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Updated: Apr 6, 2026

Irradiator Commissioning and Dosimetry for Assessment of LQ α and β Parameters, Radiation Dosing Schema, and in vivo Dose Deposition
Published on: March 11, 2021
NAIRAS aircraft radiation model development, dose climatology, and initial validation
Christopher J Mertens1, Matthias M Meier2, Steven Brown3
1NASA Langley Research Center Hampton, Virginia, USA.
The Nowcast of Atmospheric Ionizing Radiation for Aviation Safety (NAIRAS) model accurately predicts aviation radiation exposure from galactic cosmic rays (GCR). Validation shows NAIRAS is within 25% of measured data, meeting safety standards.
Area of Science:
- Atmospheric physics
- Radiation dosimetry
- Aviation safety
Background:
- Commercial aircrews and passengers face radiation exposure during flights.
- Accurate real-time assessment of atmospheric ionizing radiation is crucial for aviation safety.
- Galactic Cosmic Rays (GCR) and Solar Energetic Particles (SEP) are primary radiation sources.
Purpose of the Study:
- Describe the NAIRAS GCR transport and dosimetry methodologies.
- Present a climatology of atmospheric dose rates at airline altitudes for solar cycle variations.
- Validate the NAIRAS model against existing radiation measurement data.
Main Methods:
- Utilized a global, physics-based, free-running model (NAIRAS).
- Predicted dosimetric quantities from GCR and SEP, including geomagnetic field responses.
- Compared NAIRAS predictions with reference measurements and 2008 aircraft data.
Main Results:
- NAIRAS GCR predictions are within 25% of measured data for doses >= 1 mSv annually, meeting ICRU uncertainty limits.
- Single-point comparisons show NAIRAS predictions within 50% of measured data.
- Model improvements are expected with a new pion-initiated cascade code integration.
Conclusions:
- The NAIRAS model provides a reliable assessment of atmospheric GCR exposure for aviation safety.
- The model's current performance aligns with acceptable radiation dose uncertainty criteria.
- Ongoing development aims to further enhance the accuracy of radiation dose predictions.
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