Articles | Volume 18, issue 6
https://doi.org/10.5194/gmd-18-1947-2025
https://doi.org/10.5194/gmd-18-1947-2025
Development and technical paper
 | 
25 Mar 2025
Development and technical paper |  | 25 Mar 2025

Development of a fast radiative transfer model for ground-based microwave radiometers (ARMS-gb v1.0): validation and comparison to RTTOV-gb

Yi-Ning Shi, Jun Yang, Wei Han, Lujie Han, Jiajia Mao, Wanlin Kan, and Fuzhong Weng

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Cited articles

Cady-Pereira, K. E., Turner, E., and Saunders, R.: Inter-comparison of line-by-line radiative transfer models MonoRTM and AMSUTRAN for microwave frequencies from the Top-Of-Atmosphere, Tech. Rep. NWPSAF-MO-VS-057, NWP SAF, https://nwp-saf.eumetsat.int/publications/vs_reports/nwpsaf-mo-vs-057.pdf (lsat access: 30 January 2024), 2021. a
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., 15, 4314, https://doi.org/10.3390/rs15174314, 2023. a
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Chen, H., Han, W., Wang, H., Pan, C., An, D., Gu, S., and Zhang, P.: Why and How Does the Actual Spectral Response Matter for Microwave Radiance Assimilation?, Geophys. Res. Lett., 48, e2020GL092306, https://doi.org/10.1029/2020GL092306, 2021. a
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Short summary
Direct assimilation of observations from ground-based microwave radiometers (GMRs) holds significant potential for improving forecast accuracy. Radiative transfer models (RTMs) play a crucial role in direct data assimilation. In this study, we introduce a new RTM, the Advanced Radiative Transfer Modeling System – Ground-Based (ARMS-gb), designed to simulate brightness temperatures observed by GMRs along with their Jacobians. Several enhancements have been incorporated to achieve higher accuracy.
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