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Uncertainty evaluation for aneroid barometer measurement part II: "Monte Carlo method"
Mingming Wei1,2, Yan Qi3, Xingwang Chen1
1Jiangxi Provincial Meteorological Observation Center, Nanchang 330096, China.
The Review of Scientific Instruments
|March 20, 2025
Summary
The Monte Carlo method (MCM) offers superior accuracy and efficiency for aneroid barometer uncertainty evaluation compared to the GUM method. Adaptive MCM (AMCM) is particularly efficient, while the GUM method remains suitable for indication error evaluation.
Area of Science:
- Metrology and Measurement Science
- Instrumentation and Measurement
Background:
- Accurate measurement uncertainty evaluation is crucial for aneroid barometer calibration.
- Traditional GUM (Guide to the Expression of Uncertainty in Measurement) method has limitations in certain evaluations.
Purpose of the Study:
- To propose and evaluate the Monte Carlo method (MCM) for aneroid barometer measurement uncertainty.
- To compare MCM (single-batch and adaptive) against the GUM method for calibration results.
- To verify the applicability and effectiveness of MCM in improving accuracy and efficiency.
Main Methods:
- Employed an improved calibration technique for precise aneroid barometer data collection.
- Applied single-batch MCM and adaptive MCM (AMCM) for uncertainty evaluation.
- Conducted control evaluations using traditional methods and compared results with GUM and MCM.
Main Results:
- MCM demonstrated superior accuracy, reliability, and efficiency over the GUM method.
- AMCM showed enhanced performance with fewer simulations and greater efficiency than single-batch MCM.
- MCM significantly improved accuracy for indication error uncertainty, while GUM remained suitable for this specific evaluation.
Conclusions:
- MCM, particularly AMCM, is recommended for aneroid barometer uncertainty evaluation due to its efficiency and accuracy.
- The GUM method is validated by MCM and remains appropriate for indication error uncertainty assessment.
- The study highlights MCM's advantages in enhancing measurement uncertainty evaluation accuracy for aneroid barometers.
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