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

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

doi:10.5194/gmd-19-9957-2026

Articles | Volume 19, issue 20

https://doi.org/10.5194/gmd-19-9957-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-19-9957-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 19, issue 20

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

Data sets

Supplementary processed datasets for the evaluation of ARMS-gb v2.0 all-sky ground-based microwave radiometer simulations Ziyue Huang and Yi-Ning Shi https://doi.org/10.5281/zenodo.21262924

Complete ERA5 global atmospheric reanalysis Copernicus Climate Change Service https://doi.org/10.24381/cds.143582cf

Model code and software

Development and validation of ARMS-gb v2.0: Extending fast radiative transfer modeling capability to all-sky conditions for ground-based microwave radiometers Ziyue Huang et al. https://doi.org/10.5281/zenodo.21254364

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.