Articles | Volume 10, issue 7
Atmos. Meas. Tech., 10, 2485–2498, 2017
Atmos. Meas. Tech., 10, 2485–2498, 2017

Research article 14 Jul 2017

Research article | 14 Jul 2017

Comparison of Vaisala radiosondes RS41 and RS92 launched over the oceans from the Arctic to the tropics

Yoshimi Kawai et al.

Related authors

Freshwater in the Arctic Ocean 2010–2019
Amy Solomon, Céline Heuzé, Benjamin Rabe, Sheldon Bacon, Laurent Bertino, Patrick Heimbach, Jun Inoue, Doroteaciro Iovino, Ruth Mottram, Xiangdong Zhang, Yevgeny Aksenov, Ronan McAdam, An Nguyen, Roshin P. Raj, and Han Tang
Ocean Sci., 17, 1081–1102,,, 2021
Short summary
Application of cloud particle sensor sondes for estimating the number concentration of cloud water droplets and liquid water content: case studies in the Arctic region
Jun Inoue, Yutaka Tobo, Kazutoshi Sato, Fumikazu Taketani, and Marion Maturilli
Atmos. Meas. Tech., 14, 4971–4987,,, 2021
Short summary
Satellite-retrieved sea ice concentration uncertainty and its effect on modelling wave evolution in marginal ice zones
Takehiko Nose, Takuji Waseda, Tsubasa Kodaira, and Jun Inoue
The Cryosphere, 14, 2029–2052,,, 2020
Short summary
Ozone and carbon monoxide observations over open oceans on R/V Mirai from 67° S to 75° N during 2012 to 2017: testing global chemical reanalysis in terms of Arctic processes, low ozone levels at low latitudes, and pollution transport
Yugo Kanaya, Kazuyuki Miyazaki, Fumikazu Taketani, Takuma Miyakawa, Hisahiro Takashima, Yuichi Komazaki, Xiaole Pan, Saki Kato, Kengo Sudo, Takashi Sekiya, Jun Inoue, Kazutoshi Sato, and Kazuhiro Oshima
Atmos. Chem. Phys., 19, 7233–7254,,, 2019
Short summary
Medium-range predictability of early summer sea ice thickness distribution in the East Siberian Sea based on the TOPAZ4 ice–ocean data assimilation system
Takuya Nakanowatari, Jun Inoue, Kazutoshi Sato, Laurent Bertino, Jiping Xie, Mio Matsueda, Akio Yamagami, Takeshi Sugimura, Hironori Yabuki, and Natsuhiko Otsuka
The Cryosphere, 12, 2005–2020,,, 2018
Short summary

Related subject area

Subject: Others (Wind, Precipitation, Temperature, etc.) | Technique: In Situ Measurement | Topic: Validation and Intercomparisons
Something fishy going on? Evaluating the Poisson hypothesis for rainfall estimation using intervalometers: results from an experiment in Tanzania
Didier de Villiers, Marc Schleiss, Marie-Claire ten Veldhuis, Rolf Hut, and Nick van de Giesen
Atmos. Meas. Tech., 14, 5607–5623,,, 2021
Short summary
Suitability of fibre-optic distributed temperature sensing for revealing mixing processes and higher-order moments at the forest–air interface
Olli Peltola, Karl Lapo, Ilkka Martinkauppi, Ewan O'Connor, Christoph K. Thomas, and Timo Vesala
Atmos. Meas. Tech., 14, 2409–2427,,, 2021
Short summary
Characterizing and correcting the warm bias observed in AMDAR temperature observations
Siebren de Haan, Paul M. A. de Jong, and Jitze van der Meulen
Atmos. Meas. Tech. Discuss.,,, 2021
Revised manuscript accepted for AMT
Short summary
Validation of Aeolus winds using radiosonde observations and numerical weather prediction model equivalents
Anne Martin, Martin Weissmann, Oliver Reitebuch, Michael Rennie, Alexander Geiß, and Alexander Cress
Atmos. Meas. Tech., 14, 2167–2183,,, 2021
Short summary
Smartphone pressure data: quality control and impact on atmospheric analysis
Rumeng Li, Qinghong Zhang, Juanzhen Sun, Yun Chen, Lili Ding, and Tian Wang
Atmos. Meas. Tech., 14, 785–801,,, 2021
Short summary

Cited articles

Ciesielski, P. E., Johnson, R. H., and Wang, J: Correction of humidity biases in Vaisala RS80-H sondes during NAME, J. Atmos. Ocean. Tech., 26, 1763–1780,, 2009.
Ciesielski, P. E., Chang, W.-M., Huang, S. -C., Johnson, R. H., Jou, B. J.-D., Lee, W.-C., Lin, P.-H., Liu, C.-H., and Wang, J.: Quality-controlled upper-air sounding dataset for TiMREX/SoWMEX: Development and corrections, J. Atmos. Ocean. Tech., 27, 1802–1821,, 2010.
Ciesielski, P. E., Yu, H., Johnson, R. H., Yoneyama, K., Katsumata, M., Long, C. N., Wang, J., Loehrer, S. M., Young, K., Williams, S. F., Brown, W., Braun, J., and Van Hove, T.: Quality-controlled upper-air sounding dataset for DYNAMO/CINDY/AMIE: Development and corrections, J. Atmos. Ocean. Tech., 31, 741–764,, 2014.
Fujita, M., Kimura, F., Yoneyama, K., and Yoshizaki, M.: Verification of precipitable water vapor estimated from shipborne GPS measurements, Geophys. Res. Lett., 35, L13803,, 2008.
Short summary
The model RS92 radiosonde manufactured by Vaisala Ltd. is now being replaced with a successor model, the RS41, and we need to clarify accuracy differences between them for a variety of research. For this purpose, 36 twin-radiosonde flights were performed over the oceans from the Arctic to the tropics. Basically the differences between the RS41 and RS92 were smaller than the nominal combined uncertainties of the RS41; however, we found non-negligible biases in relative humidity and pressure.