Articles | Volume 15, issue 5
https://doi.org/10.5194/amt-15-1107-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-15-1107-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
04 Mar 2022
Research article |
| 04 Mar 2022
| 04 Mar 2022
Radiation correction and uncertainty evaluation of RS41 temperature sensors by using an upper-air simulator
Sang-Wook Lee
Division of Physical Metrology, Korea Research Institute of Standards and Science, Daejeon 34113, Republic of Korea
Department of Science of Measurement, University of Science and
Technology, Daejeon 34113, Republic of Korea
Sunghun Kim
Division of Physical Metrology, Korea Research Institute of Standards and Science, Daejeon 34113, Republic of Korea
Young-Suk Lee
Division of Physical Metrology, Korea Research Institute of Standards and Science, Daejeon 34113, Republic of Korea
Byung Il Choi
Division of Physical Metrology, Korea Research Institute of Standards and Science, Daejeon 34113, Republic of Korea
Woong Kang
Division of Physical Metrology, Korea Research Institute of Standards and Science, Daejeon 34113, Republic of Korea
Youn Kyun Oh
Division of Physical Metrology, Korea Research Institute of Standards and Science, Daejeon 34113, Republic of Korea
Seongchong Park
Division of Physical Metrology, Korea Research Institute of Standards and Science, Daejeon 34113, Republic of Korea
Jae-Keun Yoo
Division of Physical Metrology, Korea Research Institute of Standards and Science, Daejeon 34113, Republic of Korea
Joohyun Lee
Frontier of Extreme Physics, Korea Research Institute of Standards and Science, Daejeon 34113, Republic of Korea
Sungjun Lee
Division of Physical Metrology, Korea Research Institute of Standards and Science, Daejeon 34113, Republic of Korea
Suyong Kwon
Division of Physical Metrology, Korea Research Institute of Standards and Science, Daejeon 34113, Republic of Korea
Department of Science of Measurement, University of Science and
Technology, Daejeon 34113, Republic of Korea
Yong-Gyoo Kim
CORRESPONDING AUTHOR
Division of Physical Metrology, Korea Research Institute of Standards and Science, Daejeon 34113, Republic of Korea
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Cited
14 citations as recorded by crossref.
- Drone-Based Vertical Atmospheric Temperature Profiling in Urban Environments J. Laukys et al. https://doi.org/10.3390/drones7110645
- A new method for estimating atmospheric turbulence from global high-resolution radiosonde data and comparison with the Thorpe method H. Ko & H. Chun https://doi.org/10.5194/essd-18-1905-2026
- Evaluating temperature and humidity measurement biases in RS92 and RS41 radiosondes using radio occultation data F. Mashao et al. https://doi.org/10.1088/1361-6501/ae61d2
- A multi-physics field analysis of sounding temperature sensors based on computational fluid dynamics J. Yang et al. https://doi.org/10.1108/SR-11-2024-0911
- Justification for high-ascent attainment for balloon radiosonde soundings at GRUAN and other sites M. Fujiwara et al. https://doi.org/10.5194/amt-18-2919-2025
- Development of a sounding temperature sensor with four wires for upper-air temperature measurements L. Cui et al. https://doi.org/10.1016/j.measurement.2025.117069
- Data Quality Control and Calibration for Mini-Radiosonde System “Storm Tracker” in Taiwan H. KUO et al. https://doi.org/10.2151/jmsj.2025-029
- Laboratory characterisation of the radiation temperature error of radiosondes and its application to the GRUAN data processing for the Vaisala RS41 C. von Rohden et al. https://doi.org/10.5194/amt-15-383-2022
- Integrating satellite-based atmospheric soundings and machine learning to correct radiosonde temperature biases F. Mashao et al. https://doi.org/10.1016/j.jastp.2026.106803
- Laboratory characterisation and intercomparison sounding test of dual thermistor radiosondes for radiation correction S. Lee et al. https://doi.org/10.5194/amt-15-2531-2022
- Multi-physics coupled simulation and hybrid mechanistic data driven modeling for high-accuracy radiation error correction in sounding temperature sensors J. Lu et al. https://doi.org/10.1108/SR-07-2025-0509
- Design of a Radiation Error Correction Algorithm for Four-wire Sounding Temperature Sensor Y. Liu et al. https://doi.org/10.2528/PIERC25102802
- Mixture Regression for Clustering Atmospheric-Sounding Data: A Study of the Relationship between Temperature Inversions and PM10 Concentrations P. Mlakar & J. Faganeli Pucer https://doi.org/10.3390/atmos14030481
- Validation and traceability of miniaturized multi-parameter cluster radiosondes used for atmospheric observations S. Abdunabiev et al. https://doi.org/10.1016/j.measurement.2023.113879
14 citations as recorded by crossref.
