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April 16, 2026International Journal of Satellite Communications and Networking

A New Space‐ and Time‐Correlated Tropospheric Attenuation Timeseries Synthesizer Driven by Low‐Resolution Meteorological Information for Earth–Space Communication Systems

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Authors

JQJulien QueyrelXBXavier BoulangerLCLaurent Castanet

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Overview

A modeling approach improves tropospheric attenuation predictions in Earth-Space Communication systems, suggesting better operational outcomes.

Key Points

  • To develop a timeseries synthesizer that accurately predicts tropospheric attenuation using meteorological data and stochastic modeling.
  • Combines low-resolution ERA5 meteorological data with random stochastic components.
  • Calibrates contributions using high-resolution WRF-ARW simulations linked to an electromagnetic module.
  • Assesses model performance by comparing synthetic outputs to long-term ITU-R P. predictions.
  • The new model produces more realistic outage and nonoutage periods compared to previous methods.
  • Demonstrated good agreement between synthetic cumulative distribution functions and traditional ITU-R P. models.
  • Successfully analyzed fade and interfade durations, revealing longer periods than the original ITU-R model.

Cite This Study

Queyrel et al. (2026) studied this question.

synapsesocial.com/papers/69e07d732f7e8953b7cbe6b6https://doi.org/10.1002/sat.70051
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