An Improved Resampling Method for Brightness Temperature of HY-2B Scanning Microwave Radiometer.

The Scanning Microwave Radiometer (SMR) onboard the Haiyang-2B satellite (HY-2B) can provide valuable observation data for various research fields. Resampling enables consistent spatial characteristics of SMR brightness temperature (BT) data from different channels, which is essential for the multi-channel collaborative retrieval of geophysical parameters. However, as the satellite moves, the relative position between the fields of view (FOVs) of different channels changes, and the error resulting from this factor is ignored by the traditional resampling method. Therefore, in this paper, the traditional resampling effect of SMR data at different orbital positions is analyzed in detail. Additionally, an improved resampling method based on multiple scan rows is proposed to reduce resampling errors while maintaining real-time resampling. In the long-term data experiment, compared with the traditional method, the mean Fit Error and Fit Error variation range obtained by the proposed method can be reduced by 57.92% and 54.07%, respectively. In the BT error analysis experiment, the differences in spatial resolution and geolocation between different channels can be eliminated more accurately by the proposed method, and the maximum and average BT errors on the selected long-term data are reduced by 3.80 K and 1.82 K, respectively.