Articles | Volume 14, issue 8
Data description paper
03 Aug 2022
Data description paper |  | 03 Aug 2022

Microwave radiometry experiment for snow in Altay, China: time series of in situ data for electromagnetic and physical features of snowpack

Liyun Dai, Tao Che, Yang Zhang, Zhiguo Ren, Junlei Tan, Meerzhan Akynbekkyzy, Lin Xiao, Shengnan Zhou, Yuna Yan, Yan Liu, Hongyi Li, and Lifu Wang

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Cited articles

Aoki, T., Hachikubo, A., and Hori, M.: Effects of snow physical parameters on shortwave broadband albedos, J. Geophys. Res-Atmos., 108, 4616,, 2003. 
Babaeian, E., Sadeghi, M., Jones, S. B., Montzka, C., Vereecken, H., and Tuller, M.: Ground, Proximal, and Satellite Remote Sensing of Soil Moisture, Rev. Geophys., 57, 530–616,, 2019. 
Chen, T., Pan, J. M., Chang, S. L., Xiong, C., Shi, J. C., Liu, M. Y., Che, T., Wang, L. F., and Liu, H. R.: Validation of the SNTHERM Model Applied for snow depth, grain size, and brightness temperature simulation at meteorological stations in China, Remote Sens., 12, 507,, 2020. 
Cline, D., Elder, K., Davis, B., Hardy, J., Liston, G., Imel, D., Yueh, S., Gasiewski, A., Koh, G., Amstrong, R., and Parsons, M.: An overview of the NASA Cold Land Processes Field Experiment (CLPX-2002), P. Soc. Photo-Opt. Ins., 4894, 361–372,, 2003. 
Short summary
An Integrated Microwave Radiometry Campaign for Snow (IMCS) was conducted to collect ground-based passive microwave and optical remote-sensing data, snow pit and underlying soil data, and meteorological parameters. The dataset is unique in continuously providing electromagnetic and physical features of snowpack and environment. The dataset is expected to serve the evaluation and development of microwave radiative transfer models and snow process models, along with land surface process models.