The geolocation accuracy of meteorological satellites is a key factor in remote-sensing applications.The microwave radiation imager（MWRI） onboard the FengYun（FY）-3B satellite provides measurements of the Earth’s atmosphere and surface at 10.65 GHz

18.7 GHz

23.8 GHz

36.5 GHz

and 89.0 GHz with dual polarization.Although FY-3 MWRI data have been widely distributed to the user community

their geolocation accuracy must be corrected to render the MWRI data useful for quantitative remote sensing.To improve the geolocation accuracy of FY-3B MWRI measurements

a method based on the brightness temperature difference between the ascending and descending orbits is used in the conical scanning MWRI at the 89 GHz channel and called Node Differential Method（NDM）.The core principle of the geolocation error correction algorithm is minimizing the number of pixels along the coastlines

where the node difference in brightness temperature is greater than the threshold（20 K） and the distance from the coastlines near the Mediterranean Sea is less than 100 km.In this study

a satellite attitude model（satellite coordinate system） is established based on the vectors of the satellite position and velocity to estimate the satellite attitude angles

and a nonlinear optimization algorithm is used to minimize the objective function.This algorithm can avoid the effect of the tuning order of pitch

roll

and yaw in the traditional method.The satellite attitude offset（i.e.

pitch

roll

and yaw） can be derived and further utilized to adjust the satellite attitude.After the satellite attitude angle correction

the geolocation errors in the MWRI at the89 GHz channel are corrected.Results show that the FY-3B MWRI at the 89 GHz channel has the mean offset of the satellite attitude

with the pitch

roll

and yaw angles from January to September of 2015 being-0.220°

0.068°

and 0.062°

respectively.The mean geolocation error in the along-track direction is approximately 3—4 km

and that in the cross-track direction is less than 1 km at 89 GHz.The geolocation errors are stable during this period.They exist in the Mediterranean Sea

Australia

Red Sea

and Southeast of South America in the MWRI LI data.The geolocation errors are detected from the high absolute values of brightness temperature difference between the ascending and descending orbits near the coastal regions and from the maps of brightness temperature compared with the coastlines.After geolocation error correction

the MWRI geolocation accuracy is improved at the 89 GHz channel.In this study

the geolocation error correction algorithm is applied to the selected coastal regions from the middle and high latitudes of the north and south hemispheres of Earth.This algorithm can be extended to global measurement correction.The attitudes normally explain the status and stability of the satellite.Although the geolocation error can be corrected by adjusting satellite attitude offset

other factors

such as sensor mounting

uncertainty in the ephemeris data

or timing error

must be considered in future studies to improve geolocation accuracy.