Yin et al. (2025) The Preliminary Assimilation and Impacts of FY‐4B Geostationary Interferometric Infrared Sounder (GIIRS) Cloud‐Cleared Radiances

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Identification

• Journal: Journal of Geophysical Research Atmospheres
• Year: 2025
• Date: 2025-11-27
• Authors: Ruoying Yin, Wei Han, Zhijun Zhao, Xinya Gong, Senyi Kong, Feng Zhang, Jun Li
• DOI: 10.1029/2025jd043520

Research Groups

China Meteorological Administration (CMA)

Short Summary

This study evaluates the impact of assimilating Cloud-Cleared Radiances (CCRs) from the Fengyun-4B Geostationary Interferometric Infrared Sounder (GIIRS) on Numerical Weather Prediction (NWP). It finds that CCRs significantly increase assimilated observations and provide modest positive contributions to analysis and forecast fields, particularly for typhoon events.

Objective

• To evaluate the impact of assimilating Geostationary Interferometric Infrared Sounder (GIIRS) Cloud-Cleared Radiances (CCRs) on Numerical Weather Prediction (NWP) using the China Meteorological Administration Global Forecast System (CMA-GFS).

Study Configuration

• Spatial Scale: Global (CMA-GFS), Geostationary observation (GIIRS on FY-4B).
• Temporal Scale: 1-month cycle assimilation and forecast experiments.

Methodology and Data

• Models used: China Meteorological Administration Global Forecast System (CMA-GFS).
• Data sources: Geostationary Interferometric Infrared Sounder (GIIRS) on Fengyun (FY)‐4B, Advanced Geostationary Radiation Imager (AGRI) for cloud mask retrieval.

Main Results

• Cloud-Cleared Radiances (CCRs) assimilation increased the amount of assimilated GIIRS observations by nearly 50%.
• CCRs exhibited a larger standard deviation of Observation minus Background (O-B) compared to clear-sky radiances.
• CCRs assimilation showed a modest positive contribution to analysis fields, including geopotential height, low-level humidity, and wind fields.
• It improved the forecast fields of geopotential height and precipitation skill scores.
• The assimilation demonstrated better forecast potential in typhoon weather processes.

Contributions

• Provides the first evaluation of the impact of Fengyun-4B GIIRS Cloud-Cleared Radiances (CCRs) on Numerical Weather Prediction (NWP).
• Offers valuable insights for the prospective operational application of FY-4B GIIRS CCRs in NWP systems.
• Demonstrates a method to effectively utilize a large amount of previously unused cloud-affected hyperspectral infrared data from geostationary satellites.

Funding

Not specified in the abstract.

Citation

@article{Yin2025Preliminary,
  author = {Yin, Ruoying and Han, Wei and Zhao, Zhijun and Gong, Xinya and Kong, Senyi and Zhang, Feng and Li, Jun},
  title = {The Preliminary Assimilation and Impacts of FY‐4B Geostationary Interferometric Infrared Sounder (GIIRS) Cloud‐Cleared Radiances},
  journal = {Journal of Geophysical Research Atmospheres},
  year = {2025},
  doi = {10.1029/2025jd043520},
  url = {https://doi.org/10.1029/2025jd043520}
}