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Automated statistical approach to Langley evaluation for a solar radiometer
Michele A Kuester1, Kurtis J Thome, John A Reagan
1Colorado Research Associates Division, North West Research Associates, Incorporated, 3380 Mitchell Lane, Boulder, Colorado 80301, USA. michele.kuester@colorado.edu
Applied Optics
|September 4, 2003
Summary
A new statistical approach to Langley evaluation (SALE) improves automated solar radiometer calibration. This method accurately determines good calibration days and calculates intercept values, matching manual processing results.
Area of Science:
- Atmospheric science
- Instrument calibration
- Radiometry
Background:
- Accurate solar radiometer calibration is crucial for atmospheric research.
- Manual calibration methods are time-consuming and prone to error.
- Automated calibration requires robust algorithms for reliability.
Purpose of the Study:
- To develop an improved, automated calibration method for solar radiometers.
- To introduce a statistical approach to Langley evaluation (SALE).
- To automate the determination of suitable calibration days and intercept calculation.
Main Methods:
- Development of software implementing the statistical approach to Langley evaluation (SALE).
- Automated daily assessment of solar radiometer calibration suitability.
- Automated calculation of solar radiometer intercept values.
Main Results:
- The SALE method successfully identifies good calibration days.
- Automated intercept calculation aligns with manual processing outcomes.
- The automated calibration method achieves accuracy within the error margins of manual approaches.
Conclusions:
- The SALE method provides a reliable and automated approach to solar radiometer calibration.
- This automated method enhances efficiency and maintains accuracy in calibration data.
- The developed software offers a significant improvement over traditional manual calibration techniques.