- Drone-Based Vertical Atmospheric Temperature Profiling in Urban Environments J. Laukys et al. https://doi.org/10.3390/drones7110645
- A new method for estimating atmospheric turbulence from global high-resolution radiosonde data and comparison with the Thorpe method H. Ko & H. Chun https://doi.org/10.5194/essd-18-1905-2026
- Evaluating temperature and humidity measurement biases in RS92 and RS41 radiosondes using radio occultation data F. Mashao et al. https://doi.org/10.1088/1361-6501/ae61d2
- A multi-physics field analysis of sounding temperature sensors based on computational fluid dynamics J. Yang et al. https://doi.org/10.1108/SR-11-2024-0911
- Justification for high-ascent attainment for balloon radiosonde soundings at GRUAN and other sites M. Fujiwara et al. https://doi.org/10.5194/amt-18-2919-2025
- Development of a sounding temperature sensor with four wires for upper-air temperature measurements L. Cui et al. https://doi.org/10.1016/j.measurement.2025.117069
- Data Quality Control and Calibration for Mini-Radiosonde System “Storm Tracker” in Taiwan H. KUO et al. https://doi.org/10.2151/jmsj.2025-029
- Laboratory characterisation of the radiation temperature error of radiosondes and its application to the GRUAN data processing for the Vaisala RS41 C. von Rohden et al. https://doi.org/10.5194/amt-15-383-2022
- Integrating satellite-based atmospheric soundings and machine learning to correct radiosonde temperature biases F. Mashao et al. https://doi.org/10.1016/j.jastp.2026.106803
- Laboratory characterisation and intercomparison sounding test of dual thermistor radiosondes for radiation correction S. Lee et al. https://doi.org/10.5194/amt-15-2531-2022
- Multi-physics coupled simulation and hybrid mechanistic data driven modeling for high-accuracy radiation error correction in sounding temperature sensors J. Lu et al. https://doi.org/10.1108/SR-07-2025-0509
- Design of a Radiation Error Correction Algorithm for Four-wire Sounding Temperature Sensor Y. Liu et al. https://doi.org/10.2528/PIERC25102802
- Mixture Regression for Clustering Atmospheric-Sounding Data: A Study of the Relationship between Temperature Inversions and PM10 Concentrations P. Mlakar & J. Faganeli Pucer https://doi.org/10.3390/atmos14030481
- Validation and traceability of miniaturized multi-parameter cluster radiosondes used for atmospheric observations S. Abdunabiev et al. https://doi.org/10.1016/j.measurement.2023.113879
Saved (final revised paper)
Latest update: 09 Jun 2026
Short summary
The measurement of temperature in the free atmosphere is of significance for weather prediction and climate monitoring. Radiosondes are used to measure essential climate variables in upper air. Herein, an upper-air simulator is developed, and its performance is evaluated to improve the measurement accuracy of radiosondes by reproducing the environments that may be encountered by radiosondes. The paper presents a methodology to correct the main source of error for the radiosonde measurements.
The measurement of temperature in the free atmosphere is of significance for weather prediction...
