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Summary
This summary is machine-generated.

Determining optimal meteorological data resolution for infrasound propagation is crucial. This study found that varying horizontal resolutions in weather models had less impact than range-dependence, with no clear optimal resolution identified.

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Area of Science:

  • Atmospheric science
  • Acoustics
  • Geophysics

Background:

  • Accurate meteorological data is vital for predicting infrasound propagation.
  • Weather model simulations often provide meteorological inputs when measurements are unavailable.
  • The ideal spatial resolution for these simulations remains undetermined.

Purpose of the Study:

  • To identify the optimal horizontal resolution for meteorological data in infrasound simulations.
  • To compare the impact of different spatial resolutions on infrasound propagation predictions.
  • To evaluate the influence of range-dependent versus range-independent meteorological inputs.

Main Methods:

  • Infrasound simulations using a parabolic equation propagation model.
  • Utilizing meteorological data from the Weather Research and Forecasting (WRF) model at 1, 3, 5, and 15 km resolutions.
  • Comparing simulation outputs with experimental data from controlled C4 explosions.

Main Results:

  • Simulations accurately predicted infrasound detection during morning and nighttime.
  • Transitional periods (dawn, evening) showed partial success in prediction.
  • Differences in prediction results due to changing horizontal resolutions were greater than those from range-dependent vs. -independent inputs.

Conclusions:

  • No definitive optimal horizontal resolution for meteorological inputs was identified.
  • The choice between range-dependent and range-independent inputs had a more significant effect than resolution.
  • Further research is needed to fully understand the influence of meteorological data resolution on infrasound modeling.