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In this study, we compare the data of the advanced geostationary radiation imager (AGRI) on board the FY-4B and the advanced meteorological imager (AMI) on board the GK-2A, in terms of overall data, different reflectivity/brightness temperature intervals, different regions, and different underlying surfaces. The results show that the AGRI and AMI data are generally consistent; the mean biases for reflectivity channels show a range of 0.50% to 1.69%, with channel VIR004 being exceptionally good, while brightness temperature (TB) differences in the IR channels ranging from 0.11 to 0.57 K, with channel IR120 being the most accurate. The reflectivity of the AGRI is higher than that of the AMI in terms of mean bias. The dispersion of the reflectivity difference between the AGRI and AMI is smaller at the short-wavelength channels than that at the longer-wavelength channels. The TB data observed by the AGRI are higher than those of AMI at conditions above 310 K. In the case of observing the same target, the difference in infrared brightness temperature due to the random noise signal is small. The differences between the two sensors can be considerably reduced by revising mean biases. In the following studies of quantitative product algorithms, the characteristics of sensor data need to be further analyzed in detail.

In people's daily life, the role of weather forecast is self-evident. However, the accuracy of forecasting is based on the accuracy and reliability of meteorological data which depends on the sensitivity of meteorological device. Therefore, an important duty of the detection institution of meteorological metrical device is to have the effective detection of meteorological device, so as to ensure a high sensitivity of the device. However, the meteorological device used by some meteorological bureaus is not technologically advanced and the device detection mode is too old, which cannot meet the new regulations issued by the China Meteorological Administration. So it is necessary for the meteorological bureau to develop a set of devices that can easily meet the new meteorological measurement requirements, which is of great significance to ensure the accurate measurement of meteorological data.

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