developed high-precision setup overcomes previous measurement challenges at frequencies under 10 GHz.
  • This innovative approach offers potential for improved weather monitoring and climate change adaptation strategies.