Articles | Volume 15, issue 2
https://doi.org/10.5194/amt-15-383-2022
https://doi.org/10.5194/amt-15-383-2022
Research article
 | 
27 Jan 2022
Research article |  | 27 Jan 2022

Laboratory characterisation of the radiation temperature error of radiosondes and its application to the GRUAN data processing for the Vaisala RS41

Christoph von Rohden, Michael Sommer, Tatjana Naebert, Vasyl Motuz, and Ruud J. Dirksen

Related authors

On the quality of RS41 radiosonde descent data
Bruce Ingleby, Martin Motl, Graeme Marlton, David Edwards, Michael Sommer, Christoph von Rohden, Holger Vömel, and Hannu Jauhiainen
Atmos. Meas. Tech., 15, 165–183, https://doi.org/10.5194/amt-15-165-2022,https://doi.org/10.5194/amt-15-165-2022, 2022
Short summary
Interpolation uncertainty of atmospheric temperature profiles
Alessandro Fassò, Michael Sommer, and Christoph von Rohden
Atmos. Meas. Tech., 13, 6445–6458, https://doi.org/10.5194/amt-13-6445-2020,https://doi.org/10.5194/amt-13-6445-2020, 2020
Short summary
Managing the transition from Vaisala RS92 to RS41 radiosondes within the Global Climate Observing System Reference Upper-Air Network (GRUAN): a progress report
Ruud J. Dirksen, Greg E. Bodeker, Peter W. Thorne, Andrea Merlone, Tony Reale, Junhong Wang, Dale F. Hurst, Belay B. Demoz, Tom D. Gardiner, Bruce Ingleby, Michael Sommer, Christoph von Rohden, and Thierry Leblanc
Geosci. Instrum. Method. Data Syst., 9, 337–355, https://doi.org/10.5194/gi-9-337-2020,https://doi.org/10.5194/gi-9-337-2020, 2020
Short summary
Use of automatic radiosonde launchers to measure temperature and humidity profiles from the GRUAN perspective
Fabio Madonna, Rigel Kivi, Jean-Charles Dupont, Bruce Ingleby, Masatomo Fujiwara, Gonzague Romanens, Miguel Hernandez, Xavier Calbet, Marco Rosoldi, Aldo Giunta, Tomi Karppinen, Masami Iwabuchi, Shunsuke Hoshino, Christoph von Rohden, and Peter William Thorne
Atmos. Meas. Tech., 13, 3621–3649, https://doi.org/10.5194/amt-13-3621-2020,https://doi.org/10.5194/amt-13-3621-2020, 2020
Short summary
The sound speed anomaly of Baltic seawater
C. von Rohden, S. Weinreben, and F. Fehres
Ocean Sci., 12, 275–283, https://doi.org/10.5194/os-12-275-2016,https://doi.org/10.5194/os-12-275-2016, 2016
Short summary

