Optimization of passive atmospheric remote sensing systems based on the integral criterion of reproducibility and repeatability

Hikmet H. Asadov1 *,
Nargiz Sh. Ebilova2,
Khumar S. Aliyeva3

1, 2, 3 Azerbaijan National Aerospace Agency, Baku, the Republic of Azerbaijan
1 asadzade@rambler.ru *corresponding author), ORCID: 0000-0003-1180-1535
2 nergizebilova@gmail.com, ORCID: 0009-0004-5236-3927
3a.khumar.1962@gmail.com, ORCID: 0009-0002-6657-3445, Scopus ID: 59660151500

Al’manac of Modern Metrology № 1 (45) 2025, pages 110–117

The page of the article in Russian

Original article

Abstract. The article is devoted to the systematic analysis of passive remote sensing of the atmosphere using the Shewhart method. It is shown that the Shewhart approach can be applied to the selection of statistical accuracy characteristics of measuring systems used to control statistical accuracy indicators of controlled processes, which include the total water vapor in the atmosphere measured by solar photometers included in the mea­suring network. The optimization problem of selecting the accuracy characteristics of the measuring system and the operator is formulated and solved with known statistical indi­cators of the variability of total water vapor in the atmosphere at which the repeatability and reproducibility (R&R) index reaches a maximum value. The optimal function of the dependence of the standard deviation of the measuring system on the standard deviation of the total water vapor is calculated, at which the % R&R index reaches a maximum.

Keywords: atmosphere, Shewhart method, optimization, ground‑based remote sensing, system analysis, solar photometer, water vapor in atmosphere, standard deviation

For citation: Asadov H.H., Ebilova N.Sh., Aliyeva Kh.S. Optimization of passive atmospheric remote sensing systems based on the integral criterion of reproducibility and repeatability. Almanac of Modern Metrology. 2026; 45 (1): 110–117.

Funding. The article was prepared at the initiative of the author without the involvement of external funding.
Contribution of the authors. The authors contributed equally to the research and writing of the article.
Conflict of interests. The authors declare that they have no potential conflict of interest related to the research presented in this article.

References

1. Diering M. The Method of the Current Evaluating the Suitability of the Measurement System in the Manufacturing Process. Poland, Poznan: Faculty of Mechanical Engi­neering and Management, Poznan University of Technology; 2010.

2. Diering M., Hamrol A., Kujawińska A. Measurement system analysis combined with Shewhart’s approach. Key Engineering Materials. 2015; 637: 7–11. https://doi.org/10.4028/www.scientific.net/KEM.637.7.

3. Morozova A.E., Yurakov N.S., Yurakova T.G. Application of the Shewhart control charts for statistical quality control of details. Modern Materials, Techniques and Tech­nologies. 2018; 6 (21): 68–72. EDN: YTQPWP. (In Russ.)

4. Tsarev Yu.V., Trostin A.N. Statistical Methods of Quality Control and Management. Control Charts: educational and methodological guide. Ivanovo, Russia: Ivanovo State University of Chemistry and Technology (ISUCT); 2006. 250 p. (In Russ.)

5. Shper V.L., Sheremetyeva S.A., Smelov V.Yu., Khunuzidi E.I. Shewhart control charts — a simple, but not easy tool for data analysis. Ferrous Metallurgy. 2024; 67 (1): 121–131. EDN: BYVLBO. (In Russ.)

6. Elsgolts L.E. Differential Equations and Variational Calculus. Moscow: Nauka; 1974. 432 p. (In Russ.)

Full texts of articles are available only in Russian in printed issues of the magazine.

Previouse article ……. Contents ……. Next article