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Non-equilibrium Microwave Plasma for Efficient High Temperature Chemistry
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Probability theory for 3-layer remote sensing in ideal gas law environment
Optics Express
|October 10, 2013
Summary
This study extends radiative transfer models to ideal gas conditions. The correlation between transmission and temperature in 3 layers has a minimal impact on at-sensor radiance probability density functions.
Area of Science:
- Atmospheric science
- Radiative transfer modeling
- Remote sensing
Background:
- Existing probability models for radiative transfer are extended.
- Ideal gas conditions introduce correlations between transmission and temperature in atmospheric layers.
Purpose of the Study:
- To investigate the impact of transmission-temperature correlations on radiative transfer models.
- To determine if the complexity of accounting for these correlations is necessary.
Main Methods:
- Extending a 3-layer radiative transfer probability model.
- Analyzing the effect of transmission-temperature correlations on the probability density function of at-sensor radiances.
Main Results:
- The correlation between transmission and temperature has a surprisingly small effect on the probability density function for at-sensor radiances.
- Perturbations on variance population parameters are small.
- Cancellation of perturbation terms in model moment expressions minimizes the overall effect.
Conclusions:
- The added complexity of addressing transmission-temperature correlations in ideal gas conditions can be avoided.
- The current radiative transfer model is robust to these correlations.
- Simplified modeling approaches are validated for specific atmospheric conditions.
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