In this study, we explored the spectral characteristics of radiance data collected by the Geostationary Interferometric Infrared Sounder (GIIRS) aboard the Feng-Yun-4B (FY-4B) geostationary meteorological satellite. We compared GIIRS brightness temperature observations with the first guess from the regional numerical weather forecast model of the Japan Meteorological Agency, and analyzed the bias errors in brightness temperature under clear-sky conditions. In the longwave band, we observed checkerboard patterns of bias error distributions in the CO2 channel. Focusing on the imaginary signals from the radiance data obtained through interferometry with a Fourier transform spectrometer, we believe that the observed bias errors are primarily attributed to electrical factors rather than GIIRS interferometry itself, and most of these errors can be corrected by estimating them in advance. Conversely, in the midwave band, we observed concave bias error distributions in the GIIRS instrument’s dwell, indicating that these may be related to GIIRS interferometry. Additionally, we examined the characteristics of the imaginary signal under cloudy conditions by comparing it with the cloud physical property products from Himawari-9. It was observed that large imaginary signals tended to appear in GIIRS data for scenes with high clouds and low brightness temperatures. This indicates that the imaginary signal could serve as auxiliary information for assessing whether observations are influenced by clouds, particularly high clouds including optically thin cirrus clouds. For the quantitative use of GIIRS data, it is important to consider these bias errors and perform quality control using the imaginary signal.
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