Articles | Volume 15, issue 20
https://doi.org/10.5194/amt-15-5917-2022
https://doi.org/10.5194/amt-15-5917-2022
Research article
 | 
19 Oct 2022
Research article |  | 19 Oct 2022

Comparison of GRUAN data products for Meisei iMS-100 and Vaisala RS92 radiosondes at Tateno, Japan

Shunsuke Hoshino, Takuji Sugidachi, Kensaku Shimizu, Eriko Kobayashi, Masatomo Fujiwara, and Masami Iwabuchi

Related authors

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
Comparison of the GRUAN data products for Meisei RS-11G and Vaisala RS92-SGP radiosondes at Tateno (36.06° N, 140.13° E), Japan
Eriko Kobayashi, Shunsuke Hoshino, Masami Iwabuchi, Takuji Sugidachi, Kensaku Shimizu, and Masatomo Fujiwara
Atmos. Meas. Tech., 12, 3039–3065, https://doi.org/10.5194/amt-12-3039-2019,https://doi.org/10.5194/amt-12-3039-2019, 2019
Short summary

Related subject area

Subject: Others (Wind, Precipitation, Temperature, etc.) | Technique: In Situ Measurement | Topic: Validation and Intercomparisons
Time-resolved measurements of the densities of individual frozen hydrometeors and fresh snowfall
Dhiraj K. Singh, Eric R. Pardyjak, and Timothy J. Garrett
Atmos. Meas. Tech., 17, 4581–4598, https://doi.org/10.5194/amt-17-4581-2024,https://doi.org/10.5194/amt-17-4581-2024, 2024
Short summary
Uncertainties in temperature statistics and fluxes determined by sonic anemometers due to wind-induced vibrations of mounting arms
Zhongming Gao, Heping Liu, Dan Li, Bai Yang, Von Walden, Lei Li, and Ivan Bogoev
Atmos. Meas. Tech., 17, 4109–4120, https://doi.org/10.5194/amt-17-4109-2024,https://doi.org/10.5194/amt-17-4109-2024, 2024
Short summary
Performance evaluation of MeteoTracker mobile sensor for outdoor applications
Francesco Barbano, Erika Brattich, Carlo Cintolesi, Abdul Ghafoor Nizamani, Silvana Di Sabatino, Massimo Milelli, Esther E. M. Peerlings, Sjoerd Polder, Gert-Jan Steeneveld, and Antonio Parodi
Atmos. Meas. Tech., 17, 3255–3278, https://doi.org/10.5194/amt-17-3255-2024,https://doi.org/10.5194/amt-17-3255-2024, 2024
Short summary
Impacts of anemometer changes, site relocations and processing methods on wind speed trends in China
Yi Liu, Lihong Zhou, Yingzuo Qin, Cesar Azorin-Molina, Cheng Shen, Rongrong Xu, and Zhenzhong Zeng
Atmos. Meas. Tech., 17, 1123–1131, https://doi.org/10.5194/amt-17-1123-2024,https://doi.org/10.5194/amt-17-1123-2024, 2024
Short summary
Validation of Aeolus L2B products over the tropical Atlantic using radiosondes
Maurus Borne, Peter Knippertz, Martin Weissmann, Benjamin Witschas, Cyrille Flamant, Rosimar Rios-Berrios, and Peter Veals
Atmos. Meas. Tech., 17, 561–581, https://doi.org/10.5194/amt-17-561-2024,https://doi.org/10.5194/amt-17-561-2024, 2024
Short summary

Cited articles

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
Carreño, C. R., Suárez, A., Torrecilla, J. L., Berrocal, M. C., Manchón, P. M., Manso, P. P., Bernabé, A. H., Fernández, D. G., and Hong, Y.: GAA-UAM/scikit-fda: Version 0.4 (0.4), Zenodo [code], https://doi.org/10.5281/zenodo.3957915, 2020. a, b
CGMS: Consolidated report of CGMS activities (10th edition, V10), The Coordination Group for Meteorological Satellites (CGMS), Tech. rep., http://www.cgms-info.org/documents/consolidated-report-of-cgms-activities-%282003%29.pdf (last access: 3 December 2020), 2003. a
CIMO Task Team on Upper-air Intercomparison: Project Plan for the WMO Upper-Air Instrument Intercomparison, https://community.wmo.int/activity-areas/imop/intercomparisons, (last access: June 2021) 2020. a
Colombo, P. and Fassò, A.: Quantifying the interpolation uncertainty of radiosonde humidity profiles, Meas. Sci. Technol., 33, 074001, https://doi.org/10.1088/1361-6501/ac5bff, 2022. a
Download
Short summary
GRUAN data products (GDPs) from Meisei iMS-100 and Vaisala RS92 were compared with 59 dual sounding data. For daytime observations, the iMS-100 temperature is around 0.5 K lower than RS92-GDP in the stratosphere, but for nighttime observations, the difference is around −0.1 K, and data are mostly in agreement. For relative humidity (RH), iMS-100 is around 1–2 % RH higher in the troposphere and 1 % RH smaller in the stratosphere than RS92, but both GDPs are in agreement for most of the profile.