Articles | Volume 19, issue 20
https://doi.org/10.5194/gmd-19-9957-2026
https://doi.org/10.5194/gmd-19-9957-2026
Development and technical paper
 | 
19 Oct 2026
Development and technical paper |  | 19 Oct 2026

Development and validation of ARMS-gb v2.0: extending fast radiative transfer modeling capability to all-sky conditions for ground-based microwave radiometer retrievals

Ziyue Huang, Yi-Ning Shi, Fuzhong Weng, and Jun Yang

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Cited articles

Bauer, P., Geer, A. J., Lopez, P., and Salmond, D.: Direct 4D-Var assimilation of all-sky radiances. Part I: Implementation, Q. J. Roy. Meteor. Soc., 136, 1868–1885, 2010. 
Cao, Y., Shi, B., Zhao, X., Yang, T., and Min, J.: Direct Assimilation of Ground-Based Microwave Radiometer Clear-Sky Radiance Data and Its Impact on the Forecast of Heavy Rainfall, Remote Sens.-Basel, 15, 4314, https://doi.org/10.3390/rs15174314, 2023. 
China Meteorological Administration: China Meteorological Data Service Center, https://data.cma.cn/en (last access: 15 October 2026), 2026. 
Cimini, D., Hewison, T. J., Martin, L., Güldner, J., Gaffard, C., and Marzano, F. S.: Temperature and humidity profile retrievals from ground-based microwave radiometers during TUC, Meteorol. Z., 15, 45–56, https://doi.org/10.1127/0941-2948/2006/0099, 2006. 
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Short summary
Ground-based microwave instruments can continuously observe the lower atmosphere, but clouds make their measurements harder to use. We improved a computer model so that it represents how cloud and rain particles affect these observations, and tested it with six months of measurements from two sites in China. The updated model performed better under cloudy conditions without rain, supporting more reliable use of these observations in atmospheric monitoring and weather forecasting.
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