Related subject area

Subject: Others (Wind, Precipitation, Temperature, etc.) | Technique: Laboratory Measurement | Topic: Instruments and Platforms
Pre-launch calibration and validation of the Airborne Hyper-Angular Rainbow Polarimeter (AirHARP) instrument
Brent A. McBride, J. Vanderlei Martins, J. Dominik Cieslak, Roberto Fernandez-Borda, Anin Puthukkudy, Xiaoguang Xu, Noah Sienkiewicz, Brian Cairns, and Henrique M. J. Barbosa
Atmos. Meas. Tech., 17, 5709–5729, https://doi.org/10.5194/amt-17-5709-2024,https://doi.org/10.5194/amt-17-5709-2024, 2024
Short summary
Measuring diameters and velocities of artificial raindrops with a neuromorphic event camera
Kire Micev, Jan Steiner, Asude Aydin, Jörg Rieckermann, and Tobi Delbruck
Atmos. Meas. Tech., 17, 335–357, https://doi.org/10.5194/amt-17-335-2024,https://doi.org/10.5194/amt-17-335-2024, 2024
Short summary
Optimization of a Picarro L2140-i cavity ring-down spectrometer for routine measurement of triple oxygen isotope ratios in meteoric waters
Jack A. Hutchings and Bronwen L. Konecky
Atmos. Meas. Tech., 16, 1663–1682, https://doi.org/10.5194/amt-16-1663-2023,https://doi.org/10.5194/amt-16-1663-2023, 2023
Short summary
Improving continuous-flow analysis of triple oxygen isotopes in ice cores: insights from replicate measurements
Lindsey Davidge, Eric J. Steig, and Andrew J. Schauer
Atmos. Meas. Tech., 15, 7337–7351, https://doi.org/10.5194/amt-15-7337-2022,https://doi.org/10.5194/amt-15-7337-2022, 2022
Short summary
Contactless optical hygrometry in LACIS-T
Jakub L. Nowak, Robert Grosz, Wiebke Frey, Dennis Niedermeier, Jędrzej Mijas, Szymon P. Malinowski, Linda Ort, Silvio Schmalfuß, Frank Stratmann, Jens Voigtländer, and Tadeusz Stacewicz
Atmos. Meas. Tech., 15, 4075–4089, https://doi.org/10.5194/amt-15-4075-2022,https://doi.org/10.5194/amt-15-4075-2022, 2022
Short summary

Cited articles

Albrecht, H. E., Borys, M., Damaschke, N., and Tropea, C.: Laser Doppler and Phase Doppler Measurement Techniques, Springer, Berlin, Heidelberg, https://doi.org/10.1007/978-3-662-05165-8, 2003. a
Bodeker, G. E., Bojinski, S., Cimini, D., Dirksen, R. J., Haeffelin, M., Hannigan, J. W., Hurst, D. F., Leblanc, T., Madonna, F., Maturilli, M., Mikalsen, A. C., Philipona, R., Reale, T., Seidel, D. J., Tan, D. G. H., Thorne, P. W., Vömel, H., and Wang, J.: Reference Upper-Air Observations for Climate: From Concept to Reality, B. Am. Meteorol. Soc., 97, 123–135, https://doi.org/10.1175/BAMS-D-14-00072.1, 2016. a
de Podesta, M., Bell, S., and Underwood, R.: Air temperature sensors: dependence of radiative errors on sensor diameter in precision metrology and meteorology, Metrologia, 55, 229–244, https://doi.org/10.1088/1681-7575/aaaa52, 2018. a
Dirksen, R. J., Sommer, M., Immler, F. J., Hurst, D. F., Kivi, R., and Vömel, H.: Reference quality upper-air measurements: GRUAN data processing for the Vaisala RS92 radiosonde, Atmos. Meas. Tech., 7, 4463–4490, https://doi.org/10.5194/amt-7-4463-2014, 2014. a, b, c, d, e
Dirksen, R. J., Bodeker, G. E., Thorne, P. W., Merlone, A., Reale, T., Wang, J., Hurst, D. F., Demoz, B. B., Gardiner, T. D., Ingleby, B., Sommer, M., von Rohden, C., and Leblanc, T.: Managing the transition from Vaisala RS92 to RS41 radiosondes within the Global Climate Observing System Reference Upper-Air Network (GRUAN): a progress report, Geosci. Instrum. Method. Data Syst., 9, 337–355, https://doi.org/10.5194/gi-9-337-2020, 2020. a
Download
Short summary
Heating by solar radiation is the dominant error source for daytime temperature measurements by radiosondes. This paper describes a new laboratory setup (SISTER) to characterise this radiation error for pressures and ventilation speeds that are typical for the conditions between the surface and 35 km altitude. This characterisation is the basis for the radiation correction that is applied in the GRUAN data processing for the RS41 radiosonde. The GRUAN data product is compared to that of Vaisala.